Evaluation of Carbon Reduction Effect of the Low-Carbon Policy: Evidence from 47 Low-Carbon Pilot Cities of China

被引:0
作者
Zhao, Xiaochun [1 ]
Wu, Zijun [1 ]
机构
[1] Anhui Univ, Sch Management, Hefei 230601, Peoples R China
来源
POLISH JOURNAL OF ENVIRONMENTAL STUDIES | 2025年 / 34卷 / 05期
关键词
low-carbon city pilot policy; carbon emission intensity; propensity score matching-double difference model; quasi-natural experiment; EMISSIONS;
D O I
10.15244/pjoes/191402
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on panel data from 204 prefecture-level cities in China spanning from 2010 to 2019, this study examines the low-carbon city pilot program as a quasi-natural experiment. The propensity score matching-double difference model (PSM-DID) is utilized to analyze the effects of the low-carbon city pilot policy on carbon emission intensity. The research findings found: Firstly, the low-carbon city pilot policy has significantly reduced the intensity of urban carbon emissions. Secondly, the primary factors contributing to the reduction in urban carbon emissions intensity due to the low-carbon city pilot policy include adjustments in industrial structure, energy consumption control, and advancements in green technology innovation. Thirdly, heterogeneity analysis indicates that the impacts of the low-carbon city pilot policy differ across various regions. Resource cities, eastern cities, as well as cities in the southeast and northwest regions, experience significant effects.
引用
收藏
页码:5455 / 5466
页数:12
相关论文
共 31 条
[1]   Does the Indonesian farmer empowerment policy enhance the professional farmer? Empirical evidence based on the difference-in-difference approach [J].
Adam, Lukman ;
Jin, Jia ;
Khan, Anwar .
TECHNOLOGY IN SOCIETY, 2022, 68
[2]   Role of information and communication technology, economic growth, financial development and renewable energy consumption towards the sustainable environment: Insights from ASEAN countries [J].
Amin, Nabila ;
Song, Huaming ;
Ali, Muhammad .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (38) :89381-89394
[3]   Optimizing the Development Area to take the lead in Peaks-based on Location Quotient Analysis [J].
An, Kangjing ;
Wang, Xinzhi .
2019 5TH INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING, 2019, 295
[4]   Carbon intensity of in-situ oil sands operations with direct contact steam generation lower than that of once-through steam generation [J].
Ashoori, Samaneh ;
Gates, Ian D. .
JOURNAL OF CLEANER PRODUCTION, 2022, 367
[5]   Utilisation of rehabilitation due to mental disorders during the SARS-CoV-2 pandemic: a difference-in-differences analysis [J].
Bethge, Matthias ;
Fauser, David ;
Zollmann, Pia ;
Streibelt, Marco .
BMC PSYCHIATRY, 2023, 23 (01)
[6]   Propensity Score Methods and Difference-in-Differences with an Exogenous Time-Varying Confounder: Evaluation of Methods [J].
Boedeker, Peter .
JOURNAL OF RESEARCH ON EDUCATIONAL EFFECTIVENESS, 2023, 16 (03) :377-397
[7]   Imperfect emissions information during flight choices and the role of CO2 labelling [J].
Carroll, James ;
Brazil, William ;
Howard, Michael ;
Denny, Eleanor .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 165
[8]   Decoupling economic growth from building embodied carbon emissions in China: A nighttime light data-based innovation approach [J].
Du, Xiaoyun ;
Yu, Yangyang ;
Ahenkora, Boamah Fredrick ;
Pang, Yifan .
SUSTAINABLE PRODUCTION AND CONSUMPTION, 2023, 43 :34-45
[9]   Does information and communication technologies improve environmental quality in the era of globalization? An empirical analysis [J].
Haseeb, Abdul ;
Xia, Enjun ;
Saud, Shah ;
Ahmad, Ashfaq ;
Khurshid, Hamid .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (09) :8594-8608
[10]   The pressure of coal consumption on China's carbon dioxide emissions: A spatial and temporal perspective [J].
Kao, Xiaoxuan ;
Liu, Yang ;
Wang, Wensheng ;
Wen, Qianyun ;
Zhang, Pan .
ATMOSPHERIC POLLUTION RESEARCH, 2024, 15 (08)