This document summarizes a study that examined determinants of female labor participation in farm and non-farm livelihood enterprises in northern Ghana. The study used survey data from over 13,000 individuals in northern Ghana to analyze gender differences in labor participation. Chi-square analysis found significant gender disparities in participation in crop production, livestock, non-farm self-employment, and paid work. Probit regression identified location, household status, marital status, literacy, participation in decision making, income, and control over resources as significant determinants of female participation in farm and non-farm enterprises and paid work. The study recommends empowering females through education, decision making, and control over resources to facilitate their participation.
This document summarizes a lecture on women's participation in the labor market. It discusses women's roles in different economic ages from agro-economy to knowledge economy. It provides an overview of women in the labor market globally and characteristics like predominantly unpaid work and part-time work. It then focuses on women in the labor market in Asia, South Asia, and Nepal specifically. It outlines trends in different sectors like agriculture, industry and services. It also discusses the large rates of women in vulnerable employment and informal work. Overall, the lecture analyzes patterns of women's participation in the labor market across economic contexts and regions.
Indian Women in the Labour Force
Dr. Vibhuti Patel
Reader, Centre for Women’s Studies
Department of Economics,
University of Mumbai, Kalina,
Santacruz (East), Mumbai-400098
E mail-vibhuti@vsnl.net Ph®-6770227
Ph(W)-6527956,57Ext.553,Fax-6528198
Statistical Profile of Women
• Women constitute ½ of the world’s population, 2/3 of the world’s labour force but get 1/10th of the world’s income and 1% of the world’s Wealth.
• As per 2001 Census, 23% of women are in the work force. 94% of all working women are in the informal sector.
Work participation rate
Major Findings of Time use Survey
– “Women carry a disproportionately greater burden of work than men and since women are responsible for a greater share of non-SNA
( system of National Accounts) work in the care economy , they enter labour market already overburdened with work.” Report of Gender Diagnosis and Budgeting in India of National Institute of Public Finance and Policy, NIPFP. December, 2001.
WORK PARTICIPATION RATES 1991
The Female Economic Activity Rate (FEAR)
Census of India, 2001, Series 1
Distribution of Women Employees Across Industries
Women in the organized Sector
Women constitute only 14% of the total employment in the organized sector. It is concentrated in Maharashtra, Delhi, West Bengal, Uttar Pradesh and Tamilnadu.
In the urban areas, FEAR in tertiary sector has increased, from 37.6 % in 1983 to 52.9 % in 1999. (Economic Survey, 2002, GOI).
Here, women workers and employees get relatively better wages, standard working hours, and the protection of labour laws.
Women in the Informal Sector
Factors Affecting Women’s Labour Force Participation
• Changes in age-structure, urbanisation, level & nature of economic development, infrastructure, government policies, labour laws, nature of work, structure of family, culture & tradition affecting autonomy and control, fertility levels and childbearing practices, nature of housework,women’s property rights, education, age at marriage, migration, access to technology.
Segmentation in the labour market
• Nature of wage differentials (WD)-for identical tasks women are paid less. And women are confined to relatively inferior tasks, casual work.
• Causes of WD-patriarchal attitude, myths
• Effects of WD- subordination of women, son preference, man is treated as a “bread winner”- Head of the Household (HoH)
Affirmative Action to remove
Wage Differential
*Legislative measures
*Equal Remuneration Act
*Formation of women’s union
*Constitutional guarantees
*Job reservation for women
*Self Help Groups(SHGs)
Demands of the Women’s Groups
Labour Legislations
Special Facilities for Women
Women and Trade Unions(T.U.)
Women’s Action Plan for T.U.s
Role of Human Rights Organisations
Women and Development Debate
Development Alternatives With Women
Human Development With Distributive Justice
Implications of Development Process on Women
Use of conservative ideology to retrench and lay off women
Women’s Challenges to the T.U.s
Role of the UN System-ILO, UNICEF
Changing Livelihood Strategies Changing Labour Market ProspectsKeshab Giri
The lecture discussed changing livelihood strategies and labor market prospects from a gender perspective. It defined key terms like livelihood strategies and explored how they are dynamic and shaped by factors like policies, institutions, and access to resources. The lecture then examined how livelihoods are vulnerable to sudden changes and trends. It discussed how changes in livelihoods impact women disproportionately. The lecture also analyzed gender roles in livelihood strategies and sustainable development. Finally, it explored shifting labor market trends like globalization and women's participation being characterized by unpaid work, lower wages, and sectoral segregation. The reasons for fewer women in the workforce were summarized from structural, socio-cultural and feminist perspectives.
Gender Division of Labour and New Skills in South AsiaKeshab Giri
This document summarizes a lecture on gender and the knowledge economy in South Asia. The lecture discusses how the knowledge economy relies on populations with strong STEM skills, but that gender gaps exist in these fields despite more equal opportunities. New skills like communication, leadership, and lifelong learning are important for employment but women face disadvantages developing these skills. The lecture also overviewed different approaches to skills development in South Asia, including strengthening technical vocational education and training systems, fostering knowledge intensity through workforce training, and developing local skills ecosystems. Student-led discussion topics focused on positive discrimination, constraints on women in formal labor markets, and gender gaps in the knowledge economy representing missed opportunities.
Women’s labour is a rich and valuable resource for a country as it can significantly boost growth prospects and improve socio-economic conditions as also ensure better outcomes for the next generation. Therefore, enhancing women participation in the labour force is a critical endeavour for driving overall social and sustainable development.
Despite positive growth and development parameters in the last 20-25 years, India has experienced a continuous decline in its female labour force participation rate (FLFPR). The total FLFPR declined sharply from 42.7% in 2004-05 to 31.2% in 2011-12 which further declined to 27.4% in 2015-2016. In 2013, International Labour Organization (ILO) ranked India’s FLFPR at 121 out of 130 countries, one of the lowest in the world. India also secured a poor rank in the Global Gender Gap Report 2017 by World Economic Forum, where it was ranked 108 out of 144 economies.
The largest drop in FLFPR took place in rural areas and was specifically prominent in the working age group of 20-44 years. This is a major factor that is responsible for pulling down the overall FLFPR. On the other hand, the urban FLFPR which has been historically lower than the rural FLFPR, has fluctuated.
Women's Labor Force Participation in PakistanTania Saleem
Women's labor force participation in Pakistan is the lowest in South Asia, at around 19% compared to 35-50% elsewhere in the region. This is due to numerous cultural, social, and economic barriers that limit women's employment opportunities and mobility. Traditional gender norms that confine women to domestic duties, lack of childcare support, sexual harassment, and religious misconceptions that prohibit women from working are some of the key factors responsible for the low participation rate. Policymakers need to address these issues and promote inclusive policies to encourage greater female participation in the workforce, which is essential for Pakistan's development.
Off-farm employment in rural areas can be a major contributor to rural poverty reduction and decent rural employment. While women are highly active in the agricultural sector, they are less active than men in off-farm employment. This study analyzes the determinants of participation in off-farm employment of women in rural Uganda. The study is based on a field survey conducted in nine districts with the sample size of 1200 individual females. A two-stage Hechman’s sample selection model was applied to capture women’s decision to participate and the level of participation in non-farm economic activities. Summary statistics of the survey data from rural Uganda shows that: i) poverty and non-farm employment has a strong correlation, implying the importance of non-farm employment as a means for poverty reduction; and ii) there is a large gender gap to access non-farm employment, but the gender gap has been significantly reduced from group of older age to younger generation. The econometric results finds that the following factors have a significant influence on women’s participation in off-farm employment: education level of both the individual and household head (positive in both stages); women’s age (negative in both stages); female-headed household (negative in first stage); household head of polygamous marriage (negative in both stages); distance from major town (negative in the first stage); household size (positive in the second stage); dependency ratio (negative in the second stage); access to and use of government extension services (positive in the first stage); access to and use of an agricultural loan (negative in the second stage); and various district dummies variables. The implications of these findings suggest that those policies aimed at enhancing the identified determinants of women off-farm employment can promote income-generating opportunities for women groups in comparable contexts. In order to capitalize on these positive linkages, policies should be designed to improve skills and knowledge by providing education opportunities and increasing access to employment training, assistance services and loans for non-farm activities and by targeting women in female-headed, large and distant households. The government should increase investments in public infrastructure and services, such as roads, telecommunications and emergency support.
1. The document examines macroeconomic implications of gender gaps in labor force participation.
2. Female labor force participation rates remain low globally at 50% on average, with significant cross-regional differences.
3. Closing gender gaps in labor markets could boost GDP substantially in many countries by enabling women to develop their full economic potential.
This document summarizes a lecture on women's participation in the labor market. It discusses women's roles in different economic ages from agro-economy to knowledge economy. It provides an overview of women in the labor market globally and characteristics like predominantly unpaid work and part-time work. It then focuses on women in the labor market in Asia, South Asia, and Nepal specifically. It outlines trends in different sectors like agriculture, industry and services. It also discusses the large rates of women in vulnerable employment and informal work. Overall, the lecture analyzes patterns of women's participation in the labor market across economic contexts and regions.
Indian Women in the Labour Force
Dr. Vibhuti Patel
Reader, Centre for Women’s Studies
Department of Economics,
University of Mumbai, Kalina,
Santacruz (East), Mumbai-400098
E mail-vibhuti@vsnl.net Ph®-6770227
Ph(W)-6527956,57Ext.553,Fax-6528198
Statistical Profile of Women
• Women constitute ½ of the world’s population, 2/3 of the world’s labour force but get 1/10th of the world’s income and 1% of the world’s Wealth.
• As per 2001 Census, 23% of women are in the work force. 94% of all working women are in the informal sector.
Work participation rate
Major Findings of Time use Survey
– “Women carry a disproportionately greater burden of work than men and since women are responsible for a greater share of non-SNA
( system of National Accounts) work in the care economy , they enter labour market already overburdened with work.” Report of Gender Diagnosis and Budgeting in India of National Institute of Public Finance and Policy, NIPFP. December, 2001.
WORK PARTICIPATION RATES 1991
The Female Economic Activity Rate (FEAR)
Census of India, 2001, Series 1
Distribution of Women Employees Across Industries
Women in the organized Sector
Women constitute only 14% of the total employment in the organized sector. It is concentrated in Maharashtra, Delhi, West Bengal, Uttar Pradesh and Tamilnadu.
In the urban areas, FEAR in tertiary sector has increased, from 37.6 % in 1983 to 52.9 % in 1999. (Economic Survey, 2002, GOI).
Here, women workers and employees get relatively better wages, standard working hours, and the protection of labour laws.
Women in the Informal Sector
Factors Affecting Women’s Labour Force Participation
• Changes in age-structure, urbanisation, level & nature of economic development, infrastructure, government policies, labour laws, nature of work, structure of family, culture & tradition affecting autonomy and control, fertility levels and childbearing practices, nature of housework,women’s property rights, education, age at marriage, migration, access to technology.
Segmentation in the labour market
• Nature of wage differentials (WD)-for identical tasks women are paid less. And women are confined to relatively inferior tasks, casual work.
• Causes of WD-patriarchal attitude, myths
• Effects of WD- subordination of women, son preference, man is treated as a “bread winner”- Head of the Household (HoH)
Affirmative Action to remove
Wage Differential
*Legislative measures
*Equal Remuneration Act
*Formation of women’s union
*Constitutional guarantees
*Job reservation for women
*Self Help Groups(SHGs)
Demands of the Women’s Groups
Labour Legislations
Special Facilities for Women
Women and Trade Unions(T.U.)
Women’s Action Plan for T.U.s
Role of Human Rights Organisations
Women and Development Debate
Development Alternatives With Women
Human Development With Distributive Justice
Implications of Development Process on Women
Use of conservative ideology to retrench and lay off women
Women’s Challenges to the T.U.s
Role of the UN System-ILO, UNICEF
Changing Livelihood Strategies Changing Labour Market ProspectsKeshab Giri
The lecture discussed changing livelihood strategies and labor market prospects from a gender perspective. It defined key terms like livelihood strategies and explored how they are dynamic and shaped by factors like policies, institutions, and access to resources. The lecture then examined how livelihoods are vulnerable to sudden changes and trends. It discussed how changes in livelihoods impact women disproportionately. The lecture also analyzed gender roles in livelihood strategies and sustainable development. Finally, it explored shifting labor market trends like globalization and women's participation being characterized by unpaid work, lower wages, and sectoral segregation. The reasons for fewer women in the workforce were summarized from structural, socio-cultural and feminist perspectives.
Gender Division of Labour and New Skills in South AsiaKeshab Giri
This document summarizes a lecture on gender and the knowledge economy in South Asia. The lecture discusses how the knowledge economy relies on populations with strong STEM skills, but that gender gaps exist in these fields despite more equal opportunities. New skills like communication, leadership, and lifelong learning are important for employment but women face disadvantages developing these skills. The lecture also overviewed different approaches to skills development in South Asia, including strengthening technical vocational education and training systems, fostering knowledge intensity through workforce training, and developing local skills ecosystems. Student-led discussion topics focused on positive discrimination, constraints on women in formal labor markets, and gender gaps in the knowledge economy representing missed opportunities.
Women’s labour is a rich and valuable resource for a country as it can significantly boost growth prospects and improve socio-economic conditions as also ensure better outcomes for the next generation. Therefore, enhancing women participation in the labour force is a critical endeavour for driving overall social and sustainable development.
Despite positive growth and development parameters in the last 20-25 years, India has experienced a continuous decline in its female labour force participation rate (FLFPR). The total FLFPR declined sharply from 42.7% in 2004-05 to 31.2% in 2011-12 which further declined to 27.4% in 2015-2016. In 2013, International Labour Organization (ILO) ranked India’s FLFPR at 121 out of 130 countries, one of the lowest in the world. India also secured a poor rank in the Global Gender Gap Report 2017 by World Economic Forum, where it was ranked 108 out of 144 economies.
