Presentation on 23th September 2014 at Chulalongkorn University, Thailand, by Tiraphap Fakthong, Faculty of Economics, Thammasat University, one of JuSNet's researcher.
Albania aims to achieve a rapid, balanced and sustainable economic development, which requires the possession of capable human resources to cope with different challenges. In this context, among others, the employment and training of young people remain challenges that the Albanian society is facing from many years. High unemployment rates along with low labor force participation and low employment rates characterize the Albanian youth labor market (ILO, 2014, Youth employment and migration, Country brief Albania, pg.2). Studies and research on this phenomenon are important in order to create effective policies to overcome this problem. In this article, is treated the subject of employment for the age group of 15-29 years old. The main data analyzed in this paper are those of INSTAT, taking into consideration are the reports and studies carried out in this sector. The purpose is to show what are the difficulties of young people to enter the labor market and the main factors that influence it.
Female workers in industrial enterprises in Vietnam account for a relatively high proportion and tend
to increase yearly. Low income, low education, and low labor productivity are listed as main reasons of low life
quality. Evaluation living standard of female workers, especially income and affecting factors is the key to find
solutions to improve the quality of their life. This paper presents results of the study on income assessment to built
a model to identify factors affecting income of female workers in industrial enterprises in Thai Nguyen province,
Vietnam. Working grade, number of training time per year, productivity, and position are found affecting factors
on their income. The results of this empirical work are suggestions for policy makers to find possible solutions to
improve living standard of female workers through income policy.
Albania aims to achieve a rapid, balanced and sustainable economic development, which requires the possession of capable human resources to cope with different challenges. In this context, among others, the employment and training of young people remain challenges that the Albanian society is facing from many years. High unemployment rates along with low labor force participation and low employment rates characterize the Albanian youth labor market (ILO, 2014, Youth employment and migration, Country brief Albania, pg.2). Studies and research on this phenomenon are important in order to create effective policies to overcome this problem. In this article, is treated the subject of employment for the age group of 15-29 years old. The main data analyzed in this paper are those of INSTAT, taking into consideration are the reports and studies carried out in this sector. The purpose is to show what are the difficulties of young people to enter the labor market and the main factors that influence it.
Female workers in industrial enterprises in Vietnam account for a relatively high proportion and tend
to increase yearly. Low income, low education, and low labor productivity are listed as main reasons of low life
quality. Evaluation living standard of female workers, especially income and affecting factors is the key to find
solutions to improve the quality of their life. This paper presents results of the study on income assessment to built
a model to identify factors affecting income of female workers in industrial enterprises in Thai Nguyen province,
Vietnam. Working grade, number of training time per year, productivity, and position are found affecting factors
on their income. The results of this empirical work are suggestions for policy makers to find possible solutions to
improve living standard of female workers through income policy.
An Investigation into the Financial Performance of Micro, Small and Medium En...Dr. Amarjeet Singh
Micro, small and medium enterprises (MSMEs) are an indispensable part of the Indian economy. In terms of Gross Value Added (GVA) and Gross Domestic Product (GDP), MSMEs accounted for about 33% and 31% of India's GVA and GDP, respectively, in the year 2019-20. Unlike large enterprises that are concentrated in the metros, MSMEs are spread across smaller and larger rural as well as urban centres of India. They are also the biggest source of employment, especially in rural India, and contribute to the rural development and industrialisation. MSMEs also act as a great social bridge as smaller enterprises are owned by socially backward classes and women than are larger enterprises. For these reasons and more, the India government has always promoted the growth and development of MSMEs through policy initiatives, technology up gradation, and via other means. Consequently, MSMEs have also grown in multi-folds in the past decades in terms of the number of enterprises in operation and the collective revenue of the sector. Several challenges affect the growth of MSMEs, however. One of these is the limited academic studies into the financial performance of MSMEs, probably due to the unavailability of adequate data. The present research attempts to fill this gap by conducting a financial performance evaluation of 51 sample MSMEs based in the district of Nanded, Maharashtra. The research utilizes Data Envelopment Analysis (DEA) to compare the financial performance of sample MSMEs selectively using the suitable variables identified by Arasu et al. (2021). Findings suggest sharp differences in the financial performance of sample units. Inefficient units are suggested to improve their return on asset, return on capital employed, and net profit margin.
What are the links between being a woman, working in the informal sector, and contributing to growth?
