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Webinar by Tewodaj Mogues, International Food Policy Research Institute (IFPRI) on Sept 26, 2017. See abstract here: https://pim.cgiar.org/2017/09/18/webinar-what-determines-public-budgets-for-agricultural-growth-in-the-developing-world/ Fourth webinar in PIM's 2017 series (https://pim.cgiar.org/2017/05/11/pim-monthly-webinars-may-october-2017/)
Lack of access to water for irrigation drives many men in the Ganges basin to migrate for work in the dry season. Women left behind struggle to farm and remittances are insufficient to pull families out of poverty. Could more investment in water management help?
The Emerging “Quiet Revolution” in African Agrifood Systems: Challenges for Mozambique - David Tschirley, Michael Dolislager, Jason Snyder, Thomas Reardon
Presentation at MSU/IFPRI conference on “Agricultural Public Investments, Policies, and Markets for Mozambique’s Food Security and Economic Transformation”, Maputo, Mozambique, 20 November 2014
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Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/economics/23149/determinants-of-income-inequality-among-cooperative-farmers-in-anambra-state/anigbogu-theresa-ukamaka
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Agriculture continues to provide livelihood for about 80% of the labour force despite the trends towards income diversification and urbanization (Bryceson 1999; GoT 2011). The majority of farmers are smallholders who rely on traditional methods in cultivation and livestock-keeping. The average farm size is less than two hectares per household. Since the mid-1980s, the growth in domestic food production has lagged behind the population growth which has been over 2.5% annually. Especially the per capita production of fresh vegetables, roots and tubers has declined while wheat imports have grown manifold (Haapanen, 2011).
Determinants of Income Inequality Among Cooperative Farmers in Anambra Stateijtsrd
This study examines determinants of income inequality among cooperative farmers in Anambra State. The study, modeled variables like farmers efficiency, technology, market proximity, credit obtained, farm size, soil fertility, crop type, input supply and agric extension services using descriptive and inferential statistics. The population of this study was made up of 298 members of selected cooperative societies in Anambra State and a sample of 171 was determined for the study using Taro Yamane formula. A structured questionnaire was administered to 171 respondents but only 115 responded to the questionnaire. The data collected using the questionnaires were analyzed using descriptive and inferential statistics. Findings revealed that apart from market proximity which was not significant, all other factors farmers' efficiency, technology, credit obtained, farm size, soil fertility, crop type, input supply and agric extension services contributed significantly to the farmers' income. This study therefore recommends that The government should carry out a public enlightenment campaign on the potentials of agricultural cooperatives as sustainable approach for reducing income inequality through synergy and emphasis should be placed more on cooperative education as requirement for growth and development since most of the people in the target areas has low educational background. The agricultural cooperative subsector should be adequately financed to help improve the farmers' income and also reduce income inequality. Agricultural technology transfer through extension services should be encouraged to help create awareness and increase adoption of better ways farming so as to increase the farmers' income and reduce income inequality among others. Anigbogu, Theresa Ukamaka | Uzondu, Chikodiri Scholastica ""Determinants of Income Inequality Among Cooperative Farmers in Anambra State"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23149.pdf
Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/economics/23149/determinants-of-income-inequality-among-cooperative-farmers-in-anambra-state/anigbogu-theresa-ukamaka
The Role of agriculture in economic development - in TanzaniaElisha Magolanga
Agriculture continues to provide livelihood for about 80% of the labour force despite the trends towards income diversification and urbanization (Bryceson 1999; GoT 2011). The majority of farmers are smallholders who rely on traditional methods in cultivation and livestock-keeping. The average farm size is less than two hectares per household. Since the mid-1980s, the growth in domestic food production has lagged behind the population growth which has been over 2.5% annually. Especially the per capita production of fresh vegetables, roots and tubers has declined while wheat imports have grown manifold (Haapanen, 2011).
