Stock markets, local governments leverage, and regional economic development: Evidence from China

被引:0
|
作者
Bian, Jiang-Ze [1 ,2 ]
Qin, Qi-Lin [1 ]
Chen, Xiao-Yi-Jing [1 ]
Wu, Xia-Jun [1 ]
机构
[1] Univ Int Business & Econ, China Sch Banking & Finance, Beijing 100029, Peoples R China
[2] Univ Int Business & Econ, Ctr Res Chinas Capital Markets & Pol, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Stock market; Regional economic development gap; Local government leverage; Threshold effect; FINANCIAL DEVELOPMENT; GROWTH; CONVERGENCE;
D O I
10.1016/j.pacfin.2024.102326
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this paper, we examine the relationship between stock market development, the regional economic development gap, and local government behavior using two-way fixed-effects and threshold-effects models based on provincial panel data from China between 2011 and 2021. The results reveal a significant negative correlation between stock market development and the regional economic development gap, suggesting that the former promotes the coordinated development of the regional economy. And this effect is higher when the local government facing a high leverage. Considering the threshold effect of local government economic participation and the regional disparities, we find the level of local government economic participation is low, the development of the stock market widens the gap in terms of regional economic development, vice versa. Therefore, the promotion role of the stock market in the coordinated development of the regional economy requires appropriate assistance from local governments. Additionally, the threshold value in the south is significantly lower than in the north, indicating that local governments in the north should provide more guidance and assistance to the market, to foster coordinated regional economic development through the development of the stock market. Based on these findings, we recommend that China accelerates and improves the construction of multilevel stock markets to leverage the positive role of these markets in achieving coordinated regional economic development.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] How does the environmental attention of local governments affect regional green development? Empirical evidence from local governments in China
    Tu, Chaoyang
    Liang, Yuxi
    Fu, Yong
    HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2024, 11 (01):
  • [2] How does the environmental attention of local governments affect regional green development? Empirical evidence from local governments in China
    Chaoyang Tu
    Yuxi Liang
    Yong Fu
    Humanities and Social Sciences Communications, 11
  • [3] Regional stock markets and the economic development of Southeast Asia
    Niblock, Scott J.
    Heng, Panha
    Sloan, Keith
    ASIAN-PACIFIC ECONOMIC LITERATURE, 2014, 28 (01) : 47 - 59
  • [4] Digital economy and economic competitive pressure on local governments: Evidence from China
    Miao, Yongming
    Li, Yaokuang
    Wu, Yanrui
    ECONOMIC MODELLING, 2024, 140
  • [5] Culture and regional economic development: Evidence from China
    Shi, Shuxing
    Huang, Kunming
    Ye, Dezhu
    Yu, Linhui
    PAPERS IN REGIONAL SCIENCE, 2014, 93 (02) : 281 - 299
  • [6] Leverage structure and stock price synchronicity: Evidence from China
    Zhang, Xiang
    Zhou, Han
    PLOS ONE, 2020, 15 (07):
  • [7] Explaining the Green Development Behavior of Local Governments for Sustainable Development: Evidence from China
    Du, Jianguo
    Zhu, Xiaowen
    Li, Xingwei
    Unal, Enes
    Longhurst, Philip
    BEHAVIORAL SCIENCES, 2023, 13 (10)
  • [8] Density of local cadres and regional economic performance: Evidence from China
    Jiang, Wei
    Wang, Danli
    Yang, Yixin
    WORLD ECONOMY, 2019, 42 (09): : 2723 - 2744
  • [9] Quality of life and regional economic development: Evidence from China
    Cui, Yuhu
    Tian, Hu
    An, Dong
    Jia, Yonghua
    PLOS ONE, 2024, 19 (05):
  • [10] Stock market development and economic growth: Empirical evidence from China
    Pan, Lei
    Mishra, Vinod
    ECONOMIC MODELLING, 2018, 68 : 661 - 673