Dr. Jisang will introduce the application of Bayesian spatiotemporal variable coefficient models in the context of climate change, explaining how to combine a Bayesian framework with Gaussian processes to flexibly construct regression coefficients that vary simultaneously with space and time, thereby characterizing the heterogeneity caused by climate shocks. He will also use long-term data from the US Maize Belt to demonstrate the spatial variability in the impact of heat exposure on maize yield and the adaptability of local agriculture to climate change.
Our center has invited international experts and scholars to the university to share the latest research findings and practical experience in climate econometrics. Dr. Jisang Yu, formerly an associate professor of agricultural economics at Kansas State University and now an associate professor in the Department of Food and Resource Economics at Korea University, will provide guidance and exchange on domestic climate change issues. This forum aims to promote the sharing of academic and practical experience in climate econometrics among international participants, deepen discussions, and broaden research perspectives to contribute to global agricultural development.
Dr. Jisang will introduce the application of Bayesian spatiotemporal variable coefficient models in the context of climate change, explaining how to combine a Bayesian framework with Gaussian processes to flexibly construct regression coefficients that vary simultaneously with space and time, thereby characterizing the heterogeneity caused by climate shocks. He will also use long-term data from the US Maize Belt to demonstrate the spatial variability in the impact of heat exposure on maize yield and the adaptability of local agriculture to climate change.