Has the Sustainable Development Planning Policy Promoted the Green Transformation in China's Resource-based Cities

被引:109
作者
Wang, Yujie [1 ,2 ,3 ]
Chen, Hong [1 ,2 ]
Long, Ruyin [1 ,2 ]
Sun, Qingqing [3 ]
Jiang, Shiyan [3 ]
Liu, Bei [3 ]
机构
[1] Jiangnan Univ, Sch Business, Wuxi 214122, Jiangsu, Peoples R China
[2] Jiangnan Univ, Inst Natl Secur & Green Dev, Wuxi, Jiangsu, Peoples R China
[3] China Univ Min & Technol, Sch Econ & Management, Xuzhou, Jiangsu, Peoples R China
关键词
Resource-based city; Green transformation performance; Policy effect evaluation; Synthetic control method; SYSTEM; CHALLENGES;
D O I
10.1016/j.resconrec.2022.106181
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Scientific evaluation of the transformation effect of resource-based cities is an important way to measure the effect of the implementation of national transformation policies, and it is also an important issue in the study of China's urban transformation development under the "30-60 " goal of carbon peaking and carbon neutral. Based on the systematic understanding of the connotation of green transformation development in resource-based cities, this study constructed a framework for evaluating the green transformation performance (GTP) of resource-based cities in China, measured the GTP of 115 prefecture-level and above resource-based cities in China using the entropy weight-TOPSIS model, and further quantitatively assessed the policy effects of sus-tainable development planning (SDP) in China's resource-based cities from both the overall and local levels using synthetic control method. The results showed the following. (1) Time-series evolution characteristics analysis results showed that the average GTP allocation level of China's resource-based cities showed a steady upward trend in 2009 to 2018, from 0.4196 in 2009 to 0.4946 in 2018, an increase of 17.88%, and the growth rate showed a "W "-type fluctuating change characteristics. (2) Spatial differentiation characteristics analysis results showed that the average GTP allocation level of resource-based cities showed the heterogeneous characteristics of "east > middle > west ", "regenerative type > growth type > mature type > declining type ", and "ferrous metals > oil and gas > non-metals > forest industry > coal > non-ferrous metals ". (3) Overall policy effects analysis results showed that the implementation of the SDP policy had a weak positive promotion effect on the overall trans -formation and development of resource-based cities. The overall policy effect showed an "M "-type fluctuation trend, with a more obvious pushing effect at the early stage of policy implementation, and then showed a fluctuation and weakening trend. (4) Local policy effects analysis results showed that the implementation of the SDP policy had different impacts on the green transformation and development of different resource-based cities. This policy has positively promoted the GTP of mature cities (e.g., Panzhihua City) and declining cities (e.g., Jiaozuo City), while it has not significantly promoted the GTP of growth cities and regenerative cities. These findings can provide a reference for the optimization and improvement of sustainable development policies in resource-based cities in China.
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页数:11
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共 35 条
[1]   Has the popularity of battery electric vehicles in Norway affected total new car sales? A synthetic control method study [J].
Aarstad, Jarle ;
Kvitastein, Olav Andreas .
APPLIED ECONOMICS LETTERS, 2020, 27 (21) :1707-1710
[2]   The economic costs of conflict: A case study of the Basque Country [J].
Abadie, A ;
Gardeazabal, J .
AMERICAN ECONOMIC REVIEW, 2003, 93 (01) :113-132
[3]   Comparative Politics and the Synthetic Control Method [J].
Abadie, Alberto ;
Diamond, Alexis ;
Hainmueller, Jens .
AMERICAN JOURNAL OF POLITICAL SCIENCE, 2015, 59 (02) :495-510
[4]   Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program [J].
Abadie, Alberto ;
Diamond, Alexis ;
Hainmueller, Jens .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2010, 105 (490) :493-505
[5]  
[Anonymous], J CLEANER PRODUCTION
[6]   The State of Applied Econometrics: Causality and Policy Evaluation [J].
Athey, Susan ;
Imbens, Guido W. .
JOURNAL OF ECONOMIC PERSPECTIVES, 2017, 31 (02) :3-32
[7]   Exploring the industrial land use efficiency of China's resource-based cities [J].
Chen, Wei ;
Chen, Wenjun ;
Ning, Siyin ;
Liu, Er-na ;
Zhou, Xue ;
Wang, Yanan ;
Zhao, Minjuan .
CITIES, 2019, 93 :215-223
[8]   Evaluation of economic transformation and upgrading of resource-based cities in Shaanxi province based on an improved TOPSIS method [J].
Chen, Wei ;
Shen, Yue ;
Wang, Yanan .
SUSTAINABLE CITIES AND SOCIETY, 2018, 37 :232-240
[9]   Estimating the impact of the license plate quota policy for ICEVs on new energy vehicle adoption by using synthetic control method [J].
Chi, Yuan-Ying ;
Wang, Yuan-Yuan ;
Xu, Jin-Hua .
ENERGY POLICY, 2021, 149
[10]   The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach [J].
Cole, Matthew A. ;
Elliott, Robert J. R. ;
Liu, Bowen .
ENVIRONMENTAL & RESOURCE ECONOMICS, 2020, 76 (04) :553-580