Does administrative divisions adjustment affect polluting industries dependence? Evidence from township-town merge in China

被引:0
|
作者
Zheng, Xiaodan [1 ]
Li, Shangpu [1 ]
Li, Junwen [1 ]
Sun, Yihong [1 ]
机构
[1] South China Agr Univ, Coll Econ & Management, Guangzhou 510642, Peoples R China
来源
关键词
township-town merger; land supply; pollution industry; fiscal decentralization; top-down supervision; ENVIRONMENTAL-REGULATION; GOVERNMENT INTERVENTION; LAND-USE; CENTRALIZATION; EFFICIENCY;
D O I
10.1088/2515-7620/ada2e6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Land distribution is intricately linked to economic quality and sustainable growth, influenced by administrative division adjustment (ADA), which can be categorized into various forms, with the township-town merge (TTM) reform being the most common. This study evaluates the effect of TTM on local governments' dependence on polluting industries from a fiscal decentralization angle, using the differences-in-differences model with transaction data from China's land market. Findings reveal that TTM increases local governments' dependence on polluting industries, especially in districts/counties with weaker economic conditions before the COVID-19 pandemic. Evidence also highlights a notable boundary effect of TTM, though its impact is minimal in districts/counties at provincial borders due to their potentially lower public investment inclination. TTM also increases the decentralization level of districts/counties, thus explaining the increase in local government's dependence on polluting industries. The empirical results have confirmed such a mechanism. However, top-down supervision limits the effect of the reform to a certain extent. This conclusion offers fresh policy insights for leveraging land supply mechanisms to advance environmental governance in centralized developing nations through the lens of ADA.
引用
收藏
页数:20
相关论文
共 32 条
  • [1] Does local government competition affect the dependence on polluting industries? Evidence from China's land market
    Zhou, Di
    Wang, Hanying
    Wang, Mingzhe
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 325
  • [2] How does economic growth target affect corporate environmental investment? Evidence from heavy-polluting industries in China
    Zhong, Qiming
    Wen, Huwei
    Lee, Chien-Chiang
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2022, 95
  • [3] How does FDI affect China? Evidence from industries and provinces
    Ran, Jimmy
    Voon, Jan P.
    Li, Guangzhong
    JOURNAL OF COMPARATIVE ECONOMICS, 2007, 35 (04) : 774 - 799
  • [4] Does environmental performance affect financial performance? Evidence from Chinese listed companies in heavily polluting industries
    Shen F.
    Ma Y.
    Wang R.
    Pan N.
    Meng Z.
    Quality & Quantity, 2019, 53 (4) : 1941 - 1958
  • [5] Does digital economy policy benefit green innovation? Evidence from heavily polluting industries in China
    Wang, Xin
    Yao, Zheng
    Ma, Chaoqun
    Wang, Chengang
    INDUSTRY AND INNOVATION, 2024, 31 (03) : 377 - 407
  • [6] Does digital finance matter for corporate green investment? Evidence from heavily polluting industries in China
    Ding, Qian
    Huang, Jianbai
    Chen, Jinyu
    ENERGY ECONOMICS, 2023, 117
  • [7] Does environmental regulation affect stock price crash?-Evidence from polluting firms in China
    Xu, Gang
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2025, 27 (01) : 1519 - 1543
  • [8] Does digital transformation empower green innovation? Evidence from listed companies in heavily polluting industries in China
    Zhang, Wenqiu
    Zhao, Junli
    Li, Hao
    Chen, Shuilin
    FINANCE RESEARCH LETTERS, 2024, 66
  • [9] Does green governance affect financing constraints? Evidence from China's heavily polluting enterprises
    Liu, Pei Jose
    Song, Congjing
    Xin, Jiayuan
    CHINA JOURNAL OF ACCOUNTING RESEARCH, 2022, 15 (04)
  • [10] Does green governance affect financing constraints?Evidence from China's heavily polluting enterprises
    Pei Jose Liu
    Congjing Song
    Jiayuan Xin
    China Journal of Accounting Research, 2022, 15 (04) : 22 - 46