EXPLAINING THE CLIMATE-DEPENDENT DISTRIBUTION OF CROPS IN SPACE –THE EXAMPLE OF CORN AND CORN-COB-MIX IN BADEN-WÜRTTEMBERG

Christian Lippert, Thomas Chatzopoulos, Eva Schmidtner and Joachim Aurbacher

No 114504, 51st Annual Conference, Halle, Germany, September 28-30, 2011 from German Association of Agricultural Economists (GEWISOLA)

Abstract: This article analyses the current climate-dependent spatial distribution of corn and corn-cob-mix in Baden-Württemberg using 2007 data at the county and community level. We use OLS and spatial econometric models to estimate the effects of different climate and non-climate variables on the share of grain maize in UAA. Whereas the temperature effect is missed by means of OLS regression, the adequate spatial error model at the county level yields a highly significant positive effect of mean annual temperature. Additionally, it displays a temperature cut-off point after which corn share is less likely to rise due to temperature increase. These effects are supported by a non-spatial multinomial logit model at the community level. The latter further indicates that soil quality also plays a role. The positive effect of annual precipitation remains ambiguous.

Keywords: Agribusiness; Crop Production/Industries (search for similar items in EconPapers)
Pages: 13
Date: 2011-09
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Persistent link: https://EconPapers.repec.org/RePEc:ags:gewi11:114504

DOI: 10.22004/ag.econ.114504

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