Regression Model

Agriculture consumes huge amounts of water in China and is profoundly affected by climate change. This study projects the agricultural water use towards 2030 under the climate change mitigation target at the provincial level in China by linking a computable general equilibrium (CGE) model and a regression model. By solving the endogeneities amongst agricultural water use, output and climate factors, we explore how these variables affect water use and further predict future trends through soft-link with the IMED|CGE model.