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The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective


  • Ding, Qun
  • Cai, Wenjia
  • Wang, Can
  • Sanwal, Mukul


The household sector has become the second largest consumer of final energy, ranking only next to the industrial sector in China. Except for the direct energy consumption of the household sector, people’s consumption activities also indirectly affect the energy consumption of multiple production sectors. Previous studies have shed light upon consumer-oriented energy consumption and carbon emission, however, the critical problem of sector-to-sector energy linkages between supply side and demand side has not been fully addressed. Besides, there also lacks sufficient research on the energy conservation potential of residents’ lifestyle change. This paper investigates the direct and indirect impact of household consumption activities on energy consumption in China from the consumers’ lifestyle perspective based on the input-output analysis. The relationship between household energy consumption and industrial energy consumption and the effect of lifestyle change on energy conservation are also considered. It is estimated that China’s energy consumption caused by household consumption activities in 2012 is 29141.97 PJ in total, which accounts for 24.7% of the total final energy consumption. The indirect energy consumption of household consumption activities is 1.35 times more than the direct energy consumption. Housing activities cause the most indirect energy consumption, and the smelting and pressing industry of ferrous metal is the most energy-consuming industrial sector influenced by household consumption. We also find that adopting low-carbon consumption pattern and accelerating the decrease of energy intensity are both effective means to reduce the total energy consumption by scenario analysis. Finally the energy conservation potential by comparing different types of household consumption behaviors is revealed to make policy makers form vivid impressions on the importance of demand side regulation.

Suggested Citation

  • Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
  • Handle: RePEc:eee:appene:v:207:y:2017:i:c:p:520-532
    DOI: 10.1016/j.apenergy.2017.06.003

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    Cited by:

    1. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
    2. Zhang, Junjie & Yu, Biying & Wei, Yi-Ming, 2018. "Heterogeneous impacts of households on carbon dioxide emissions in Chinese provinces," Applied Energy, Elsevier, vol. 229(C), pages 236-252.
    3. Cheng, Xiu & Long, Ruyin & Chen, Hong & Yang, Jiahui, 2019. "Does social interaction have an impact on residents’ sustainable lifestyle decisions? A multi-agent stimulation based on regret and game theory," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    5. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, Open Access Journal, vol. 11(18), pages 1-14, September.
    6. Satoshi Nakano & Ayu Washizu, 2019. "In Which Time Slots Can People Save Power? An Analysis Using a Japanese Survey on Time Use," Sustainability, MDPI, Open Access Journal, vol. 11(16), pages 1-18, August.
    7. Long, Yin & Yoshida, Yoshikuni & Fang, Kai & Zhang, Haoran & Dhondt, Maya, 2019. "City-level household carbon footprint from purchaser point of view by a modified input-output model," Applied Energy, Elsevier, vol. 236(C), pages 379-387.
    8. Rui Huang & Shaohui Zhang & Changxin Liu, 2018. "Comparing Urban and Rural Household CO 2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing," Energies, MDPI, Open Access Journal, vol. 11(5), pages 1-17, May.
    9. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-17, July.
    10. Song Han & Changqing Lin & Baosheng Zhang & Arash Farnoosh, 2019. "Projections and Recommendations for Energy Structure and Industrial Structure Development in China through 2030: A System Dynamics Model," Sustainability, MDPI, Open Access Journal, vol. 11(18), pages 1-20, September.
    11. Jiang, Lei & He, Shixiong & Tian, Xi & Zhang, Bo & Zhou, Haifeng, 2020. "Energy use embodied in international trade of 39 countries: Spatial transfer patterns and driving factors," Energy, Elsevier, vol. 195(C).
    12. Chen, Guangwu & Zhu, Yuhan & Wiedmann, Thomas & Yao, Lina & Xu, Lixiao & Wang, Yafei, 2019. "Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models," Applied Energy, Elsevier, vol. 250(C), pages 1321-1335.
    13. Shaik, Saleem & Yeboah, Osei-Agyeman, 2018. "Does climate influence energy demand? A regional analysis," Applied Energy, Elsevier, vol. 212(C), pages 691-703.
    14. Song Han & Changqing Lin & Baosheng Zhang & Arash Farnoosh, 2019. "Projections and Recommendations for Energy Structure and Industrial Structure Development in China through 2030: A System Dynamics Model," Post-Print hal-02408957, HAL.
    15. Nadimi, Reza & Tokimatsu, Koji, 2018. "Modeling of quality of life in terms of energy and electricity consumption," Applied Energy, Elsevier, vol. 212(C), pages 1282-1294.


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