Does industrial agglomeration improve effective energy service: An empirical study of China's iron and steel industry

被引:50
|
作者
Wu, Rongxin [1 ]
Lin, Boqiang [1 ,2 ]
机构
[1] Xiamen Univ, Sch Management, China Inst Studies Energy Policy, Xiamen 361005, Fujian, Peoples R China
[2] Innovat Lab Sci & Technol Energy Mat Fujian Prov, Xiamen 361101, Fujian, Peoples R China
关键词
Iron and steel industry; Industrial agglomeration; Effective energy service; Panel threshold model; CO2 EMISSION PERFORMANCE; ELECTRICITY-GENERATION; EFFICIENCY; REDUCTION; PRODUCTIVITY; POLICY; GROWTH; TRANSFORMATION; INDICATORS; ECONOMIES;
D O I
10.1016/j.apenergy.2021.117066
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The iron and steel industry is the critical sector for energy consumption and CO2 emissions in China. From the perspective of industrial agglomeration, this paper explores how much energy is transformed into effective work from 1997 to 2016. The location entropy index is constructed to represent industrial agglomeration, and the DEA model is introduced to capture the iron and steel industry's effective energy service. Then, we apply the panel threshold model to identify the nonlinear relationship between agglomeration and effective energy service. The empirical results show that the iron and steel industry exhibits agglomeration characteristics, with the average location entropy index exceeding 1. The effective energy service experiences a rise and then a fall over the sample period. Besides, industrial agglomeration promotes effective energy service by infrastructure sharing, knowledge spillovers and internal market competition. With the economic growth, the positive influence of agglomeration on effective energy service is increasing. Based on the results, we put forward suggestions to improve the iron and steel industry's effective energy service.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Analysis of carbon emission and energy consumption transfer characteristics of China's iron and steel industry
    Zhang, Yujie
    Yue, Qiang
    Wang, Huanyu
    Wang, Heming
    Du, Tao
    Wang, Qi
    Ji, Wei
    ENERGY, 2025, 318
  • [32] Agglomeration and Innovation: An Empirical Study Based on China's Manufacturing Data
    Li, Zeyang
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2021, 22 (05) : 563 - 573
  • [33] Waste energy recovery and energy efficiency improvement in China's iron and steel industry
    Zhang, Qi
    Zhao, Xiaoyu
    Lu, Hongyou
    Ni, Tuanjie
    Li, Yu
    APPLIED ENERGY, 2017, 191 : 502 - 520
  • [34] Analysis of iron and steel production paths on the energy demand and carbon emission in China’s iron and steel industry
    Qiang Yue
    Xicui Chai
    Yujie Zhang
    Qi Wang
    Heming Wang
    Feng Zhao
    Wei Ji
    Yuqi Lu
    Environment, Development and Sustainability, 2023, 25 : 4065 - 4085
  • [35] Does artificial intelligence improve energy productivity in China's industrial sector? Empirical evidence based on the spatial moderation model
    Rong, Jing
    Wang, Wei
    Zhang, Haijun
    ENERGY & ENVIRONMENT, 2024, 35 (08) : 4026 - 4048
  • [36] Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework
    Song, Yi
    Huang, Jian-Rai
    Feng, Chao
    RESOURCES POLICY, 2018, 59 : 103 - 116
  • [37] The energy conservation and emission reduction potentials in China's iron and steel industry: Considering the uncertainty factor
    Wang, Yihan
    He, Xi
    Jiang, Feng
    JOURNAL OF CLEANER PRODUCTION, 2023, 413
  • [38] Can industrial collaborative agglomeration improve carbon emission efficiency? Empirical evidence from China
    Tian, Hui
    Qin, Jiaqi
    Cheng, Chaoyin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (49) : 107899 - 107920
  • [39] Potential of energy savings and CO2 emission reduction in China's iron and steel industry
    An, Runying
    Yu, Biying
    Li, Ru
    Wei, Yi-Ming
    APPLIED ENERGY, 2018, 226 : 862 - 880
  • [40] Exploring Driving Forces of Green Growth: Empirical Analysis on China's Iron and Steel Industry
    Qin, Xi
    Wang, Xiaoling
    Xu, Yusen
    Wei, Yawen
    SUSTAINABILITY, 2019, 11 (04)