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Measurement of effective energy consumption in China's rural household sector and policy implication

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  • Niu, Shuwen
  • Li, Zhen
  • Qiu, Xin
  • Dai, Runqi
  • Wang, Xiang
  • Qiang, Wenli
  • Hong, Zhenguo

Abstract

To facilitate energy system transition, China needs to further optimize energy structure and improve energy efficiency. Compared with physical energy consumption, effective energy consumption can better reflect the actual household energy consumption level. Based on a review of relevant literatures and official statistics, we first estimated the amounts of biogas, dung and solar energy utilized by rural households, and set up the time series of actual rural household energy consumption. The effective energy consumption was measured by the thermal efficiency of fuels from existing literatures, and main characteristics and trend of energy structure change were revealed. Finally, possible scenarios of energy use in 2030 were analyzed. The results show that per capita physical energy consumption and effective energy consumption reached 546.4 kgce and 142.5 kgce in 2015, respectively. The multiple thermal efficiency of all fuel increased from 16.02% in 1990 to 26.08% in 2015, to which the main contributor was energy structure change rather than physical energy consumption growth. The trends including total energy consumption declining and per capita energy consumption growing will continue until 2030. The shares of clean and efficient non-solid fuels in total energy consumption will further increase, whereas the share of renewable energy will decline.

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  • Niu, Shuwen & Li, Zhen & Qiu, Xin & Dai, Runqi & Wang, Xiang & Qiang, Wenli & Hong, Zhenguo, 2019. "Measurement of effective energy consumption in China's rural household sector and policy implication," Energy Policy, Elsevier, vol. 128(C), pages 553-564.
  • Handle: RePEc:eee:enepol:v:128:y:2019:i:c:p:553-564
    DOI: 10.1016/j.enpol.2019.01.016
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    as
    1. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    2. Cai, Jing & Jiang, Zhigang, 2008. "Changing of energy consumption patterns from rural households to urban households in China: An example from Shaanxi Province, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1667-1680, August.
    3. Kowsari, Reza & Zerriffi, Hisham, 2011. "Three dimensional energy profile:," Energy Policy, Elsevier, vol. 39(12), pages 7505-7517.
    4. Shimei Wu & Xinye Zheng & Chu Wei, 2017. "Measurement of inequality using household energy consumption data in rural China," Nature Energy, Nature, vol. 2(10), pages 795-803, October.
    5. Wang, Changbo & Zhang, Yaoqi & Zhang, Lixiao & Pang, Mingyue, 2016. "Alternative policies to subsidize rural household biogas digesters," Energy Policy, Elsevier, vol. 93(C), pages 187-195.
    6. Chen, Qiu & Liu, Tianbiao, 2017. "Biogas system in rural China: Upgrading from decentralized to centralized?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 933-944.
    7. Cai, Jing & Jiang, Zhigang, 2010. "Energy consumption patterns by local residents in four nature reserves in the subtropical broadleaved forest zone of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 828-834, February.
    8. Niu, Hewen & He, Yuanqing & Desideri, Umberto & Zhang, Peidong & Qin, Hongyi & Wang, Shijin, 2014. "Rural household energy consumption and its implications for eco-environments in NW China: A case study," Renewable Energy, Elsevier, vol. 65(C), pages 137-145.
    9. Pachauri, Shonali & Jiang, Leiwen, 2008. "The household energy transition in India and China," Energy Policy, Elsevier, vol. 36(11), pages 4022-4035, November.
    10. Fan, Jie & Liang, Yu-tian & Tao, An-jun & Sheng, Ke-rong & Ma, Hai-Long & Xu, Yong & Wang, Chuan-Sheng & Sun, Wei, 2011. "Energy policies for sustainable livelihoods and sustainable development of poor areas in China," Energy Policy, Elsevier, vol. 39(3), pages 1200-1212, March.
    11. Zhang, Ming & Guo, Fangyan, 2013. "Analysis of rural residential commercial energy consumption in China," Energy, Elsevier, vol. 52(C), pages 222-229.
    12. Zhang, Ming & Su, Bin, 2016. "Assessing China's rural household energy sustainable development using improved grouped principal component method," Energy, Elsevier, vol. 113(C), pages 509-514.
    13. Zhang, Lixiao & Yang, Zhifeng & Chen, Bin & Chen, Guoqian, 2009. "Rural energy in China: Pattern and policy," Renewable Energy, Elsevier, vol. 34(12), pages 2813-2823.
    14. Kaldellis, J.K. & Kavadias, K.A. & Spyropoulos, G., 2005. "Investigating the real situation of Greek solar water heating market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(5), pages 499-520, October.
    15. Niu, Shuwen & Zhang, Xin & Zhao, Chunsheng & Niu, Yunzhu, 2012. "Variations in energy consumption and survival status between rural and urban households: A case study of the Western Loess Plateau, China," Energy Policy, Elsevier, vol. 49(C), pages 515-527.
    16. Zhou, Zhongren & Wu, Wenliang & Wang, Xiaohua & Chen, Qun & Wang, Ou, 2009. "Analysis of changes in the structure of rural household energy consumption in northern China: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 187-193, January.
    17. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    18. Malla, Sunil & Timilsina, Govinda R, 2014. "Household cooking fuel choice and adoption of improved cookstoves in developing countries : a review," Policy Research Working Paper Series 6903, The World Bank.
    19. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    20. Djanibekov, Utkur & Gaur, Varun, 2018. "Nexus of energy use, agricultural production, employment and incomes among rural households in Uttar Pradesh, India," Energy Policy, Elsevier, vol. 113(C), pages 439-453.
    21. Catania, Peter, 1999. "China's rural energy system and management," Applied Energy, Elsevier, vol. 64(1-4), pages 229-240, September.
    22. Sun, JW, 1996. "Real rural residential energy consumption in China, 1990," Energy Policy, Elsevier, vol. 24(9), pages 827-839, September.
    23. Liu, Wenling & Spaargaren, Gert & Heerink, Nico & Mol, Arthur P.J. & Wang, Can, 2013. "Energy consumption practices of rural households in north China: Basic characteristics and potential for low carbon development," Energy Policy, Elsevier, vol. 55(C), pages 128-138.
    24. Liang, Long & Wu, Wenliang & Lal, Rattan & Guo, Yanbin, 2013. "Structural change and carbon emission of rural household energy consumption in Huantai, northern China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 767-776.
    25. Qier An & Haizhong An & Lang Wang & Xuan Huang, 2014. "Efficiency of household energy utilization in rural China," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 9(2), pages 135-143.
    26. Han, Hongyun & Wu, Shu & Zhang, Zhijian, 2018. "Factors underlying rural household energy transition: A case study of China," Energy Policy, Elsevier, vol. 114(C), pages 234-244.
    Full references (including those not matched with items on IDEAS)

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