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Agricultural total factor productivity growth, technical efficiency, and climate variability in sub-Saharan Africa

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  • Bannor, Frank
  • Dikgang, Johane
  • Gelo, Dambala

Abstract

Despite continuous reforms and increased spending in the agricultural sector, Africa remains a net food importer. Previous research has argued that agricultural productivity is lower in Africa than in all other parts of the world due to challenging ecological conditions – soil fertility challenges and extreme climate. Increasing the region’s food supply requires significant increases in agricultural productivity, which in turn depends on investment in research and development (R&D). This study examines how climate variability (proxied by rainfall variability) affects agricultural total factor productivity (TFP) of maize in 14 sub-Saharan African countries (SSA). Maize farming in Africa – due to its significance in regional food production, evident climate variability, and the need to significantly increase efficiency – is an ideal region of investigation for climate impacts on maize production. We apply a Data Envelopment Analysis (DEA) on the Malmquist Productivity Index (MPI) to decompose productivity growth into technical efficiency and technological progress. In addition, a single-stage maximum-likelihood estimation of a true fixed effect was used to investigate how climate variability affects maize productivity through technical efficiency. The results show that climate variability has a negative effect on technical efficiency in the agricultural production of maize. Furthermore, increased spending on R&D is required to enhance technical efficiency and productivity.

