The effects of climate change on African agricultural productivity growth revisited

Abstract

This paper analyzes the effects of climate change on African agricultural total factor productivity (TFP) growth and test whether agricultural TFP levels are converging in the region. The study uses cross-country balanced panel data covering 35 countries from 1981 to 2010 and a technological catching-up model based on the Ricardian analysis estimated by Feasible Generalized Least Square (FGLS) regression. Historical country-wide rainfall and temperature are climate factors included in the model. Education, capital intensity, and arable land equipped with irrigation are other potential confounding variables in the regression. The empirical results show that levels of African agricultural TFP are converging over time, though the rate of convergence appears relatively slow in the region. We also find that rain significantly increases agricultural TFP growth, but temperature does not affect the study’s African agricultural TFP growth. Other results show that education, capital intensity, and arable land equipped with irrigation significantly increased agricultural TFP growth.

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Data availability

The data will be made available upon request from the lead author.

Notes

  1. 1.

    Term climate change in this paper refers to a change in the mean of temperature and rainfall for an extended period.

  2. 2.

    Although many studies have attempted to explore the effects of climate change on agricultural production or productivity for individual African countries or micro-level analysis (see Amare et al. 2018; Ochieng et al. 2016), the present study focuses on African context as a whole or macro-level analysis.

  3. 3.

    The countries included in the sample are Angola, Benin, Botswana, Burkina-Faso, Burundi, Cameroon, Chad, Cote’d’ Ivoire, Ethiopia, Gabon, Guinea, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia, Niger, Nigeria, Rwanda, Senegal, Sierra Leone, South Africa, Swaziland, Tanzania, Togo, Uganda, Zambia, and Zimbabwe.

  4. 4.

    The data that support the findings of this study are available from the corresponding author upon reasonable request.

  5. 5.

    Beta-convergence does not necessarily mean sigma-convergence, but they are complementary.

  6. 6.

    Sigma-convergence has always been estimated using the absolute convergence framework.

  7. 7.

    We also estimate the unconditional or absolute beta-convergence in the study presented in model 1 of Table 3.

  8. 8.

    We follow Barrios et al. (2010) and Chieng et al. (2016) to specify the average long-run temperature and rainfall over 5- and 10-year intervals in time t-5 and t-10 to t, respectively. Abidoye and Abidoye and Odusola (2015) also used 5-year intervals to capture climate change in their study. All of these studies focus on Africa.

  9. 9.

    A similar approach has been used by Ball et al. (2014) and Ogundari and Aromolaran (2017) for cross-state and cross-country data analyses, respectively.

  10. 10.

    The estimated unconditional or absolute beta-convergence in model 1 is similar to Eq. 1A.

  11. 11.

    Lusigi et al. (1998) is the only known cross-country study that test the convergence hypothesis in African TFP.

  12. 12.

    Using model 4 of Table 3 as an example, convergence speed is equivalent to 1.1% (i.e., 0. 0106×100).

  13. 13.

    Martin and Mitra (2001) found strong evidence of a rapid convergence in levels and growth rates of TFP in agriculture as a result of the international dissemination of innovation.

References

  1. Abidoye BO, Odusola AF (2015) Climate change and economic growth in Africa: an econometric analysis. J Afr Econ 24(2):277–301

    Article  Google Scholar 

  2. Abraha K. G and H. L. Gårn (2014): The effect of climate change and adaptation policy on agricultural production in Eastern Africa, IFRO Working Paper, No. 2014/08, University of Copenhagen, Department of Food and Resource Economics (IFRO), Copenhagen.

  3. Alene AD (2010) Productivity growth and the effects of R&D in African agriculture. Agric Econ 41:223–238

    Article  Google Scholar 

  4. Allen, S. L, and M. Qaim (2012). Agricultural productivity and public expenditure in sub-Saharan Africa. IFPRI Discussion paper 01173 Washington DC.

  5. Amare M, Jensen ND, Shiferaw B, Cisse JD (2018) Rainfall shocks and agricultural productivity: implication for rural household consumption. Agric Syst 166:79–89

    Article  Google Scholar 

  6. Angulo AM, Gil JM, Gracia A (2001) Calorie intake and income elasticities in E.U. countries: a convergence analysis using cointegration. Pap Reg Sci 80(2):165–187

    Article  Google Scholar 

  7. Awokuse TO, Xie R (2015) Does agriculture matter for economic growth in developing countries? Can J Agric Econ 63:77–99

    Article  Google Scholar 

  8. Ball VE, Bureau J-C, Butault J-P, Nehring R (2001) Levels of farm sector productivity; an international comparison. J Prod Anal 15:5–29