The largest drop in FLFPR took place in rural areas and was specifically prominent in the working age group of 20-44 years. This is a major factor that is responsible for pulling down the overall FLFPR. On the other hand, the urban FLFPR which has been historically lower than the rural FLFPR, has fluctuated.
Women's Labor Force Participation in PakistanTania Saleem
Women's labor force participation in Pakistan is the lowest in South Asia, at around 19% compared to 35-50% elsewhere in the region. This is due to numerous cultural, social, and economic barriers that limit women's employment opportunities and mobility. Traditional gender norms that confine women to domestic duties, lack of childcare support, sexual harassment, and religious misconceptions that prohibit women from working are some of the key factors responsible for the low participation rate. Policymakers need to address these issues and promote inclusive policies to encourage greater female participation in the workforce, which is essential for Pakistan's development.
Off-farm employment in rural areas can be a major contributor to rural poverty reduction and decent rural employment. While women are highly active in the agricultural sector, they are less active than men in off-farm employment. This study analyzes the determinants of participation in off-farm employment of women in rural Uganda. The study is based on a field survey conducted in nine districts with the sample size of 1200 individual females. A two-stage Hechman’s sample selection model was applied to capture women’s decision to participate and the level of participation in non-farm economic activities. Summary statistics of the survey data from rural Uganda shows that: i) poverty and non-farm employment has a strong correlation, implying the importance of non-farm employment as a means for poverty reduction; and ii) there is a large gender gap to access non-farm employment, but the gender gap has been significantly reduced from group of older age to younger generation. The econometric results finds that the following factors have a significant influence on women’s participation in off-farm employment: education level of both the individual and household head (positive in both stages); women’s age (negative in both stages); female-headed household (negative in first stage); household head of polygamous marriage (negative in both stages); distance from major town (negative in the first stage); household size (positive in the second stage); dependency ratio (negative in the second stage); access to and use of government extension services (positive in the first stage); access to and use of an agricultural loan (negative in the second stage); and various district dummies variables. The implications of these findings suggest that those policies aimed at enhancing the identified determinants of women off-farm employment can promote income-generating opportunities for women groups in comparable contexts. In order to capitalize on these positive linkages, policies should be designed to improve skills and knowledge by providing education opportunities and increasing access to employment training, assistance services and loans for non-farm activities and by targeting women in female-headed, large and distant households. The government should increase investments in public infrastructure and services, such as roads, telecommunications and emergency support.
1. The document examines macroeconomic implications of gender gaps in labor force participation.
2. Female labor force participation rates remain low globally at 50% on average, with significant cross-regional differences.
3. Closing gender gaps in labor markets could boost GDP substantially in many countries by enabling women to develop their full economic potential.
This document summarizes a lecture on gender and the economy. The key points are:
1) The status of women in a country is fundamentally linked to that country's prosperity and security, yet women's contributions are often overlooked.
2) Gender equality is essential for smart economic growth, as evidenced by statistics showing its impact on GDP, poverty reduction, education outcomes, and more.
3) While Nepal has made progress toward gender equality through women's participation in government and improvements in legal protections, full gender equality remains a long-term project critical to ensuring national prosperity and security.
What are the labour laws for Empowerment of women ?
Ans. 2. The labour laws for empowerment of women are based on principle of gender justice. They are as follows:
Equal Remuneration Act, 1976 ensures equal opportunity, equal treatment and equal wages.
Maternity Benefit Act, 1961 provides 90 days paid leave for working women
The Factories Act, 1948 – Section 34 provides that the State government can lay down rules prescribing weights that may be carried by men and women.
The Contract Labour (Abolition and Regulation) Act and Rules- separate provision of utilities for women and fixed working hours.
Women in the unorganized sector don’t get benefits of the labour laws.
Abstract: This paper explores the socio-economic situation of women in Lesotho. Based on secondary data obtained from Bureau of Statistics, Land Administration Authority, country analytical annual reports ministerial reports as well as Lesotho government website; it analyzes the status of Basotho women with regard to access and control over economic opportunities. Main indicators discussed include access and control of resources like in education and land ownership, participation in decision making e.g. political participation. The issue of women and discriminatory laws is also addressed. This study is restricted to the relevant and available data and information on access on August 2015. The statistical data in this paper suggest that female is a dominating gender as far as land ownership is concerned. With regard to economic decision making and political participation, there is gender imbalance with men as a dominating gender. Women have been victims of discriminatory laws which denied them opportunity to own or inherit land and immovable property and hold senior positions in companies. These laws were later amended although gaps still exists. The finding shows that Lesotho has relatively high literacy and net primary school enrolment, but with a reversed gender gap signifying discrepancy to the advantage of girls. Gender related policies should be formulated and implemented so as to increase women’s representation and inclusiveness in political participation and economic decision-making. Given the responsibilities of women, improvement of women’s socio economic status in all sectors will not only be of essence to women alone, but also families and communities as well. This will also enhance women empowerment and contribute to inclusive sustainable economic growth, reduce poverty and social injustices and other forms of inequalities.Measures need to be developed to improve access to education for boys so as to ensure a balanced human development outcome. Amendments on Laws of Lerotholi should be a well understood public knowledge.
The document discusses gender inequality and its impact on economies over time. It notes that in 1968, Romania instituted policies prohibiting contraceptives and abortion and promoting large families. This led to overpopulation without sufficient jobs or resources. By 1989, there were millions of children in orphanages and high poverty rates. In contrast, by 2011, countries that allowed birth control had lower unemployment rates, more land and resources per person, and stronger economies compared to Romania in 1968 prior to instituting birth control policies. The document argues that guaranteeing reproductive rights and gender equality leads to stronger and more productive economies.
Women constitute ½ of the world’s population, 2/3 of the world’s labour force but get 1/10th of the world’s income and 1% of the world’s Wealth.
As per 2001 Census, 23% of women are in the work force. 94% of all working women are in the informal sector.
My contact address
Dr Shahnaj Parveen
Professor
Department of Agricultural Extension Education
Bangladesh Agricultural University (BAU)
Mymensingh-2202
Bangladesh
Mobile: ++88-01715 340215
Email: shahnaj1969@gmail.com
Economics Of Gender Equity And Development.kollasravanthi
Women make significant economic contributions in India. They account for 32% of the workforce and contribute 41% to agriculture GDP. A study estimated women's contribution to India's GDP in 2004-05 was 20.52% or Rs. 562,162 crores, with 39% from agriculture. While women's employment and GDP growth rates are higher than men's in some sectors like agriculture, their economic role remains undervalued as most work is in the unorganized and domestic spheres without robust valuation methods. Gender inequality persists in India, though gender gaps in areas like education and health have been closing. Further promoting women's empowerment and equality is important for India's continued economic growth and development.
Abstract: Discouraged Youth’ is defined as those youth who are not working even though they have expressed a desire to work, but due to the fact that they felt that undertaking a job search would be a futile effort, have not continued with the effort to seek a job . The magnitude of this crisis is a cause for concern for Mauritius; hence this study was conducted with the objective of creating a deeper understanding of discouraged youth. Primary data is used for this study, and the survey covers a sample of 500 unemployed youth across the island. The probit regression model is used to analyse the determinants affecting discouraged youth. The findings of the study found that age, age2, marital status, gender and tertiary education, area of study based on friend’s opinion, length of unemployment less than 12 months and prior experience have an impact on discouraged youth. From the analysis it was noted that education and training systems should be revisited to bridge the skills gap.
Keywords: Labour Force, Unemployment, Discouraged Youth, Probit Regression Analysis, Mauritius.
Globalisation & its impact on women workforceShingla Prabha
This document discusses the impact of globalization on women in India. It notes that while globalization has opened up some economic opportunities for women, it has also negatively impacted women and increased their vulnerabilities in several ways. Women represent a large portion of unpaid and informal workers. They face greater risks of poverty and make lower wages than men. Despite making up over half the workforce, women have less economic and social rights and autonomy. Overall, while some women have benefited from new opportunities, globalization has tended to exacerbate existing inequalities facing women in India.
Women make up half the world's population but receive only 10% of world income and 1% of wealth. They constitute the majority of the agricultural and informal workforce but represent only 14% of organized sector employment. Women face disproportionate burdens and responsibilities at home in addition to their work outside, and cultural attitudes reinforce gender inequalities and discrimination against women in the workplace.
Globalization of production and women in asiaBurnee Bok
Dr. Dong-Sook Gills discusses the impact of globalization on women in Asia. She argues that while globalization has led to an increase in women's participation in the workforce, particularly in export manufacturing, it has also resulted in the exploitation and marginalization of women. Women make up the majority of workers in export processing zones, where they face low wages, long hours, and poor working conditions. However, globalization has also given rise to new social movements and forms of solidarity that resist the negative impacts on women and fight for more democratic and inclusive alternatives to neoliberal globalization.
The document discusses challenges to gender equality and the work still needed to address inequality. It summarizes the experiences of Lucia, a girl in Guatemala, and Rani, a woman in India, who both face constraints on their aspirations and opportunities due to social and economic factors. It also outlines the persistence of gender inequality globally and in the MENA region, embedded in institutions across society, and exacerbated by issues like climate change, rising inequality, and other challenges ahead if transformation is to occur.
Globalization has led to the increased exploitation of women as a traded commodity in the global labor force. Women now make up large portions of industrial factory workers in places like Mexico and Southern Asia, where they face low wages, long hours, lack of benefits, health issues, and no job security. Human trafficking is a huge global industry, generating $32 billion annually by trading an estimated 20.9 million people in forced labor situations, including 2-4 million women and girls in sex trafficking. Poor labor conditions and immigration policies help fuel human trafficking by creating circumstances of unemployment, deception, debt bondage, and dangerous human smuggling. Women recruited for unskilled labor face discrimination in the forms of sexism, racism, and class
The document discusses gender differences in time use and labor force participation within households. It assumes that men and women would have identical preferences and make equal choices if facing the same constraints. However, women's participation in the workforce is lower due to a bias in the division of labor where women take on a disproportionate amount of unpaid domestic work. While married women work as many total hours as men when domestic work is counted, domestic work and childcare responsibilities prevent many from engaging in paid work. The document argues that more flexible work arrangements are needed to accommodate women's domestic duties and allow greater workforce participation.
Women i the economy of maharashtra 12 3-04 b & wVIBHUTI PATEL
Women in the Economy of Maharashtra
By
Vibhuti Patel
Introduction
Maharashtra ranks the 4th in Human Development Index. Female economic activity rate of 35.97 % for Maharashtra is higher than the national average of 29%. Maharashtra has an outstanding record of establishing Women Development Corporation, way back in 1975. The state has 12 all women panchayats. Women constitute 11.60 % of membership in the cooperatives. In the rural Maharashtra, the work participation rate of women is 46.5 % out of which 89 % in the agrarian sector. Among the total agrarian workforce, 41 % constitutes cultivators and 48% constitutes agricultural labourers. In the Urban Maharashtra, the female work participation rate (Main Workers who get employment for 8 hours per day for 183 days in a year) is only 13 %. Out of total urban female work force 1 % is in the highly skilled jobs, 9.2 % is in the house-hold industry, 45.3 % is self- employed, 33.3 % is in the regular employment and 21.4 % is casual labour.
Women in the Work Force
Women’s studies scholars have argued that increase in work participation of women in rural Maharashtra is a sign of distress, an index of unequal terms and limited options, not prosperity. Feminisation of labour in the contemporary Maharashtra signifies feminisation of poverty. The question, often asked is- Are women working themselves to death to keep the home fire burning? The allocation of funds for women in the state budget is less than 1 % of the total. Gender audit of the state budget reveals that the amount allocated for promotive measures such as economic services is much less. The budgetary allocation is for protective measures, for distressed women.
Occupational Diversification of women is taking place in the economy of Maharashtra. Educated women are getting jobs in the information technology; soft wear industry, call centres and other tertiary sector occupations.
Withdrawal of state from the social sector manifested in decrease in budgetary allocation for PDS and public health has increased invisible work of housewives and poor women.
There is high rate of unemployment among urban women. Decline of textile industry and closure of small-scale industries have affected women workers adversely. The highest percentage of female work force is of women agricultural labourers who don’t own assets, get seasonal/ casual employment and get less paid. Equal Remuneration Act, 1976 is the most flouted law in the state. In agriculture, women get 60-70 % of male wages. In the public works programmes, women get Rs. 26. 85 per day while men get Rs. 49.38 per day.
The document discusses women's unpaid household work and its invisibility in economic terms. It notes that while women constitute half the world's population and two-thirds of the workforce, they receive only 10% of world income and 1% of wealth. It argues that women's household activities like childcare, cooking and cleaning should be considered work but are not recognized or remunerated. The invisibility of this work is due to economic definitions that only consider activities done in exchange for pay as "work". The document examines feminist perspectives on recognizing and valuing women's unpaid labor in the home.
Family farming is a predominant form of agriculture both in developed and developing countries, with over 500 million productive units in the entire world, according to the Food and Agriculture Organization of the United Nations (FAO). FAO is promoting 2014 as the international year of family farming. This particular form of agriculture work refers to farms that are managed by family members and are usually small or medium in size and productivity. Information and Communication Technologies (ICTs) are playing a key role in this scenario. New generations, mainly, are in permanent movement, conceiving the two spaces as complementary. Mobile phones, particularly, are providing today a great platform to connect them to the "rurbanity," a new (key) concept to understand hybrid spaces where cities and the countryside are part of the same social reality.
