Land Prices and Climate Conditions - Evaluating the Greenhouse Damage for the German Agricultural Sector
AbstractUsing an exhaustive panel dataset of the German agricultural sector, this paper is evaluating the relationship between climate conditions and land prices. The main advantage of this so-called hedonic approach is the consideration of the full range of adaptation options to the climatic environment. A Box-Cox form is employed to allow for very flexible relationships between land prices, warmth, moisture, and different socioeconomic variables. In a second step, the estimated results are used to forecast the impact of global climate change on the farming sector. The results show that a change of the temperature level has stronger impacts than a change of rainfall. Using a greenhouse warming scenario, German farmers are expected to be winners of climate change at least in the short run. Maximum gains are estimated with a temperature increase of +1.0°C against the current levels. Should the temperature increase surpass 1.8°C, however, the impact on the farming sector is clearly negative.
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Bibliographic InfoPaper provided by Universitaet Augsburg, Institute for Economics in its series Discussion Paper Series with number 233.
Date of creation: Jan 2003
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agriculture; farming land; hedonic approach; climate change; environmental valuation; global warming; impact study;
Find related papers by JEL classification:
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
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- William R. Cline, 1992. "Economics of Global Warming, The," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 39, 1st quart.
- Dixon, Bruce L. & Hollinger, Steven E. & Garcia, Philip & Tirupattur, Viswanath, 1994. "Estimating Corn Yield Response Models To Predict Impacts Of Climate Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), July.
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