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Impacts of Clean Energy Substitution for Polluting Fossil-Fuels in Terminal Energy Consumption on the Economy and Environment in China

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  • Hao Chen

    (Beijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Ling He

    (Beijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Jiachuan Chen

    (Beijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Bo Yuan

    (Beijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Teng Huang

    (Beijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Qi Cui

    (Beijing Key Lab of Study on Sci-tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

Abstract

China has initiated various dedicated policies on clean energy substitution for polluting fossil-fuels since the early 2010s to alleviate severe carbon emissions and environmental pollution and accelerate clean energy transformation. Using the autoregressive integrated moving average (ARIMA) regression, we project the potentials of substituting coal and oil with clean energy for different production sectors in China toward the year 2030. Based on the projections, a dynamic multi-sectoral computable general equilibrium model, CHINAGEM, is employed to examine: the impacts of future clean energy substitution on China’s energy production, outputs of non-energy sectors, macro-economy, and CO 2 emissions. First, we found that most production sectors are projected to replace polluting fossil-fuels with clean energy in their terminal energy consumption in 2017–2030. Second, clean energy substitution enables producing green co-benefits that would enable improvements in energy production structure, reductions in national CO 2 emissions, and better real GDP and employment. Third, technological progress in non-fossil-fuel electricity could further benefit China’s clean and low-carbon energy transformation, accelerating the reduction in CO 2 emissions and clean energy substitution. Furthermore, the most beneficiary are energy-intensive and high carbon-emission sectors owing to the drop in coal and oil prices, while the most negatively affected are the downstream sectors of electricity. Through research, various tentative improvement policies are recommended, including financial support, renewable electricity development, clean energy utilization technology, and clean coal technologies.

Suggested Citation

  • Hao Chen & Ling He & Jiachuan Chen & Bo Yuan & Teng Huang & Qi Cui, 2019. "Impacts of Clean Energy Substitution for Polluting Fossil-Fuels in Terminal Energy Consumption on the Economy and Environment in China," Sustainability, MDPI, vol. 11(22), pages 1-29, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6419-:d:287316
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    References listed on IDEAS