Pragmatic approaches to sustainable development through rural women empowerme...Alexander Decker
Rural women in Bangladesh face many obstacles to empowerment, including lack of access to education, early marriage, family restrictions, and economic hardship. Microcredit programs, participation in agriculture and poultry raising, and access to information and communication technologies can help empower rural women by increasing their involvement in economic activities and decision making. Future directions to further empower rural women include expanding microenterprises, providing skills training, strengthening women's leadership roles, and supporting family gardens and women's cooperatives.
This document provides an overview of a doctoral seminar on "Gender Mainstreaming in Agriculture: Issues, Problems and Prospects". It includes an introduction to key concepts like gender, gender mainstreaming, and objectives. It discusses why mainstreaming gender in agriculture is important by addressing links to poverty and basic human rights. It also outlines the methodology, including a case study, and structure of the seminar covering introductions, literature reviews, research methodology, outcomes and conclusions.
Gender equality matters for economic development and growth: Lessons for MENAEconomic Research Forum
This document discusses how promoting gender equality is important for economic development and growth, particularly in the Middle East and North Africa region. It makes several key points: 1) Gender equality is multidimensional and includes factors like education, health, resources, and empowerment. 2) Gender inequality negatively impacts economies by reducing women's bargaining power and human capital development. 3) While gender inequality can initially stimulate export-led growth, it ultimately hinders long-term productivity and growth. Promoting women's employment, education, and empowerment would significantly boost economic outcomes in the MENA region.
Economic determinants and female labour force participation an empirical anal...Alexander Decker
This document analyzes the economic determinants of female labor force participation in Pakistan from 1980-2010. It finds that favorable economic policies encourage greater female participation in the labor market in both the long and short-run. Specifically, increases in real GDP per capita, private investment, trade openness, and foreign direct investment are linked to higher rates of female labor force participation. The study suggests the government promote female employment opportunities in the formal sector and informal cottage industries to further encourage their economic contributions.
This document examines China's development experience through the lens of Lewis's growth model. It first reviews the key predictions of Lewis's model, including that the modern sector wage curve should remain flat for a long period before rising. It then discusses challenges in applying the model to China due to its unique institutional characteristics. The paper presents empirical analysis of wage data from different sectors and regions in China, finding overall support for Lewis's predictions, though more research is needed to draw firmer conclusions.
This document summarizes a lecture on gender and the economy. The key points are:
1) The status of women in a country is fundamentally linked to that country's prosperity and security, yet women's contributions are often overlooked.
2) Gender equality is essential for smart economic growth, as evidenced by statistics showing its impact on GDP, poverty reduction, education outcomes, and more.
3) While Nepal has made progress toward gender equality through women's participation in government and improvements in legal protections, full gender equality remains a long-term project critical to ensuring national prosperity and security.
What are the labour laws for Empowerment of women ?
Ans. 2. The labour laws for empowerment of women are based on principle of gender justice. They are as follows:
Equal Remuneration Act, 1976 ensures equal opportunity, equal treatment and equal wages.
Maternity Benefit Act, 1961 provides 90 days paid leave for working women
The Factories Act, 1948 – Section 34 provides that the State government can lay down rules prescribing weights that may be carried by men and women.
The Contract Labour (Abolition and Regulation) Act and Rules- separate provision of utilities for women and fixed working hours.
Women in the unorganized sector don’t get benefits of the labour laws.
Abstract: This paper explores the socio-economic situation of women in Lesotho. Based on secondary data obtained from Bureau of Statistics, Land Administration Authority, country analytical annual reports ministerial reports as well as Lesotho government website; it analyzes the status of Basotho women with regard to access and control over economic opportunities. Main indicators discussed include access and control of resources like in education and land ownership, participation in decision making e.g. political participation. The issue of women and discriminatory laws is also addressed. This study is restricted to the relevant and available data and information on access on August 2015. The statistical data in this paper suggest that female is a dominating gender as far as land ownership is concerned. With regard to economic decision making and political participation, there is gender imbalance with men as a dominating gender. Women have been victims of discriminatory laws which denied them opportunity to own or inherit land and immovable property and hold senior positions in companies. These laws were later amended although gaps still exists. The finding shows that Lesotho has relatively high literacy and net primary school enrolment, but with a reversed gender gap signifying discrepancy to the advantage of girls. Gender related policies should be formulated and implemented so as to increase women’s representation and inclusiveness in political participation and economic decision-making. Given the responsibilities of women, improvement of women’s socio economic status in all sectors will not only be of essence to women alone, but also families and communities as well. This will also enhance women empowerment and contribute to inclusive sustainable economic growth, reduce poverty and social injustices and other forms of inequalities.Measures need to be developed to improve access to education for boys so as to ensure a balanced human development outcome. Amendments on Laws of Lerotholi should be a well understood public knowledge.
The document discusses gender inequality and its impact on economies over time. It notes that in 1968, Romania instituted policies prohibiting contraceptives and abortion and promoting large families. This led to overpopulation without sufficient jobs or resources. By 1989, there were millions of children in orphanages and high poverty rates. In contrast, by 2011, countries that allowed birth control had lower unemployment rates, more land and resources per person, and stronger economies compared to Romania in 1968 prior to instituting birth control policies. The document argues that guaranteeing reproductive rights and gender equality leads to stronger and more productive economies.
Women constitute ½ of the world’s population, 2/3 of the world’s labour force but get 1/10th of the world’s income and 1% of the world’s Wealth.
As per 2001 Census, 23% of women are in the work force. 94% of all working women are in the informal sector.
My contact address
Dr Shahnaj Parveen
Professor
Department of Agricultural Extension Education
Bangladesh Agricultural University (BAU)
Mymensingh-2202
Bangladesh
Mobile: ++88-01715 340215
Email: shahnaj1969@gmail.com
Economics Of Gender Equity And Development.kollasravanthi
Women make significant economic contributions in India. They account for 32% of the workforce and contribute 41% to agriculture GDP. A study estimated women's contribution to India's GDP in 2004-05 was 20.52% or Rs. 562,162 crores, with 39% from agriculture. While women's employment and GDP growth rates are higher than men's in some sectors like agriculture, their economic role remains undervalued as most work is in the unorganized and domestic spheres without robust valuation methods. Gender inequality persists in India, though gender gaps in areas like education and health have been closing. Further promoting women's empowerment and equality is important for India's continued economic growth and development.
Abstract: Discouraged Youth’ is defined as those youth who are not working even though they have expressed a desire to work, but due to the fact that they felt that undertaking a job search would be a futile effort, have not continued with the effort to seek a job . The magnitude of this crisis is a cause for concern for Mauritius; hence this study was conducted with the objective of creating a deeper understanding of discouraged youth. Primary data is used for this study, and the survey covers a sample of 500 unemployed youth across the island. The probit regression model is used to analyse the determinants affecting discouraged youth. The findings of the study found that age, age2, marital status, gender and tertiary education, area of study based on friend’s opinion, length of unemployment less than 12 months and prior experience have an impact on discouraged youth. From the analysis it was noted that education and training systems should be revisited to bridge the skills gap.
Keywords: Labour Force, Unemployment, Discouraged Youth, Probit Regression Analysis, Mauritius.
Globalisation & its impact on women workforceShingla Prabha
This document discusses the impact of globalization on women in India. It notes that while globalization has opened up some economic opportunities for women, it has also negatively impacted women and increased their vulnerabilities in several ways. Women represent a large portion of unpaid and informal workers. They face greater risks of poverty and make lower wages than men. Despite making up over half the workforce, women have less economic and social rights and autonomy. Overall, while some women have benefited from new opportunities, globalization has tended to exacerbate existing inequalities facing women in India.
Women make up half the world's population but receive only 10% of world income and 1% of wealth. They constitute the majority of the agricultural and informal workforce but represent only 14% of organized sector employment. Women face disproportionate burdens and responsibilities at home in addition to their work outside, and cultural attitudes reinforce gender inequalities and discrimination against women in the workplace.
Globalization of production and women in asiaBurnee Bok
Dr. Dong-Sook Gills discusses the impact of globalization on women in Asia. She argues that while globalization has led to an increase in women's participation in the workforce, particularly in export manufacturing, it has also resulted in the exploitation and marginalization of women. Women make up the majority of workers in export processing zones, where they face low wages, long hours, and poor working conditions. However, globalization has also given rise to new social movements and forms of solidarity that resist the negative impacts on women and fight for more democratic and inclusive alternatives to neoliberal globalization.
The document discusses challenges to gender equality and the work still needed to address inequality. It summarizes the experiences of Lucia, a girl in Guatemala, and Rani, a woman in India, who both face constraints on their aspirations and opportunities due to social and economic factors. It also outlines the persistence of gender inequality globally and in the MENA region, embedded in institutions across society, and exacerbated by issues like climate change, rising inequality, and other challenges ahead if transformation is to occur.
Globalization has led to the increased exploitation of women as a traded commodity in the global labor force. Women now make up large portions of industrial factory workers in places like Mexico and Southern Asia, where they face low wages, long hours, lack of benefits, health issues, and no job security. Human trafficking is a huge global industry, generating $32 billion annually by trading an estimated 20.9 million people in forced labor situations, including 2-4 million women and girls in sex trafficking. Poor labor conditions and immigration policies help fuel human trafficking by creating circumstances of unemployment, deception, debt bondage, and dangerous human smuggling. Women recruited for unskilled labor face discrimination in the forms of sexism, racism, and class
The document discusses gender differences in time use and labor force participation within households. It assumes that men and women would have identical preferences and make equal choices if facing the same constraints. However, women's participation in the workforce is lower due to a bias in the division of labor where women take on a disproportionate amount of unpaid domestic work. While married women work as many total hours as men when domestic work is counted, domestic work and childcare responsibilities prevent many from engaging in paid work. The document argues that more flexible work arrangements are needed to accommodate women's domestic duties and allow greater workforce participation.
Women i the economy of maharashtra 12 3-04 b & wVIBHUTI PATEL
Women in the Economy of Maharashtra
By
Vibhuti Patel
Introduction
Maharashtra ranks the 4th in Human Development Index. Female economic activity rate of 35.97 % for Maharashtra is higher than the national average of 29%. Maharashtra has an outstanding record of establishing Women Development Corporation, way back in 1975. The state has 12 all women panchayats. Women constitute 11.60 % of membership in the cooperatives. In the rural Maharashtra, the work participation rate of women is 46.5 % out of which 89 % in the agrarian sector. Among the total agrarian workforce, 41 % constitutes cultivators and 48% constitutes agricultural labourers. In the Urban Maharashtra, the female work participation rate (Main Workers who get employment for 8 hours per day for 183 days in a year) is only 13 %. Out of total urban female work force 1 % is in the highly skilled jobs, 9.2 % is in the house-hold industry, 45.3 % is self- employed, 33.3 % is in the regular employment and 21.4 % is casual labour.
Women in the Work Force
Women’s studies scholars have argued that increase in work participation of women in rural Maharashtra is a sign of distress, an index of unequal terms and limited options, not prosperity. Feminisation of labour in the contemporary Maharashtra signifies feminisation of poverty. The question, often asked is- Are women working themselves to death to keep the home fire burning? The allocation of funds for women in the state budget is less than 1 % of the total. Gender audit of the state budget reveals that the amount allocated for promotive measures such as economic services is much less. The budgetary allocation is for protective measures, for distressed women.
Occupational Diversification of women is taking place in the economy of Maharashtra. Educated women are getting jobs in the information technology; soft wear industry, call centres and other tertiary sector occupations.
Withdrawal of state from the social sector manifested in decrease in budgetary allocation for PDS and public health has increased invisible work of housewives and poor women.
There is high rate of unemployment among urban women. Decline of textile industry and closure of small-scale industries have affected women workers adversely. The highest percentage of female work force is of women agricultural labourers who don’t own assets, get seasonal/ casual employment and get less paid. Equal Remuneration Act, 1976 is the most flouted law in the state. In agriculture, women get 60-70 % of male wages. In the public works programmes, women get Rs. 26. 85 per day while men get Rs. 49.38 per day.
The document discusses women's unpaid household work and its invisibility in economic terms. It notes that while women constitute half the world's population and two-thirds of the workforce, they receive only 10% of world income and 1% of wealth. It argues that women's household activities like childcare, cooking and cleaning should be considered work but are not recognized or remunerated. The invisibility of this work is due to economic definitions that only consider activities done in exchange for pay as "work". The document examines feminist perspectives on recognizing and valuing women's unpaid labor in the home.
Family farming is a predominant form of agriculture both in developed and developing countries, with over 500 million productive units in the entire world, according to the Food and Agriculture Organization of the United Nations (FAO). FAO is promoting 2014 as the international year of family farming. This particular form of agriculture work refers to farms that are managed by family members and are usually small or medium in size and productivity. Information and Communication Technologies (ICTs) are playing a key role in this scenario. New generations, mainly, are in permanent movement, conceiving the two spaces as complementary. Mobile phones, particularly, are providing today a great platform to connect them to the "rurbanity," a new (key) concept to understand hybrid spaces where cities and the countryside are part of the same social reality.
Pragmatic approaches to sustainable development through rural women empowerme...Alexander Decker
Rural women in Bangladesh face many obstacles to empowerment, including lack of access to education, early marriage, family restrictions, and economic hardship. Microcredit programs, participation in agriculture and poultry raising, and access to information and communication technologies can help empower rural women by increasing their involvement in economic activities and decision making. Future directions to further empower rural women include expanding microenterprises, providing skills training, strengthening women's leadership roles, and supporting family gardens and women's cooperatives.
This document provides an overview of a doctoral seminar on "Gender Mainstreaming in Agriculture: Issues, Problems and Prospects". It includes an introduction to key concepts like gender, gender mainstreaming, and objectives. It discusses why mainstreaming gender in agriculture is important by addressing links to poverty and basic human rights. It also outlines the methodology, including a case study, and structure of the seminar covering introductions, literature reviews, research methodology, outcomes and conclusions.
