The Value of Ocean Decadal Climate Variability Information to United States Agriculture
1
Facultad de Ciencias Sociales y Humanísticas, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil 090112, Ecuador
2
Department of Agricultural Economics, Texas A&M University, College Station, TX 77843, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(4), 318; https://doi.org/10.3390/atmos11040318
Received: 20 February 2020 / Revised: 19 March 2020 / Accepted: 20 March 2020 / Published: 25 March 2020
(This article belongs to the Special Issue Climate Change Impacts and Strategies for Mitigation and Adaptation in Agriculture)
Ocean-related decadal climate variability (ODCV) has the potential to influence regional climates and, in turn, crop yields. ODCV event forecasts with associated climate and crop yield implication information can provide farmers with the opportunity to alter their crop mixes and input usage to adapt to the forecast conditions. We investigate the value of ODCV information and the nature of adaptations. This is done by estimating the changes in welfare under differing information scenarios using a nonlinear dynamic optimization model. We find evidence that both perfect forecasts and the use of forecasts permitting a conditional probability of future phase combinations can significantly increase agriculture consumer and producer welfare. This is a new result that is an estimate of the US national value of releasing ODCV forecasts and accompanying yield information.
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MDPI and ACS Style
Rhodes, L.A.; McCarl, B.A. The Value of Ocean Decadal Climate Variability Information to United States Agriculture. Atmosphere 2020, 11, 318. https://doi.org/10.3390/atmos11040318
AMA Style
Rhodes LA, McCarl BA. The Value of Ocean Decadal Climate Variability Information to United States Agriculture. Atmosphere. 2020; 11(4):318. https://doi.org/10.3390/atmos11040318
Chicago/Turabian StyleRhodes, Lauren A.; McCarl, Bruce A. 2020. "The Value of Ocean Decadal Climate Variability Information to United States Agriculture" Atmosphere 11, no. 4: 318. https://doi.org/10.3390/atmos11040318
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