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The Impact of Financial Crisis on Electricity Demand: A Case Study of North China

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  • Huiru Zhao

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

  • Haoran Zhao

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

  • Sen Guo

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

  • Fuqiang Li

    (North China Grid Company Limited, No. 482 Canton Avenue, Beijing Xuanwu District, Beijing 100053, China)

  • Yuou Hu

    (North China Grid Company Limited, No. 482 Canton Avenue, Beijing Xuanwu District, Beijing 100053, China)

Abstract

The electricity consumption and economic growth are highly correlated. The financial crisis in 2008 brought a negative effect on China’s economic growth, which also influenced the electricity consumption. The electricity demand of North China region was also greatly influenced by this financial crisis, the whole social electricity consumption growth rate of which decreased by 14.31% in 2008 compared to that in 2007. In order to analyze the random impulse effect of the financial crisis on the demand of electricity in North China, the monthly data is decomposed into deterministic trend, stochastic impact effect, and periodic trend using the Beveridge-Nelson decomposition method. After comparatively analyzing the impulse effect of the financial crisis on electricity consumption of six provinces in North China, we can draw the conclusions: (1) the electricity consumption of the whole society and the secondary industry are under larger negative impacts, and the random impulse effect of the secondary industry is more intense; and (2) the impact of the financial crisis on the tertiary industry, which is mainly influenced by seasonal changes, is smaller. Finally, some policy implications are proposed.

Suggested Citation

  • Huiru Zhao & Haoran Zhao & Sen Guo & Fuqiang Li & Yuou Hu, 2016. "The Impact of Financial Crisis on Electricity Demand: A Case Study of North China," Energies, MDPI, vol. 9(4), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:4:p:250-:d:66824
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    Cited by:

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    2. Ouyang, Yaofu & Li, Peng, 2018. "On the nexus of financial development, economic growth, and energy consumption in China: New perspective from a GMM panel VAR approach," Energy Economics, Elsevier, vol. 71(C), pages 238-252.
    3. Wang, Hongxia & Zhang, Junfeng & Fang, Hong, 2017. "Electricity footprint of China’s industrial sectors and its socioeconomic drivers," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 98-106.
    4. Yanan Liu & Yixuan Gao & Yu Hao & Hua Liao, 2016. "The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data," Energies, MDPI, vol. 9(10), pages 1-11, October.
    5. Guang, Fengtao & Wen, Le & Sharp, Basil, 2022. "Energy efficiency improvements and industry transition: An analysis of China's electricity consumption," Energy, Elsevier, vol. 244(PA).
    6. Zhao, Pan & Lu, Zhou & Fang, Jianchun & Paramati, Sudharshan Reddy & Jiang, Kai, 2020. "Determinants of renewable and non-renewable energy demand in China," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 202-209.
    7. Ye Fan & Zhicheng Zhang & Xiaoli Zhao & Haitao Yin, 2018. "Interaction between Industrial Policy and Stock Price Volatility: Evidence from China’s Power Market Reform," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    8. Opoku, Eric Evans Osei & Kufuor, Nana Kwabena & Manu, Sylvester Adasi, 2021. "Gender, electricity access, renewable energy consumption and energy efficiency," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    9. Baogui Xin & Wei Peng & Yekyung Kwon & Yanqin Liu, 2019. "Modeling, discretization, and hyperchaos detection of conformable derivative approach to a financial system with market confidence and ethics risk," Papers 1903.12267, arXiv.org, revised Apr 2019.

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