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Explaining The Climate-Dependent Distribution Of Crops In Space –The Example Of Corn And Corn-Cob-Mix In Baden-Württemberg

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  • Lippert, Christian
  • Chatzopoulos, Thomas
  • Schmidtner, Eva
  • Aurbacher, Joachim

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.

Suggested Citation

  • Lippert, Christian & Chatzopoulos, Thomas & Schmidtner, Eva & Aurbacher, Joachim, 2011. "Explaining The Climate-Dependent Distribution Of Crops In Space –The Example Of Corn And Corn-Cob-Mix In Baden-Württemberg," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114504, German Association of Agricultural Economists (GEWISOLA).
  • Handle: RePEc:ags:gewi11:114504
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    File URL: http://purl.umn.edu/114504
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    References listed on IDEAS

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    7. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, vol. 67(1), pages 109-116, August.
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    Keywords

    Spatial distribution of corn; spatial econometrics; multinomial logit; climate change; Agribusiness; Crop Production/Industries;

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