Gender equality matters for economic development and growth: Lessons for MENAEconomic Research Forum
This document discusses how promoting gender equality is important for economic development and growth, particularly in the Middle East and North Africa region. It makes several key points: 1) Gender equality is multidimensional and includes factors like education, health, resources, and empowerment. 2) Gender inequality negatively impacts economies by reducing women's bargaining power and human capital development. 3) While gender inequality can initially stimulate export-led growth, it ultimately hinders long-term productivity and growth. Promoting women's employment, education, and empowerment would significantly boost economic outcomes in the MENA region.
Economic determinants and female labour force participation an empirical anal...Alexander Decker
This document analyzes the economic determinants of female labor force participation in Pakistan from 1980-2010. It finds that favorable economic policies encourage greater female participation in the labor market in both the long and short-run. Specifically, increases in real GDP per capita, private investment, trade openness, and foreign direct investment are linked to higher rates of female labor force participation. The study suggests the government promote female employment opportunities in the formal sector and informal cottage industries to further encourage their economic contributions.
This document examines China's development experience through the lens of Lewis's growth model. It first reviews the key predictions of Lewis's model, including that the modern sector wage curve should remain flat for a long period before rising. It then discusses challenges in applying the model to China due to its unique institutional characteristics. The paper presents empirical analysis of wage data from different sectors and regions in China, finding overall support for Lewis's predictions, though more research is needed to draw firmer conclusions.
This document analyzes differences in fertility behavior between urban and rural areas in Slovenia. It finds that while urban-rural differences in fertility have declined since industrialization, urban populations still have fewer children on average than rural populations. Through an analysis of survey and census data in Slovenia over the past 150 years, the study examines how fertility decisions have varied between generations as rural and urban areas have developed differently. It aims to better understand the complex relationship between where people live and their fertility choices.
This document discusses gender and migration. It begins with defining gender and sex, and explaining how gender studies have evolved from initially only examining male migrants to also considering female migrants' experiences. It then explores concepts like intersectionality, geographical scales, social locations, and power geometries as frameworks for examining gender in migration. Specific topics covered include the feminization of migration in Asia, common female-dominated and male-dominated labor markets, issues like "de-skilling" and transnational parenting, and how gender relations shape immigration patterns and settlement experiences for both women and men. The conclusion emphasizes the importance of rights and examining policies in both sending and receiving countries to address gender inequality in migration.
Female labour has historically played an important role in India's workforce. While women were once treated equally to men, social changes led to women becoming dependent on men with fewer rights and opportunities. The spread of Western education helped women realize their subordinate status and improved their position over time. Today, women make up over half of the community and social services workforce but still face discrimination, safety issues while traveling, and health problems. Various labor acts aim to protect women's rights and prevent harassment and unsafe working conditions.
Organisational structure and job roles doneDom9533
This document discusses a BTec Level 3 Extended Diploma in Creative Media Production, focusing on Games Design. It specifically looks at Unit 13, which covers the organizational structure of the computer games industry. An example is given of Virtuous, an outsourcing game company that delivers services like programming, design, and quality assurance to larger game and movie companies in order to help those companies increase production while controlling costs.
Objectives and social responsibilities of business Avinash Gowda
The document discusses the objectives and social responsibilities of business. It outlines several economic, human, organizational, and social objectives of businesses, including earning profits for owners, adequately compensating employees, and satisfying customers. It also discusses arguments for and against businesses assuming social responsibilities beyond profit maximization. Pro arguments include responding to social demands, long-term self-interest, avoiding government intervention, and maintaining public image. Con arguments state that social responsibilities violate profit maximization, lead to less efficient resource use, burden consumers, and replace self-interest which is necessary for business efficiency.
The document discusses the gendered dimensions of Filipina migration for work. It notes that migration has become feminized in recent decades as more jobs have opened for women in domestic and care work. However, Filipina migrant workers still face risks like abuse and lack of legal protections. The document also examines how civil society and the Philippine government have constructed representations of Filipina migrants that focus on their roles as caregivers and as upholding family obligations through their financial contributions.
The document discusses factors that affect labour productivity in construction. It states that labour productivity is determined by many complex factors including project type and size, management difficulties on large sites, worker effort and skills, and disruptions. It also examines how training can improve productivity by upgrading worker knowledge, skills and attitudes, and how changes to projects can negatively impact productivity through rework and disruptions.
This document discusses the relationship between health and economic development. It begins with definitions of health and economic development from WHO and UN sources. It then examines factors that determine health and economic development according to WHO. Several studies are summarized that show the bidirectional relationship between improvements in health outcomes and economic growth. Preston's 1975 analysis found a curvilinear association between income and life expectancy. Barro's 1997 analysis projected that a 10% increase in life expectancy could lead to a 0.4% rise in economic growth. Bloom and Canning's 2000 study analyzed how better health impacts productivity, education, investment and demographics to stimulate economic development. The document concludes by considering whether healthier populations or greater wealth leads to improvements in the other.
Brain drain refers to the large-scale emigration of skilled professionals and knowledge workers from their home countries, often due to low salaries, lack of opportunities, employment, equipment, and political instability. While emigration provides opportunities to fulfill dreams and develop talents, it also results in a loss of skilled human capital and widens the gap between rich and poor countries. However, India has experienced a reversal in brain drain in recent decades due to strong economic growth, competitive salaries by Indian companies, and more promising career opportunities, leading more graduates to remain in India rather than emigrate.
This document provides an introduction to demography and key concepts used in public health. It defines demography as the study of human populations and outlines sources of vital statistics like censuses, vital registration systems, and sample surveys. Common indices of fertility, mortality, and population change are also defined and formulas are provided for calculating rates like the crude birth rate, total fertility rate, infant mortality rate, and maternal mortality rate. Limitations of vital statistics like inaccuracies and incompleteness of data are briefly discussed.
'Aesthetic Labour’ in the Emerging Labour market: A Case Study on Female Labo...Migrating out of Poverty
Presentation given at Gendered dimensions of migration: Material and social outcomes of South-South migration. 30 June - 2 July 2015 at the Asia Research Institute, National University of Singapore http://migratingoutofpoverty.dfid.gov.uk/research/womenandchildren/gendered_dimensions
Non-communicable diseases such as cancer, cardiovascular disease, and diabetes account for over 60% of deaths worldwide. Major risk factors like high blood pressure, high cholesterol, and smoking have large effects on mortality. While rates of non-communicable diseases are highest in developed nations, they are increasing in low- and middle-income countries due to urbanization and changes in lifestyle. Controlling risk factors through public health interventions could significantly reduce the growing global burden of these diseases.
Brain drain refers to the emigration of skilled professionals and highly educated individuals from their home country to opportunities abroad. It can occur when students educated abroad do not return home or when educated locals emigrate for better pay or opportunities. While it poses problems for developing countries that invest in education, it can also represent a brain gain for destination countries. Globalization has increased mobility such that skills are transferable worldwide, influencing more individuals' decisions to emigrate long-term. Some argue brain drain can be addressed by improving research support and independence in home countries to attract expatriates to return.
The document summarizes women's experiences in early factories and the workforce throughout American history. In early factories in the 1800s, women faced long 12-16 hour work days in cramped and unsafe conditions, with many restrictions and no bathroom breaks. Disease and accidents were common, with many workers dying from exhaustion, equipment, or illness. By the early 20th century, middle class married women were expected to stay home and focus on domestic duties. More women entered the paid workforce in the late 19th/early 20th century in fields like factories, teaching, nursing and clerical work. By the 1970s, more women attended college and began entering male-dominated fields. A timeline shows the wage gap, with women earning
This document summarizes a presentation on brain drain in Nepal. It defines brain drain as the emigration of trained professionals to other countries for better opportunities. Some key facts presented include that 1,200 Nepalis leave the country daily to study or work abroad and 982,000 emigrated in 2010, comprising 3.3% of Nepal's population. Causes of brain drain from Nepal include lack of opportunities, low salaries, desire for higher education, and pull factors in other countries like job opportunities and better facilities. The brain drain negatively impacts Nepal's development, economy, and workforce. Recommendations to address brain drain include increasing salaries, educational opportunities, and prohibiting nepotism.
This document examines social security programs for India's unorganized workforce. It defines social security and discusses categories of unorganized labor. Currently, social security programs are limited and do not provide adequate income maintenance. The document calls for policy changes like establishing a Ministry of Social Security and involving NGOs to better implement social security policies and guarantee protection for unorganized workers. With modifications, social security in India could ensure protection for vulnerable groups across their lifetimes.
Human capital: Education and health in economic development egpShivani Baghel
A brief study on the economic development of health and education in India in the present scenario.
It talks about joint investment in both the sectors considering their rate of return, while dealing with questions like why increasing income is not sufficient? It also briefs about child labor and gender gap.
The document discusses key concepts related to a country's labor force and unemployment. It defines the labor force as those between 16-65 who are able and willing to work. Employment provides income and benefits well-being, while unemployment reduces standards of living and increases social burdens. Unemployment can be addressed by job creation incentives, training programs, and investing in labor-intensive industries. Different types of unemployment include seasonal, structural, technical, and frictional varieties.
DOES GENDER MAKES ANY DIFFERENCE IN LIVELIHOODS LIVELIHOOD DIVERSIFICATIONHudu Zakaria
This document analyzes gender differences in livelihood diversification in Northern Ghana based on a population survey. The analysis found that livelihood diversification is common for both men and women, but men engage in a greater number of livelihood activities on average compared to women. Specifically, significantly more men than women reported paid wage labor activities in the past 12 months, while women dominated non-farm self-employed enterprises. The document recommends measures to economically empower women, such as training and financing, in order to help women improve their non-farm livelihood opportunities.
This document discusses a study that aimed to assess the determinants of poverty in Mkinga District, Tanzania. The study found that nearly 93% of respondents in the area were poor. Using an ordinal regression model and data from 210 households, the study identified several factors associated with poverty in the area, including gender (with women more affected), smaller land size, smaller farm size, larger household size, and higher dependency ratio. The study recommends empowering people, especially women, to participate in economic activities using local resources to alleviate poverty in the district.
Agriculture is one of the major sectors of Bangladesh. Involvement of both men and women are significant here. But the role of women remain unrecognized. Here ,the role of women has depicted.
Harnessing the potentials of informal sector women for development in ghanaDr Lendy Spires
This study examines the role of women in Ghana's informal sector and argues for increased support. It finds that women dominate the major economic sectors like agriculture, services, and industry, but their contributions are often overlooked, hindering economic growth. The informal sector provides most employment in developing countries like Ghana, yet productivity is low due to lack of support. The study aims to understand women's roles and challenges in rural informal work and identify ways to better support the sector and promote long-term development.
This document summarizes a study on rural livelihood structure and poverty in Mkinga District, Tanzania. The study found that gender of household head, marital status, access to finance, dependency ratio, and household size were significantly associated with poverty. Specifically, households headed by females or with more dependents and larger household sizes were more likely to be in poverty. The study also found that access to financial services could help households diversify their incomes and reduce risk of being in poverty. Overall, the study suggests rural livelihoods should not be viewed solely as dependent on agriculture and land access, but require a range of resources to improve living standards and reduce poverty in rural areas.
This document summarizes a study on a microfinance program in rural Uganda called Bukonzo Joint Cooperative Microfinance Ltd (BJCMF) that provides integrated services of rural finance, value chain support, and gender capacity building. The program aims to promote women's empowerment and gender equality. It finds that the program is registering dramatic changes in gender equality, like increased women's control of resources and shared household responsibilities. However, to achieve community-wide women's empowerment and gender equality, more integrated efforts are needed in markets and institutions that reinforce gender inequality. The document provides details on the program approaches, services, products, and positive outcomes observed, within the cultural context of serious gender inequality in the study area.
WOMEN AND AGRICULTURE IN RURAL KENYA: ROLE IN AGRICULTURAL PRODUCTIONJohn1Lorcan
Women play a very significant role in agricultural production in Kenya. However, they are accorded little
attention. The lack of inadequate information on the level of women participation in agricultural
production has helped to underestimate their importance in agricultural production and hence led to their
neglect in sector development. This paper sought to examine the role of women in Agricultural production
in Kenya to give them an impetus upon which they can voice their concern in agricultural related issues. To
improve women visibility in agricultural production, the author suggests that women contribution to
agricultural production should be understood based on their contribution to food security in household and
community rather than their contribution to commercialised agriculture which is dominated by men. With
this, the author hopes to persuade policymakers to re-examine their perception of rural women involved in
agricultural production for prompt policy action.
This document analyzes government programs in Nigeria and Ghana aimed at reducing unemployment through entrepreneurship. It finds that while the goals of the programs in both countries are similar, there are differences in implementation. The programs have faced challenges such as inadequate funding, lack of training, and lack of support from governments, leading to failures in reducing unemployment. The paper recommends clearer policies led by a specialized ministry, including entrepreneurship in education, and long-term support for private sector job growth to better address unemployment.
The document discusses International Women's Day 2013 in Uganda and focuses on connecting grassroots women to development. It notes that grassroots women face challenges including limited access to resources, low education levels, gender-based violence, and responsibility for unpaid care work. However, it also outlines opportunities the government has created through policies, land rights reforms, education programs, and promoting women's participation in agriculture and savings cooperatives. It concludes with recommendations like prioritizing women's economic empowerment and health, preventing gender-based violence, increasing adult literacy, and leadership skills development.
