This study uses the concept of shadow prices formeasuring the impacts of climate change. By estimatinga restricted profit function rather than a cost or aproduction function the explanatory power of the modelis increased because of an endogenous outputstructure. Using low aggregated panel data on WesternGerman farmers, the results imply that the agricultural production process is significantly influenced by climate conditions. Simulation results using a 2 ×CO2 climate scenario show positive impactsfor all regions in Germany. Interestingly, the spatialdistribution of the gains is indicating no advantagefor those regions, which currently suffer frominsufficient temperature. Finally, the importance ofan endogenous output structure is confirmed by thefinding that the desired product mix will drasticallychange. Copyright Kluwer Academic Publishers 2001
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: