Table of Contents

Handbook on Climate Change and Agriculture

Handbook on Climate Change and Agriculture

Elgar original reference

Edited by Ariel Dinar and Robert Mendelsohn

This book explores the interaction between climate change and the agriculture sector. Agriculture is essential to the livelihood of people and nations, especially in the developing world; therefore, any impact on it will have significant economic, social, and political ramifications. Scholars from around the world and from various fields have been brought together to explore this important topic.

Chapter 7: Using Panel Data Models to Estimate the Economic Impacts of Climate Change on Agriculture

Olivier Deschenes and Michael Greenstone

Subjects: development studies, agricultural economics, economics and finance, agricultural economics, environmental economics, environment, agricultural economics, climate change, environmental economics


Olivier Deschenes and Michael Greenstone INTRODUCTION Agriculture is one of the economic sectors most sensitive to weather fluctuations and extreme events since temperature and precipitation are direct inputs in agricultural production. As a result, there have been long-standing concerns and debates about the likely effects of global climate change on the agricultural sector in the USA and elsewhere.1 Despite this massive research effort, there remains considerable uncertainty about the sign and magnitude of the likely effect of climate change on the US agricultural sector. In this chapter, we review the emerging literature that has used panel data methods to estimate the economic impacts of climate change on agriculture. The focus is on methods relying on interannual variation in weather as the primary source of identification for the statistical models, as in Deschenes and Greenstone (2007), Kelly et al. (2005), Guiteras (2009) and Schelenker and Roberts (2009).2 In the third section we present a simple conceptual framework that emphasizes the strengths and weaknesses of approaches that rely on interannual variation in temperature and precipitation distributions to identify their effects on farm productivity, as well as guiding its interpretation. The key point is that the approach’s primary limitation is that farmers cannot implement the full range of adaptations in response to a single year’s weather realization whereas they could do so in response to a more permanent change. As such, relying on short-term variation to infer long-run responses may overstate the damage associated with climate change. We make use of detailed...

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