IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i2p213-d89432.html
   My bibliography  Save this article

Study on the Evolution Mechanism and Development Forecasting of China’s Power Supply Structure Clean Development

Author

Listed:
  • Xiaohua Song

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

  • Xubei Zhang

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

  • Yun Long

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

  • Yiwei Guo

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

Abstract

The clean development of China’s power supply structure has become a crucial strategic problem for the low-carbon, green development of Chinese society. Considering the subsistent developments of optimized allocation of energy resources and efficient utilization, the urgent need to solve environmental pollution, and the continuously promoted power market-oriented reform, further study of China’s power structure clean development has certain theoretical value. Based on the data analysis, this paper analyzes the key factors that influence the evolution process of the structure with the help of system dynamics theory and carries out comprehensive assessments after the construction of the structure evaluation system. Additionally, a forecasting model of the power supply structure development based on the Vector Autoregressive Model (VAR) has been put forward to forecast the future structure. Through the research of policy review and scenario analysis, the paths and directions of structure optimization are proposed. In this paper, the system dynamics, vector autoregressive model (VAR), policy mining, and scenario analysis methods are combined to systematically demonstrate the evolution of China’s power structure, and predict the future direction of development. This research may provide a methodological and practical reference for the analysis of China’s power supply structure optimization development and for theoretical studies.

