Abstract
New and unique climate prediction data show the regional effect of climate change for weather outcomes in Denmark. The present study utilizes this data to forecast and discuss the impacts of climate change on Danish agriculture, namely for the distribution of wheat yields. Using a large data set with farm-level information combined with data on local meteorological observations, a fixed effect panel data model for wheat yields is estimated, including a prior tobit model to correct for the selection bias from wheat production. Climate change is found to a have strong negative impact on average yields under the current technological constraints on agriculture. This fall in yields is transformed into a net increase in mean yields once the impact of technological progress on yields is taken into account. In a regionally differentiated analysis, the peninsular Jutland in the west experiences a larger decrease in mean yields than the eastern parts of the country. In this context I point to the need for further studies on the specific cause of the regional differences of the impact as well as the informational needs on climate change, in order to improve the understanding of potential adaptation strategies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.