Financial Markets, Investment and Productivity in Agriculture - - PowerPoint PPT Presentation

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Financial Markets, Investment and Productivity in Agriculture - - PowerPoint PPT Presentation

Financial Markets, Investment and Productivity in Agriculture Christopher Udry Yale University Root of rural poverty is low agricultural productivity i. Yields mostly stagnant, improving recently, ag output/ag population not moving, output


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Financial Markets, Investment and Productivity in Agriculture

Christopher Udry

Yale University

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SLIDE 2

Root of rural poverty is low agricultural productivity

i. Yields mostly stagnant, improving recently, ag output/ag population not moving, output growth generated by extensification ii. Irrigation essentially does not exist iii. Fertilizer use: north America 200 kg/ha; Africa 20 kg/ha

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Start with a simple question

  • Why is fertilizer use so low?
  • This is not the essential question, but perhaps

can be answered

  • Prices are high (infrastructure, pop density)
  • But, even at market prices, use appears to be

profitable

  • Looks uniform
  • Ask people
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SLIDE 4

Despite consistent responses

  • 1. Barriers are dramatically different across

countries

  • 2. Even within communities, heterogeneity

is a key feature

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SLIDE 5

Credit Policy Lessons Preview

  • Credit constraints rarely the primary

barrier to improving farm profitability

  • Take-up of credit is often low

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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SLIDE 6

How might credit market constraints affect technology adoption?

  • Farmers don’t have cash to cover

the upfront costs of adoption

  • Farmers don’t have collateral to

back a loan

  • Farmers don’t have financial

literacy needed to use credit

  • There is no credit available
  • Farmers struggle to save income

from one harvest to the next

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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SLIDE 7

Does improving access to credit help?

  • Access to financial products can affect

agricultural activity:

  • Switching to higher-value crops
  •  crop-related expenditures
  •  fertilizer use

Ashraf et al. 2009; Crepon et al. 2013; Tarozzi et al. 2013; Beaman et al. 2014; Karlan et al. 2013; Carter et al. 2013; Osei et

  • al. nd

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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SLIDE 8
  • But in most cases, access to credit has no

effect on farm profits

  • I will discuss 3 cases

Ashraf et al. 2009; Crepon et al. 2011; Karlan et al. 2013

Does improving access to credit help?

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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SLIDE 9
  • 1. Capital constraints in Ghana?

MiDA agriculture program in Ghana takes

  • ff from this.
  • 5 years (2007-12), >$60 million
  • 30 hours of agronomic training to almost

70,000 farmers

  • $230 “starter pack” of seed + fertilizer
  • Randomized roll-out to FBOs
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Osei, Osei-Akoto and Udry (2013) use the randomization in the program to show that

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Osei, Osei-Akoto and Udry (2013) use the randomization in the program to show that … little changed

  • Small increases in input use (less than the value of

the ‘starter pack’)

  • Nothing observed on yields, output, income, welfare
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Credit is not the only constraint

  • Increasing access to credit alone rarely

improves farmer income

Karlan et al 2013

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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Credit is not the only constraint

  • Increasing access to credit alone rarely

improves farmer income

  • 2. Credit and the poor:

Maize Farmers in the Northern Region (Karlan, Osei, Osei-Akoto and Udry)

  • Uninsured risk is often the binding

constraint

Karlan et al 2013

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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Credit is not the only constraint

  • Increasing access to credit alone rarely

improves farmer income

  • 2. Credit and the poor:

Maize Farmers in the Northern Region (Karlan, Osei, Osei-Akoto and Udry)

  • Uninsured risk is often the binding

constraint Insurance … Cash… Insurance+Cash...Control

Karlan et al 2013

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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.2 .4 .6 .8 1 1000 2000 3000 4000 Control Insurance

p-value of KSM test of equality of distributions= .05

CDF of Total Costs

.2 .4 .6 .8 1 1000 2000 3000 4000 Control Capital

p-value of KSM test of equality of distributions= .21

CDF of Total Costs

.2 .4 .6 .8 1 1000 2000 3000 4000 Control Both

p-value of KSM test of equality of distributions= .07

CDF of Total Costs

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SLIDE 16

.2 .4 .6 .8 1 1000 2000 3000 4000 Control Insurance

p-value of KSM test of equality of distributions= .05

CDF of Total Costs

.2 .4 .6 .8 1 1000 2000 3000 4000 Control Capital

p-value of KSM test of equality of distributions= .21

CDF of Total Costs

.2 .4 .6 .8 1 1000 2000 3000 4000 Control Both

p-value of KSM test of equality of distributions= .07

CDF of Total Costs

Innovations for Poverty Action Ghana Agricultural Insurance Programme

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SLIDE 17

Take up of credit is low

Carter et al 2013; Banerjee et al. 2013; Beaman et al. 2014

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

Only half the farmers took up vouchers for fertilizers and seeds in Mozambique

½

Only 30% of eligible households borrow from MFIs

30%

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  • 3. Even in one place, households

face varied constraints

  • Mali (Beaman, Karlan, Thuysbaert, Udry

2014)

The most productive farmers are more likely to borrow

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SLIDE 19
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300 310 320 330 340 350 360 370 380

control grant in no-loan village grant to non- borrowers in loan village Annual Farm Profits

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Summary: Policy Lessons

  • Credit constraints are not a primary

barrier to increasing farm profitability.