    Article  Google Scholar 

  9. Ball VE, San-Juan-Mesonada C, Ulloa CA (2014) State productivity growth in agriculture: catching-up and the business cycle. J Prod Anal 42:327–338

    Article  Google Scholar 

  10. Baltagi B (2005) Econometric analyses of panel data, 3rd edn. IE Wiley, England

    Google Scholar 

  11. Barath L, Ferto I (2017) Productivity and convergence in European Agriculture. J Agric Econ 68(1):228–248

    Article  Google Scholar 

  12. Barrios S, Outtara B, Strobl E (2008) The impact of climate change on agricultural production: is it different for Africa? Food Policy 33:287–298

    Article  Google Scholar 

  13. Barrios S, Bertinelli L, Strobl E (2010) Trend in rainfall ad economic growth in Africa: a neglected cause of the African growth tragedy. Rev Econ Stat 92(2):287–298

    Article  Google Scholar 

  14. Barro RJ, Lee JW (2013) A new dataset of educational attainment in the Worlds, 1950-2010. J Dev Econ 104:184–198

    Article  Google Scholar 

  15. Bassanini, A., Scarpetta, S. and Hemmings, P. (2001), "Economic growth: the role of policies and institutions: panel data. Evidence from OECD countries", OECD Economics Department Working Paper No. 283, OECD Publishing, Paris, available at doi:https://doi.org/10.1787/722675213381 (accessed February 8, 2015).

  16. Benson C, Clay E (1998) The impact of drought on sub-Sharan Economics, World Bank Technical Paper. No. World Bank, Washington. D.C, p 401

    Google Scholar 

  17. Beugelsdik S, Klasing MJ, Milionis P (2018) Regional economic development in Europe: the role of total factor productivity. Reg Stud 52(4):461–476

    Article  Google Scholar 

  18. Block, S (2010). The decline and rise of agricultural productivity in sub-Saharan Africa since 1961. NBER Working paper series No. 16481. http://www.nber.org/papers/w16481.

  19. Borkowski B, Duke H, Szozesny W (2009) Food consumption convergence within Europe: a panel data analysis. Pol J Environ Stud 18(5B):41–47

    Google Scholar 

  20. Cechura, L., A. Grau, H. Hochmann, I. Levkovych, and Z. Kroupova (2014). Catching up or falling behind in Eastern European Agriculture- the case of milk production. Paper presented at the 142nd EAAE Seminar Growing Success? Agriculture and Rural Development in an Enlarged E.U. Corvinus University of Budapest, Hungary.

  21. Cong R-G, Brady M (2012) The interdependence between rainfall and temperature: copula analyses. Sci World J 2012:405675. https://doi.org/10.1100/2012/405675

    Article  Google Scholar 

  22. CTA (2012). Technical Centre for Agriculture (CTA)’s Policy Brief. Number 4 February 2012. Wageningen, The Netherlands

  23. Exenberger, A., A. Pondorfer, and M. H. Wolters (2014). Estimating the impact of climate change on agricultural production: accounting for technology heterogeneity across countries. Kiel Working Paper No. 1920. Kiel Institute for the World Economy, Kiel Germany.

  24. FAOSTAT (2018). Food and Agriculture Organization Corporate Statistical Database. Available at: www.faostat.fao.org(accessed, September 2018)

  25. Fuglie KO (2012) Productivity growth and technology capital in the global agricultural economy. In: Fuglie K, Wang SL, Ball VE (eds) Productivity growth in agriculture: an international perspective. CAB International, Wallingford, pp 335–368

    Google Scholar 

  26. Fuglie K. O and N. E. Rada ( 2013). Resources, policies, and agricultural productivity in sub-Saharan Africa. Economic Research Report No. 145, Washington, DC.

  27. Fuglie, K, and S. L. Wang (2012). Productivity growth in global agriculture shifting to developing countries. Choices, 4th Quarter 2794): 7 pages.

  28. Fulginiti LE (2010) What comes first, agricultural growth or democracy? Agric Econ 41:15–24

    Article  Google Scholar 

  29. Gutierrez L (1999). Agricultural productivity growth and convergence among countries. Cahiers d’economie et sociologie rurales, No. 537-25.

  30. Hall RE, Jones CI (1999) Why countries produce so much more output than others? Q J Econ qq4:83–116

    Article  Google Scholar 

  31. Hausman. J. A (1978). Specification test in econometrics, Vol. 46(6): 1251-1271.

  32. Headey D (2013) Developmental drivers of nutritional change: a cross-country analysis. World Dev 42(2):76–88

    Article  Google Scholar 

  33. IPPC (2007). Intergovernmental Panel on Climate Change reported tiled “climate change 2001: impacts, adaption, and vulnerability-contribution of working group II to the third assessment”.

