SinoTERM, a multi-regional CGE model of China

被引:42
|
作者
Horridge, Mark [1 ]
Wittwer, Glyn [1 ]
机构
[1] Monash Univ, Ctr Policy Studies, Clayton, Vic 3800, Australia
关键词
CGE modeling; Regional modeling; Construction projects;
D O I
10.1016/j.chieco.2008.05.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
The paper outlines the theory and database preparation of SinoTERM, a "bottom-up" computable general equilibrium model of the Chinese economy. The methodology by which we construct the multi-regional model allows us to present the economy of China in an unprecedented amount of detail. SinoTERM covers all 31 provinces and municipalities. The database of the model extends the published national input-output table for 2002 to 137 sectors. The single crops sector in the published national input-output table is split into 11 and the single livestock sector into three. The multi-regional CGE model provides a framework that we could modify to apply to many different policy applications. We can use SinoTERM to analyse the regional economic impacts of region-specific shocks. Such shocks could major construction projects or investments in health and education sectors, in an effort to accelerate economic growth in the lagging inland provinces. We use a 63 sector, 10 region aggregation of the SinoTERM master database to model the regional economic impacts of the construction of the Chongqing-Lichuan rail link. (c) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:628 / 634
页数:7
相关论文
共 50 条
  • [1] A Multi-regional CGE Model for China
    Li, Na
    Shi, Minjun
    Wang, Fei
    CUTTING-EDGE RESEARCH TOPICS ON MULTIPLE CRITERIA DECISION MAKING, PROCEEDINGS, 2009, 35 : 370 - +
  • [2] Effects of Carbon Dioxide Control Policy in China by Multi-Regional CGE Model
    Pu, Zhengning
    Hayashiyama, Yasuhisa
    FRONTIERS OF ECONOMICS IN CHINA, 2012, 7 (04) : 580 - 603
  • [3] A Multi-regional CGE Model and Its Application in Low Carbon Policy Simulation in China
    Yuan Yongna
    Li Na
    Shi Minjun
    2015 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT), VOL 3, 2015, : 36 - 39
  • [4] China's regional rebound effect based on modelling multi-regional CGE
    Wang, Ningjing
    Wei, Weixian
    APPLIED ECONOMICS, 2019, 51 (53) : 5712 - 5726
  • [5] Enriching US labor results in a multi-regional CGE model
    Carrico, Caitlyn
    Tsigas, Marinos
    ECONOMIC MODELLING, 2014, 36 : 268 - 281
  • [6] Measuring drought based on a CGE model with multi-regional irrigation water
    Zhong, Shuai
    Sha, Jinghua
    Shen, Lei
    Okiyama, Mitsuru
    Tokunaga, Suminori
    Yan, Jingjing
    Liu, Litao
    WATER POLICY, 2016, 18 (04) : 877 - 891
  • [7] Explaining regional economic performance: An historical application of a dynamic multi-regional CGE model
    Giesecke, J
    PAPERS IN REGIONAL SCIENCE, 2002, 81 (02) : 247 - 278
  • [8] Environmental impact of national and subnational carbon policies in China based on a multi-regional dynamic CGE model
    Zhang, Wen-Wen
    Zhao, Bin
    Gu, Yu
    Sharp, Basil
    Xu, Shi-Chun
    Liou, Kuo-Nan
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 270
  • [9] Designing an Engineering Style Hydrological Model to Advance a CGE Model of a Multi-Regional Economy
    Fernandes, M.
    Schreider, S.
    MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: LAND, WATER AND ENVIRONMENTAL MANAGEMENT: INTEGRATED SYSTEMS FOR SUSTAINABILITY, 2007, : 1054 - 1060
  • [10] Exploring the impacts of Sino?US trade disruptions with a multi-regional CGE model
    Cui, Lianbiao
    Sun, Yi
    Melnikiene, Rasa
    Song, Malin
    Mo, Jianlei
    ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2019, 32 (01): : 4015 - 4032