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

Kaixing Huang () and Nicholas Sim

No 2016-04, School of Economics and Public Policy Working Papers from University of Adelaide, School of Economics and Public Policy

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

Keywords: Climate change impact; Agriculture; Meta-analysis; Inconsistency (search for similar items in EconPapers)
JEL-codes: Q15 Q51 Q54 (search for similar items in EconPapers)
Date: 2016-02
New Economics Papers: this item is included in nep-agr and nep-env
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Persistent link: https://EconPapers.repec.org/RePEc:adl:wpaper:2016-04

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