Assessing the Impact of the National Sustainable Development Planning of Resource-Based Cities Policy on Pollution Emission Intensity: Evidence from 270 Prefecture-Level Cities in China

被引:30
|
作者
Meng, Yuxin [1 ,2 ]
Liu, Lu [1 ,2 ]
Wang, Jianlong [1 ,2 ]
Ran, Qiying [1 ,2 ]
Yang, Xiaodong [1 ,2 ]
Shen, Jianliang [1 ,3 ]
机构
[1] Xinjiang Univ, Sch Econ & Management, Urumqi 830047, Peoples R China
[2] Xinjiang Univ, Ctr Innovat Management Res Xinjiang, Urumqi 830047, Peoples R China
[3] Ctr Arid Reg Rural Dev Res, Urumqi 830052, Peoples R China
基金
中国国家自然科学基金;
关键词
pollution emission intensity; difference-in-differences model; resource-based cities; ENERGY EFFICIENCY EVIDENCE; URBAN SUSTAINABILITY; GREEN DEVELOPMENT; TRANSFORMATION; URBANIZATION; RESILIENCE; ECONOMY; CITY;
D O I
10.3390/su13137293
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The question of how to achieve the sustainable development of resource-based cities has been a major concern for the whole world. In response, the Chinese government has introduced the National Sustainable Development Planning of Resource-Based Cities Policy (SDPRP) to address sustainable development issues in resource-based cities. However, few studies have evaluated the environmental effects of the implementation of the SDPRP. Therefore, difference-in-differences (DID) and mediation effect models were applied to investigate the impact of the SDPRP on pollution emission intensity using balanced panel data for 270 prefecture-level cities in China from 2003 to 2018. The statistical results reveal that the SDPRP significantly reduced pollution emission intensity. Robustness test results showed that the conclusions are robust. Furthermore, the inhibitory effect of the SDPRP on pollution emission intensity increased year after year. We also found that the SDPRP can reduce pollution emission intensity by facilitating technological innovation, accelerating digital transformation, and improving human capital level, in which the role of human capital is stronger, while the role of digital transformation is weaker. The heterogeneity results suggest that compared with mature resource-based cities, the SDPRP had a stronger inhibitory effect on the pollution emission intensity in declining resource-based cities. However, the impact of the SDPRP on pollution emission intensities in growing resource-based cities was significant, while it was not significant in regenerative resource-based cities. Similarly, the SDPRP had a significantly greater inhibitory effect on pollution emission intensity in megacities than in large cities, while it increased the pollution emission intensity in small- and medium-sized cities.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Environmental dilemma and sustainable development of resource-based cities: A case study from northeast china
    Qing, Yiting
    Guo, Wei
    Cao, Gaohang
    Qin, Yu
    Nie, Xin
    Wang, Han
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [32] Spatial-temporal evolution characteristics and drivers of carbon emission intensity of resource-based cities in china
    Song, Weixuan
    Yin, Shanggang
    Zhang, Yuhan
    Qi, Lianshanyu
    Yi, Xing
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [33] State Intervention in Land Supply and Its Impact on Real Estate Investment in China: Evidence from Prefecture-Level Cities
    Su, Xing
    Qian, Zhu
    SUSTAINABILITY, 2020, 12 (03)
  • [34] High-speed rail and distribution of economic activities: Evidence from prefecture-level cities in China
    Wang, Yuan
    Zhang, Fang
    RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2023, 51
  • [35] Will economic development come at the cost of environmental pollution under fiscal pressure? evidence from resource-based cities in China
    Junfeng Liu
    Shaobo Wang
    Jianwen Ji
    Environmental Science and Pollution Research, 2024, 31 : 4864 - 4880
  • [36] Analysis of the influence of land finance on haze pollution: An empirical study based on 269 prefecture-level cities in China
    Yang, Xiaodong
    Wang, Weilong
    Su, Xufeng
    Ren, Siyu
    Ran, Qiying
    Wang, Jianlong
    Cao, Jianhong
    GROWTH AND CHANGE, 2023, 54 (01) : 101 - 134
  • [37] Can ecological compensation reduce air pollution? New evidence from resource-based cities in China
    Weng, Shimei
    Tao, Weiliang
    Cui, Lianbiao
    ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2024, 19 (01)
  • [38] Exploring the effect of city size on carbon emissions: Evidence from 259 prefecture-level cities in China
    Wang, Yanan
    Liu, Jiaxin
    Wang, Juan
    Liu, Zengming
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (36) : 86165 - 86177
  • [39] The Effects of Urban Sprawl on Electricity Consumption: Empirical Evidence from 283 Prefecture-Level Cities in China
    Li, Qiangyi
    Yang, Lan
    Huang, Shuang
    Liu, Yangqing
    Guo, Chenyang
    LAND, 2023, 12 (08)
  • [40] Exploring the relationship between new-type urbanization and sustainable urban land use: Evidence from prefecture-level cities in China
    Deng, Suling
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2021, 30