  34. Ito T, Kurosaki T (2009) Weather risk, wages in kind, and the off-farm labor supply of agricultural households in a developing country. Am J Agric Econ 91(3):697–710

    Article  Google Scholar 

  35. Kotir JH (2011) Climate change and variability in sub-Saharan Africa: a review of current and future trends and impacts on agriculture and food security. Environ Dev Sustain 13(3):587–605

    Article  Google Scholar 

  36. Lichtenberg FR (1994) Testing the convergence hypothesis. Rev Econ Stat 76(3):576–782

    Article  Google Scholar 

  37. Liu Y, Shumway CR, Rosenman R, Ball VE (2011) Productivity growth and convergence in U.S. Agriculture: new cointegration panel data result. Appl Econ 43:91–102

    CAS  Article  Google Scholar 

  38. Lusigi A, Thirtle C (1997) Total factor productivity and the effects of R&D in African Agriculture. J Int Dev 9(4):529–538

    Article  Google Scholar 

  39. Lusigi A, Piesse J, Thirtle C (1998) Convergence of per capita income and agricultural productivity in Africa. J Int Dev 10(1):105–115

    Article  Google Scholar 

  40. Martin W, Mitra D (2001) Productivity growth and convergence in agriculture versus manufacturing. Econ Dev Cult Chang 49:403–422

  41. Mozumdar L (2012) Agricultural productivity and food security in the developing world. Bangladesh J Agric Econ XXXV(1&2):53–69

    Google Scholar 

  42. Nicholson SE (2001) Climatic and environmental changes in Africa during the last two centuries. Clim Res 17:123–144

    Article  Google Scholar 

  43. Nin-Pratte A (2015). Inputs, productivity, and agricultural productivity in Africa south of Saharan. IFPRI Discussion paper No. 01432, Washington DC.

  44. Nkamleu G (2004) Productivity growth, technical progress, and efficiency change in African agriculture. Afr Dev Rev 16(1):203–222

    Article  Google Scholar 

  45. Ochieng J, Kirimi L, Mathenge M (2016) Effects of climate variability and change on agricultural production: the case of small-scale farmers in Kenya. NJAS-Wageningen J Life Sci 77:71–78

    Article  Google Scholar 

  46. Ogundari K (2014) The paradigm of agricultural efficiency and its implication on food security in Africa: what does meta-analysis reveal? World Dev 64:690–702

    Article  Google Scholar 

  47. Ogundari K, Aromolaran AB (2017) Nutrition and economic growth in sub-Saharan African: a causality test using panel data. Int J Dev Issues 6(2):174–189

    Article  Google Scholar 

  48. Ogundari K, Ito S (2015) Convergence and determinants of change in nutrient supply: evidence from sub-Saharan African countries. Br Food J 117(12):2880–2898

    Article  Google Scholar 

  49. Ortiz-Bobea A (2020) The role of nonfarm influences in Ricardian estimates of climate change impact on U.S. Agriculture. Am J Agric Econ 102(3):938–959

    Article  Google Scholar 

  50. Ouyang Y, Shimeles A, Thorbecke E (2019) Revisiting cross-country poverty convergence in the developing world with a special focus on sub-Saharan Africa. World Dev 117:13–38

    Article  Google Scholar 

  51. Paas, T., A. Kuusk, F. Schlitte, and A. Vork (2007), Econometric analysis of income convergence in selected E.U. countries and their Nuts 3 level regions, The University of Tartu Faculty of Economics and Business Administration Working Paper, 60.

  52. Patrick S, Ward, Raymond J.G.M. Florax, and Alfonso Flores-Lagunes (2011). Climate change and agricultural productivity in sub-Saharan African: a spatial sample selection model. Working Paper # 11-4. Dept. of Agricultural Economics at Purdue University.

  53. Philips PCB, Sul D (2007) Transition modeling econometric convergence tests. Econometrics 75(6):1771–1885

    Article  Google Scholar 

  54. POSTnote (2006). Food security in developing countries. Published by Parliamentary Office of Science and Technology, U.K., Issues No. 274.