The contribution of women to household food security in the kassena nankana ...Alexander Decker
This document summarizes a study on the contribution of women to household food security in the Kassena-Nankana East District of Ghana. It finds that the majority of women in the area are engaged in food crop farming to feed their households. However, women face various challenges including discrimination in decision making regarding land and credit. Socio-cultural factors like traditions that deprive widows of inherited property also negatively impact women's ability to contribute to food security. While women play a critical role in food production, more support is needed to address challenges and harness their potential to ensure adequate nutrition for families.
Education and women’s participation in Indian economy: A regional analysisMain Uddin
The paper examines the work participation rate (WPR) of women in Indian states based on the census
conducted in 2001. As per 2001 census, the WPR of women was 25.6% in India though they constituted
48.27% of the total population. It was well documented that the educational condition of women has
improved in the past few decades but their WPR is still low. Here, the paper tried to see reasons behind
this anomaly. There are many determinants of WPR but the author limit this paper to education. The
paper is based on the hypothesis of increasing women WPR with educational development. The
correlation matrix between occupational composition and educational development shows significant
relation. This implies that education is one of the reasons for increasing WPR. In addition, it was found
that women with primary education are actively engaged in agricultural sector. Finally, the paper
concludes with some general observations and suggestions.
This document is an outline for a research paper on women's access to productive resources in agriculture. It includes sections on introduction, literature review, research objectives, and methodology. The introduction defines productive resources and their importance in agriculture. The literature review summarizes several previous studies on women's roles in agriculture and constraints they face. The research objectives are to study women's socioeconomic backgrounds and access to resources like land, income, and decision making. The methodology describes plans to use quantitative methods like surveys with 150 rural women, and analyze the data using SPSS.
Women's accessibility to resources of agricultural productivity in borno stat...Alexander Decker
This document summarizes a study on women's access to agricultural resources in Borno State, Nigeria. The study found that women had the highest access to farm income, decision-making powers, farm land, and off-farm income, though access was still limited. Access to extension services, education, cooperatives, farm inputs, and credit was very limited. The study recommends that agricultural input distribution be made more gender sensitive to increase women's access to productive resources.
Participation of family women in agricultural production-a case study of jaff...Alexander Decker
- The document analyzes factors influencing family women's participation in agricultural production in Jaffna District, Sri Lanka.
- It finds that women play a significant role in Sri Lankan agriculture, performing tasks from land preparation to harvesting and livestock management. However, their contributions have been understudied.
- Using a probit model and survey data from 185 households, it determines that women's age, education level, years of experience, income level, access to extension services, land tenure rights, and level of agricultural contribution significantly impact their likelihood of participating in farm work. Younger, more educated, and experienced women with higher incomes and more secure land rights who receive extension services are more likely to participate.
KIT_WPS_2015-7_Pyburn et al._Gender and YouthIngrid Flink
The document discusses gender dynamics in agriculture and the need for inclusive agricultural value chains that engage women and youth. It notes that women currently make up a large percentage of farmers in developing countries but face significant inequalities, including less access to resources and lower wages than men. This limits food production and security. The document argues that harnessing the potential of excluded groups like women and youth through market-oriented and inclusive value chain approaches can help meet future global food needs while providing livelihoods.
The role of agriculture in the economic empowerment of women in the ejisu jua...Alexander Decker
This document summarizes a journal article about the role of agriculture in empowering women economically in the Ejisu Juaben Municipality in Ghana. The summary is as follows:
1) Agriculture is the main economic activity in the municipality and women play a central role in food production and distribution, however, women have limited access to resources like credit, extension services and land compared to men.
2) The study found that these limitations reduce women's ability to increase productivity and income, hindering their economic empowerment.
3) The study concludes there is a need to address challenges like land tenure systems and unequal access to productive resources in order to improve women's economic empowerment, household food security and national development
This document discusses the relationship between women's empowerment and economic development. It argues that empowering women can accelerate economic development in two ways: 1) Reducing poverty and inequality empowers women and improves economic outcomes for everyone, and 2) Continuing discrimination against women can hinder development. The document then reviews evidence showing how increasing women's income, education, and rights correlates with better child nutrition, health, and anthropometric outcomes. It also examines how women's empowerment relates to poverty reduction, labor force participation, and economic growth. The conclusion is that empowering women through education plays a major role in developing countries like India by reducing poverty and improving economic growth.
Multidisciplinary Journal Supported by TETFund. The journals would publish papers covering a wide range of subjects in journal science, management science, educational, agricultural, architectural, accounting and finance, business administration, entrepreneurship, business education, all journals
Similar to DETERMINANTS OF FEMALE LABOUR FORCE PARTICIPATION IN FAM AND NON FARM LIVELIHOOD ENTERPRISES (20)
Constraints to farmers willingness to pay for private irrigation deliveryHudu Zakaria
The study investigated the constraints to farmers’ intention to pay for private irrigation in Nandom District, Ghana. Using a key informant interviews and semi-structured questionnaires, the study collected data from 236 farmers. Data was analyzed with descriptive and inferential statistics. Kendall coefficient of concordance was used to determine the level of agreement among farmers in ranking of constraints. The study found financial constraint (low income) as the most important constraints to farmers’ readiness to pay for private irrigation. Other important constraints were lack of ready market for output, crop pest and diseases, unstable output price, costly private services, inadequate supply of complementary inputs and lack of credit services. We concluded that lack of ready market, unstable price for farm produce and lack of credit services jointly worsen farmer's finances and consequently constraint their ability to pay even under condition of perfect knowledge of the benefits that could accrue from the technology. This study recommends the implementation of the proposed private irrigation service but management of the service should incorporate an efficient value chain in the management of the service.
Factors influencing agricultural credit demand in northern ghanaHudu Zakaria
The greatest challenge to food security is low productivity emanating from slow growth in the agricultural sector and one of the reasons for this is little or no access to financial resources by producers. Credit is one of the empowerment tools that have the potential to boost the productivity, increase food security and change the life of farmers from a situation of abject poverty to a more dignified life in the long run. Using a household survey data from United State Agency for International Development's feed the future initiative; this study employed the logistic regression model to investigate the factors influencing households' demand for agricultural credit placing much emphasis on membership to organization. A total sample size of 2,330 farm households selected from Northern Ghana was used. The results of the logistic regression model revealed significant and positive variables such as age, education, group membership and source of credit. We therefore call on stakeholders to encourage formation of cooperative groups to enable farmers pull resources together or streamline loan application procedures, intensify education of farmers on loan procedures and promote flexibility in types of collateral demanded by financial institutions in order to enhance access.
Influence of Mothers’ Participation in Intra-Household Decision Making on Nut...Hudu Zakaria
The purpose of this paper is to investigate effects of mothers’ participation in intra-household decision making on the nutritional status of their children. The paper relied solely on analysis of data for Northern Region of Ghana, collected as part of United States Agency for International Development (USAID) Feed the Future population baseline survey conducted in 2012. Multiple Linear Regression Model was used in examining mothers’ participation in intra-household decision making on children’s weight-for-age, height-for-age and weight-for-height which were used as proxies for children’s nutritional status. Results of the analysis revealed that, the Region is still far from achieving the MDG 1 target of attaining 1.8% malnutrition prevalence rate, as stunting, underweight and wasting prevalence rates among children in the region were found to be 27%, 25% and 13% respectively. The analysis also found mothers’ participation in intra-household decision making, ownership and control of household resources as significant in influencing positively children’s nutritional status. Increasing participation and power of women in intra-household decision making process are imperative in improving children nutritional status and reducing malnutrition prevalence among children under five years. It is therefore recommended that programmes and projects aimed at promoting sustainable nutritional wellbeing among children should consider empowering mothers of children so as to promote their status and barging power in intra-household decision making process.
Influence of Socio-Economic Characteristics on the Utilization ofHudu Zakaria
This document summarizes a study that examined how socioeconomic factors influence the utilization of development interventions by shea butter processors in Northern Ghana. The study found that age, access to credit, source of start-up capital, and marital status were significantly associated with utilization of interventions provided by NGOs and government agencies to improve the shea butter industry. Despite numerous interventions, poverty remains high, possibly due to underutilization of support programs. The study calls for policies that better address socioeconomic backgrounds to increase utilization of interventions designed to boost the industry and livelihoods of rural women.
CONCEPT PAPER ON PARTICIPATORY VIDEO AND INNOVATION FOR SOCIAL CHANGE TO OMPT...Hudu Zakaria
This document discusses using participatory video as an extension tool for social change in rural communities in Ghana. It provides background on agricultural extension in Ghana, focusing on the Northern Savannah zone. Key points:
1. Participatory video is proposed as an effective extension tool that encourages farmer participation and adoption of new technologies. However, extension workers lack training and equipment to use such tools.
2. The University for Development Studies aims to test participatory video through an action research project using its social laboratory.
3. Agricultural extension in Ghana has shifted from commodity exports to food crops but faces challenges in reaching farmers due to resource and technical constraints of extension workers.
CONCEPT PAPER ON PARTICIPATORY VIDEO TO PASHudu Zakaria
This document proposes a collaboration between One Media Player Per Teacher (OMPT), an NGO, the University for Development Studies, and the Presbyterian Agricultural Station to conduct an action research project using participatory extension videos to improve rural farmers' access to agricultural information in Northern Ghana. The project aims to enhance extension agents' video skills, provide video equipment, and research the use of video in improving women farmers' adoption of soil fertility practices. It is proposed to train 20 agents, reach 10,000 farmers including 7,000 women, and produce videos on soil management to disseminate improved practices and productivity. The research seeks to develop best practices for using innovative video methods to serve marginalized groups like women farmers.
DETERMINANTS OF FEMALE LABOUR FORCE PARTICIPATION IN FAM AND NON FARM LIVELIHOOD ENTERPRISES
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A Peer Reviewed International Journal of Asian
Academic Research Associates
AARJSH
ASIAN ACADEMIC RESEARCH
J O U R N A L O F S O C I A L
S C I E N C E & H U M A N I T I E S
DETERMINANTS OF FEMALE LABOUR FORCE PARTICIPATION IN FARM
AND NON-FARM LIVELIHOOD ENTERPRISES: THE CASE OF FEMALE
LABOUR PARTICIPATION IN NORTHERN GHANA
HAMZA ADAM1
; HUDU ZAKARIA2
1
Department of Community Development, University for Development Studies, University
for Development Studies, Ghana
2
Department of Agricultural Extension, Rural Development and Gender Studies
University for Development Studies, Ghana
Abstract
The purpose of this paper is to examine determinants of female labour participation in on-
farm, and non-farm livelihood enterprises among women in north of Ghana. Data were
obtained from a Population baseline survey conducted by METSS as part of USAID „Feed
The Future Programme‟ in Northern Ghana Zone in 2012. The survey covered 4,410
households with over 24,000 persons. Individuals covered in this survey who were 15 years
or older were 13, 580 and they constitute the sample for this paper. The data were analysed
by the use of Chi-square and probit regression analysis. The results of the Chi-square analysis
established significant gender disparities in labour participation in food and cash crop
production, livestock production, non-farm self-employed enterprises and paid wage labour at
1% level of significance. Also the probit regression analysis identified the location of
respondents as either rural or urban, household status, marital status, literacy, participation in
household decision making on use of productive resources, income and control over
household resources as significant in determining female labour participation in both on-farm
and non-farm self-employed enterprises as well as wage labour. The paper recommends
empowerment of females through enhancing their access to formal education, improving their
access to household decision making on use of household income and control over productive
resource to facilitate their participation in both on-farm and non-farm enterprises as well as
wage labour.
Key Words: Participation, Female labour, on-farm, non-farm, self-employed, household
decision and resource access
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1.0 INTRODUCTION
Notwithstanding the fact that women make up a little over half the world‟s population and
constitute the greater proportion of the global labour force, their contribution to measured
economic activity, growth, and well-being is far below its potential (Elborgh-Woytek et al,
2013). International Monetary Fund (IMF) (2013) on „Women, Work, and the Economy‟,
argued that in spite of significant progress in recent decades, labour markets across the world
remains divided along gender, a situation which continues to inhibit the progress toward
achieving gender equality. Gender has been noted as a key determinant of access to
productive resources and provides basis for the division of labour within the household, the
social values attributed to different types of work, and bargaining power, making it a key
determinant of decent work outcomes (IFAD, 2000). The IFAD Rural Poverty Report 2001
also noted that, access to labour markets is important for improving the well-being of the
poor, especially women. Female Labour Participation (FLP) has remained lower than male
participation (Elborgh-Woytek et al, 2013. Women are usually engaged in most unpaid work,
and when they are employed in paid work, they tend to be overrepresented in the informal
sector (Blackden and Hallward-Driemeier 2013; Elborgah-Woytek et al, 2013). Gender gap
in labour force participation in paid work is attributable to women‟s lack of access to
productive resources, education and training (Sackey, 2005). This results in gender
differentials productivity (Do et al., 2011), which tends to hinder progress towards economic
empowerment of women and gender equity in development. A reduction of this productivity
gap through equal access to productive resources could yield considerable gains for rural
development as well as national economies (World Bank, 2011)
Female Labour Participation Rate (FLPR) over the past two decades has hovered around 50
percent (World Bank, 2011). Elborgah-Woytek et al. (2013) observed significant cross-
regional differences in levels and trends of FLPRs. The study observed that FLPRs vary from
as low as 21 percent in the Middle East and North Africa to over 63 percent in East Asia and
the Pacific and sub-Saharan Africa. Available literature indicates that FLPRs do not only vary
across regions and countries but also among rural-urban population within countries. IFAD
2011 Rural Poverty Report observed gender disparities in labour participation rates in rural
on-farm and non-farm activities, as a common phenomenon in most developing countries.
