Impact of digital economy on co-benefits of air pollution reduction and carbon reduction: Evidence from Chinese cities

被引:1
作者
Guo, Lixiang [1 ]
Yue, Shujing [1 ,2 ]
机构
[1] Southeast Univ, Sch Econ & Management, Nanjing 211189, Peoples R China
[2] Southeast Univ, Inst Carbon Neutral Dev, Nanjing 211189, Peoples R China
关键词
Digital economy; Co-benefits; Carbon emissions; Air pollution; ENERGY; TRANSFORMATION; QUALITY; PRODUCTIVITY; PERFORMANCE; TECHNOLOGY; TRANSITION; INTERNET; IOT;
D O I
10.1016/j.uclim.2024.102189
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Pursuing co-benefits of air pollution reduction and carbon reduction (co-benefits) is an inevitable choice for the green development of China, with the digital economy (DE) presenting a viable novel opportunity. This study, based on data from 284 prefecture-level cities in China spanning from 2011 to 2021, examines the impact and full chain mechanisms of the DE on co-benefits. The results indicate that both the DE and co-benefits show an increasing trend. A distinct 'east-high, west-low' gradient distribution is observed. The DE significantly enhances co-benefits, with a 0.41 % increase in co-benefits resulting from a 1 % increase in the DE. Heterogeneity analysis reveals that the DE has a more pronounced impact on the carbon reduction effect. For cities located southeast of the Hu-Huanyong Line, urban agglomerations with high levels of integration, and non-resource-based cities, the promoting influence of the DE on co-benefits is stronger. Mechanism analysis indicates that the DE comprehensively enhances co-benefits by reducing energy intensity at the source, increasing public environmental appeal throughout the process, and improving air pollution and carbon emission efficiency through end treatment. Our research offers empirical support and decision-making references for enhancing co-benefits by leveraging the advantages of the DE.
引用
收藏
页数:18
相关论文
共 85 条
[1]   The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization [J].
Al-Raeei, Marwan .
SUSTAINABLE DEVELOPMENT, 2025, 33 (01) :508-517
[2]   Blockchain technology in the energy sector: A systematic review of challenges and opportunities [J].
Andoni, Merlinda ;
Robu, Valentin ;
Flynn, David ;
Abram, Simone ;
Geach, Dale ;
Jenkins, David ;
McCallum, Peter ;
Peacock, Andrew .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 100 :143-174
[3]  
Ayres R.U., 1991, ENVIRON RESOUR ECON, V1, P237, DOI [10.1007/BF00367920, DOI 10.1007/BF00367920]
[4]   The digital economy, industrial structure upgrading, and carbon emission intensity -- empirical evidence from China's provinces [J].
Chang, Hong ;
Ding, Qingyi ;
Zhao, Wanzheng ;
Hou, Na ;
Liu, Wenwen .
ENERGY STRATEGY REVIEWS, 2023, 50
[5]   Digital economy development and haze pollution: evidence from China [J].
Che, Shuai ;
Wang, Jun .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (48) :73210-73226
[6]   Global 1 km x 1 km gridded revised real gross domestic product and electricity consumption during 1992-2019 based on calibrated nighttime light data [J].
Chen, Jiandong ;
Gao, Ming ;
Cheng, Shulei ;
Hou, Wenxuan ;
Song, Malin ;
Liu, Xin ;
Liu, Yu .
SCIENTIFIC DATA, 2022, 9 (01)
[7]   Sources of Authoritarian Responsiveness: A Field Experiment in China [J].
Chen, Jidong ;
Pan, Jennifer ;
Xu, Yiqing .
AMERICAN JOURNAL OF POLITICAL SCIENCE, 2016, 60 (02) :383-400
[8]   The impact of digital economy on carbon total factor productivity: A spatial analysis of major urban agglomerations in China [J].
Chen, Weidong ;
Yao, Lianxiao .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 351
[9]   Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China [J].
Chen, Xiaolan ;
Meng, Qinggang ;
Wang, Kaikai ;
Liu, Yufei ;
Shen, Wanfang .
ECOLOGICAL INDICATORS, 2023, 154
[10]   Has China achieved synergistic reduction of carbon emissions and air pollution? Evidence from 283 Chinese cities [J].
Chen, Yang ;
Zhao, Ziheng ;
Yi, Wen ;
Hong, Jingke ;
Zhang, Bo .
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2023, 103