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  • Bannor, Frank & Dikgang, Johane & Gelo, Dambala, 2021. "Agricultural total factor productivity growth, technical efficiency, and climate variability in sub-Saharan Africa," EconStor Preprints 231310, ZBW - Leibniz Information Centre for Economics.
  • Handle: RePEc:zbw:esprep:231310
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    1. Dercon, Stefan & Christiaensen, Luc, 2011. "Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia," Journal of Development Economics, Elsevier, vol. 96(2), pages 159-173, November.
    2. Fankhauser, Samuel & S.J. Tol, Richard, 2005. "On climate change and economic growth," Resource and Energy Economics, Elsevier, vol. 27(1), pages 1-17, January.
    3. Trong‐Anh Trinh & Alberto Posso & Simon Feeny, 2020. "Child Labor and Rainfall Deviation: Panel Data Evidence from Rural Vietnam," The Developing Economies, Institute of Developing Economies, vol. 58(1), pages 63-76, March.
    4. Masters, William A. & Bedingar, Touba & Oehmke, James F., 1998. "The impact of agricultural research in Africa: aggregate and case study evidence," Agricultural Economics, Blackwell, vol. 19(1-2), pages 81-86, September.
    5. Julia Hall & Grant M Scobie, 2006. "The Role of R&D in Productivity Growth: The Case of Agriculture in New Zealand: 1927 to 2001," Treasury Working Paper Series 06/01, New Zealand Treasury.
    6. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2016. "Impacts of climate change on agriculture: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 105-124.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
    9. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    10. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    11. Yonas Alem & Mintewab Bezabih & Menale Kassie & Precious Zikhali, 2010. "Does fertilizer use respond to rainfall variability? Panel data evidence from Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 41(2), pages 165-175, March.
    12. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    13. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    14. Kelvin Balcombe & Iain Fraser & Laure Latruffe & Mizanur Rahman & Laurence Smith, 2008. "An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming," Applied Economics, Taylor & Francis Journals, vol. 40(15), pages 1919-1925.
    15. Arega D. Alene, 2010. "Productivity growth and the effects of R&D in African agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 223-238, May.
    16. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    17. Ruhul A. Salim & Nazrul Islam, 2010. "Exploring the impact of R&D and climate change on agricultural productivity growth: the case of Western Australia ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 561-582, October.
    18. Wang, Miao & Wong, M. C. Sunny, 2012. "International R&D Transfer and Technical Efficiency: Evidence from Panel Study Using Stochastic Frontier Analysis," World Development, Elsevier, vol. 40(10), pages 1982-1998.
    19. Hurley, Terrance M., 2010. "A review of agricultural production risk in the developing world," Working Papers 188476, HarvestChoice.
    20. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107609464, September.
    21. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    22. Peter Schmidt, 2011. "One-step and two-step estimation in SFA models," Journal of Productivity Analysis, Springer, vol. 36(2), pages 201-203, October.
    23. Adetutu, Morakinyo O. & Ajayi, Victor, 2020. "The impact of domestic and foreign R&D on agricultural productivity in sub-Saharan Africa," World Development, Elsevier, vol. 125(C).
    24. Salvador Barrios & Luisito Bertinelli & Eric Strobl, 2010. "Trends in Rainfall and Economic Growth in Africa: A Neglected Cause of the African Growth Tragedy," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 350-366, May.
    25. Lyu, Syu-Jyun Larry & White, Fred C. & Lu, Yao-Chi, 1984. "Estimating Effects of Agricultural Research and Extension Expenditures on Productivity: A Translog Production Function Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 16(2), pages 1-8, December.
    26. Sanzidur Rahman & Ruhul Salim, 2013. "Six Decades of Total Factor Productivity Change and Sources of Growth in Bangladesh Agriculture (1948–2008)," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 275-294, June.
    27. Marco Letta & Richard S. J. Tol, 2019. "Weather, Climate and Total Factor Productivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 283-305, May.
    28. Jorgenson,Dale W. & Fukao,Kyoji & Timmer,Marcel P. (ed.), 2016. "The World Economy," Cambridge Books, Cambridge University Press, number 9781107143340, October.
    29. Alene, Arega D. & Coulibaly, Ousmane, 2009. "The impact of agricultural research on productivity and poverty in sub-Saharan Africa," Food Policy, Elsevier, vol. 34(2), pages 198-209, April.
    30. Amare, Mulubrhan & Jensen, Nathaniel D. & Shiferaw, Bekele & Cissé, Jennifer Denno, 2018. "Rainfall shocks and agricultural productivity: Implication for rural household consumption," Agricultural Systems, Elsevier, vol. 166(C), pages 79-89.
    31. Juan Sesmero & Jacob Ricker-Gilbert & Aaron Cook, 2018. "How Do African Farm Households Respond to Changes in Current and Past Weather Patterns? A Structural Panel Data Analysis from Malawi," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 115-144.
    32. Lyu, Syu-Jyun Larry & White, Fred C. & Lu, Yao-Chi, 1984. "Estimating Effects Of Agricultural Research And Extension Expenditures On Productivity: A Translog Production Function Approach," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(2), pages 1-8, December.
    33. Fernando Garcia & Jorge Oliveira Pires, 2004. "Productivity of Nations: a stochastic frontier approach to TFP decomposition," Econometric Society 2004 Latin American Meetings 292, Econometric Society.
    34. Fuglie, Keith, 2015. "Accounting for growth in global agriculture," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(3), pages 1-34, December.
    35. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    36. Fulginiti, Lilyan E. & Perrin, Richard K., 1997. "LDC agriculture: Nonparametric Malmquist productivity indexes," Journal of Development Economics, Elsevier, vol. 53(2), pages 373-390, August.
    37. Yiorgos Gadanakis & Francisco Jose Areal, 2018. "Measuring the Impact of Extreme Weather Phenomena on Total Factor Productivity of General Cropping Farms in East Anglia," International Journal of Food and Beverage Manufacturing and Business Models (IJFBMBM), IGI Global, vol. 3(1), pages 1-22, January.
    38. Shujie Yao & Zinan Liu, 1998. "Determinants of Grain Production and Technical Efficiency in China," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(2), pages 171-184, June.
    39. Andersen, Matthew A., 2015. "Public investment in U.S. agricultural R&D and the economic benefits," Food Policy, Elsevier, vol. 51(C), pages 38-43.
    40. Bocchiola, D. & Brunetti, L. & Soncini, A. & Polinelli, F. & Gianinetto, M., 2019. "Impact of climate change on agricultural productivity and food security in the Himalayas: A case study in Nepal," Agricultural Systems, Elsevier, vol. 171(C), pages 113-125.
    41. Maredia, Mywish K. & Byerlee, Derek & Pee, Peter, 2000. "Impacts of food crop improvement research: evidence from sub-Saharan Africa," Food Policy, Elsevier, vol. 25(5), pages 531-559, October.
    42. Jon P. Rezek & Randall C. Campbell & Kevin E. Rogers, 2011. "Assessing Total Factor Productivity Growth in Sub‐Saharan African Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 357-374, June.
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    More about this item

    Keywords

    climate change; data envelopment analysis; maize; total factor productivity; research and development; technical efficiency;
    All these keywords.

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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