Also, according to Food and Agricultural Organization (FAO) (2012) report on „gender
inequalities in rural employment in Ghana‟, the majority of rural Ghanaians are self-
employed in agriculture and 56 percent of the rural working population has more than one
source of income. It further observed that overall, very few rural Ghanaians engage in paid
labour and when opportunities exist, women are at the disadvantage position. Thus, men take
five times more in wage-employment than women.
Rural poor participating in labour markets is influenced by a number of factors. These factors
apply to both men and women, but can have an even greater impact on women as observed
by rural poverty report of 2011 and IFAD (2010). Some of these factors include poor road
networks in most rural areas, poor or lack of access to education and skill training, gender in
balance labour markets as a result of gender division of labour, social norms and restriction
that limit rural women‟s access to and control over productive resources such as land and
other economic resources.
Notwithstanding the improvement in the growth of Ghana‟s economy over the last decade (
see ISSER, 2010; NDPC, 2010; Ghana Budget Statement, 2012; ISSER, 2013,), labour
unemployment continue to be a major development challenge for Ghana (Otoo et al, 2009;
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Asante, 2011; Business Guide, 2011; Owusu-Ansah et al, 2012 and Mensah, 2012). Also
Ghana‟s progress in poverty reduction, appeared not to have a significant impact on poverty
levels of rural men and women in the country because an important share of rural men and
women still lack decent work opportunities (FAO, 2012). This situation is coupled with the
fact that agriculture which the mainstay of rural economy in Ghana continue to experience
declining growth rate, moving from 7.4% in 2008 to 3.4% in 2013 (Government of Ghana
Budget Statement, 2014) posing a challenge to poor rural people of being able to sustain their
livelihoods. The Northern part of the country – poorest regions in Ghana are of major
concern.
Although agricultural income continue to constitute the backbone of the rural economy in
most developing countries, incomes from wage labour and other non-farm income generating
activities have increasingly become significant (Bright et al. 2000; Lanjouw and Shariff,
2002; IFAD, 2010; FAO, 2012). For several decades participation in labour markets has
always been an important strategy for poverty alleviation and attainment of food security
(Ruben Carletto and Krausova, 2007). In the context of the economy, the concept of labour
force participation is important consideration, because increased labour force participation
can influence economic indicators such as the unemployment rate, poverty, and overall
standard of living particularly for the vulnerable and poor women in the rural society. As
women constitute nearly half of the working age population and remain the poorest in most
developing communities including Northern Ghana (World Development Report, 2012), it is
important to look at women‟s participation in labour markets. Also, the World Development
Report, 2012 observed that female labour force participation in the rural economy is crucial,
because it is related to the issue of women's empowerment and gender equality.
Indeed despite the importance of labour force participation in Northern Ghana, most literature
contributing to this discourse often concentrated on national level using macroeconomic
aggregated data without much attention being paid to location specific, peculiarities and
empirical data that can adequately explain socio-cultural factors such as gender and how it
shapes individual participation in labour markets in Northern Ghana, particularly issues
relating to gender (Bright et al., 2000; Isgut 2003; Sackey 2005 and Ackah, 2009). Taking the
analysis of labour market participation at the national and using aggregated data may have its
own merits, but it may overlook the spatial interconnectedness of rural labour market which
is crucial for rural policy targeting and formulation. As such, this paper relied on empirical
population based line survey data to identifying factors determining female labour
participation in on-farm, non-farm and wage labour livelihood enterprises in Northern Ghana.
Information from this paper will help to guide policy formulation targeting poverty reduction
and empowering women as envisaged in the Millennium Development Goals (MDGs).
2.0 MATERIALS AND METHODS
The paper used the data generated from USAID Feed the Future (FTF) Population baseline
Survey conducted in Northern Ghana in 2012. The survey conducted by Monitory and
Evaluation Technical Support Services (METSS) in partnership with the Institute of
Statistical, Social and Economic Research (ISSER) of the University of Ghana as well as the
Ghana Statistical Service in FTF Northern Zone of Influence. The survey was to generate
data for FTF impact and outcome indicators, in their Zone of Influence (ZOI) within
Northern Ghana (Maberry et.al, 2014). The survey covered 4,410 households with nearly
25,000 individuals in 45 districts across the four regions in the SADA Area of Northern
Ghana.
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From the over 24, 000 respondents from the 4,410 households surveyed, during the 2012
Feed the Future METSS Population based survey in Northern Ghana, 13, 580 of them were
15 years or older, the official working age of Ghana (NYC, 2012), and as such constitute the
sample for this paper.
The Northern Ghana Zone of Influence (ZOI) of FTF programme falls within the Savannah
Accelerated Development Authority (SADA) Area. The Northern Ghana Zone of Influence
which encompasses the area above Ghana‟s 8th
parallel consist of the whole of Northern,
Upper West, and Upper East Regions, and Northern parts of Volta, and Brong/Ahafo
Regions. Map of the areas covered by the USAID/FTF population based line survey is
presented in Figure 1.
Source: METSS-GHANA, (2012)
Figure 1: Map of Northern Ghana, Depicting the Zone of Influence of FTF Intervention
2.1 Methods of Data Analysis
Chi-square analysis was used in analyzing gender dimension of labour force participation in
various livelihood enterprises such as on-farm, non-farm self-employed enterprises and wage
labour. This was used to test the hypothesis below:
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Ho1: there is no significant difference in Labour Participation (LP) between male and female
in labour markets in northern Ghana.
The Chi-square formula below was applied. Stata version 11 statistical software package was
used to aid data entering and analysis.
χ2
= ∑(O-E)2
E
Where O = Observed frequency and E = Expected frequency
Regression model was used to estimate the determinants of Female Labour Participation
(FLP) in the various livelihood enterprises in Northern Ghana. The dependent variable was
FLP which was expressed as a function of selected explanatory variables. The dependent
variables was obtained from responses gathered on the question „did you participate in named
livelihood activities (food production, cash crop production, livestock production, non-farm
and wage labour) within the last 12 months‟. The binary response (yes/no) was analysed
using binary choice model. As such dichotomy cumulative function as shown in the question
1 below was considered.
Yi = f (X1, …., Xn) ………………………………………..(1)
Where Yi denotes Female participation in a given livelihood (i = 1; if a female participate in a
given livelihood activity and i = 0; if otherwise).
Xl, …., Xn represents various socioeconomic and demographic factors determining FLP in a
given livelihood activity. Two non-linear models, namely probit and logit are usually used to
estimate the function specified in equation (1) (see Gujarati, 2004). This study employed
probit model in estimating determinants of female labour participation. The independent
variables selected in this probit regression model included age, marital status, literacy,
household status and size, access to credit, access and control over household productive
resources, household decision making and working hours per day
3.0 RESULTS AND DISCUSSIONS
From the over 24, 000 respondents in the 4,410 households surveyed, during the 2012 Feed
the Future METSS Population baseline survey in Northern Ghana, 13, 580 of them were 15
years or older, the official working age of Ghana (NYC, 2012), and as such constitute the
sample for this paper. During the survey, respondents were asked whether they have
participated in the various livelihood activities within the last 12 months. The livelihood
activities available in Northern of Ghana included agricultural based such as food crop
production, cash crop production, livestock rearing and fishery. Others are wage labour and
Non-farm self-employed livelihood enterprises such as trading, agro-processing, food
vendoring, and artisanship among others.
Notwithstanding the fact that agricultural income continues to constitute the backbone of the
rural economy in most developing countries including Ghana, incomes from wage labour and
other non-farm income generating activities have increasingly become significant (see Bright
et al. 2000; Lanjouw and Shariff, 2002; IFAD, 2010; FAO, 2012). As such, this paper
examined gender perspectives of labour participation in agricultural, non-farm and wage
labour livelihood activities undertaken by citizens in Northern Ghana to secure food and
income security.
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3.1 Gendered Labour Participation
Crosstabulation of the various livelihood enterprises by gender was constructed and chi-
square calculated to determine whether there exist gender disparities in respondents‟
participation in these livelihood enterprises. Results of the Chi-square in crosstabulation is
presented in the Table 1. Results of the Chi-square analysis revealed significant gender
differences in labour participation in food and cash crops production, livestock rearing, non-
farm self-employed enterprise and paid wage at 1% level of significance.
As shown in the Table 1, male respondents were more likely to have been engaged in cash
crop production as compared with their female counterparts. The Chi-square analysis yielded
a chi-square values of χ2 (1) = 262.72; P = 0.00 indicating a strong relationship between
gender and labour participation in cash crop production. The most widely cash crop grown in
the area included groundnut (peanut), cashew, shea nut and soybean. Whilst only 32% of the
6,332 female respondents saying they have been engaged in cash crop production within the
last 12 months, the overwhelming majority (93%) of the 7,248 male respondents have taken
part in the production of one cash crop or the other. However, more female respondents than
male were found to have been engaged in non-farm self-employed enterprises within the last
12 months. As shown in the Table 1, with a chi-square value of χ2 (1) = 3578.16; P = 0.000
demonstrating significant gender disparities in labour participation in non-farm self-
employed livelihood enterprises. About two-third (68%) of the female surveyed reported to
have been engaged in non-farm self-employed enterprises as against only 17% of the male
respondents. It can therefore be argued, that there is high female participation in non-farm
self-employed livelihood enterprises. The non-farm self-employed enterprises mostly
engaged in by respondents were petty trading, agro-processing and artisanship.
With regard to wage labour participation, the analysis of the survey data indicate a significant
gender disparity in participation in wage labour. With a chi-square value of χ2 (1) = 6894.24;
P = 0.000, the study therefore demonstrate that labour participation in wage labour differ
significantly at 1% level across gender. Male respondents reported to have been engaged in
wage labour compared with females. As shown in the Table1, about 71% of male respondents
said they have been engaged in wage labour, both agriculture such as hired farm labour and
non-agriculture labour such employees in private or public organizations, as compared with
only 21% of their female counterparts.
However, the study did not established a significant difference in male and female labour
participation in fishery. Indicating that male respondents as well as female respondents were
equally likely to have been engaged in fishery. However, only 20% of both male and female
respondents reported to have been in engaged in fishery within the last 12 months. Both black
and white Volta River, the main rivers and source of fresh water in Ghana, runs through some
of the Districts in the Northern Ghana providing water bodies for fresh water fishery.
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Table 1: Distribution of Labour Participation by Gender
Participation in Livelihood Activities Gender Total
Did you Participate in Food Crop Production Female Male
Yes 5,028(79%) 6,115 (84%) 11,143(82%)
No 1,304 (21%) 1,133 (16%) 2,437(18%)
Total 6,332 (100%) 7,248 (100%) 13,580(100%)
χ2 (1) =56.17;P = 0.001***
Did you Participate in Cash Crop Production
Yes 2,049(32%) 6,761 (93%) 2,720(58%)
No 4,183(68%) 487(7%) 4,670(42%)
Total 6,332(100%) 7,248 (100%) 13,580(100%)
χ2 (1) = 262.72;P = 0.000***
Did you Participate in Livestock Rearing
Yes 5,035 (80%) 5,977 (83%) 1, 0952 (80%)
No 1,297 (20%) 1,271 (17%) 2,568(20%)
Total 6,332 (100%) 7,248 (100%) 13,580(100%)
χ2 (1) =16.98;P = 0.001***
Did you Participate in Non-farm Enterprise
Yes 4,287(68%) 1242(17%) 5,529(41%)
No 2045(32%) 6006 (83%) 8,051(59%)
Total 6,332 (100%) 7,248 (100%) 13,580(100%)
χ2 (1) = 3578.16;P = 0.000***
Did you Participate in wage labour
Yes 1303(21%) 5,163 (71%) 6,466(48%)
No 5,029 (79%) 2,085 (29%) 7,114(52%)
Total 6,332 (100%) 7,248 (100%) 13,580(100%)
χ2 (1) = 3474.62;P = 0.000***
Did you Participate in Fish Farming
Yes 1,240 (20%) 1,348 (20%) 2,588(20%)
No 5,092 (80%) 5,900 (80%) 10,992(80%)
Total 6,332 (100%) 7,248 (100%) 13,580(100%)
χ2 (1) = 2.06;P = 0.1512
**** Variable significant at 1%
Source: Analysis of data from Feed the Future Population Baseline Survey, 2012.
3.2 Determinants Female Participation in Livelihood activities
As part of the population baseline survey data collection process, respondents were asked
whether they have participated in the various livelihood activities within the last 12 months to
the time of the survey which was conducted in June, 2012. The binary response (yes/no) were
obtained and subjected in a probit regression analysis in determining factors influencing
female participation in the various livelihood activities and results of the analysis is reported
in this paper.
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3.2.1 Descriptive Statistics of Variables in the probit model
Out of the 13,580 respondents constituting the sample of this study, 6,332 of them,
representing 46.6%, were females and constituted subjects for the probit analysis conducted
to assess factors influencing female labour participation in various livelihood enterprises.
Table 2, presents measurement and descriptive statistics of variables used in the probit model.
In the table, the overwhelming majority (79%) of respondents surveyed in the population
based line survey participated in food crop production within the last 12months with about
one-third (32%) of them indicating that they have been engaged in cash crop production over
the period. This was to be expected since agriculture, particularly crop production is the main
employer in Ghana (See FAO, 2012). The study demonstrates a wide gap between female
participation in food crops and cash crop production, with just 32% of them engaging in cash
crop production as compare with 84% engaging in food crop production. Thus, women are
more likely to be engaged in food crop production than cash crop, a situation which raises
issues of gender gap in earnings, confirming the findings of Elborgh-woytek et al. (2013)
which indicated that women spent much of their time in unpaid household activities such as
child bearing, cooking among others,. The main food crops grown in the area include
cassava, yam, maize, rice, millet and sorghum, with shea nuts, groundnut and cashew being
the main cash crops IFPRI (2011).