    as
    1. Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
    2. Resul Cesur & Erdal Tekin & Aydogan Ulker, 2017. "Air Pollution and Infant Mortality: Evidence from the Expansion of Natural Gas Infrastructure," Economic Journal, Royal Economic Society, vol. 127(600), pages 330-362, March.
    3. Chai, Jian & Du, Mengfan & Liang, Ting & Sun, Xiaojie Christine & Yu, Ji & Zhang, Zhe George, 2019. "Coal consumption in China: How to bend down the curve?," Energy Economics, Elsevier, vol. 80(C), pages 38-47.
    4. Paltsev, Sergey & Jacoby, Henry D. & Reilly, John M. & Ejaz, Qudsia J. & Morris, Jennifer & O'Sullivan, Francis & Rausch, Sebastian & Winchester, Niven & Kragha, Oghenerume, 2011. "The future of U.S. natural gas production, use, and trade," Energy Policy, Elsevier, vol. 39(9), pages 5309-5321, September.
    5. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2011. "Large-scale integration of wind power into the existing Chinese energy system," Energy, Elsevier, vol. 36(8), pages 4753-4760.
    6. Chen, Han & Chen, Wenying, 2019. "Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China," Applied Energy, Elsevier, vol. 236(C), pages 1049-1061.
    7. Niu, Dong-xiao & Song, Zong-yun & Xiao, Xin-li, 2017. "Electric power substitution for coal in China: Status quo and SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 610-622.
    8. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    9. Arora, Vipin & Cai, Yiyong & Jones, Ayaka, 2016. "The national and international impacts of coal-to-gas switching in the Chinese power sector," Energy Economics, Elsevier, vol. 60(C), pages 416-426.
    10. Gao, Cuixia & Su, Bin & Sun, Mei & Zhang, Xiaoling & Zhang, Zhonghua, 2018. "Interprovincial transfer of embodied primary energy in China: A complex network approach," Applied Energy, Elsevier, vol. 215(C), pages 792-807.
    11. Wang, Yangjie & Chen, Xiaohong & Ren, Shenggang, 2019. "Clean energy adoption and maternal health: Evidence from China," Energy Economics, Elsevier, vol. 84(C).
    12. Mohammadi, Hassan & Su, Lixian, 2010. "International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models," Energy Economics, Elsevier, vol. 32(5), pages 1001-1008, September.
    13. Katsumasa Tanaka & Otávio Cavalett & William J. Collins & Francesco Cherubini, 2019. "Asserting the climate benefits of the coal-to-gas shift across temporal and spatial scales," Nature Climate Change, Nature, vol. 9(5), pages 389-396, May.
    14. Peters, Jeffrey C., 2017. "Natural gas and spillover from the US Clean Power Plan into the Paris Agreement," Energy Policy, Elsevier, vol. 106(C), pages 41-47.
    15. S. A. Roberts, 1982. "A General Class of Holt-Winters Type Forecasting Models," Management Science, INFORMS, vol. 28(7), pages 808-820, July.
    16. Yuan, Chaoqing & Liu, Sifeng & Fang, Zhigeng, 2016. "Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model," Energy, Elsevier, vol. 100(C), pages 384-390.
    17. Yinhua Mai & Peter B. Dixon & Maureen Rimmer, 2010. "CHINAGEM: A Monash-Styled Dynamic CGE Model of China," Centre of Policy Studies/IMPACT Centre Working Papers g-201, Victoria University, Centre of Policy Studies/IMPACT Centre.
    18. Qi, Tianyu & Zhang, Xiliang & Karplus, Valerie J., 2014. "The energy and CO2 emissions impact of renewable energy development in China," Energy Policy, Elsevier, vol. 68(C), pages 60-69.
    19. Yu, Shiwei & Zheng, Shuhong & Li, Xia, 2018. "The achievement of the carbon emissions peak in China: The role of energy consumption structure optimization," Energy Economics, Elsevier, vol. 74(C), pages 693-707.
    20. Wang, Jianliang & Feng, Lianyong & Tverberg, Gail E., 2013. "An analysis of China's coal supply and its impact on China's future economic growth," Energy Policy, Elsevier, vol. 57(C), pages 542-551.
    21. Antonio Nesticò & Francesco Sica, 2017. "The sustainability of urban renewal projects: a model for economic multi-criteria analysis," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 35(4), pages 397-409, July.
    22. Resul Cesur & Erdal Tekin & Aydogan Ulker, 2017. "Air Pollution and Infant Mortality: Evidence from the Expansion of Natural Gas Infrastructure," Economic Journal, Royal Economic Society, vol. 127(600), pages 330-362, March.
    23. Wang, Ke & Feng, Lianyong & Wang, Jianliang & Xiong, Yi & Tverberg, Gail E., 2016. "An oil production forecast for China considering economic limits," Energy, Elsevier, vol. 113(C), pages 586-596.
    24. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    25. Dai, Hancheng & Xie, Xuxuan & Xie, Yang & Liu, Jian & Masui, Toshihiko, 2016. "Green growth: The economic impacts of large-scale renewable energy development in China," Applied Energy, Elsevier, vol. 162(C), pages 435-449.
    26. Wang, Jianliang & Mohr, Steve & Feng, Lianyong & Liu, Huihui & Tverberg, Gail E., 2016. "Analysis of resource potential for China’s unconventional gas and forecast for its long-term production growth," Energy Policy, Elsevier, vol. 88(C), pages 389-401.
    27. He, Yongda & Lin, Boqiang, 2018. "Forecasting China's total energy demand and its structure using ADL-MIDAS model," Energy, Elsevier, vol. 151(C), pages 420-429.
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