主 题：A Decomposition Algorithm for Large-Scale Nonlinear Spatial Equilibrium Model: A Price Endogenous Analysis of US Biofuel Mandate
主讲人：西南财经大学经济与管理研究院 陈晓光副教授
主持人：西南财经大学经管院袁燕副教授
时 间：2013年12月6日（周五）下午13:55-15:50
地 点：柳林校区 颐德楼H513
主办单位：经济与管理研究院 科研处
主讲人简介：
Dr. Xiaoguang Chen is currently an associate professor at the Southwestern University of Finance and Economics. He received a BA from Peking University in 2003, a MS in Environmental Economics from Chinese Academy of Sciences in 2006 and a PhD in Agricultural and Consumer Economics from University of Illinois at Urbana-Champaign in 2010. He worked as a research associate in Energy Biosciences Institute at the University of Illinois at Urbana-Champaign. Dr. Chen has published numerous articles in peer-reviewed journals such as American Journal of Agricultural Economics, Energy Policy and Environmental Research Letters.
内容提要：
This paper develops a decomposition-based solution procedure to solve a large-scale nonlinear spatial equilibrium model of U.S. agricultural and transportation fuel sectors. We derive lower and upper bounds on the value of the objective function at each step of the decomposition, and use the percentage deviation between the two bounds as the guidance to terminate the decomposition solution procedure. Empirical results show that the decomposition-based solution procedure developed in this study can reduce solution time of the model at the Crop Reporting District (CRD) level by more than 95% compared to the standard solution approaches. It can solve the county-level model which could not be solved directly by existing commercial optimization solvers due to its sheer size and nonlinearity involved in the objective function. Effects of U.S. biofuel mandate on U.S. commodity markets and land use are discussed.