However, the overwhelming majority of the female surveyed were active participants in their
households‟ livestock production activities, with as high as 80% indicating that they have
participated in livestock production within the last 12months to the time of the interview.
Women have been identified as playing critical role in livestock production, especially small
ruminants such as goat and sheep, and household poultry like local fowls and guinea fowls
(see MOFA, 2012). With regard to non-farm self-employed livelihood activities such as
trading and artisanship, the majority (68%) of the 6,332 women interviewees have been
involved in non-farm livelihood enterprises. Also 21% of them indicated to be engaged in a
paid wage labour, while 20% indicated that they had been engaged in fishery within the last
12 months.
The overwhelming majority (78%) of the female respondents were from rural areas, which
fairly represent the population dynamics of Northern Ghana as captured in the 2010
Population and Housing Census (see GSS, 2010). The population results reveals that about
69.7%, 79% and 83.7% of the population of Northern region, Upper East and Upper west
regions respectively, are from rural areas.
Household status, which was dummied as „1 = male headed household; 0 = otherwise‟, the
analysis showed that the overwhelming majority (82%) of respondents were from male
headed households, with a mean of 0.82 (SD = 0.38). Household membership structure,
which was measured as dummy (1 = mixed adults; 0 = otherwise) demonstrated a strong
indication that most of the female respondents were in households with mixed adults
membership structure, scoring a mean of 0.83 (SD = 0.37). Also, households of the 6,332
female surveyed were quite large with a mean household size of about 6 persons (SD = 3.34)
per household. This is slightly larger than the national average household size of 4 persons
per household as established in the 2010 Population and Housing Census (see GSS, 2012).
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Most of the female respondents were within their youthful age, with an average age of 29.26
(SD = 9.23), as shown in the Table 2. However, about two-third of the female respondents
were not married. Analysis of marital status which was measured as dummy (1 = married;
otherwise = 0) revealed a mean of 0.34 (SSD = 0.47) indicating that most of the respondents
were not married and were either single (never married), window, divorced or separated. This
finding is quite strange considering the fact that most of the respondents were in their
youthful age category and also the fact that it is below the national average of 43% of
Ghanaian citizens 12 years and above being married as revealed in the Ghana 2010
Population and Housing Census.
The literacy level of respondents covered in the survey was found to be so low, with only
20% of them indicating they can read and/or write, with an average number of years of
formal schooling completed for 4 years (SD = 3). Analysis of working hours per day of the
6,332 female respondents covered in the survey indicate that, the day of the respondents are
characterised by a very busy day with little leisure time. As shown in the Table 2, the average
working hours of the respondents is 10.8 (SD = 2.15) per day, exceeding the official working
hours of 8 hours.
Access to resources is imperative for people to able to participate in various livelihood
activities and their capability to harness other livelihood options in diversifying their
livelihoods and earnings. However, only 16% of the 6,332 female respondents surveyed
indicated that they have borrowed money from formal sources within the last 12 months.
Women participation in household production decisions which were measured as dummy (1
= jointly; otherwise = 0) revealed a poor participation of women in their household
production decision making process. As shown in the Table 2, only 24% of the 6,332 women
surveyed said production decisions in their households were jointly taken by both adult male
and female household members. Similar findings were observed with regard to women
participation in household decision making regarding to income use and investment. Their
control over household resource were equally not better, with only 24% of them indicating
that they jointly owned and control their household resources with other adult household
members.
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Table 2: Measurement and Descriptive Statistics of Variables in the Model
Variable Variables Description and Measurement Mean Std. Dev.
Participation in food crop production Dummy ( 1= yes; 0 = otherwise) 0.79 0.34
Participation in cash crop production Dummy ( 1= yes; 0 = otherwise) 0.32 0.50
Participation in Livestock Dummy (1= yes; 0 = otherwise) 0.80 0.38
Participation in non-farm Dummy (1 = yes‟ 0 = otherwise) 0.68 0.50
Participation in Wage Labour Dummy (1= yes; 0 = otherwise) 0.21 0.49
Participation in fishery Dummy (1= yes; 0 = otherwise) 0.20 0.39
Location Dummy(1 = rural;0 = otherwise) 0.78 0.41
Household Status Dummy (1 = Male headed; 0 = otherwise) 0.82 0.38
Household Membership Structure Dummy (1 = mixed adult; 0 = otherwise ) 0.83 0.37
Household Size Number of persons in a household 5.7 3.34
Ethnic Background Dummy (1 = Mole Dagomba; 0 = otherwise) 0.49 0.50
Age Age in years 29.26 9.23
Marital Status Dummy (1 = married; 0 = otherwise) 0.34 0.47
Literacy Dummy(1= can read and/or write; 0 = otherwise) 0.20 0.40
Number of years of Education Number of years of formal schooling completed 4 3
Religious Background Dummy (1 = Islam; 0 = otherwise) 0.45 0.50
Working Hours per day Number of working hours per day 10.8 2.15
Access to Credit Dummy (1 = borrowed within 12months; 0 = otherwise) 0.16 0.23
Household Production Decision Dummy (1 = Jointly; 0 = otherwise) 2.14 0.35
Decision on use of Household income Dummy (1 = Jointly; 0 = otherwise) 2.14 0.34
Control over Household Resource Dummy (1 = Jointly; 0 = otherwise) 2;14 0.34
Source: Analysis of Data from USAID/FTF Population Baseline survey, 2012; SD =
Standard deviation;
3.3.2 Determinants of Female participation in Food Crop Production
Results of the probit analysis conducted to assess factors influencing female participation in
food crop production is presented in Table 3 showing coefficients, standard errors and z-
scores of the independent variables in the probit model. The model estimation reveals a
MacFadden R2
of 0.709 showing that the variables included in the model are able to explain
about 71% of the probability that a respondent participated in food crop production within the
last 12 months. Also the empirical model best fitness measured by LR chi2 (15) = 41.82 and
Prob > chi2 = 0.0000 indicates the best fitness of the model in predicting female participation
in food crop production.
As shown in the Table 3, location of respondents, as either rural or urban, ethnic background
of respondents, as either Mole Dagomba or otherwise, number of years of formal schooling
completed and control over household resource (dummy as 1 = jointly controlled or
otherwise = 0) were found to be significant at 1% in determining female participation in food
crop production. Demonstrating that respondents from rural areas were more likely to engage
in food crop production as against their urban counterpart. This was expected because
agriculture in general and crop production in particular, is more practiced in rural areas than
in the urban communities. Respondents of the mole Dagomba ethnic group were more likely
to have taken part in crop production within the last 12 months as compared with other
respondents from different ethnic backgrounds. However, the coefficient of number of years
of formal schooling completed, as shown in the Table 3, was negative, indicating that
respondents with higher years of formal schooling were less likely to have been engaged in
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food crop production. This finding indicates that female respondents who engaged in crop
production were less educated, raising issues of their ability to understand and adopt improve
technologies which is important for the increase in crop productivity and improvement in
food security. This situation have been a challenge to Ghana agricultural sector development
and productivity through adoption of improved innovation and best practices in agricultural
production. The findings could perhaps explain the observation made by MOFA (2012) that,
the country‟s agriculture is characterised by smallholding, mostly family-operated farm unit
of production with mostly illiterate producers who generally used rudimentary technology to
produce about 80% of the country‟s total agricultural output.
Also women who have control over their households resource such as land, labour and
capital were found to be more likely to have taken part in food crop production as against
those who indicated that they were not involved in household decision making regarding
control and use of household productive resources. Similarly, Adam (2014) found that
women who had access to household resources were likely to participate in non-farm
livelihood activities in Northern region of Ghana.
Also variables such as household status; as either male or female headed, religious
background, literacy and decision on use of household income were found to be significant at
5% level of significance in determining female participation in food crop production. The
coefficient of the variable „household status‟ measured as dummy (1 = male headed;
otherwise = 0) was negative, indicating that respondents from female headed households
were more likely to have taken part in food crop production as compare with those from male
headed households. Also respondents who could read and/or write were less likely to have
taken part in food crop production whilst those who could not read and/or write were more
likely to be engaged in food crop production.
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Table 3: Estimates of factor influencing Female participation in food crop production
Variables Coef. Std. Err. z P>z
Location 0.1334219 0.0327295 4.077 0.000***
Household Status -0.0045544 0.0358247 -2.918 0.024**
Household Structure 0.0328745 0.0372231 0.88 0.377
Household Size -0.0044752 0.0039597 -1.13 0.258
Ethnic Background 0.1017222 0.0281345 3.62 0.000***
Religious Background 0.0564425 0.0281162 2.01 0.045**
Age -0.0004188 0.0014126 -0.30 0.767
Marital Status 0.0219391 0.0279628 0.78 0.433
Literacy -0.1111332 0.0385296 -2.88 0.025**
Number of Year of Formal Schooling -0.0134515 0.0050555 -2.66 0.008***
Working hours per day -0.0066587 0.0060999 -1.09 0.275
Access to credit 0.0940339 0.0593713 1.58 0.113
Household Production Decision -0.1185145 0.1094939 -1.08 0.279
Decision on use of Household income 0.1940929 0.1098337 1.77 0.039**
Control over Household Resource 0.122517 0.0380501 3.22 0.000***
_cons 0.350404 0.079283 4.42 0.000***
Number of Observation = 6,332
LR chi2(15) = 41.82
Prob > chi2 = 0.0000***
MacFadden R2
= 0.7091
Log likelihood = -5884.26
*, ** and *** denote that the variable is significance at 1%, 5% and 10% respectively
Analysis of Data from USAID/FTF Population Baseline survey, 2012
3.2.3 Determinants of Female participation in Cash Crop Production
For the probit analysis conducted, regarding factors determining female participation in cash
crop production, the selected empirical model was found to be best fit with LR chi2(15) of
726.95 (Prob > chi2 = 0.0000) in measuring determinants of female labour participation in
cash crop production in Northern Ghana. Also, as indicated by MacFadden R2
= 0.87,
implying that the variation of the variables included in the model is capable of explaining
87% of the probability of a respondent engaging in cash crop production within the last
12months.
The probit analysis found variables such as location of respondent, ethnic background,
number of years of formal schooling and control over household resource to be significant at
1% in predicting female participation in cash crop production. Whilst the coefficients of the
variables location (dummy as 1 = rural area; otherwise = 0) and control over household
resource (dummy as 1 = jointly controlled; otherwise =0) were positively related to
participation in cash crop production, that of number of years of formal schooling completed
was negatively related to participation in cash crop production. Indicating that female
respondents from rural areas were more likely to have been engaged in cash crop production
compared with those who were from urban areas. Also respondents with some level of
formal education were found to be less likely to have been engaged in cash crop production
within the last 12 months. However, female respondents‟ control over household productive
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resources was found to be significant predictors of their participation in cash crop production.
Whiles those without any formal education were more likely to have been engaged in cash
crop production, those with some level of formal education were found to be less likely to
engage in cash crop production.
Also respondents‟ household status, (dummy as 1 = male headed; otherwise = 0), religious
background, literacy level and decision on use of household income (dummy as 1 = jointly;
otherwise = 0) were found to be significant at 5% in influencing female participation in cash
crop production. As shown in the Table 4, the coefficient of household status is negatively
related to female participation in cash crop production, indicating that male headed
households were found less likely to have been engaged in cash crop production within the
last 12 months. This finding appeared not to be incongruent with the gender insensitive land
tenure system which characterised land holding and control in Northern Ghana (see
Apusigah, 2007; Aryeetey et al., 2007). Literacy was also found to be negatively related with
female participation in cash production, implying that respondents who could read and/or
write were found less likely to have been engaged in cash crop production than those who
could not read and/or write. However respondents‟ participation in decision regarding use of
household income was found to be positively related to their participation in cash crop
production.
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Table 4: Estimates of factor influencing Female participation in cash crop production
Variables Coef. Std. Err. z P>z
Location 0.1078324 0.0273323 3.95 0.001***
Household Status -0.0567638 0.0301311 -1.88 0.060*
Household Structure 0.0374625 0.0314321 1.19 0.233
Household Size 0.006498 0.0033646 1.93 0.053*
Ethnic Background 0.0476707 0.0235605 2.02 0.043**
Religious Background -0.0334268 0.023642 -1.41 0.157
Age -0.0000344 0.0011895 -0.03 0.977
Marital Status -0.0548404 0.0234541 -2.34 0.019**
Literacy -0.1523286 0.0321883 -4.73 0.000***
Number of Year of Formal Schooling -0.0100521 0.0043589 -2.31 0.045**
Working hours per day -0.0019783 0.0051013 -0.39 0.698
Access to credit -0.0112647 0.0481706 -0.23 0.815
Household Production Decision 0.5939372 0.0904957 6.56 0.000***
Decision on use of House income 0.3214584 0.0754192 4.26 0.000***
Control over Household Resource 0.2067162 0.0318143 6.50 0.000***
_cons -0.3901214 0.1000768 -3.90 0.000***
Number of Observation = 6,332
LR chi2(15) = 726.95
Prob > chi2 = 0.0000***
MacFadden R2 = 0.87
Log likelihood = -9023.5909
*, ** and *** denote that the variable is significance at 1%, 5% and 10% respectively
Analysis of Data from USAID/FTF Population Baseline survey, 2012
3.2.4 Determinants of Female participation in Livestock Production
Estimates of coefficients, standard errors and z-scores of independent variables selected for a
probit regression analysis conducted to determine the significant of their influence in female
participation in livestock production are presented in the Table 5. As shown in the Table, the
selected empirical model with LRch2
(15) of 42.21 (prob>ch2
= 0000) is significant at 1% and
best fit the model estimates prediction of factor influencing the participation of female in
livestock production. Also with MacFadden R2
of 0.721, further demonstrate the
predictability of the dependent variable (female participation in livestock production) by the
selected independent variables. This implies that about 72% of the variation in the probability
of a respondent‟s participation in livestock production can be jointly explained by the
variation in the selected independent variable.
