How does the development of urban agglomeration affect the electricity efficiency of resource-based cities?-An empirical research based on the fsQCA method

被引:10
作者
Xing, Menglin [1 ]
Liu, Xiaojun [1 ,2 ,3 ]
Luo, Fuzhou [1 ]
机构
[1] Xian Univ Architecture & Technol, Sch Management, Xian 710055, Peoples R China
[2] Xian Univ Architecture & Technol, Lab Neuromanagement Engn, Xian 710055, Peoples R China
[3] Key Res Bases Coconstruct & Sharing Human Settleme, Xian 710055, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban agglomeration; Electricity efficiency; Resource-based cities; fsQCA; Agglomeration effect; Diffusion effect; ENERGY EFFICIENCY; CHINA; SPILLOVER; PERSPECTIVE; ECONOMY;
D O I
10.1016/j.seps.2022.101479
中图分类号
F [经济];
学科分类号
02 ;
摘要
Urban agglomeration impacts the electricity efficiency of resource-based cities. Under the background, the paths that lead to high level electricity efficiency are not clear. Therefore, it is difficult to guide the socio-economic planning. This paper assumes that the influence of urban agglomeration includes agglomeration and diffusion effect. Then, this paper uses fuzzy-set qualitative comparative analysis (fsQCA) to explore the paths lead to high-level electricity efficiency. The process includes the measurement of electricity efficiency, the selection and quantification of action conditions, and path analysis. Four main conclusions are obtained. First, the positive impact of urban agglomeration on the electricity efficiency of resource-based cities is achieved through the optimal allocation of regional resources. Second, compared with the paths under diffusion effect, the paths under agglomeration effect are more diversified. Third, the effects of two kinds of paths are obvious: the agglomeration of non-resource-based industries to central cities and the diffusion of green production from central cities. Fourth, the diffusion of green production depends on the sustainability of resource-based cities. The research conclusion can improve the energy and sustainability policies of urban agglomerations and resource-based cities, and the improved policies will improve the efficiency of regional resource allocation and will promote the electricity efficiency and sustainability of resource-based cities.
引用
收藏
页数:9
相关论文
共 57 条
[41]   Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory [J].
Woodside, Arch G. .
JOURNAL OF BUSINESS RESEARCH, 2013, 66 (04) :463-472
[42]   Research on the sustainability promotion mechanisms of industries in China's resource-based cities -- from an ecological perspective [J].
Xing, Menglin ;
Luo, Fuzhou ;
Fang, Yongheng .
JOURNAL OF CLEANER PRODUCTION, 2021, 315
[43]  
Xue YY, 2019, GREEN IND NETW STUD, V6, P121, DOI 10.1007/978-3-319-92931-6_7
[44]   Spatial variation of energy efficiency based on a Super-Slack-Based Measure: Evidence from 104 resource-based cities [J].
Yan, Dan ;
Kong, Ying ;
Ye, Bin ;
Shi, Yukun ;
Zeng, Xinyang .
JOURNAL OF CLEANER PRODUCTION, 2019, 240
[45]  
[杨丹荔 Yang Danli], 2017, [生态科学, Ecologic Science], V36, P64
[46]   Evaluating Sustainable Urbanization of Resource-Based Cities Based on the McKinsey Matrix: Case Study in China [J].
Yang, Wei ;
Jiang, Xiaoli .
JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2018, 144 (01)
[47]   Can China realise its energy-savings goal by adjusting its industrial structure? [J].
Yu, Shiwei ;
Zheng, Shuhong ;
Ba, Guizhi ;
Wei, Yi-Ming .
ECONOMIC SYSTEMS RESEARCH, 2016, 28 (02) :273-293
[48]   How does manufacturing agglomeration affect green economic efficiency? [J].
Yuan, Huaxi ;
Feng, Yidai ;
Lee, Chien-Chiang ;
Cen, Yan .
ENERGY ECONOMICS, 2020, 92
[49]   Measuring the area green efficiency and the influencing factors in urban agglomeration [J].
Yuan, Wenhua ;
Li, Jianchun ;
Meng, Li ;
Qin, Xiaonan ;
Qi, Xiaoxing .
JOURNAL OF CLEANER PRODUCTION, 2019, 241
[50]   Industrial collaborative agglomeration, marketization, and green innovation: Evidence from China's provincial panel data [J].
Zeng, Weiping ;
Li, Lin ;
Huang, Yue .
JOURNAL OF CLEANER PRODUCTION, 2021, 279