Research on the Impact of Market Integration on Regional Productivity: A Spatial Econometric Approach for Chinese Regions

被引:0
|
作者
Wang, Peng [1 ]
Cen, Cong [1 ]
机构
[1] Jinan Univ, Sch Econ, 601 Huangpu Ave West, Guangzhou 510632, Peoples R China
基金
中国国家自然科学基金;
关键词
Market integration; regional productivity; spillover effect; spatial econometric analysis; China; ONE PRICE; INCREMENTAL REFORM; CONVERGENCE; TRADE; SPILLOVERS; EFFICIENCY; LAW; DISTORTIONS;
D O I
10.1142/S021964922350048X
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
The process of market integration has a profound impact on regional output activities. This paper discusses the impact mechanism of market integration on regional productivity. Using China's province-level panel data from 2006 to 2019, a spatial econometric model is constructed to empirically analyse the actual impact of China's market integration process on regional productivity at this stage. The empirical study found that the spatial distribution of China's regional productivity at the current stage exhibits the agglomeration characteristics of "high in the east and low in the west". The process of market integration can not only significantly promote the productivity of the region, but also have a significant positive impact on the productivity of geographical and economic neighbouring regions. The subregional empirical results show that the marginal impact of the market integration process on productivity in different regions is heterogeneous, showing that the marginal impact on the eastern and coastal regions is stronger than that in the central and western regions. Altogether, this study provides empirical evidence of the positive impact of market integration on regional productivity in the spatial dimension, having significant implications for regional coordinated and sustainable development.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] Trade openness and regional income spillovers in Brazil: A spatial econometric approach
    Oezyurt, Selin
    Daumal, Marie
    [J]. PAPERS IN REGIONAL SCIENCE, 2013, 92 (01) : 197 - +
  • [32] Spatial Econometric Study on the Impact of Industrial Upgrading on Green Total Factor Productivity
    Ma, Tao
    Cao, Xiaoxi
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [33] Relationship of the regional growth and volatility: Spatial econometric analysis for the V4 regions
    Chocholata, Michaela
    [J]. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON STRATEGIC MANAGEMENT AND ITS SUPPORT BY INFORMATION SYSTEMS (SMSIS), 2017, : 239 - 246
  • [34] IMPACTS OF EDUCATIONAL FACTORS ON ECONOMIC GROWTH IN REGIONS OF CHINA: A SPATIAL ECONOMETRIC APPROACH
    Lv, Kangjuan
    Yu, Anyu
    Gong, Siyi
    Wu, Maoguo
    Xu, Xiaohong
    [J]. TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2017, 23 (06) : 827 - 847
  • [35] Dynamic changes and convergence of China's regional green productivity: A dynamic spatial econometric analysis
    Zhai, Xu-Quan
    Xue, Rui
    He, Bin
    Yang, Dong
    Pei, Xiang-Yu
    Li, Xian
    Shan, Yuli
    [J]. ADVANCES IN CLIMATE CHANGE RESEARCH, 2022, 13 (02) : 266 - 278
  • [36] Impact of Chinese Futures Market to Regional Economic Development
    Zhao Junlei
    Tian Yuan
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON REGIONAL MANAGEMENT SCIENCE AND ENGINEERING, 2011, : 51 - 54
  • [37] Total factor logistics productivity: A spatial approach to the Italian regions
    Barilla, David
    Carlucci, Fabio
    Cira, Andrea
    Ioppolo, Giuseppe
    Siviero, Lucio
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 136 : 205 - 222
  • [38] Efficiency of Regional Public Investment: An NPV-Based Spatial Econometric Approach
    Kopczewska, Katarzyna
    [J]. SPATIAL ECONOMIC ANALYSIS, 2016, 11 (04) : 413 - 431
  • [39] The impact of urban sprawl on green total factor productivity: A spatial econometric analysis in China
    Liu, Shucheng
    Wu, Peijin
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [40] A SPATIAL ECONOMETRIC APPROACH TO EU REGIONAL DISPARITIES BETWEEN ECONOMIC AND GEOGRAPHICAL PERIPHERY
    Brasili, C.
    Bruno, F.
    Saguatti, A.
    [J]. STATISTICA, 2012, 72 (03): : 299 - 316