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A worldwide analysis of trend in crop yields and yield variability: Evidence from FAO data

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  • Arata, Linda
  • Fabrizi, Enrico
  • Sckokai, Paolo

Abstract

The trend in crop yields and yield variability affects food security and impact agricultural and food policies. Recent studies in this area have either focused only on one country or performed global analysis on a handful of crops. We provide the first worldwide analysis of trend and variability for 8088 country-crop yield series taken from the FAO database, employing a robust estimator to cope with the adverse statistical effects of outliers. More than half of the series display a slowdown in yield growth due to a closing of the gap between realised and attainable yields as well as to agricultural policies promoting more sustainable agricultural practices. Around one fourth of the series show also an increase in yield variability as a consequence of climate change and changes in farm management practices. Yield variability is highest in Eastern Europe, Central Asia and Middle East and North Africa, where food security may be threatened.

Suggested Citation

  • Arata, Linda & Fabrizi, Enrico & Sckokai, Paolo, 2020. "A worldwide analysis of trend in crop yields and yield variability: Evidence from FAO data," Economic Modelling, Elsevier, vol. 90(C), pages 190-208.
  • Handle: RePEc:eee:ecmode:v:90:y:2020:i:c:p:190-208
    DOI: 10.1016/j.econmod.2020.05.006
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    as
    1. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    2. 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.
    3. Bruce J. Sherrick & Fabio C. Zanini & Gary D. Schnitkey & Scott H. Irwin, 2004. "Crop Insurance Valuation under Alternative Yield Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 406-419.
    4. Reimer, Jeffrey J. & Li, Man, 2009. "Yield Variability and Agricultural Trade," Agricultural and Resource Economics Review, Cambridge University Press, vol. 38(2), pages 258-270, October.
    5. Jochen Hartwig & Jan-Egbert Sturm, 2014. "Robust determinants of health care expenditure growth," Applied Economics, Taylor & Francis Journals, vol. 46(36), pages 4455-4474, December.
    6. john M. Antle, 2010. "Asymmetry, Partial Moments, and Production Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1294-1309.
    7. Deepak K. Ray & Navin Ramankutty & Nathaniel D. Mueller & Paul C. West & Jonathan A. Foley, 2012. "Recent patterns of crop yield growth and stagnation," Nature Communications, Nature, vol. 3(1), pages 1-7, January.
    8. Ant Afonso & João Tovar Jalles, 2014. "Fiscal composition and long-term growth," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 349-358, January.
    9. Afonso, António & Jalles, João Tovar, 2013. "Growth and productivity: The role of government debt," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 384-407.
    10. Murat Isik & Stephen Devadoss, 2006. "An analysis of the impact of climate change on crop yields and yield variability," Applied Economics, Taylor & Francis Journals, vol. 38(7), pages 835-844.
    11. Robert Finger, 2010. "Revisiting the Evaluation of Robust Regression Techniques for Crop Yield Data Detrending," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 205-211.
    12. Montaud, Jean-Marc & Pecastaing, Nicolas & Tankari, Mahamadou, 2017. "Potential socio-economic implications of future climate change and variability for Nigerien agriculture: A countrywide dynamic CGE-Microsimulation analysis," Economic Modelling, Elsevier, vol. 63(C), pages 128-142.
    13. Ardian Harri & Cumhur Erdem & Keith H. Coble & Thomas O. Knight, 2009. "Crop Yield Distributions: A Reconciliation of Previous Research and Statistical Tests for Normality," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(1), pages 163-182.
    14. Douglas M. Hawkins, 1980. "Critical Values for Identifying Outliers," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 95-96, March.
    15. Ang, James B. & Gupta, Satyendra Kumar, 2018. "Agricultural yield and conflict," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 397-417.
    16. Carsten Colombier, 2018. "Population ageing in healthcare – a minor issue? Evidence from Switzerland," Applied Economics, Taylor & Francis Journals, vol. 50(15), pages 1746-1760, March.
    17. Montaud, Jean-Marc & Pecastaing, Nicolas & Tankari, Mahamadou, 2017. "Potential socio-economic implications of future climate change and variability for Nigerien agriculture: A countrywide dynamic CGE-Microsimulation analysis," Economic Modelling, Elsevier, vol. 63(C), pages 128-142.
    18. Finger, Robert, 2010. "Evidence of slowing yield growth - The example of Swiss cereal yields," Food Policy, Elsevier, vol. 35(2), pages 175-182, April.
    19. Robert Finger, 2013. "Investigating the performance of different estimation techniques for crop yield data analysis in crop insurance applications," Agricultural Economics, International Association of Agricultural Economists, vol. 44(2), pages 217-230, March.
    20. Deepak K. Ray & James S. Gerber & Graham K. MacDonald & Paul C. West, 2015. "Climate variation explains a third of global crop yield variability," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
    21. Scott M. Swinton & Robert P. King, 1991. "Evaluating Robust Regression Techniques for Detrending Crop Yield Data with Nonnormal Errors," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 446-451.
    22. A. J. Challinor & J. Watson & D. B. Lobell & S. M. Howden & D. R. Smith & N. Chhetri, 2014. "A meta-analysis of crop yield under climate change and adaptation," Nature Climate Change, Nature, vol. 4(4), pages 287-291, April.
    23. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    24. Ardian Harri & Keith H. Coble & Alan P. Ker & Barry J. Goodwin, 2011. "Relaxing Heteroscedasticity Assumptions in Area-Yield Crop Insurance Rating," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 703-713.
    25. C. Colombier, 2009. "Growth effects of fiscal policies: an application of robust modified M-estimator," Applied Economics, Taylor & Francis Journals, vol. 41(7), pages 899-912.
    26. Barry K. Goodwin & Alan P. Ker, 1998. "Nonparametric Estimation of Crop Yield Distributions: Implications for Rating Group-Risk Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 139-153.
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    More about this item

    Keywords

    Crop yield trend; Crop yield variability; Food security; MM robust Estimator;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General

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