自下而上CGE模型中中国各地区的州代表性:SinoTERM365

IF 2.2 Q2 ECONOMICS Journal of Global Economic Analysis Pub Date : 2018-12-25 DOI:10.21642/JGEA.030204AF
G. Wittwer, Mark Horridge
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引用次数: 1

摘要

我们建立了一个代表中国经济365个地级市162个部门的应用一般均衡数据库。我们的方法需要相对适度的数据需求,以创建一个多地区、次国家的数据库,并扩展了“巨大区域模型”(TERM)中使用的方法。我们称这个新数据库为“SinoTERM365”。当数据库结构允许的信息多于可用信息时,我们使用简单的假设来弥补不足。然而,我们希望模型用户可以合作找到更多更好的数据。一个说明性模拟显示了从燃煤发电转向水力发电的长期影响。
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Prefectural Representation of the Regions of China in a Bottom-up CGE Model: SinoTERM365
We create an applied general equilibrium database that represents 162 sectors in 365 prefectural regions of the Chinese economy. Our approach requires relatively modest data requirements to create a multi-region, sub-national database and extends methods used in The Enormous Regional Model (TERM). We call the new database ‘SinoTERM365’. Where the database structure allows for more information than is available, we use simple assumptions to supply the deficiency. However we hope that model users may collaborate to find more or better data. An illustrative simulation shows the long-run effects of a switch from coal to hydro electricity generation.
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CiteScore
5.60
自引率
12.00%
发文量
0
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