IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v285y2023ics0360544223028736.html
   My bibliography  Save this article

Competition intensity of energy flow among Chinese sectors from a two-mode network perspective

Author

Listed:
  • An, Pengli
  • Li, Huajiao
  • Shi, Jianglan
  • Li, Yiming

Abstract

This paper investigates the competition intensity of the energy flow among Chinese sectors by employing input‒output (I–O) analysis, a two-mode complex network and the resource allocation process (RAP). Specifically, there exists energy flow from the upstream sector to different downstream sectors, and there are competitive relationships among these different downstream sectors. Moreover, the total amount of energy consumption is constant, and the amount of energy required by each sector varies. Thus, the competition intensity among sectors also varies. The empirical results are as follows. First, the characteristics of energy flow and the competitive relationship have changed little, which means that the energy structure has almost not changed. Second, the same types of sectors have much closer links, indicating that the competition intensity in these sectors is much stronger. Third, there are two obvious features in the energy competition intensity of sectors: (1) Sectors that experience competition by others for energy are more than sectors that compete with others (2) The competition intensity among sectors and in industry as a whole gradually decrease from 2012 to 2020. This study helps provide insights by analyzing competition intensity and by providing suggestions for energy distribution.

Suggested Citation

  • An, Pengli & Li, Huajiao & Shi, Jianglan & Li, Yiming, 2023. "Competition intensity of energy flow among Chinese sectors from a two-mode network perspective," Energy, Elsevier, vol. 285(C).
    • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223028736
    DOI: 10.1016/j.energy.2023.129479
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223028736
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129479?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Yan & Zheng, Hongmei & Yang, Zhifeng & Su, Meirong & Liu, Gengyuan & Li, Yanxian, 2015. "Multi-regional input–output model and ecological network analysis for regional embodied energy accounting in China," Energy Policy, Elsevier, vol. 86(C), pages 651-663.
    2. Tang, Miaohan & Hong, Jingke & Liu, Guiwen & Shen, Geoffrey Qiping, 2019. "Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach," Energy, Elsevier, vol. 170(C), pages 1191-1201.
    3. An, Pengli & Li, Huajiao & Zhou, Jinsheng & Chen, Fan, 2017. "The evolution analysis of listed companies co-holding non-listed financial companies based on two-mode heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 558-568.
    4. Jiang, Meihui & An, Haizhong & Guan, Qing & Sun, Xiaoqi, 2018. "Global embodied mineral flow between industrial sectors: A network perspective," Resources Policy, Elsevier, vol. 58(C), pages 192-201.
    5. Jun Guan & Xiaoyu Xu & Shan Wu & Lizhi Xing, 2018. "Measurement and simulation of the relatively competitive advantages and weaknesses between economies based on bipartite graph theory," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-28, May.
    6. Brown, M. T. & Herendeen, R. A., 1996. "Embodied energy analysis and EMERGY analysis: a comparative view," Ecological Economics, Elsevier, vol. 19(3), pages 219-235, December.
    7. Zheng, Dazhi & Li, Huimin & Zhu, Xiaowei, 2015. "Herding behavior in institutional investors: Evidence from China’s stock market," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 59-76.
    8. An, Pengli & Zhou, Jinsheng & Li, Huajiao & Sun, Bowen & Shi, Yanli, 2018. "The evolutionary similarity of the co-shareholder relationship network from institutional and non-institutional shareholder perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 439-450.
    9. Teodoro Gallucci & Vesselina Dimitrova & Georgi Marinov, 2019. "Interrelation between Eco-Innovation and Intra-Industry Trade—A Proposal for a Proxy Indicator of Sustainability in the EU Countries," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    10. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    11. Shi, Jianglan & Li, Huajiao & Guan, Jianhe & Sun, Xiaoqi & Guan, Qing & Liu, Xiaojia, 2017. "Evolutionary features of global embodied energy flow between sectors: A complex network approach," Energy, Elsevier, vol. 140(P1), pages 395-405.
    12. Chen, B. & Li, J.S. & Wu, X.F. & Han, M.Y. & Zeng, L. & Li, Z. & Chen, G.Q., 2018. "Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis," Applied Energy, Elsevier, vol. 210(C), pages 98-107.
    13. Sun, Xiaoqi & An, Haizhong & Gao, Xiangyun & Jia, Xiaoliang & Liu, Xiaojia, 2016. "Indirect energy flow between industrial sectors in China: A complex network approach," Energy, Elsevier, vol. 94(C), pages 195-205.
    14. Ren, Bo & Li, Huajiao & Wang, Xingxing & Shi, Jianglan & Ma, Ning & Qi, Yajie, 2022. "The flow of embodied minerals between China's provinces and the world: A nested supply chain network perspective," Resources Policy, Elsevier, vol. 78(C).