At 17%, India has a lower share of women's contribution to GDP than the global average of 37%.
This paper studies the determinants of personal income including the returns to education. In the process this paper estimates how incomes are affected by characteristics such as gender, caste, language etc. Using a maximum likelihood probability model, private returns to education are estimated using data from a Ministry of Finance Survey on Incomes and Savings conducted in 2004-05. We find that greater levels of education increase both the likelihood of being employed as well as the income earned from work. However, the returns from elementary (primary and middle) education are quite low. We also find that ceteris paribus women, lower social groups, rural residents, non-English speakers have both significantly lower incomes and significantly lower likelihood of being employed. Our results indicate that education should be geared towards ensuring flexibility in the students’ occupational choices.
Conclusion
Using a recently made available data on incomes we analyze how a range of household, individual and educational factors affects incomes. We find that the data for India show similar patterns as found for other countries, however the quantum differs. The key results are as follows:
Non-education characteristics
Individuals from SC and ST households are likely to have about 10 percent lower incomes than those from non-SC/ST households everything else remaining the same.
Women’s incomes are likely to be about a third lower than males having the same household and educational characteristics. They are also much more likely to be unemployed than males.
Those who are currently married are likely to have higher incomes and higher likelihood of being employed. Other results also indicate an interesting association between the marriage and labour markets.
Knowledge of the English language has a significant impact on incomes. Incomes of those who have knowledge of the language are between 18 to 22 percent higher depending upon whether they can merely understand or converse in it.
We also find that occupation effects are highly significant and explain a significant part of the income variations.
Education characteristics
Compared to illiterates those who have completed primary have 50% greater incomes, those who have completed middle school have incomes greater by 75%, those who have completed schooling have incomes greater by 172%, graduates by 278% and professional courses by 356%
After correcting for household and individual characteristics and state effects, compared to illiterates those who have completed primary have 31% greater incomes, those who have completed middle school by 45%, those who have completed schooling by 89%, graduates by 136% and professionals by 171%
After also including fixed occupation effects, compared to illiterates those who have completed primary have incomes greater by 15%, those who have completed middle school by 21%, those who have completed schooling by 42%, graduates by 69% and professional courses by 97%.
In other words, we find that the returns to greater education increase significantly as the level of education increases. This would be fine if the returns at the lowest level were high. However that is not the case and may be an important reason behind the high drop out rate. We also find evidence that there are significant rigidities in the labour market in the sense that household and occupational factors explain much of the variance in incomes. With greater education one may be able to break these rigidities, however, that requires children to remain in school.
For educational policy the message is quite clear: Quality of delivery, and content that enables flexibility in later occupational choice. This will ensure that rational children can expect to gain from the benefits of formal education, and therefore also remain in school longer.
An Investigation into the Financial Performance of Micro, Small and Medium En...Dr. Amarjeet Singh
Micro, small and medium enterprises (MSMEs) are an indispensable part of the Indian economy. In terms of Gross Value Added (GVA) and Gross Domestic Product (GDP), MSMEs accounted for about 33% and 31% of India's GVA and GDP, respectively, in the year 2019-20. Unlike large enterprises that are concentrated in the metros, MSMEs are spread across smaller and larger rural as well as urban centres of India. They are also the biggest source of employment, especially in rural India, and contribute to the rural development and industrialisation. MSMEs also act as a great social bridge as smaller enterprises are owned by socially backward classes and women than are larger enterprises. For these reasons and more, the India government has always promoted the growth and development of MSMEs through policy initiatives, technology up gradation, and via other means. Consequently, MSMEs have also grown in multi-folds in the past decades in terms of the number of enterprises in operation and the collective revenue of the sector. Several challenges affect the growth of MSMEs, however. One of these is the limited academic studies into the financial performance of MSMEs, probably due to the unavailability of adequate data. The present research attempts to fill this gap by conducting a financial performance evaluation of 51 sample MSMEs based in the district of Nanded, Maharashtra. The research utilizes Data Envelopment Analysis (DEA) to compare the financial performance of sample MSMEs selectively using the suitable variables identified by Arasu et al. (2021). Findings suggest sharp differences in the financial performance of sample units. Inefficient units are suggested to improve their return on asset, return on capital employed, and net profit margin.
What are the links between being a woman, working in the informal sector, and contributing to growth?