  • Take-up of credit is often low, suggesting

that other constraints play an important role

  • In some cases, agricultural activity and

profits increase when access to capital is improved

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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Summary: Policy Lessons

  • There is evidence of positive selection into

borrowing: high marginal productivity farmers who are credit constrained borrow

 Policy Lessons Preview  Credit Market Inefficiencies  Emerging Lessons  ATAI Projects  Summary

About Credit Information Risk Input/Outputs

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Resources

atai-research.org

International Growth Centre

www.theigc.org

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References

  • Ashraf, N., Giné, X., & Karlan, D. (2009). Finding missing markets (and a disturbing epilogue): Evidence

from an export crop adoption and marketing intervention in Kenya. American Journal of Agricultural Economics, 91(4), 973-990.

  • Ashraf, N., Karlan, D., & Yin, W. (2006). Tying Odysseus to the mast: Evidence from a commitment

savings product in the Philippines. The Quarterly Journal of Economics, 121(2), 635-672.

  • Augsburg, Britta, Ralph de Haas, Heike Harmgart, and Costas Meghir. 2012. Microfinance at the Margin:

Experimental Evidence from Bosnia and Herzegovina. Working Paper, September.

  • Banerjee, A., Duflo, E., Glennerster, R., & Kinnan, C. (2013). The miracle of microfinance? Evidence from

a randomized evaluation. (No. w18950). National Bureau of Economic Research.

  • Beaman, L., Karlan, D., Thuysbaert, B., & Udry, C. (2014). Self-Selection into Credit Markets: Evidence

from Agriculture in Mali.

  • Burke, M., & Miguel, T. (2013). Selling low and buying high: An arbitrage puzzle in Kenyan villages.
  • Carter, M. R., Laajaj, R., & Yang, D. (2013). The Impact of Voucher Coupons on the Uptake of Fertilizer

and Improved Seeds: Evidence from a Randomized Trial in Mozambique. American Journal of Agricultural Economics, 95(5), 1345-1351.

  • Crépon, B., Devoto, F., Duflo, E., & Pariente, W. (2014). Estimating the impact of microcredit on those

who take it up: Evidence from a randomized experiment in Morocco. Working Paper.

  • De Janvry, A., McIntosh, C., & Sadoulet, E. (2010). The supply-and demand-side impacts of credit market
  • information. Journal of Development Economics,93(2), 173-188.
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SLIDE 25

References

  • Duflo, E., Kremer, M., & Robinson, J. (2009). Nudging farmers to use fertilizer: Theory and experimental

evidence from Kenya (No. w15131). National Bureau of Economic Research.

  • Field, Erica, Rohini Pande, John Papp, and Natalia Rigol. 2013. Does the Classic Microfinance Model

Discourage Entrepreneurship Among the Poor? Experimental Evidence from India. American Economic Review 103 (6): 2196–2226.

  • Giné, X., Goldberg, J., Silverman, D., & Yang, D. (2012). Revising commitments: Field evidence on the

adjustment of prior choices. (No. w18065). National Bureau of Economic Research.

  • Giné, X., Goldberg, J., & Yang, D. (2010). Identification strategy: A field experiment on dynamic

incentives in rural credit markets.

  • Gine, X., Karlan, D., & Ngatia, M. (2011). Social networks, financial literacy and index insurance. Mimeo.
  • Karlan, D., Osei, R. D., Osei-Akoto, I., & Udry, C. (2012). Agricultural decisions after relaxing credit and

risk constraints. (No. w18463). National Bureau of Economic Research.

  • Kaboski, Joseph P, and Robert M Townsend. (2011). A Structural Evaluation of a Large-Scale Quasi-

Experimental Microfinance Initiative. Econometrica 79 (5): 1357–1406

  • Kaboski, Joseph P., and Robert M. Townsend. The impact of credit on village economies. American

economic journal. Applied economics 4.2 (2012): 98.

  • Matsumoto, T., Yamano, T., & Sserunkuuma, D. (2013). Technology adoption in agriculture: evidence

from experimental intervention in maize production in Uganda. In An African Green Revolution (pp. 261- 278). Springer Netherlands.

  • Osei, R., Osei-Akoto, I., and C. Udry (2013). The Importance of Farmer Training in changing the

Subsistence Nature of Agriculture: The Case of MCA-Ghana Programme”

  • Tarozzi, A., Desai, J., & Johnson, K. (2013). On the impact of microcredit: Evidence from a randomized

intervention in rural Ethiopia.