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Yield growth patterns of food commodities: Insights and challenges

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  • John Baffes
  • Xiaoli Etienne

Abstract

Understanding global food production and productivity patterns is crucial for policy and investment decisions aimed at addressing poverty, food insecurity, and climate change. This paper develops comprehensive calorific-based production and yield indices for 144 crops, covering 98% of global agricultural land and food output. These indices provide standardized measures across various crops and varieties, facilitating comparison of agricultural productivity and consolidating country and regional contributions to global food production. Utilizing a Box-Cox transformation, we find that a linear model best approximates yield growth. Our findings reveal that, at an aggregate level, there has been no discernable slowdown in global yield growth over the past six decades. This translates into an average annual yield increase equivalent to nearly 33 kilograms of wheat per hectare. These results suggest that any observed deceleration in specific commodities, regions, or countries, has been offset by gains in others. While these findings are reassuring from a global food supply perspective, caution is warranted about the sustainability of production and the affordability of food. These concerns are particularly relevant as global food demand increases due to population and income growth, and as the pressures from climate change intensify. The study underscores the importance of adopting strategic and sustainable agricultural practices to ensure continued food security in the face of evolving global challenges.

Suggested Citation

  • John Baffes & Xiaoli Etienne, 2024. "Yield growth patterns of food commodities: Insights and challenges," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-21, November.
  • Handle: RePEc:plo:pone00:0313088
    DOI: 10.1371/journal.pone.0313088
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    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. Douglas Gollin & David Lagakos & Michael E. Waugh, 2014. "Agricultural Productivity Differences across Countries," American Economic Review, American Economic Association, vol. 104(5), pages 165-170, May.
    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. Lucie Michel & David Makowski, 2013. "Comparison of Statistical Models for Analyzing Wheat Yield Time Series," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-11, October.
    5. Rutten, Martine & Shutes, Lindsay & Meijerink, Gerdien, 2013. "Sit down at the ball game: How trade barriers make the world less food secure," Food Policy, Elsevier, vol. 38(C), pages 1-10.
    6. Alejandro Nin-Pratt & Bingxin Yu & Shenggen Fan, 2010. "Comparisons of agricultural productivity growth in China and India," Journal of Productivity Analysis, Springer, vol. 33(3), pages 209-223, June.
    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. Dawit K. Mekonnen & David J. Spielman & Esendugue Greg Fonsah & Jeffrey H. Dorfman, 2015. "Innovation systems and technical efficiency in developing-country agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 46(5), pages 689-702, September.
    9. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    10. Florian Zabel & Ruth Delzeit & Julia M. Schneider & Ralf Seppelt & Wolfram Mauser & Tomáš Václavík, 2019. "Global impacts of future cropland expansion and intensification on agricultural markets and biodiversity," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    11. Bekaert, Geert, 1991. "Caloric Consumption in Industrializing Belgium," The Journal of Economic History, Cambridge University Press, vol. 51(3), pages 633-655, September.
    12. Eugenio Bobenrieth & Brian Wright & Di Zeng, 2013. "Stocks-to-use ratios and prices as indicators of vulnerability to spikes in global cereal markets," Agricultural Economics, International Association of Agricultural Economists, vol. 44(s1), pages 43-52, November.
    13. David Laborde & Abdullah Mamun & Will Martin & Valeria Piñeiro & Rob Vos, 2021. "Agricultural subsidies and global greenhouse gas emissions," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    14. Michael J. Roberts & Wolfram Schlenker, 2009. "World Supply and Demand of Food Commodity Calories," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1235-1242.
    15. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    16. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    17. Finger, Robert, 2010. "Evidence of slowing yield growth - The example of Swiss cereal yields," Food Policy, Elsevier, vol. 35(2), pages 175-182, April.
    18. Joseph Atwood & Saleem Shaik & Myles Watts, 2003. "Are Crop Yields Normally Distributed? A Reexamination," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 888-901.
    19. Savin, N. E. & White, Kenneth J., 1978. "Estimation and testing for functional form and autocorrelation : A simultaneous approach," Journal of Econometrics, Elsevier, vol. 8(1), pages 1-12, August.
    20. Bailey Norwood & Matthew C. Roberts & Jayson L. Lusk, 2004. "Ranking Crop Yield Models Using Out-of-Sample Likelihood Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1032-1043.
    21. Renkow, Mitch & Byerlee, Derek, 2010. "The impacts of CGIAR research: A review of recent evidence," Food Policy, Elsevier, vol. 35(5), pages 391-402, October.
    22. John Baffes & Bruce Gardner, 2003. "The transmission of world commodity prices to domestic markets under policy reforms in developing countries," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 6(3), pages 159-180.
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