Performance characteristics, spatial connection and industry prospects for China's energy storage industry based on Chinese listed companies

被引:3
|
作者
He, Miao [1 ,2 ]
Xiao, Wei [1 ]
Zhou, Jinsheng [3 ]
Zhang, Qiongyi [4 ]
Cui, Liwei [1 ]
机构
[1] Hebei Univ, Sch Econ, Baoding 071002, Peoples R China
[2] Heibei Univ, Res Ctr Resource Utilizat & Environm Protect, Baoding 071002, Peoples R China
[3] China Univ Geosci, Sch Econ & Management, Beijing 100083, Peoples R China
[4] ZHONGHUI ANDA CPA LTD, Hong Kong 999077, Peoples R China
关键词
Energy storage industry; New energy industry; Enterprise performance; Spatial pattern analysis; Industrial chain;
D O I
10.1016/j.est.2023.106907
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
With the goal of energy storage industry marketization, parallel network layout and industry performance promoting are both related and important for industry commercialization. This study analyzes the role of the energy storage industry in the new energy power industry chain from spatial layout connection characteristics and industry performance based on industry enterprises data during the period from 2017 to 2021. The research result shows that: (1) the spatial distribution of China's energy storage industry is uneven between north to south and east to west, and the spatial connection in the southeast coastal areas is higher than that in other regions. (2) although energy storage sub-industries enterprises' performance have improved year by year, it is still on a low level as a whole. There are also trends of higher scale efficiency than technical efficiency and uneven performance between enterprises in sub-industries. Based on the research, it recommends that balance energy storage industry spatial layout, improve battery operation sub-industry which has overall low efficiency, improving energy storage PCS and system integration industry and operating industry technology efficiency, and improve fire control and temperature control industry technical efficiency to get intensive development and more industry scale for promote the overall healthy development of intensive and highly industry development.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Research on the Effect of Business Models on Enterprise Performance Based on Information Technology Industry Listed Companies in China
    Wang, Li
    Zhang, Liangjie
    Wang, Wei
    Xiao, Weiwei
    Wang, Susheng
    2012 IEEE ASIA-PACIFIC SERVICES COMPUTING CONFERENCE (APSCC), 2012, : 98 - 105
  • [22] The Empirical Analysis on the Relationship between S & T Progress and Company Performance of the Listed Companies in Pharmaceutical Industry in China
    Zhang, Ru
    Muo, Runhong
    CONFERENCE ON WEB BASED BUSINESS MANAGEMENT, VOLS 1-2, 2010, : 1030 - 1035
  • [23] Comparative Analysis on Operating Efficiency of China's listed Companies in Real Estate Industry
    Li, W. D.
    CRIOCM2009: INTERNATIONAL SYMPOSIUM ON ADVANCEMENT OF CONSTRUCTION MANAGEMENT AND REAL ESTATE, VOLS 1-6, 2009, : 2722 - 2725
  • [24] Innovation and economic growth in the mining industry: Evidence from China's listed companies
    Fan, Songmei
    Yan, Jingjing
    Sha, Jinghua
    RESOURCES POLICY, 2017, 54 : 25 - 42
  • [25] Study on the Spatial Pattern and Influencing Factors of China's New Energy Vehicle Industry-Based on Data of Relevant Listed Companies from 2008-2021
    Chen, Daoyuan
    Wang, Guoen
    Yuan, Ziwei
    Zhang, Ershen
    SUSTAINABILITY, 2023, 15 (04)
  • [26] Corporate Governance Structure and Performance in the Tourism Industry in the COVID-19 Pandemic: An Empirical Study of Chinese Listed Companies in China
    Jin, Shanyue
    Gao, Yuying
    Xiao, Shufeng
    SUSTAINABILITY, 2021, 13 (21)
  • [27] PROSPECTS OF ENERGY SAVING IN CHINA'S STEEL INDUSTRY.
    Sun Hongzheng
    Kang T'ieh/Iron and Steel (Peking), 1981, 16 (02): : 62 - 68
  • [28] Relevance Study of Inventory Management and Enterprise Value-Based On China's Listed Companies of Pharmaceutical Industry
    Wang Qinhua
    Xiang Wenqi
    2012 INTERNATIONAL ACADEMIC CONFERENCE OF ART ENGINEERING AND CREATIVE INDUSTRY (IACAE 2012), 2012, : 353 - 356
  • [29] The Application of Factor Analysis Model in the Evaluation of the Comprehensive Performance of China Oil Industry Listed Companies
    Wan Huilin
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, VOLS I AND II, 2009, : 1700 - 1706
  • [30] Performance Prediction of Listed Companies in Smart Healthcare Industry: Based on Machine Learning Algorithms
    Dong, Baobao
    Wang, Xiangming
    Cao, Qi
    JOURNAL OF HEALTHCARE ENGINEERING, 2022, 2022