Explaining The Climate-Dependent Distribution Of Crops In Space –The Example Of Corn And Corn-Cob-Mix In Baden-Württemberg
AbstractThis 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.
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Bibliographic InfoPaper provided by German Association of Agricultural Economists (GEWISOLA) in its series 51st Annual Conference, Halle, Germany, September 28-30, 2011 with number 114504.
Date of creation: Sep 2011
Date of revision:
Spatial distribution of corn; spatial econometrics; multinomial logit; climate change; Agribusiness; Crop Production/Industries;
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