In the section Surveys
Title of the article Energy Trends: А Chinese Focus
Pages 142-157
Author 1 Sergei Petrovich Popov
PhD (in Engineering Sciences), Leading Researcher
Energy Systems Institute n.a. L.A. Melentyev, SB RAS
130 Lermontova Street, Irkutsk, Russia, 664033
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Abstract Due to the scale and diversity of nature and economic conditions of China the author investigates energy consumption trends of household sector (ResCom) not only in temporal but also in spatial dimension. The paper identifies the China’s ResCom energy consumption patterns on a basis of scientific publications review and confirms it by analysis of specialized data, derived from the statistical information at provincial level. The study concludes that by 2012 (for more than 25 years period) ResCom energy consumption in China was formed by the following trends: a) provinces and regions of China vary greatly in levels and structure of energy consumption in municipal sector; b) growth in specific consumption of energy services continues at high rates for all provinces; c) increase in consumption share of network energy resources; d) there is a interchangeability of consumption of petroleum products and natural gas to the public; e) there is a significant potential of growth in ResCom energy consumption; f) after 2008, there was a growth elasticity of GRP on energy consumption of China’s ResCom. The findings can be used to disaggregate energy consumption and forecast the development of energy infrastructure in China.
Code 338.465:620.9(510)
DOI 10.14530/se.2015.3.142-157
Keywords ♦ energy consumption ♦ dynamics ♦ saturation of energy consumption ♦ household sector (ResCom) ♦ population ♦ services sector ♦ factors ♦ trends ♦ region ♦ province ♦ China
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For citation Popov S.P. Energy Trends: А Chinese Focus. Prostranstvennaya Ekonomika = Spatial Economics, 2015, no. 3, pp. 142-157. DOI: 10.14530/se.2015.3.142-157. (In Russian).
References 1. Chen S., Li N., Guan J., Xie Y., Sun F., Ni J. A Statistical Method to Investigate National Energy Consumption in the Residential Building Sector of China. Energy and Buildings, 2008, vol. 40, no. 4, pp. 654–665. DOI: 10.1016/j.enbuild.2007.04.022
2. Chen S., Li N., Yoshino H., Guana J., Levine M.D. Statistical Analyses on Winter Energy Consumption Characteristics of Residential Buildings in Some Cities of China. Energy and Buildings, 2011, vol. 43, no. 5, pp. 1063–1070. DOI: 10.1016/j.enbuild.2010.09.022
3. Chen S., Yoshino H., Li N. Statistical Analyses on Summer Energy Consumption Characteristics of Residential Buildings in Some Cities of China. Energy and Buildings, 2010, vol. 42, no. 1, pp. 136–146. DOI: 10.1016/j.enbuild.2009.07.003
4. China Energy Statistical Yearbook. 1987–2013. China Statistics Press.
5. China Statistical Yearbook. 2014. National Bureau of Statistics of China. Available at: (accessed 10 February 2015).
6. Current Population Estimates as of October 1, 2013. Statistics Bureau, Ministry of Internal Affairs and Communications, Japan. Available at: (accessed 15 April 2015).
7. Energy Balances of Non-OECD Countries: Beyond 2020 Documentation. International Energy Agency, 2014, 106 p. Available at: (accessed 12 August 2015).
8. Energy Balances of OECD Countries 2014. International Energy Agency, 2014. DOI: 10.1787/energy_bal_oecd-2014-en
9. Global Energy Assessment: Toward a Sustainable Future. International Institute for Applied Systems Analysis. Cambridge University Press, 2012, 1882 р. DOI: 10.1017/CBO9780511793677
10. Kavousian A., Rajagopal R., Fischer M. Determinants of Residential Electricity Consumption: Using Smart Meter Data to Examine the Effect of Climate, Building Characteristics, Appliance Stock, and Occupants’ Behavior. Energy, 2013, vol. 55, pp. 184–194. DOI: 10.1016/
11. Lin B., Liu X. Dilemma between Economic Development and Energy Conservation: Energy Rebound Effect in China. Energy, 2012, vol. 45, no. 1, pp. 867–873. DOI: 10.1016/
12. Nie H., Kemp R. Index Decomposition Analysis of Residential Energy Consumption in China: 2002–2010. Applied Energy, 2014, vol. 121, pp. 10–19. DOI: 10.1016/j.apenergy.2014.01.070
13. United Nations Statistics Division. International Standard Industrial Classification of All Economic Activities, Rev.4. Available at: (accessed 10 June 2015).
14. World Development Indicators. World Bank. Available at: (accessed 15 June 2015).
15. World Economic and Financial Surveys. World Economic Outlook Database. International Monetary Fund. Available at: (accessed 20 June 2015).
16. Yao C., Chen C., Li M. Analysis of Rural Residential Energy Consumption and Corresponding Carbon Emissions in China. Energy Policy, 2012, vol. 41, pp. 445–450. DOI: 10.1016/j.enpol.2011.11.005
17. Yu J., Yang C., Tian L., Liao D. Evaluation on Energy and Thermal Performance for Residential Envelopes in Hot Summer and Cold Winter Zone of China. Applied Energy, 2009, vol. 86, no. 10, pp. 1970–1985. DOI:10.1016/j.enbuild.2014.10.057.
18. Zhang C., Lin Y. Panel Estimation for Urbanization, Energy Consumption and CO2 Emissions: A Regional Analysis in China. Energy Policy, 2012, vol. 49, pp. 488–498. DOI: 10.1016/j.enpol.2012.06.048
19. Zhao X., Li N., Ma C. Residential Energy Consumption in Urban China: A Decomposition Analysis. Energy Policy, 2012, vol. 41, pp. 644–653. DOI: 10.1016/j.enpol.2011.11.027

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