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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
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
3
1. Introduction
• Urbanization important new factor
Cities of more than 300,000 people
1975 2000 2025
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
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
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
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
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
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
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
11
4. Non-parametric regressions - prices
12
4. Non-parametric regressions – use of inputs
13
4. Non-parametric regressions – intensification
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)
15
6. Explaining the direct effect
• Channel 1: Transaction costs
16
6. Explaining the direct effect
• Channel 2: Monetization of production factors
17
6. Explaining the direct effect
• Channel 3: Access to information and knowledge
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
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
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

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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
  • 3. 3 1. Introduction • Urbanization important new factor Cities of more than 300,000 people 1975 2000 2025
  • 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
  • 12. 12 4. Non-parametric regressions – use of inputs
  • 13. 13 4. Non-parametric regressions – 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)
  • 15. 15 6. Explaining the direct effect • Channel 1: Transaction costs
  • 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