At 17%, India has a lower share of women's contribution to GDP than the global average of 37%.
This paper studies the determinants of personal income including the returns to education. In the process this paper estimates how incomes are affected by characteristics such as gender, caste, language etc. Using a maximum likelihood probability model, private returns to education are estimated using data from a Ministry of Finance Survey on Incomes and Savings conducted in 2004-05. We find that greater levels of education increase both the likelihood of being employed as well as the income earned from work. However, the returns from elementary (primary and middle) education are quite low. We also find that ceteris paribus women, lower social groups, rural residents, non-English speakers have both significantly lower incomes and significantly lower likelihood of being employed. Our results indicate that education should be geared towards ensuring flexibility in the students’ occupational choices.
Conclusion
Using a recently made available data on incomes we analyze how a range of household, individual and educational factors affects incomes. We find that the data for India show similar patterns as found for other countries, however the quantum differs. The key results are as follows:
Non-education characteristics
Individuals from SC and ST households are likely to have about 10 percent lower incomes than those from non-SC/ST households everything else remaining the same.
Women’s incomes are likely to be about a third lower than males having the same household and educational characteristics. They are also much more likely to be unemployed than males.
Those who are currently married are likely to have higher incomes and higher likelihood of being employed. Other results also indicate an interesting association between the marriage and labour markets.
Knowledge of the English language has a significant impact on incomes. Incomes of those who have knowledge of the language are between 18 to 22 percent higher depending upon whether they can merely understand or converse in it.
We also find that occupation effects are highly significant and explain a significant part of the income variations.
Education characteristics
Compared to illiterates those who have completed primary have 50% greater incomes, those who have completed middle school have incomes greater by 75%, those who have completed schooling have incomes greater by 172%, graduates by 278% and professional courses by 356%
After correcting for household and individual characteristics and state effects, compared to illiterates those who have completed primary have 31% greater incomes, those who have completed middle school by 45%, those who have completed schooling by 89%, graduates by 136% and professionals by 171%
After also including fixed occupation effects, compared to illiterates those who have completed primary have incomes greater by 15%, those who have completed middle school by 21%, those who have completed schooling by 42%, graduates by 69% and professional courses by 97%.
In other words, we find that the returns to greater education increase significantly as the level of education increases. This would be fine if the returns at the lowest level were high. However that is not the case and may be an important reason behind the high drop out rate. We also find evidence that there are significant rigidities in the labour market in the sense that household and occupational factors explain much of the variance in incomes. With greater education one may be able to break these rigidities, however, that requires children to remain in school.
For educational policy the message is quite clear: Quality of delivery, and content that enables flexibility in later occupational choice. This will ensure that rational children can expect to gain from the benefits of formal education, and therefore also remain in school longer.
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...StatsCommunications
Métricas que Marcan la Diferencia: Uso de los Indicadores de Bienestar y del Desarrollo Sostenible en América Latina y el Caribe/Metrics that Make a Difference: Policy Uses of Well-being and Sustainable Development Indicators in Latin America and the Caribbean, 23-24 October 2019, Bogotá, Colombia. More information at: www.oecd.org/statistics/lac-well-being-metrics.htm
Presentation by Stefano Scarpetta, OECD Director for Employment, Labour and Social Affairs during the meeting of the OECD Global Parliamentary Network on 2 October 2014.
The OECD supports the G20 employment track by reviewing labour market and social developments in G20 countries and highlighting the key policy challenges, as well as by identifying good practices in G20 countries and policy options for a more inclusive labour market tailored to the specific conditions of each country. The OECD has provided extensive support to the G20 Task Force on Employment, notably by contributing to the identification of concrete commitments in the context of the country employment plans, which will feed into the G20 national growth strategies. This includes recommendations on actions to promote a more gender-balanced economy, safer workplaces as well as on policies to tackle structural unemployment and under-employment in low productivity and low paid jobs.
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
PowerPoint by Ms. Gabriela Ramos, OECD Chief of Staff, G20 Sherpa, and Special Counsellor to the Secretary-General, Skills Summit 2018, Porto.
SSESSION 1: UNDERSTAND – Risks and opportunities in a digital world: the changing landscape of skills needs
Objective: Build a common understanding of how the digital revolution transforms economies and societies, how the skills that people need in everyday life and in the workplace are changing, and which groups of the population are most at risk of being left behind