Urban spatial structure and total-factor energy efficiency in Chinese provinces

被引:80
|
作者
Yu, Binbin [1 ]
机构
[1] Zhejiang Gongshang Univ, Sch Econ, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金;
关键词
Poly-centric structure; Mono-centric structure; Energy efficiency; Super-SBM model; Dynamic spatial panel model; CO2; EMISSIONS; PRODUCTIVITY; URBANIZATION; IMPACT; DECENTRALIZATION; AGGLOMERATION; CONSUMPTION; MODELS; CITIES;
D O I
10.1016/j.ecolind.2021.107662
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
International experience shows that the urbanization rate between 30% and 70% is a stage of rapid urban development, which means that more people in China will enter cities in the future. Along with this urbanization process, an important theoretical and practical question posed is whether China should choose a development path that is dominated by large cities or small and medium-sized cities. That is, whether China chooses a monocentric structure or a poly-centric structure, which is more conducive to the improvement of economic efficiency? The reasonable distribution of urban systems is not only a necessary condition for optimizing the spatial allocation of resources and coordinating the development of regional economies, but it is also an important source for improving total-factor energy efficiency. In this paper, a modified Super-SBM model is used to measure China?s total-factor energy efficiency. The mechanism and effect of urban spatial structure on total-factor energy efficiency is then empirically tested using the Dynamic Spatial Panel Model (DSPM). The study found that, for provinces, a poly-centric structure is more conducive to improvements in total-factor energy efficiency with research conclusions still valid following a series of robustness tests. However, the impact of urban spatial structure on total-factor energy efficiency is constrained by regional differences, development stages and city size. On the one hand, compared with the Central and Western regions, the adoption of a mono-centric structure in Eastern provinces is more conducive to improvements in total-factor energy efficiency. On the other hand, improvements in degree of both urbanization and city scale can effectively alleviate the negative impact of a mono-centric structure on total-factor energy efficiency
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Can environmental information disclosure improve total-factor energy efficiency?
    Cheng, Zhonghua
    Zhang, Qi
    Li, Xiang
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2025, 68 (01) : 104 - 131
  • [32] Total-factor ecology efficiency of regions in China
    Yue, Shujing
    Yang, Yang
    Pu, Zhengning
    ECOLOGICAL INDICATORS, 2017, 73 : 284 - 292
  • [33] Air pollution control intensity and ecological total-factor energy efficiency: The moderating effect of ownership structure
    Wang, Qian
    Yuan, Baolong
    JOURNAL OF CLEANER PRODUCTION, 2018, 186 : 373 - 387
  • [34] Total-factor water efficiency of regions in China
    Hu, Jin-Li
    Wang, Shih-Chuan
    Yeh, Fang-Yu
    RESOURCES POLICY, 2006, 31 (04) : 217 - 230
  • [35] China’s industrial green total-factor energy efficiency and its influencing factors: a spatial econometric analysis
    Dalai Ma
    Haiting Xiong
    Fengtai Zhang
    Lei Gao
    Na Zhao
    Guangming Yang
    Qing Yang
    Environmental Science and Pollution Research, 2022, 29 : 18559 - 18577
  • [36] Total-factor energy efficiency of ten major global energy-consuming countries
    Wang, Xuan
    Lu, Yonglong
    Chen, Chunci
    Yi, Xiaojie
    Cui, Haotian
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2024, 137 : 41 - 52
  • [37] China's industrial green total-factor energy efficiency and its influencing factors: a spatial econometric analysis
    Ma, Dalai
    Xiong, Haiting
    Zhang, Fengtai
    Gao, Lei
    Zhao, Na
    Yang, Guangming
    Yang, Qing
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (13) : 18559 - 18577
  • [38] TOTAL-FACTOR ENERGY EFFICIENCY OF REGIONS IN CHINA CONSIDERING NATURAL DISASTER EFFECTS
    Liu, C. N.
    Zhang, L. Y.
    Liu, Y. Q.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2017, 15 (03): : 155 - 169
  • [39] Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path
    Zhou, Pengfei
    Han, Mengyu
    Shen, Yang
    SUSTAINABILITY, 2023, 15 (05)
  • [40] Measurement and Spatial Correlations of Green Total Factor Productivities of Chinese Provinces
    Zhang, Huaping
    Dong, Yue
    SUSTAINABILITY, 2022, 14 (09)