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Is closing the agricultural yield gap a “risky” endeavor?

Author

Listed:
  • Gatti, Nicolas
  • Cecil, Michael
  • Baylis, Kathy
  • Estes, Lyndon
  • Blekking, Jordan
  • Heckelei, Thomas
  • Vergopolan, Noemi
  • Evans, Tom

Abstract

Sub-Saharan Africa (SSA) has the climatic and biophysical potential to grow the crops it needs to meet rapidly growing food demand; however, agricultural productivity remains low. While potential maize yields in Zambia are 9 t per hectare (t/ha), the average farmer produces only 1–2.

Suggested Citation

  • Gatti, Nicolas & Cecil, Michael & Baylis, Kathy & Estes, Lyndon & Blekking, Jordan & Heckelei, Thomas & Vergopolan, Noemi & Evans, Tom, 2023. "Is closing the agricultural yield gap a “risky” endeavor?," Agricultural Systems, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:agisys:v:208:y:2023:i:c:s0308521x23000628
    DOI: 10.1016/j.agsy.2023.103657
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    References listed on IDEAS

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    1. Kyle Emerick & Alain de Janvry & Elisabeth Sadoulet & Manzoor H. Dar, 2016. "Technological Innovations, Downside Risk, and the Modernization of Agriculture," American Economic Review, American Economic Association, vol. 106(6), pages 1537-1561, June.
    2. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    3. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-328, July.
    4. Dean Karlan & Robert Osei & Isaac Osei-Akoto & Christopher Udry, 2014. "Agricultural Decisions after Relaxing Credit and Risk Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 597-652.
    5. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    6. Binswanger, Hans P, 1981. "Attitudes toward Risk: Theoretical Implications of an Experiment in Rural India," Economic Journal, Royal Economic Society, vol. 91(364), pages 867-890, December.
    7. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    8. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    9. Moschini, Giancarlo & Hennessy, David A., 2001. "Uncertainty, risk aversion, and risk management for agricultural producers," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 2, pages 88-153, Elsevier.
    10. van Dijk, Michiel & Morley, Tom & Jongeneel, Roel & van Ittersum, Martin & Reidsma, Pytrik & Ruben, Ruerd, 2017. "Disentangling agronomic and economic yield gaps: An integrated framework and application," Agricultural Systems, Elsevier, vol. 154(C), pages 90-99.
    11. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    12. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    13. Berber Kramer & Peter Hazell & Harold Alderman & Francisco Ceballos & Neha Kumar & Anne G. Timu, 2022. "Is Agricultural Insurance Fulfilling Its Promise for the Developing World? A Review of Recent Evidence," Annual Review of Resource Economics, Annual Reviews, vol. 14(1), pages 291-311, October.
    14. Schoemaker, Paul J H, 1982. "The Expected Utility Model: Its Variants, Purposes, Evidence and Limitations," Journal of Economic Literature, American Economic Association, vol. 20(2), pages 529-563, June.
    15. Kenneth G. Cassman & Patricio Grassini, 2020. "A global perspective on sustainable intensification research," Nature Sustainability, Nature, vol. 3(4), pages 262-268, April.
    16. Stein T. Holden, 2019. "Economics of Farm Input Subsidies in Africa," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 501-522, October.
    17. Satyasai, K.J.S. & Pereira, Christine, 2019. "Can better market access lead to higher incomes for farmers?," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 32(Conferenc), December.
    18. Meha Jain & Balwinder-Singh & Preeti Rao & Amit K. Srivastava & Shishpal Poonia & Jennifer Blesh & George Azzari & Andrew J. McDonald & David B. Lobell, 2019. "The impact of agricultural interventions can be doubled by using satellite data," Nature Sustainability, Nature, vol. 2(10), pages 931-934, October.
    19. Mason, Nicole M. & Kuteya, Auckland & Ngoma, Hambulo & Tossou, Dagbegnon A. & Baylis, Katharine R., 2020. "Does Shifting to a Flexible E-Voucher Approach Improve Input Subsidy Program Outcomes? Quasi- Experimental Evidence from Zambia's Crop Forecast Surveys," Feed the Future Innovation Lab for Food Security Policy Research Papers 303525, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    20. John K. Horowitz & Erik Lichtenberg, 1993. "Insurance, Moral Hazard, and Chemical Use in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 926-935.
    21. Timothy D. Searchinger & Lyndon Estes & Philip K. Thornton & Tim Beringer & An Notenbaert & Daniel Rubenstein & Ralph Heimlich & Rachel Licker & Mario Herrero, 2015. "High carbon and biodiversity costs from converting Africa’s wet savannahs to cropland," Nature Climate Change, Nature, vol. 5(5), pages 481-486, May.
    22. Tang, Lin & Luo, Xiaofeng, 2021. "Can agricultural insurance encourage farmers to apply biological pesticides? Evidence from rural China," Food Policy, Elsevier, vol. 105(C).
    23. Loehman, Edna T. & Nelson, Carl H., 1992. "Optimal Risk Management, Risk Aversion, And Production Function Properties," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(2), pages 1-13, December.
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