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

Author

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  • 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
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    as
    1. 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.
    2. 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.
    3. Krystyna Stave, 2010. "Participatory System Dynamics Modeling for Sustainable Environmental Management: Observations from Four Cases," Sustainability, MDPI, vol. 2(9), pages 1-23, September.
    4. Unknown, 2014. "Media Coverage 2014," 2014: Ethics, Efficiency and Food Security: Feeding the 9 Billion, Well, 26-28 August 2014 225573, Crawford Fund.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Menegaki, Angeliki, 2008. "Valuation for renewable energy: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2422-2437, December.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
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