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Presentation made at the launch of the OECD publication Rural well-being: Geography of opportunities on 5 October 2020. Find out more: https://oe.cd/3g4
More about OECD work on rural development: http://www.oecd.org/regional/rural-development/
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Cities and agricultural transformation in Ethiopia
1. ETHIOPIAN DEVELOPMENT
RESEARCH INSTITUTE
Cities and agricultural transformation in
Ethiopia
Joachim Vandercasteelen, Seneshaw Tamru, Bart Minten and Johan Swinnen
IFPRI ESSP
EEA, July 21st, 2011
Addis Ababa, Ethiopia
1
2. 2
1. Introduction
• Agricultural transformation in Africa deemed important but progress
has been slow
• Several hypotheses explaining agricultural transformation:
1. Boserup-hypothesis
2. Induced innovation theorem
3. Market driven intensification
4. 4
1. Introduction
• Some numbers:
- People living in cities in Sub-Saharan Africa increased by 160%
between 1990-2014
- Urban population in Africa expected to triple by 2050 (1.3 billion
people)
• Urbanization important economic impacts, associated with
structural transformation
5. 5
1. Introduction
• Important effects on agriculture and food markets:
1. Urban residents often do not grow own food
2. Urban residents have different diets
3. Urban residents richer and willing to pay more for food
• Most of the literature focused on changes in crops or off-farm
employment
• Relatively little evidence on impacts on staple crops
6. 6
1. Introduction
• Look at the case of Ethiopia and at teff
• Question: “How does proximity to urban centers affect farmers’
agricultural production environment and practices?”
• Important changes in Ethiopia in this area
1996/1997 2010/2011
7. 7
1. Introduction
• Urbanization: 3.7% to 14% between 1984 and 2007
• One quarter of the urban population living in Addis
• In 2012: 17% in cities
• Projections urban population:
- 5.4% annual growth
- Urban population to increase from 15.2 in 2012 to 42.3 million in 2034
- In 2028: 30% of population in cities
8. 8
2. Background on teff
• 23% of total grain area
• Most important crop in value terms in the country (2.5 billion USD in
2013/14)
• Most important cash crop in the country (750 million USD)
• Teff more readily eaten by urban consumers
• High income elasticities
• Rapid growth of cities and income growth leading to increasing
demand for teff
9. 9
3. Methodology
• Stratified random sample in 2012
• 1,200 farmers in five major teff production zones.
• Urban proximity main independent variable; two components: Cost
of transporting teff:
1/ From the farm to the market center
2/ From the market center to the Addis wholesale market (by
truck)
10. 10
4. Non-parametric regressions
- Advantage: No functional form specified in advance
- Local polynomial smoothing estimates
- Do for three major outcomes:
1. Prices
2. Input
3. Intensification
14. 14
5. Multi-variate regression
• Strong effect of urban proximity on:
- Prices
- Use of inputs
- Measures of intensification (land and labor productivity)
- Profits
• No strong effects of population pressure; smaller farms not
associated with higher farm incomes per hectare
• We find overall a strong direct effect (not only through prices)
16. 16
6. Explaining the direct effect
• Channel 2: Monetization of production factors
17. 17
6. Explaining the direct effect
• Channel 3: Access to information and knowledge
18. 18
7. Conclusions
• Link of urban areas with rural hinterland not well understood
• Study agricultural linkages in the case of Ethiopia, where larger share
of the rural population “connected” to a city
• Strong positive effect of urban proximity on:
- Output prices but also on wages and land rental rates
- Input and factor market use
- Labor and land productivity
- Profitability
19. 19
7. Conclusions
• Important effect of prices (“indirect effect”)
• However, other effects matter significantly as well (transaction costs,
knowledge, information) (called “direct effect”)
• Beneficial effect of urbanization on intensification by rural producers
of staple crops
• In contrast to rural population increases (population density
increases)
20. 20
7. Conclusions
• Implications:
1. Ensure appropriate infrastructure and low transportation costs
2. Ensure that cities can grow
3. Ensure that appropriate inputs and knowledge are available