    15. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    16. Sai Liang & Yu Feng & Ming Xu, 2015. "Structure of the Global Virtual Carbon Network: Revealing Important Sectors and Communities for Emission Reduction," Journal of Industrial Ecology, Yale University, vol. 19(2), pages 307-320, April.
    17. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    18. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    19. Gu, Fu & Wang, Jiqiang & Guo, Jianfeng & Fan, Ying, 2020. "How the supply and demand of steam coal affect the investment in clean energy industry? Evidence from China," Resources Policy, Elsevier, vol. 69(C).
    20. Zhu, Shuai & Song, Malin & Lim, Ming Kim & Wang, Jianlin & Zhao, Jiajia, 2020. "The development of energy blockchain and its implications for China's energy sector," Resources Policy, Elsevier, vol. 66(C).
    21. Wang, Xibo & Wei, Wendong & Ge, Jianping & Wu, Bin & Bu, Wei & Li, Jiashuo & Yao, Mingtao & Guan, Qing, 2017. "Embodied rare earths flow between industrial sectors in China: A complex network approach," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 363-374.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ren, Bo & Li, Huajiao & Shi, Jianglan & Ma, Ning & Qi, Yajie, 2022. "Detecting the control and dependence relationships within the global embodied energy trade network," Energy, Elsevier, vol. 238(PB).
    2. Ren, Bo & Li, Huajiao & Shi, Jianglan & Liu, Yanxin & Qi, Yajie, 2022. "Identifying the key sectors and paths of the embodied energy in BRICS nations: A weighted multilayer network approach," Energy, Elsevier, vol. 239(PB).
    3. Jinghan Chen & Wen Zhou & Hongtao Yang, 2019. "Is Embodied Energy a Better Starting Point for Solving Energy Security Issues?—Based on an Overview of Embodied Energy-Related Research," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    4. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    5. Zhang, Hui-min & Feng, Tian-tian & Yang, Yi-sheng, 2022. "Influencing factors and critical path of inter-sector embodied heavy rare earth consumption in China," Resources Policy, Elsevier, vol. 75(C).
    6. Yanling Jin & Yi Xu & Rui Li & Changping Zhao & Zhenghui Yuan, 2022. "Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    7. Ren, Bo & Li, Huajiao & Wang, Xingxing & Shi, Jianglan & Ma, Ning & Qi, Yajie, 2022. "The flow of embodied minerals between China's provinces and the world: A nested supply chain network perspective," Resources Policy, Elsevier, vol. 78(C).
    8. Shi, Jianglan & Li, Huajiao & Guan, Jianhe & Sun, Xiaoqi & Guan, Qing & Liu, Xiaojia, 2017. "Evolutionary features of global embodied energy flow between sectors: A complex network approach," Energy, Elsevier, vol. 140(P1), pages 395-405.
    9. Jiang, Meihui & An, Haizhong & Guan, Qing & Sun, Xiaoqi, 2018. "Global embodied mineral flow between industrial sectors: A network perspective," Resources Policy, Elsevier, vol. 58(C), pages 192-201.
    10. Han, Mengyao & Xiong, Jiao & Yang, Yu, 2023. "Comparisons between direct and embodied natural gas networks: Topology, dependency and vulnerability," Energy, Elsevier, vol. 280(C).
    11. Jinghan Chen & Wen Zhou & Hongtao Yang & Zhuofei Wu, 2021. "“Grouping” or “Ride One’s Coattails”?—How Developing Countries along the Belt and Road Satisfy Themselves," Energies, MDPI, vol. 14(12), pages 1-22, June.
    12. Gian Paolo Clemente & Alessandra Cornaro & Rosanna Grassi & Giorgio Rizzini, 2022. "Strategic energy flows in input-output relations: a temporal multilayer approach," Papers 2212.11585, arXiv.org.
    13. Zhang, Shuai & Yang, Dewei & Ji, Yijia & Meng, Haishan & Zhou, Tian & Zhang, Junmei & Yang, Hang, 2024. "Spatio-temporal patterns and cascading risks of embodied energy flows in China," Energy, Elsevier, vol. 298(C).
    14. Tang, Miaohan & Hong, Jingke & Liu, Guiwen & Shen, Geoffrey Qiping, 2019. "Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach," Energy, Elsevier, vol. 170(C), pages 1191-1201.
    15. Zhijun Feng & Wen Zhou & Qian Ming, 2019. "Embodied Energy Flow Patterns of the Internal and External Industries of Manufacturing in China," Sustainability, MDPI, vol. 11(2), pages 1-24, January.
    16. An, Qier & Wang, Lang & Qu, Debin & Zhang, Hujun, 2018. "Dependency network of international oil trade before and after oil price drop," Energy, Elsevier, vol. 165(PA), pages 1021-1033.
    17. Cai, Xiaomei & Liu, Chan & Zheng, Shuxian & Hu, Han & Tan, Zhanglu, 2023. "Analysis on the evolution characteristics of barite international trade pattern based on complex networks," Resources Policy, Elsevier, vol. 83(C).
    18. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    19. Wang, Chengwei & Miao, Wang & Lu, Miaomiao, 2022. "Evolution of the Chinese industrial structure: A social network perspective," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    20. Huan Chen & Lixin Tian & Minggang Wang & Zaili Zhen, 2017. "Analysis of the Dynamic Evolutionary Behavior of American Heating Oil Spot and Futures Price Fluctuation Networks," Sustainability, MDPI, vol. 9(4), pages 1-29, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223028736. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.