How does green technology innovation affect urban carbon emissions? Evidence from Chinese cities

被引:8
作者
Lu, Xinhui [1 ,2 ,3 ]
Lu, Zirui [1 ,3 ]
机构
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China
[2] Minist Educ, Philosophy & Social Sci Lab Data Sci & Smart Soc G, Hefei 230009, Peoples R China
[3] Hefei Univ Technol, Anhui Prov Key Lab Philosophy & Social Sci Energy, Hefei 230009, Peoples R China
基金
中国国家自然科学基金;
关键词
Green technology innovation; Carbon emission reduction effects; Carbon intensity; Nonlinear effect; Spatial spillover effects;
D O I
10.1016/j.enbuild.2024.115025
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Green technology innovation is regarded as a key catalyst for sustainable urban development. This study mainly utilizes 278 Chinese cities data from the China Urban Statistical Yearbook, adopting ordinary least squares (OLS) and mediation effect model to investigate the dual impact and mechanism of green technology innovation on urban carbon emissions. Besides, spatial Durbin model (SDM) and threshold model are employed to examine spillover and non-linear impact. The results indicate that: (1) Green technology innovation can significantly mitigate carbon emission intensity, but cannot reduce carbon emissions. Thus, both carbon emission reduction effect and rebound effect coexist, and there is heterogeneity across different cities. (2) Green technology innovation has the potential to decrease carbon intensity through optimizing energy intensity, government participation and basic life cleanliness. (3) There is a spatial spillover effect concerning the emission reduction impact of green technology innovation. (4) The relationship between carbon emission intensity and green technology innovation exhibits a non-linear impact under varying levels of energy intensity, government participation, industrial structure rationalization, and environmental regulation. Building upon these findings, policy recommendations outlined in this study encompass the reinforcement of technological utilization, avoidance of excessive governmental intervention, and adoption of strategies for regional connectivity and differentiation.
引用
收藏
页数:13
相关论文
共 50 条
[31]   Could Green Technology Innovation Help Economy Achieve Carbon Neutrality Development-Evidence From Chinese Cities [J].
Pu, Zhengning ;
Liu, Jingyu ;
Yang, Mingyan .
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
[32]   Does carbon emissions trading promote green technology innovation in China? [J].
Zhang, Wei ;
Li, Guoxiang ;
Guo, Fanyong .
APPLIED ENERGY, 2022, 315
[33]   Does the coupling of digital and green technology innovation matter for carbon emissions? [J].
Liu, Zhenyuan ;
Du, Shiyi ;
Zhang, Lu ;
Xie, Jialong ;
Wang, Xiuting .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 373
[34]   How does green technology innovation affect green growth in ASEAN-6 countries? Evidence from advance panel estimations [J].
Suki, Norazah Mohd ;
Suki, Norbayah Mohd ;
Afshan, Sahar ;
Sharif, Arshian ;
Kasim, Mohd Ariff ;
Hanafi, Siti Rosmaini Mohd .
GONDWANA RESEARCH, 2022, 111 :165-173
[35]   How does digital trade development affect carbon emissions? Evidence from China [J].
Yang, Mengyang ;
Liu, Yawen ;
Wang, Jingle ;
Tang, Xiaobin .
ECONOMIC ANALYSIS AND POLICY, 2025, 85 :1475-1491
[36]   How does green technology innovation affect urbanization? An empirical study from provinces of China [J].
Xu, Yingzhi ;
Zhang, Ruijie ;
Fan, Xiaomin ;
Wang, Qiutong .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (24) :36626-36639
[37]   How does green technology innovation affect urbanization? An empirical study from provinces of China [J].
Yingzhi Xu ;
Ruijie Zhang ;
Xiaomin Fan ;
Qiutong Wang .
Environmental Science and Pollution Research, 2022, 29 :36626-36639
[38]   How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis [J].
Kedong Yin ;
Fangfang Cai ;
Chong Huang .
Environmental Science and Pollution Research, 2023, 30 :28066-28090
[39]   How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis [J].
Yin, Kedong ;
Cai, Fangfang ;
Huang, Chong .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (10) :28066-28090
[40]   How does the Chinese pilot policy on information consumption affect carbon emissions? [J].
Liu, Lina ;
Chen, Minghao ;
Wang, Hui ;
Liu, Bei .
SUSTAINABLE PRODUCTION AND CONSUMPTION, 2023, 41 :88-106