Suggested Citation

  • Xiaohua Song & Xubei Zhang & Yun Long & Yiwei Guo, 2017. "Study on the Evolution Mechanism and Development Forecasting of China’s Power Supply Structure Clean Development," Sustainability, MDPI, vol. 9(2), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:2:p:213-:d:89432
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/2/213/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/9/2/213/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qudrat-Ullah, Hassan & Seong, Baek Seo, 2010. "How to do structural validity of a system dynamics type simulation model: The case of an energy policy model," Energy Policy, Elsevier, vol. 38(5), pages 2216-2224, May.
    2. Hirst, Eric & Hild, Jeffrey, 2004. "The Value of Wind Energy as a Function of Wind Capacity," The Electricity Journal, Elsevier, vol. 17(6), pages 11-20, July.
    3. Du, Limin & Mao, Jie & Shi, Jinchuan, 2009. "Assessing the impact of regulatory reforms on China's electricity generation industry," Energy Policy, Elsevier, vol. 37(2), pages 712-720, February.
    4. Zhao, Zhen-Yu & Chen, Yu-Long & Chang, Rui-Dong, 2016. "How to stimulate renewable energy power generation effectively? – China's incentive approaches and lessons," Renewable Energy, Elsevier, vol. 92(C), pages 147-156.
    5. El-Kordy, M.N & Badr, M.A & Abed, K.A & Ibrahim, Said M.A, 2002. "Economical evaluation of electricity generation considering externalities," Renewable Energy, Elsevier, vol. 25(2), pages 317-328.
    6. Feng, Yi & Lin, Heyun & Ho, S.L. & Yan, Jianhu & Dong, Jianning & Fang, Shuhua & Huang, Yunkai, 2015. "Overview of wind power generation in China: Status and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 847-858.
    7. Menegaki, Angeliki, 2008. "Valuation for renewable energy: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2422-2437, December.
    8. Yuan, Xueliang & Zuo, Jian, 2011. "Transition to low carbon energy policies in China--from the Five-Year Plan perspective," Energy Policy, Elsevier, vol. 39(6), pages 3855-3859, June.
    9. Murata, A. & Liang, J. & Eto, R. & Tokimatsu, K. & Okajima, K. & Uchiyama, Y., 2016. "Environmental co-benefits of the promotion of renewable power generation in China and India through clean development mechanisms," Renewable Energy, Elsevier, vol. 87(P1), pages 120-129.
    10. Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
    11. Siddiqui, Afzal S. & Marnay, Chris & Wiser, Ryan H., 2007. "Real options valuation of US federal renewable energy research, development, demonstration, and deployment," Energy Policy, Elsevier, vol. 35(1), pages 265-279, January.
    12. Ebohon, Obas John & Ikeme, Anthony Jekwu, 2006. "Decomposition analysis of CO2 emission intensity between oil-producing and non-oil-producing sub-Saharan African countries," Energy Policy, Elsevier, vol. 34(18), pages 3599-3611, December.
    13. Liu, Li-qun & Liu, Chun-xia & Wang, Jing-si, 2013. "Deliberating on renewable and sustainable energy policies in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 191-198.
    14. Carolin Mabel, M. & Fernandez, E., 2008. "Analysis of wind power generation and prediction using ANN: A case study," Renewable Energy, Elsevier, vol. 33(5), pages 986-992.
    15. Chen, Qixin & Kang, Chongqing & Ming, Hao & Wang, Zeyu & Xia, Qing & Xu, Guoxin, 2014. "Assessing the low-carbon effects of inter-regional energy delivery in China's electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 671-683.
    16. Krystyna Stave, 2010. "Participatory System Dynamics Modeling for Sustainable Environmental Management: Observations from Four Cases," Sustainability, MDPI, vol. 2(9), pages 1-23, September.
    17. Khanna, Nina Zheng & Zhou, Nan & Fridley, David & Ke, Jing, 2016. "Quantifying the potential impacts of China's power-sector policies on coal input and CO2 emissions through 2050: A bottom-up perspective," Utilities Policy, Elsevier, vol. 41(C), pages 128-138.
    18. Hosseini, Seyed Hossein & Shakouri G., Hamed, 2016. "A study on the future of unconventional oil development under different oil price scenarios: A system dynamics approach," Energy Policy, Elsevier, vol. 91(C), pages 64-74.
    19. Unknown, 2014. "Media Coverage 2014," 2014: Ethics, Efficiency and Food Security: Feeding the 9 Billion, Well, 26-28 August 2014 225573, Crawford Fund.
    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. Dehghan, Hamed & Amin-Naseri, Mohammad Reza & Nahavandi, Nasim, 2021. "A system dynamics model to analyze future electricity supply and demand in Iran under alternative pricing policies," Utilities Policy, Elsevier, vol. 69(C).
    2. James D. A. Millington & Hang Xiong & Steve Peterson & Jeremy Woods, 2017. "Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use," Land, MDPI, vol. 6(3), pages 1-18, August.
    3. Balibrea-Iniesta, José & Rodríguez-Monroy, Carlos & Núñez-Guerrero, Yilsy María, 2021. "Economic analysis of the German regulation for electrical generation projects from biogas applying the theory of real options," Energy, Elsevier, vol. 231(C).
    4. José Balibrea-Iniesta, 2020. "Economic Analysis of Renewable Energy Regulation in France: A Case Study for Photovoltaic Plants Based on Real Options," Energies, MDPI, vol. 13(11), pages 1-19, June.
    5. Hosseini, Seyed Hossein & Shakouri G., Hamed & Kazemi, Aliyeh, 2021. "Oil price future regarding unconventional oil production and its near-term deployment: A system dynamics approach," Energy, Elsevier, vol. 222(C).
    6. Musa, S. Danlami & Zhonghua, Tang & Ibrahim, Abdullateef O. & Habib, Mukhtar, 2018. "China's energy status: A critical look at fossils and renewable options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2281-2290.
    7. Luo, Shihua & Hu, Weihao & Liu, Wen & Zhang, Zhenyuan & Bai, Chunguang & Huang, Qi & Chen, Zhe, 2022. "Study on the decarbonization in China's power sector under the background of carbon neutrality by 2060," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    8. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    9. 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.
    10. Monjas-Barroso, Manuel & Balibrea-Iniesta, José, 2013. "Valuation of projects for power generation with renewable energy: A comparative study based on real regulatory options," Energy Policy, Elsevier, vol. 55(C), pages 335-352.
    11. Zhong-Hua Tian & Ze-Liang Yang, 2016. "Scenarios of Carbon Emissions from the Power Sector in Guangdong Province," Sustainability, MDPI, vol. 8(9), pages 1-14, August.
    12. Li, Mingquan & Patiño-Echeverri, Dalia & Zhang, Junfeng (Jim), 2019. "Policies to promote energy efficiency and air emissions reductions in China's electric power generation sector during the 11th and 12th five-year plan periods: Achievements, remaining challenges, and ," Energy Policy, Elsevier, vol. 125(C), pages 429-444.
    13. Ohler, Adrienne M., 2014. "Behavior of the firm under rate-of-return regulation with two capital inputs," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 61-69.
    14. Loncar, Dragan & Milovanovic, Ivan & Rakic, Biljana & Radjenovic, Tamara, 2017. "Compound real options valuation of renewable energy projects: The case of a wind farm in Serbia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 354-367.
    15. Jeon, Chanwoong & Lee, Jeongjin & Shin, Juneseuk, 2015. "Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case," Applied Energy, Elsevier, vol. 142(C), pages 33-43.
    16. Kyung-Taek Kim & Deok-Joo Lee & Donghyun An, 2020. "Real Option Valuation of the R&D Investment in Renewable Energy Considering the Effects of the Carbon Emission Trading Market: A Korean Case," Energies, MDPI, vol. 13(3), pages 1-17, February.
    17. Barroso, Manuel Monjas & Iniesta, José Balibrea, 2014. "A valuation of wind power projects in Germany using real regulatory options," Energy, Elsevier, vol. 77(C), pages 422-433.
    18. Kim, Kyung-Taek & Lee, Deok-Joo & Park, Sung-Joon, 2014. "Evaluation of R&D investments in wind power in Korea using real option," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 335-347.
    19. Valdivia, Miguel & Galan, Jose Luis & Laffarga, Joaquina & Ramos, Juan-Luis, 2020. "A research and technology valuation model for decision analysis in the environmental and renewable energy sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    20. Zeng, Ming & Yang, Yongqi & Wang, Lihua & Sun, Jinghui, 2016. "The power industry reform in China 2015: Policies, evaluations and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 94-110.

    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:9:y:2017:i:2:p:213-:d:89432. 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.