Prefectural Representation of the Regions of China in a Bottom-up CGE Model: SinoTERM365

IF 2.2 Q2 ECONOMICS
G. Wittwer, Mark Horridge
{"title":"Prefectural Representation of the Regions of China in a Bottom-up CGE Model: SinoTERM365","authors":"G. Wittwer, Mark Horridge","doi":"10.21642/JGEA.030204AF","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":44607,"journal":{"name":"Journal of Global Economic Analysis","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2018-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Economic Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21642/JGEA.030204AF","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1

Abstract

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.
自下而上CGE模型中中国各地区的州代表性:SinoTERM365
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.60
自引率
12.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信