Estimating the Spatially Varying Responses of Corn Yields toWeather Variations using GeographicallyWeighted Panel Regression

Vista sencilla de ítem
dc.creatorCai, Ruohong
dc.creatorYu, Danlin
dc.creatorOppenheimer, Michael
dc.date2017-04-01T14:47:13Z
dc.date.accessioned2026-07-09T08:34:01Z
dc.descriptionResearchers have extensively studied crop yield response to weather variations, while only a limited number of studies have attempted to identify spatial heterogeneity in this relationship. We explore spatial heterogeneity in corn yield response to weather by combining geographically weighted regression and panel regression. We find that temperature tends to have negative effects on U.S. corn yields in warmer regions and positive effects in cooler regions, with spatial heterogeneity at a fine scale. The spatial pattern of precipitation effects is more complicated. A further analysis shows that precipitation effects are sensitive to the existence of irrigation systems.
dc.identifierdoi:10.22004/ag.econ.186586
dc.identifierhttps://ageconsearch.umn.edu/record/186586/files/JARE_Aug2014__6_Cai_pp230-252.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/186586
dc.identifier.urihttp://hdl.handle.net/123456789/600345
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/186586
dc.titleEstimating the Spatially Varying Responses of Corn Yields toWeather Variations using GeographicallyWeighted Panel Regression
dc.typeText

Archivos

Colecciones

University of Minnesota