  55. Rada, N.E., S. Rosen, and J. Beckman (2013). Evaluating agricultural productivity’s impact on food security. Selected paper prepared for presentation at the International Agricultural Trade Research Consortium’s (IATRC’s) 2013 symposium: productivity and its impacts on global trade, June 2-4, 2013 Seville Spain

  56. Ravallion M (2012) Why don’t we see poverty convergence? Am Econ Rev 102(1):504–523

    Article  Google Scholar 

  57. Reimers M, Klasen S (2013) Revisiting the role of education for agricultural productivity. Am J Agric Econ 95(1):131–152

    Article  Google Scholar 

  58. Rezek P, Cambell R, Rogers K (2011) Assessing total factor productivity growth in sub-Saharan African agriculture. J Agric Econ 62:357–374

    Article  Google Scholar 

  59. Rezitis AN (2005) Agricultural productivity convergence across Europe and the United States of America. Appl Econ Lett 12(7):443–446

    Article  Google Scholar 

  60. Romer P (1986) Increasing returns and long-run growth. J Polit Econ 94:1002–1037

    Article  Google Scholar 

  61. Rosen, S., B. Meade, K. Fuglie, and N. Rada (2014). International food security assessment, 2014-2024, GFA-25, U.S. Department of Agriculture, Economic Research Service, June 2014.

  62. Rosenzweig C, Parry M (1994) Potential impact of climate change on World agriculture. Nature 367:133–138

    Article  Google Scholar 

  63. Sala-i-Martin X (1996) The classical approach to convergence analysis. Econ J 106(437):1019–1036

    Article  Google Scholar 

  64. Schlenker W, Hanemann WM, Fisher AC (2005) Will U.S. agriculture really benefit from global warming? Accounting for irrigation in the hedonic approach. Am Econ Rev 95(1):395–406

    Article  Google Scholar 

  65. Solow RM (1956) A contribution to the theory of economic growth. Q J Econ 70(1):65–94

    Article  Google Scholar 

  66. Thirstle C, Piessa J, Lusgi A, Suhariyanto K (2003) Multi-factor agricultural productivity, efficiency, and convergence in Bostwana, 1981-1996. J Dev Econ 71(2):605–624

    Article  Google Scholar 

  67. Timmer MP, Inklaar R, O’Mahony M, Ark v B (2010) Economic growth in Europe: a comparative industry perspective. Cambridge University Press, New York

    Google Scholar 

  68. USDA-ERS (2018). International Agricultural Productivity. https://www.ers.usda.gov/data-products/international-agricultural-productivity/

  69. van der Veen A, Tagel G (2011) Effect of policy interventions on food security in Tigray, northern Ethiopia. Ecol Soc 16(1):18. https://doi.org/10.5751/ES-03895-160118

    Article  Google Scholar 

  70. Wan GH (2005) Convergence in food consumption in rural China: evidence from household survey data. China Econ Rev 16(1):90–102

    Article  Google Scholar 

  71. WDI (2018). World Development Indicators’ Climate Change Knowledge Portal. https://climateknowledgeportal.worldbank.org/download-data

  72. Wooldridge JM (2002) Econometric analysis of cross-section and panel data. MIT Press, Cambridge

    Google Scholar 

  73. World Bank (2007). World Development reports in 2008. Agriculture for development. Washington, DC: World Bank. Available @ DOI:10.1596/978-0-8213.

  74. Wouterse F (2016) Can human capital variables be technology changing? An empirical test for rural households in Burkina Faso. J Prod Anal 45:157–172

    Article  Google Scholar 

  75. Yu, B, and A. Nin-Pratt (2011). Agricultural productivity and policies in sub-Saharan Africa. IFPRI Discussion paper No. 01150 Washington DC.

  76. Zhan J, Tian X, Zhang Y, Yang X, Qu Z, Tan T (2017) The effects of Agricultural R&D on Chinese agricultural productivity growth: new evidence of convergence and implications for agricultural R& D policy. Can J Agric Econ 65(3):453–475

    Article  Google Scholar 

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Acknowledgements

The authors thank the anonymous reviewer for the helpful comments on the earlier version of the manuscript.

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The first author (K.O) retrieves and analyzes the data and prepares the write up for the manuscript. The second author (R.O) checks the results, proofread the document, and provides policy guidance for the write up.

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Correspondence to Kolawole Ogundari.

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Appendix

Appendix

Table 5 Descriptive statistics of variables used in the regression
Table 6 Correlation matrix of the variables
Table 7 IVF and condition index for the variables

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Ogundari, K., Onyeaghala, R. The effects of climate change on African agricultural productivity growth revisited. Environ Sci Pollut Res (2021). https://doi.org/10.1007/s11356-021-12684-5

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Keywords

  • Agriculture
  • Climate change
  • Convergence
  • Total factor productivity
  • Ricardian model
  • Africa