Open Access
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
Article Number 01034
Number of page(s) 4
Section Research on Energy Technology Application and Consumption Structure
Published online 11 December 2020
  1. Schipper L, Bartlett, et al. Linking life-styles and energy use:a matter of Time[M]. Annual Review of Energy, 1989, 14. [Google Scholar]
  2. Park H C, Heo E. The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000—An input–output analysis[J]. Energy Policy. 2007(35):2839-2851. [CrossRef] [Google Scholar]
  3. Li Y. A test of the dynamic influence of household consumption on energy consumption[J]. Business economy research, 2015(12):54-56. [Google Scholar]
  4. Qing T, Zhang H Q and Tong J P. Analysis on the impact of residents’ consumption on energy consumption considering regional differences: An Empirical Study Based on threshold model[J]. soft science, 2016, 30(5):96-99. [Google Scholar]
  5. Reinders A, Vringer K, and Blok K. The direct and indirect energy requirements of households in the european union[J]. Energy Policy, 2003, 31(2):139-153. [CrossRef] [Google Scholar]
  6. Chen X, Yuan H W. Empirical Study on Influencing Factors of domestic energy consumption behavior in China[J]. Consumption economy, 2008(05):47-50. [Google Scholar]
  7. Chen X H, Li C Q, Zhang G R, et al. Analysis of the impact of income gap on energy efficiency in the process of Urbanization[J]. inquiry into economic issues, 2011(7):144-149. [Google Scholar]
  8. Huang J, Li J K. The characteristics, measurement and development of China’s consumption upgrading[J]. China’s circulation economy, 2018(4): 94-101. [Google Scholar]
  9. Han S, Zhang B S, Tang X, et al. Analysis on driving factors of China’s energy intensity change-Based on logarithmic average Dirichlet index method[J]. Contemporary economic science, 2016, 38(05):89-98. [Google Scholar]
  10. Yang H J, Liu H Y and Liu H Q. Analysis of influencing factors of energy consumption in Yunnan Minority Areas Based on LMDI model[J]. Journal of Kunming University of science and technology: Social Science Edition, 2015(15):58. [Google Scholar]
  11. Chen H B, Chai H X and Xin L. Nonlinear effects of industrial structure upgrading on energy consumption [J]. Statistics and decision making, 2019(13):144-146. [Google Scholar]

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