Industrial agglomeration, FDI, and carbon emissions: new evidence from China's service industry

被引:4
作者
Wu, Xiaoli [1 ]
Zhu, Mengjie [2 ]
Pan, An [3 ]
Wang, Xuliang [3 ]
机构
[1] Shaoxing Univ, Business Sch, Shaoxing 312000, Peoples R China
[2] Wuhan Univ Technol, Sch Econ, Wuhan 430070, Peoples R China
[3] Zhongnan Univ Econ & Law, Sch Econ, Wuhan 430073, Peoples R China
关键词
Service industry agglomeration; Carbon emissions from services; Foreign direct investment (FDI); Moderating effect; Industry heterogeneity; Regional heterogeneity; ENERGY EFFICIENCY; CO2; EMISSIONS; LOCATION; SECTOR; REDUCTION; TRADE; FIRMS;
D O I
10.1007/s11356-023-31393-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the context of economic servitization and low carbonization, the problem of carbon emissions in the service industry is worthy of attention. An essential channel for restraining carbon emissions from the service industry is industrial agglomeration. Based on provincial panel data from 2004 to 2021 in China, this study empirically analyzes the influence of the service industry's agglomeration on its CO2 emissions. The findings indicate that agglomeration significantly reduces the industry's carbon emissions. Next, producer services agglomeration has a significant carbon-reduction effect, whereas non-producer services agglomeration does not. Moreover, service industry agglomeration helps to restrain carbon emissions from the service industry in East China. However, it does not significantly affect carbon emissions in Central or West China. Regarding the moderating effect, foreign direct investment can enhance service industry agglomeration's carbon-reduction effect. Based on the results, relevant policy implications are provided.
引用
收藏
页码:4946 / 4969
页数:24
相关论文
共 56 条
[41]   Energy efficiency comparison amongst service industry in Chinese provinces from the perspective of heterogeneous resource endowment: Analysis using undesirable super efficiency SBM-ML model [J].
Sun, Peng ;
Liu, Lili ;
Qayyum, Muhammad .
JOURNAL OF CLEANER PRODUCTION, 2021, 328
[42]   The carbon emissions level of China's service industry: an analysis of characteristics and influencing factors [J].
Sun, Ying ;
Qian, Long ;
Liu, Zhi .
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2022, 24 (12) :13557-13582
[43]   Factors that Influence the Tourism Industry's Carbon Emissions: a Tourism Area Life Cycle Model Perspective [J].
Tang, Chengcai ;
Zhong, Linsheng ;
Ng, Pin .
ENERGY POLICY, 2017, 109 :704-718
[44]   Assessing CO2 emissions in China's commercial sector: Determinants and reduction strategies [J].
Wang, Ailun ;
Lin, Boqiang .
JOURNAL OF CLEANER PRODUCTION, 2017, 164 :1542-1552
[45]   The influencing factors of carbon emissions in the railway transportation industry based on extended LMDI decomposition method: evidence from the BRIC countries [J].
Wang, Meng ;
Zhu, Changzheng ;
Cheng, Ying ;
Du, Wenbo ;
Dong, Sen .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (06) :15490-15504
[46]   Embodied CO2-based optimal design of concrete with fly ash considering stress and carbonation [J].
Wang, Xiao-Yong .
JOURNAL OF SUSTAINABLE CEMENT-BASED MATERIALS, 2021, :71-82
[47]   How does services agglomeration affect the energy efficiency of the service sector? Evidence from China [J].
Wang, Xuliang ;
Xu, Lulu ;
Ye, Qin ;
He, Shi ;
Liu, Yi .
ENERGY ECONOMICS, 2022, 112
[48]   Research on the impact of technical progress on the carbon productivity in China's service industry [J].
Wu, Zhenqiu ;
Huang, Wenying ;
Ge, Yujin ;
Dai, Yue ;
Zu, Fei .
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
[49]   Effects of financial agglomeration on green total factor productivity in Chinese cities: Insights from an empirical spatial Durbin model [J].
Xie, Rui ;
Fu, Wei ;
Yao, Siling ;
Zhang, Qi .
ENERGY ECONOMICS, 2021, 101
[50]   Spatial dynamics and influencing factors of carbon rebound effect in tourism transport: Evidence from the Yangtze-river delta urban agglomeration [J].
Yang, Shasha ;
Duan, Zhicheng ;
Jiang, Xiaokun .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 344