[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i1p256-d127788.html
   My bibliography  Save this article

Influencing Factors and Development Trend Analysis of China Electric Grid Investment Demand Based on a Panel Co-Integration Model

Author

Listed:
  • Jinchao Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Changping, Beijing 102206, China)

  • Lin Chen

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yuwei Xiang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jinying Li

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Dong Peng

    (State Power Economic Research Institute China State Grid Corp, Beijing 102209, China)

Abstract
Electric grid investment demand analysis is significant to reasonably arranging construction funds for the electric grid and reduce costs. This paper used the panel data of electric grid investment from 23 provinces of China between 2004 and 2016 as samples to analyze the influence between electric grid investment demand and GDP, population scale, social electricity consumption, installed electrical capacity, and peak load based on co-integration tests. We find that GDP and peak load have positive influences on electric grid investment demand, but the impact of population scale, social electricity consumption, and installed electrical capacity on electric grid investment is not remarkable. We divide different regions in China into the eastern region, central region, and western region to analyze influence factors of electric grid investment, finally obtaining key factors in the eastern, central, and western regions. In the end, according to the analysis of key factors, we make a prediction about China’s electric grid investment for 2020 in different scenarios. The results offer a certain understanding for the development trend of China’s electric grid investment and contribute to the future development of electric grid investment.

Suggested Citation

  • Jinchao Li & Lin Chen & Yuwei Xiang & Jinying Li & Dong Peng, 2018. "Influencing Factors and Development Trend Analysis of China Electric Grid Investment Demand Based on a Panel Co-Integration Model," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:256-:d:127788
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/1/256/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/1/256/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.
    2. Cambini, Carlo & Meletiou, Alexis & Bompard, Ettore & Masera, Marcelo, 2016. "Market and regulatory factors influencing smart-grid investment in Europe: Evidence from pilot projects and implications for reform," Utilities Policy, Elsevier, vol. 40(C), pages 36-47.
    3. Kucsera, Dénes & Rammerstorfer, Margarethe, 2014. "Regulation and grid expansion investment with increased penetration of renewable generation," Resource and Energy Economics, Elsevier, vol. 37(C), pages 184-200.
    4. Shi, Xunpeng & Liu, Xiying & Yao, Lixia, 2016. "Assessment of instruments in facilitating investment in off-grid renewable energy projects," Energy Policy, Elsevier, vol. 95(C), pages 437-446.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mingyu Li & Dongxiao Niu & Zhengsen Ji & Xiwen Cui & Lijie Sun, 2021. "Forecast Research on Multidimensional Influencing Factors of Global Offshore Wind Power Investment Based on Random Forest and Elastic Net," Sustainability, MDPI, vol. 13(21), pages 1-19, November.
    2. Paul Anton Verwiebe & Stephan Seim & Simon Burges & Lennart Schulz & Joachim Müller-Kirchenbauer, 2021. "Modeling Energy Demand—A Systematic Literature Review," Energies, MDPI, vol. 14(23), pages 1-58, November.
    3. Suqi Zhang & Ningjing Zhang & Ziqi Zhang & Ying Chen, 2022. "Electric Power Load Forecasting Method Based on a Support Vector Machine Optimized by the Improved Seagull Optimization Algorithm," Energies, MDPI, vol. 15(23), pages 1-17, December.
    4. Xie, Minghua & Yi, Xiangyu & Liu, Kui & Sun, Chuanwang & Kong, Qingbao, 2023. "How much natural gas does China need: An empirical study from the perspective of energy transition," Energy, Elsevier, vol. 266(C).