From the analysis, the variables location, ethnic background, marital status, household
production decision, decision on use of household income and control over household
resource were found to be significant at 1% and positively related to female participation in
livestock production. Demonstrating that respondents from rural areas, those from the Mole
Dagomba ethnic group and married women were more likely to have participated in livestock
production within the last 12 months compared with those from urban areas, other ethnic
groups and those who were not married respectively. Also female respondents surveyed who
jointly take decisions on household production with other adult household members, those
who had the opportunity to contribute to how household income should be used and those
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who had the control over household productive resources were found to be more likely to
have been engaged in livestock production within the last 12 months.
Variables such as household status, literacy, number of years of formal schooling and
working hours per day were also significant at 1%, but were found to be negatively related to
female participation in livestock production. Giving a significant indication and the evidence
that respondents who could read and/or write and have a higher number of years of formal
schooling were less likely to have been engaged in livestock production within the last 12
months from the time of the interview. Also respondents who worked longer hours a day
were found to be less likely to be engaged in livestock production, demonstrating that long
hours spent in carrying out unpaid household activities such cooking, tiding up home, child
bearing and care among others by females tend to limit their participation in livestock
keeping.
Table 5: Estimates of factor influencing Female participation in livestock production
Variables Coef. Std. Err. z P>z
Location 0.1301656 0.0318946 4.08 0.000***
Household Status -0.103419 0.0349793 -2.96 0.005***
Household Structure 0.0195474 0.0364134 0.54 0.591
Household Size -0.0040575 0.003875 -1.05 0.295
Ethnic Background 0.1029311 0.027489 3.74 0.000***
Religious Background -0.0139174 0.0274646 -0.51 0.612
Age 0.0000826 0.0013773 0.06 0.952
Marital Status 0.1326363 0.0272887 4.86 0.000***
Literacy -0.1315241 0.0377793 -3.48 0.000***
Number of Year of Formal Schooling -0.0139054 0.0049602 -2.80 0.005***
Working hours per day -0.0194795 0.0059784 -3.26 0.001***
Access to credit 0.1542737 0.0570065 2.58 0.006
Household Production Decision 0.0540217 0.0070213 7.69 0.000***
Decision on use of House income 0.0442835 0.0072194 6.13 0.000***
Control over Household Resource 0.0426257 0.0173029 2.59 0.006***
_cons 0.343096 0.0777468 4.41 0.000***
Number of Observation = 6,332
LR chi2(15) = 42.21
Prob > chi2 = 0.0002***
MacFadden R2 = 0.721
Log likelihood = -6250.36
*, ** and *** denote that the variable is significance at 1%, 5% and 10% respectively
Analysis of Data from USAID/FTF Population Baseline survey, 2012
3.3.5 Determinants of Female Participation in non-farm Enterprise
Availability of alternative livelihood options outside agriculture in a typical agriculture
dominated areas has become a norm, and women‟s ability to engage in such enterprises have
been identified as very critical in the improvement in women‟s economic status (Ellis, 1998;
Adam, 2014). Analysis of the survey results indicate that the majority (68%) of the 6,332
female 15 years or older interviewed indicated they have engaged in non-farm self-employed
livelihood enterprise within the last 12 months.
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A probit regression analysis, conducted to identify factors influencing female labour
participation in non-farm self-employed livelihood enterprise yielded MacFadden R2
of 0.835
with LR chi2
(15) of 856.21 (prob>chi2
= 0.000). This implies that the empirical model best
fits as a predictor of female labour participation in non-farm enterprises and that the
independent variables included in the model jointly explain about 84% of the probability of
female participation in non-farm enterprise.
Analysis of the estimates coefficients, standard error and z-scores of the independent
variables as presented in the Table 6 shows that the variables „number of years of formal
schooling‟, „household production decision‟, „decision on use of household income‟ and
„control over household resource‟ were significant at 1% and positively related to female
labour participation in non-farm enterprises. These findings demonstrate that women who
took part in their household production decisions, those who jointly decide on use of
household income and those who jointly controlled other household productive resources
were found to be more likely to have been engaged in non-farm livelihood enterprises. This
therefore established that female participation in household decision making and control over
household resource are critical determinants of their participation in non-farm self-employed
livelihood enterprise and for that matter livelihood diversification outside agriculture. Also,
women with more years of formal schooling were found more likely to have been engaged in
non-farm enterprises.
However, variables such as location of respondents and marital status were found to be
negative and significant at 1% level in influencing female labour participation in non-farm
self-employed enterprises. This implies that respondents from urban communities and those
who were not married were more likely to have been engaged in non-farm livelihood
enterprises than those from rural communities and those who were married respectively.
As shown in the Table 6, variables such as household status and literacy, were significant at
5% in influencing female participation in non-farm enterprises. Whilst household size was
negatively related to participation in non-farm activities, implying that smaller households
were more likely to have participated in non-farm self-employed enterprise. Literacy was
found to be related positively with participation in non-farm livelihood enterprises. Thus,
female respondents who could read and/or write were found more to be more likely to have
participated in non-farm livelihood activities than those who could not read nor write, A
finding similar to the observation made by Adam (2014) while investigating non-farm and
gender in Northern region of Ghana.
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Table 6: Estimates of factor influencing Female participation in Non-farm Enterprise
Variables Coef. Std. Err. z P>z
Location -0.0839191 0.0275128 -3.05 0.002***
Household Status -0.0462252 0.03024 -1.53 0.126
Household Structure -0.0263989 0.0315526 -0.84 0.403
Household Size -0.0074619 0.003383 -2.21 0.027**
Ethnic Background 0.0304506 0.0236694 1.29 0.198
Religious Background 0.0180399 0.0237486 0.76 0.447
Age 0.0000691 0.0011944 0.06 0.954
Marital Status -0.0651587 0.0235538 -2.77 0.006***
Literacy 0.0761443 0.0323336 2.35 0.019**
Number of Year of Formal Schooling 0.0170821 0.0043927 3.89 0.001***
Working hours per day -0.0011058 0.0051246 -0.22 0.829
Access to credit 0.0228201 0.048373 0.47 0.637
Household Production Decision 0.6851024 0.0914704 7.49 0.000***
Decision on use of House income 0.4009605 0.0756766 5.30 0.000***
Control over Household Resource 0.1158648 0.0319436 3.63 0.001***
_cons 0.2565687 0.1004615 2.55 0.015**
Number of Observation = 6,332
LR chi2(15) = 856.21
Prob > chi2 = 0.0000***
MacFadden R2 = 0.835
Log likelihood = -8923.1303
*, ** and *** denote that the variable is significance at 1%, 5% and 10% respectively
Analysis of Data from USAID/FTF Population Baseline survey, 2012
3.2.6 Determinants of Female participation in Wage Labour
Studies (see Blackden and Hallward-Driemeier, 2013; Elborgah-Woytek et al, 2013) have
demonstrated that women time is heavily spent on unpaid household activities which are
often not accounted for in estimating their economic contribution to households and to
national economies. Analysis of the survey data revealed that only (21%) of the 6,332 female
reported to have taken part in a paid wage labour within the last 12 months. The paid wage
labour common in the study area included employment in formal institutions, both public or
private organizations, agricultural labour such as working on other people farms for wage,
hired labour in informal enterprises such as restaurants or chop bars, head porters among
others.
In assessing factors influencing female participation in labour market regarding wage labour,
a probit regression analysis was conducted and the model estimates of coefficients and
standard errors are presented in the Table 7. The model estimate reveals a MacFadden R2
of
0.809 demonstrating that the selected variables in the model can jointly explain about 81% of
the probability that a respondent participated in wage labour within the last 12 months.
From the analysis variables such as ethnic background of respondents, literacy, number of
years of formal schooling and working hours were found to be significant at 1% level in
determining respondents‟ participation in wage labour. Whiles, ethnic background and
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working hours per day were negatively related to participation in wage labour, literacy and
number of years of formal schooling were positively related to participation in wage labour.
This implies that respondents of Mole Dagomba ethnic background were less likely to have
engaged in wage labour within the last 12 months to the time of the survey than those of other
ethnic groupings. Also respondents who work long hours a day were less likely to have been
engaged in wage labour. However, female respondents who were able to read and/or write
and those with more years of formal schooling were more likely to have been engaged in
wage labour than those of lesser years of formal schooling and could neither read nor write.
Also variables such as location of respondents, household production decision, decision on
use of household income and control over household resources were significant at 5% and
positively related to female labour participation in wage labour. Thus, respondents from
urban areas, those who participate in their household production decisions, and use of income
and those with control over household resources were more likely to have been engaged in
wage labour within the last 12 months. Marital status of respondents was found to be
significant at 10% and negatively related to participation in wage labour among the female
surveyed. Meaning that respondents who were not married were more likely to have taken
part in wage labour within the last 12 months to the time of the interview.
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Table 7: Estimates of factor influencing Female participation in Wage Labour
Variables Coef. Std. Err. z P>z
Location 0.0688145 0.027698 2.48 0.013**
Household Status 0.0462578 0.0304423 1.52 0.129
Household Structure 0.015992 0.0317511 0.50 0.614
Household Size 0.0017084 0.0033892 0.50 0.614
Ethnic Background -0.0817031 0.0237291 -3.44 0.001***
Religious Background -0.0303207 0.0238165 -1.27 0.203
Age 0.0001929 0.0011973 0.16 0.872
Marital Status -0.0402079 0.0236641 -1.70 0.089*
Literacy 0.1427531 0.0325248 4.39 0.000***
Number of Year of Formal Schooling 0.0136503 0.0044126 3.09 0.000***
Working hours per day -0.0142355 0.0051303 -2.77 0.004***
Access to credit 0.0373907 0.048484 0.77 0.441
Household Production Decision 0.3872322 0.0893789 4.33 0.000**
Decision on use of House income 0.2306637 0.0774901 2.98 0.003**
Control over Household Resource 0.0873556 0.0318745 2.74 0.006**
_cons -0.4628385 0.1019125 -4.41 0.000***
Number of Observation = 6,332
LR chi2(15) = 379.42
Prob > chi2 = 0.0000***
MacFadden R2 = 0.8091
Log likelihood = -8854.2476
*, ** and *** denote that the variable is significance at 1%, 5% and 10% respectively
Analysis of Data from USAID/FTF Population Baseline survey, 2012
4. CONCLUSION AND RECOMMENDATIONS
The paper examined determinants of female labour participation in on-farm, and non-farm
livelihood enterprises among women in Northern Ghana. Analysis of the survey data,
established significant gender disparities in labour participation regarding food and cash crop
production, livestock rearing, non-farm self-employed enterprises and paid wage at 1% level
of significant. With female found more likely to be engaged in non-farm self-employed
enterprises such as petty trading and agro-processing, whilst male were found more likely to
have participated in cash crop and wage labour within the last 12 months. However, the
analysis did not find any significant difference between male and female regarding their
participation in fishery. Thus, males were found to be engaged in activities which yield better
income as compared to their females counterparts.
The probit regression analysis identified location of respondents, ethnic background, number
of years of formal schooling completed and control over household resources as significant at
1% in determining female participation in food crop production. Also variables such as
household status, religious background, literacy and decision on use of household income
were found to be significant at 5% level of significance in determining female participation in
food crop production. With regard to participation in cash crop production, variables such as
location, ethnic background, number of years of formal schooling and control over household
resources were identified as significant at 1% in predicting female participation in cash crop
production. Also respondents‟ household status, religious background, literacy level and
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decision on the use of household income were found to be significant at 5% in influencing
female participation in cash crop production.
Also from the probit analysis, the variables location, ethnic background, marital status,
household production decisions, decisions on use of household income and control over
household resources were found to be significant at 1% and positively related to female
participation in livestock production. However, variables such as household status, literacy,
number of years of formal schooling and working hour per day were also significant at 1%
but however, were found to be negatively related to female participation in livestock
production. Results regarding participation in non-farm enterprises, shows that whilst
variables „number of years of formal schooling‟, „household production decision‟, „decision
on use of household income‟ and „control over household resources‟ were significant at 1%
and positively related to female labour participation in non-farm enterprises, variables such as
household status and literacy, were significant at 5% in influencing female participation in
non-farm enterprises.
The probit analysis identified variables ethnic background of respondents, literacy, number of
years of formal schooling and working hours were found to be significant at 1% level in
determining respondents‟ participation in wage labour. Also variables such as location of
respondents, household production decision, decision on use of household income and
control over household resource were significant at 5% and positively related to female
labour participation in wage labour.
The results from the analysis imply that females are disadvantaged in labour participation
regarding food and cash crop production. However, personal attributes of females such as
number of years of formal schooling completed, control over household resources and
decision-making significantly influenced female‟s participation in labour force in farm and
non-farm livelihood. It will be important for policies that aimed at improving female
participation in high income labour force such as cash crop production and wage labour to
use strategies such as improving female‟s access to household and community resources,
enhance their household production decisions, and investment in their formal education. This
should be done through the engagement of the relevant stakeholders such as the government,
development partners and community leaders, and the development players should have
proper understanding of the socio-cultural context of the target communities. This will help to
ensure a sustainable development in poor communities.
ACKNOWLEDGEMENT: I acknowledged U.S. Agency for International
Development (USAID), -funded Population-Based Survey in the Feed the Future
(FTF) Ghana Zone of Influence (ZOI), from which data were drawn for this paper.
We also acknowledged Monitoring Evaluation and Technical Support Services
(METSS) programme, the Institute of Statistical, Social and Economic Research
(ISSER) of the University of Ghana and the Ghana Statistical Service (GSS) who
carried out the baseline survey.
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