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Principal Component Analysis of Crop Yield Response to Climate Change AgEcon
Cai, Ruohong; Bergstrom, John C.; Mullen, Jeffrey D.; Wetzstein, Michael E.; Shurley, W. Donald.
The objective of this study is to compare the effects of climate change on crop yields across different regions. A Principal Component Regression (PCR) model is developed to estimate the historical relationships between weather and crop yields for corn, soybeans, cotton, and peanuts for several northern and southern U.S. states. Climate change projection data from three climate models are applied to the estimated PCR model to forecast crop yield response. Instead of directly using weather variables as predictor variables, the PCR model uses weather indices transformed from original weather variables by the Principal Component Analysis (PCA) approach. A climate change impact index (CCII) is developed to compare climate change effects across different...
Tipo: Working or Discussion Paper Palavras-chave: Principal component regression; Crop yield response; Climate change.; Crop Production/Industries.
Ano: 2011 URL: http://purl.umn.edu/103947
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An Econometric Analysis of U.S. Crop Yield and Cropland Acreage: Implications for the Impact of Climate Change AgEcon
Huang, Haixiao; Khanna, Madhu.
A SIGNIFICANTLY REVISED/UPDATED AND EDITED VERSION OF THIS PAPER WAS PUBLISHED AS: Citation: Miao, Ruiqing, Madhu Khanna and Haixiao Huang. “Responsiveness of Crop Yield and Acreage to Prices and Climate.” American Journal of Agricultural Economics (2015) doi: 10.1093/ajae/aav025 Abstract: We investigate the effect of crop price and climate variables on rainfed corn and soybean yields and acreage in the United States using a large panel dataset for the 1977–2007 period. Instrumental variables are used to control for endogeneity of prices in yield and acreage regressions, while allowing for spatially auto-correlated errors. We find that an increase in corn price has a statistically significant positive impact on corn yield, but the effect of soybean...
Tipo: Conference Paper or Presentation Palavras-chave: Crop yield response; Crop acreage response; Climate change; Econometric analysis; US county-level panel data; Agricultural and Food Policy; Crop Production/Industries; Demand and Price Analysis; Environmental Economics and Policy; Productivity Analysis; Resource /Energy Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/61527
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