    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. He, Y.X. & Jiao, J. & Chen, R.J. & Shu, H., 2018. "The optimization of Chinese power grid investment based on transmission and distribution tariff policy: A system dynamics approach," Energy Policy, Elsevier, vol. 113(C), pages 112-122.
    2. Bertolini, Marina & D'Alpaos, Chiara & Moretto, Michele, 2018. "Do Smart Grids boost investments in domestic PV plants? Evidence from the Italian electricity market," Energy, Elsevier, vol. 149(C), pages 890-902.
    3. Sarah Armitage & Noël Bakhtian & Adam Jaffe, 2024. "Innovation Market Failures and the Design of New Climate Policy Instruments," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 5(1), pages 4-48.
    4. Zhishuang Zhu & Hua Liao, 2019. "Do subsidies improve the financial performance of renewable energy companies? Evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 241-256, January.
    5. Cambini, Carlo & Soroush, Golnoush, 2019. "Designing grid tariffs in the presence of distributed generation," Utilities Policy, Elsevier, vol. 61(C).
    6. Marques, Vítor & Costa, Paulo Moisés & Bento, Nuno, 2022. "Greater than the sum: On regulating innovation in electricity distribution networks with externalities," Utilities Policy, Elsevier, vol. 79(C).
    7. Cui, Jingbo & Liu, Xi & Sun, Yongping & Yu, Haishan, 2020. "Can CDM projects trigger host countries’ innovation in renewable energy? Evidence of firm-level dataset from China," Energy Policy, Elsevier, vol. 139(C).
    8. Baringo, L. & Conejo, A.J., 2011. "Wind power investment within a market environment," Applied Energy, Elsevier, vol. 88(9), pages 3239-3247.
    9. Wang, Yongli & Zhou, Minhan & Zhang, Fuli & Zhang, Yuli & Ma, Yuze & Dong, Huanran & Zhang, Danyang & Liu, Lin, 2021. "Chinese grid investment based on transmission and distribution tariff policy: An optimal coordination between capacity and demand," Energy, Elsevier, vol. 219(C).
    10. Di Foggia, Giacomo & Beccarello, Massimo, 2018. "Improving efficiency in the MSW collection and disposal service combining price cap and yardstick regulation: The Italian case," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 79, pages 223-231.
    11. Li, Yan & Zhang, Qi & Wang, Ge & McLellan, Benjamin & Liu, Xue Fei & Wang, Le, 2018. "A review of photovoltaic poverty alleviation projects in China: Current status, challenge and policy recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 214-223.
    12. León-Vielma, J.E. & Ramos-Real, F.J. & Hernández Hernández, J.F., 2022. "The collapse of Venezuela's electricity sector from an energy governance perspective," Energy Policy, Elsevier, vol. 167(C).
    13. Meletiou, Alexis & Cambini, Carlo & Masera, Marcelo, 2018. "Regulatory and ownership determinants of unbundling regime choice for European electricity transmission utilities," Utilities Policy, Elsevier, vol. 50(C), pages 13-25.
    14. Alemu Moges Belay & Sanket Puranik & Ramon Gallart-Fernández & Heidi Tuiskula & Joaquim Melendez & Ilias Lamprinos & Francisco Díaz-González & Miha Smolnikar, 2021. "Developing Novel Technologies and Services for Intelligent Low Voltage Electricity Grids: Cost–Benefit Analysis and Policy Implications," Energies, MDPI, vol. 15(1), pages 1-25, December.
    15. Cansino, José M. & Román, Rocío & Colinet, María J., 2018. "Two smart energy management models for the Spanish electricity system," Utilities Policy, Elsevier, vol. 50(C), pages 60-72.
    16. Castellini, Marta & Menoncin, Francesco & Moretto, Michele & Vergalli, Sergio, 2021. "Photovoltaic Smart Grids in the prosumers investment decisions: a real option model," Journal of Economic Dynamics and Control, Elsevier, vol. 126(C).
    17. Gaspari, Michele & Lorenzoni, Arturo, 2018. "The governance for distributed energy resources in the Italian electricity market: A driver for innovation?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3623-3632.
    18. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    19. Pereira, Guillermo Ivan & Specht, Jan Martin & Silva, Patrícia Pereira & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," Energy Policy, Elsevier, vol. 121(C), pages 426-440.
    20. Francesca Andreolli & Chiara D'Alpaos & Peter Kort, 2023. "Does P2P Trading Favor Investments in PV-Battery Systems?," Working Papers 2023.02, Fondazione Eni Enrico Mattei.

    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:gam:jsusta:v:10:y:2018:i:1:p:256-:d:127788. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.