The Impact of Climate Change on Agriculture in the Southwestern United States: The Ricardian Approach Revisited

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This paper estimates a Ricardian model of farmland value across the counties of the semiarid Southwestern United States. Compared to previous contributions, we focus on one climate zone and include the presence of extreme weather events and of farm subsidies in our analysis. We also control for heterogeneity and for various types of spillover effects. Once calibrated, the model is used to project changes due to future climate conditions. We find that the probability of a decrease is great in highland counties while an increase or decrease is equally probable in lowland counties where climate impacts farmland value less.

Original languageEnglish (US)
Pages (from-to)46-66
Number of pages21
JournalSpatial Economic Analysis
Volume11
Issue number1
DOIs
StatePublished - Jan 2 2016
Externally publishedYes

Fingerprint

Agriculture
Climate Change
Climate
climate change
agriculture
climate
agricultural land
spillover effect
Decrease
climate effect
climate conditions
Probable
Weather
subsidy
Values
farm
Extremes
weather
event
Model

Keywords

  • climate change
  • Farmland
  • spatial econometrics
  • spillovers

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Geography, Planning and Development
  • Earth and Planetary Sciences (miscellaneous)
  • Statistics, Probability and Uncertainty

Cite this

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AB - This paper estimates a Ricardian model of farmland value across the counties of the semiarid Southwestern United States. Compared to previous contributions, we focus on one climate zone and include the presence of extreme weather events and of farm subsidies in our analysis. We also control for heterogeneity and for various types of spillover effects. Once calibrated, the model is used to project changes due to future climate conditions. We find that the probability of a decrease is great in highland counties while an increase or decrease is equally probable in lowland counties where climate impacts farmland value less.

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