Natural Hazards

, Volume 72, Issue 2, pp 809–825 | Cite as

Study on temporal and spatial evolution of China’s oil supply and consumption

Original Paper
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Abstract

To begin with, energy flow chart is used to analyze the status of China’s oil supply and consumption. Moreover, the temporal and spatial evolution of the oil production and oil products consumption in China is studied based on the gravity model. Finally, the decoupling index combined with the log mean Divisia index method is used to explore the contribution of the factors which influence terminal oil product consumption in China over the period 1991–2010. This paper draws the following results: (1) China’s net oil import dependency soared from 7.5 % in 1993 to 58.63 % in 2010. (2) The center of gravity for crude oil production and oil products consumption is an overall movement toward the southwest. (3) The economic activity effect is the critical factor in the growth of oil products consumption in China. However, industrial energy intensity effect plays the dominant role in decreasing oil products consumption. (4) The value of the decoupling index represented a re-coupling effect in 1996–1997 and 2003–2004. The other time interval showed weak decoupling effect.

Keywords

Oil Temporal and spatial evolution Decoupling analysis 
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Notes

Acknowledgments

The authors gratefully acknowledge the financial support from the Fundamental Research Funds for the Central Universities (2013QNA11), the Philosophy and Social Science Foundation of Jiangsu Universities (2013SJD790061), the China Postdoctoral Science Foundation (2013M541752), and the Natural Science Foundation of Jiangsu Province (BK20130176). We would like to thank the anonymous referees for their helpful suggestions and corrections on the earlier draft of our paper, and upon which we have improved the content.

