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Why Do Econometric Studies Disagree on the Effect of Warming on Agricultural Output? A Meta-Analysis

Author

Listed:
  • Kaixing Huang

    (School of Economics, University of Adelaide)

  • Nicholas Sim

    (School of Economics, University of Adelaide)

Abstract

Having robust estimates of how global warming affects agricultural production is important for developing informed policies in response to food security, but the existing studies have been at odds on what this effect might be. This article conducts a meta-analysis based on 130 primary econometric studies to better understand the conflict among the existing estimates of warming on agriculture. We find that the difference in econometric model specification is an important source of disagreement, and that this disagreement can be greatly reduced if the studies model temperature nonlinearly, use a growing season temperature measure, and cross-sectional data which captures adaptations

Suggested Citation

  • Kaixing Huang & Nicholas Sim, 2016. "Why Do Econometric Studies Disagree on the Effect of Warming on Agricultural Output? A Meta-Analysis," School of Economics and Public Policy Working Papers 2016-04, University of Adelaide, School of Economics and Public Policy.
    • Handle: RePEc:adl:wpaper:2016-04
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    File URL: https://media.adelaide.edu.au/economics/papers/doc/wp2016-04.pdf
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    References listed on IDEAS

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    1. Anne-Célia Disdier & Keith Head, 2008. "The Puzzling Persistence of the Distance Effect on Bilateral Trade," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 37-48, February.
    2. Bel Germà & Fageda Xavier & E. Mildred, 2014. "Is private production of public services cheaper than public production? A meta-regression analysis of solid waste and water services," Public administration issues, Higher School of Economics, issue 3, pages 103-140.
    3. T. D. Stanley & Stephen B. Jarrell, 2005. "Meta‐Regression Analysis: A Quantitative Method of Literature Surveys," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 299-308, July.
    4. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    5. Loomis, John B. & White, Douglas S., 1996. "Economic benefits of rare and endangered species: summary and meta-analysis," Ecological Economics, Elsevier, vol. 18(3), pages 197-206, September.
    6. Cavlovic, Therese A. & Baker, Kenneth H. & Berrens, Robert P. & Gawande, Kishore, 2000. "A Meta-Analysis of Environmental Kuznets Curve Studies," Agricultural and Resource Economics Review, Cambridge University Press, vol. 29(1), pages 32-42, April.
    7. Smith, V Kerry & Huang, Ju-Chin, 1995. "Can Markets Value Air Quality? A Meta-analysis of Hedonic Property Value Models," Journal of Political Economy, University of Chicago Press, vol. 103(1), pages 209-227, February.
    8. Gerald C. Nelson & Dominique Mensbrugghe & Helal Ahammad & Elodie Blanc & Katherine Calvin & Tomoko Hasegawa & Petr Havlik & Edwina Heyhoe & Page Kyle & Hermann Lotze-Campen & Martin Lampe & Daniel Ma, 2014. "Agriculture and climate change in global scenarios: why don't the models agree," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 85-101, January.
    9. Jon Nelson & Peter Kennedy, 2009. "The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 345-377, March.
    10. Jeroen Klomp & Jakob De Haan, 2010. "Inflation And Central Bank Independence: A Meta‐Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 24(4), pages 593-621, September.
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    More about this item

    Keywords

    Climate change impact; Agriculture; Meta-analysis; Inconsistency;
    All these keywords.

    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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