References

  1. Ang BW (2004) Decomposition analysis for policymaking in energy: which is the preferred method? Energy Policy 32:1131–1139CrossRefGoogle Scholar
  2. Ang BW, Liu N (2007) Handling zero values in the logarithmic mean Divisia index decomposition approach. Energy Policy 35:238–246CrossRefGoogle Scholar
  3. BP (British Petroleum), 2011. BP Statistical Review of World Energy June 2012. www.bp.com
  4. CESY (China Energy Statistical Yearbook), 1991–1996, 1997–1999, 2000–2002, 2003, 2004. 2005, 2006, 2007, 2008, 2009, 2010, 2011. National Bureau of Statistics of China, National Development and Reform Commission Google Scholar
  5. Chen XL, Zhou F (2011) Gravity center change in the coastal area of the Pearl River Estuary based on GIS and RS. In: Dai M et al (eds) Innovative computing and information international conference 2011, part II communications in computer and information science, vol 232. Springer, Berlin, pp 281–286Google Scholar
  6. Chung W, Kam MS, Ip CY (2011) A study of residential energy use in Hong Kong by decomposition analysis, 1990–2007. Appl Energy 88:5180–5187CrossRefGoogle Scholar
  7. Climent F, Pardo A (2007) Decoupling factors on the energy–output linkage: the Spanish case. Energy Policy 35:522–528CrossRefGoogle Scholar
  8. CSY (China Statistical Yearbook), 2011. National Bureau of Statistics of ChinaGoogle Scholar
  9. Du LM, He YN, Wei C (2010) The relationship between oil price shocks and China’s macro-economy: an empirical analysis. Energy Policy 38:4142–4151CrossRefGoogle Scholar
  10. Duan XJ, Wang SG, Chen W (2008) Evolution of population distribution and growth shift in Changjiang River Delta. Sci Geogr Sin 28(2):139–144Google Scholar
  11. Feng G, Mu XZ (2010) Cultural challenges to Chinese oil companies in Africa and their strategies. Energy Policy 38:7250–7256CrossRefGoogle Scholar
  12. Feng LY, Li JC, Pang XQ (2008) China’s oil reserve forecast and analysis based on peak oil models. Energy Policy 36:4149–4153CrossRefGoogle Scholar
  13. Freitas LC, Kaneko S (2011) Decomposing the decoupling of CO2 emissions and economic growth in Brazil. Ecol Econ 70:1459–1469CrossRefGoogle Scholar
  14. Fu J, Gao ZG, Huang LY, Zhang L (2011) The movement route of consumption gravity center of Xinjiang from 1965 to 2009 based on GIS. Proc Earth Planet Sci 2:321–326CrossRefGoogle Scholar
  15. Garry P (2008) UK energy flow chart 2007. http:/rs.resalliance.org/2008/09/05/uk-energy-flow-chart-2007/Google Scholar
  16. He YB, Chen YQ, Tang HJ, Yao YM, Yang P, Chen ZX (2011) Exploring spatial change and gravity center movement for ecosystem services value using a spatially explicit ecosystem services value index and gravity model. Environ Monit Assess 175(1–4):563–571CrossRefGoogle Scholar
  17. Hilgard JE (1872) The advance of population in the United States. Scribner’s Mon 4:214–218Google Scholar
  18. Kumler MP, Goodchild MF (1992) The Population Center of Canada—Just North of Toronto? In: Janelle DG (ed) Geographical Snapshots of North America. Guilford, NewYork, pp 275–279Google Scholar
  19. Leung GCK (2010) China’s oil use, 1990–2008. Energy Policy 38:932–944CrossRefGoogle Scholar
  20. Li Z, Fu F, Ma LW et al (2006) China’s Energy Flow Chart Based on Energy Balance Sheet. Energy of China 28(9):5–10Google Scholar
  21. Ma C, Stern DI (2008) China’s changing energy intensity trend: a decomposition analysis. Energy Economics 30:1037–1053CrossRefGoogle Scholar
  22. Ma LW, Feng F, Lin Z, Liu P (2012) Oil development in China: current status and future trends. Energy Policy 45:43–83CrossRefGoogle Scholar
  23. OECD (Organization for Economic Co-operation and Development), 2010. Indicators to measure decoupling of environmental pressure from economic growth. Sustainable development. SG/SD (2002) 1/Final. http://www.olis.oecd.org/olis/2002doc.nsf/LinkTo/sg-sd(2002)1-final. Accessed on Aug 28
  24. Peng YX, Lin ZS (2010) Analysis of temporal and spatial evolution of SO2 and industrial dust emissions of energy consumption. Journal of Natural Resources 25(1):52–59Google Scholar
  25. Su B, Ang BW (2012) Structural decomposition analysis applied to energy and emissions: some methodological developments. Energy Economics 34:177–188CrossRefGoogle Scholar
  26. Tapio P (2005) Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transp Policy 12:137–151CrossRefGoogle Scholar
  27. US Department of Energy’s National Nuclear Security Administration (2009) Estimated Energy Use in 2008: 99.2 Quads; https://publicaffairs.llnl.gov/news/energy/energy.html\#2008Google Scholar
  28. Wang YH, Guo DZ, Zhang HR, Shen BG (2006) Spatial distribution and applications of coal resource potential in China. Journal of Natural Resources 21(2):225–230Google Scholar
  29. Wang QQ, Huang XJ, Chen ZG, Tan D, Chuai XW (2009) Movement of the gravity of carbon emissions per capita and analysis of causes. Journal of Natural Resources 24(5):833–841Google Scholar
  30. Wang WC, Mu HL, Kang XD, Ning YD, Song RC (2010) Changes in industrial electricity consumption in China from 1998 to 2007. Energy Policy 38:3684–3690CrossRefGoogle Scholar
  31. Wang Q, Yue TX, Wang CL, Fan ZM, Liu XH (2012) Spatial–temporal variations of food provision in China. Procedia Environmental Sciences 13:1933–1945CrossRefGoogle Scholar
  32. Wang WW, Zhang M, Li P (2014) Exploring temporal and spatial evolution of global energy production and consumption. Renew Sustain Energy Rev 30:943–949CrossRefGoogle Scholar
  33. Xie SC, Chen CH, Li L et al (2009) China’s Energy Flow Chart in the Year 2006. Energy of China 31(3):21–23Google Scholar
  34. Xu XY, Ang BW (2013) Index decomposition analysis applied to CO2 emission studies. Ecol Econ 93:313–329CrossRefGoogle Scholar
  35. Zhang ZX (2000) Decoupling China’s carbon emissions increase from economic growth: an economic analysis and policy implications. World Dev 28:739–752CrossRefGoogle Scholar
  36. Zhang M, Wang WW (2011) Analysis of China’s energy utilization for 2007. Energy Policy 39:1612–1616CrossRefGoogle Scholar
  37. Zhang Y, Zhang JY, Yang ZF, Li J (2012) Analysis of the distribution and evolution of energy supply and demand centers of gravity in China. Energy Policy 49:695–706CrossRefGoogle Scholar
  38. Zhong TY, Huang XJ, Han L, Wang BY (2010) Review on the research of decoupling analysis in the field of environments and resource. Journal of Natural Resources 25:1400–1412Google Scholar
  39. Zou GL, Chau KW (2006) Short- and long-run effects between oil consumption and economic growth in China. Energy Policy 34:3644–3655CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.China University of Mining and TechnologyXuzhouPeople’s Republic of China

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