Advanced Search
MyIDEAS: Login to save this article or follow this journal

China's energy consumption and sustainable development: Comparative evidence from GDP and genuine savings

Contents:

Author Info

  • You, Jing
Registered author(s):

Abstract

This paper employs the structural vector autoregressions framework and the generalized impulse response function to study the long-term dynamic relation between China's energy consumption and sustainable economic growth. In addition to the conventional economic indicators (GDP growth rates), genuine savings rates are particularly examined to indicate sustainable economic development. Results show that the high elasticity of energy consumption dramatically undermines the capacity of China's sustainability in terms of reducing genuine savings rates. We also use variance decomposition to calculate relative variance contribution rates, in order to identify the most important factor affecting GDP growth as well as genuine savings rates. The analysis finds that clean and renewable energy increase the country's genuine savings significantly. That is, renewable energy consumption promotes sustainable development for both natural and economic societies. However, increase in traditional solid energy consumption is more likely to benefit only the growth of GDP.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.sciencedirect.com/science/article/pii/S1364032111001298
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Elsevier in its journal Renewable and Sustainable Energy Reviews.

Volume (Year): 15 (2011)
Issue (Month): 6 (August)
Pages: 2984-2989

as in new window
Handle: RePEc:eee:rensus:v:15:y:2011:i:6:p:2984-2989

Contact details of provider:
Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description

Order Information:
Postal: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
Web: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic

Related research

Keywords: Elasticity of energy consumption Sustainable development Genuine savings Structural vector autoregression Generalized impulse response;

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  2. Smulders, J.A. & Nooij, M. de, 2003. "The impact of energy conservation on technology and economic growth," Open Access publications from Tilburg University urn:nbn:nl:ui:12-123121, Tilburg University.
  3. Yuan, Jia-Hai & Kang, Jian-Gang & Zhao, Chang-Hong & Hu, Zhao-Guang, 2008. "Energy consumption and economic growth: Evidence from China at both aggregated and disaggregated levels," Energy Economics, Elsevier, vol. 30(6), pages 3077-3094, November.
  4. Adams, F. Gerard & Shachmurove, Yochanan, 2008. "Modeling and forecasting energy consumption in China: Implications for Chinese energy demand and imports in 2020," Energy Economics, Elsevier, vol. 30(3), pages 1263-1278, May.
  5. Pesaran, M. H. & Shin, Y., 1997. "Generalised Impulse Response Analysis in Linear Multivariate Models," Cambridge Working Papers in Economics 9710, Faculty of Economics, University of Cambridge.
  6. David I. Stern, 2003. "The Rise and Fall of the Environmental Kuznets Curve," Rensselaer Working Papers in Economics 0302, Rensselaer Polytechnic Institute, Department of Economics.
  7. Auffhammer, Maximilian & Carson, Richard Taylor, 2004. "Forecasting the path of China's CO2 emissions using province level information," CUDARE Working Paper Series 0971, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy, revised 2007.
  8. Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
  9. Focacci, Antonio, 2003. "Empirical evidence in the analysis of the environmental and energy policies of a series of industrialised nations, during the period 1960-1997, using widely employed macroeconomic indicators," Energy Policy, Elsevier, vol. 31(4), pages 333-352, March.
  10. Bringezu, Stefan & Schutz, Helmut & Steger, Soren & Baudisch, Jan, 2004. "International comparison of resource use and its relation to economic growth: The development of total material requirement, direct material inputs and hidden flows and the structure of TMR," Ecological Economics, Elsevier, vol. 51(1-2), pages 97-124, November.
  11. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
  12. Giovanni Dosi & Marco Grazzi, 2006. "Energy, Development, and the Environment: An Appraisal Three Decades After the "Limits to Growth" Debate," LEM Papers Series 2006/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  13. Hamilton, Clive & Turton, Hal, 2002. "Determinants of emissions growth in OECD countries," Energy Policy, Elsevier, vol. 30(1), pages 63-71, January.
  14. Susmita Dasgupta & Benoit Laplante & Hua Wang & David Wheeler, 2002. "Confronting the Environmental Kuznets Curve," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 147-168, Winter.
  15. Muller-Furstenberger, Georg & Wagner, Martin, 2007. "Exploring the environmental Kuznets hypothesis: Theoretical and econometric problems," Ecological Economics, Elsevier, vol. 62(3-4), pages 648-660, May.
  16. Zhang, Huiming & Zhou, Dequn & Cao, Jie, 2011. "A quantitative assessment of energy strategy evolution in China and US," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 886-890, January.
  17. Zhi-Yong Han & Ying Fan & Yi-Ming Wei, 2004. "Study on the cointegration and causality between GDP and energy consumption in China," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 22(2/3/4), pages 225-232.
  18. Suri, Vivek & Chapman, Duane, 1998. "Economic growth, trade and energy: implications for the environmental Kuznets curve," Ecological Economics, Elsevier, vol. 25(2), pages 195-208, May.
  19. Hamilton, Kirk, 1994. "Green adjustments to GDP," Resources Policy, Elsevier, vol. 20(3), pages 155-168, September.
  20. Ma, Hengyun & Oxley, Les & Gibson, John & Li, Wen, 2010. "A survey of China's renewable energy economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 438-445, January.
  21. Zou, Gaolu & Chau, K.W., 2006. "Short- and long-run effects between oil consumption and economic growth in China," Energy Policy, Elsevier, vol. 34(18), pages 3644-3655, December.
  22. Wang, Qiang & Chen, Yong, 2010. "Status and outlook of China's free-carbon electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1014-1025, April.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Su, Yongxian & Chen, Xiuzhi & Li, Yong & Liao, Jishan & Ye, Yuyao & Zhang, Hongou & Huang, Ningsheng & Kuang, Yaoqiu, 2014. "China׳s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 231-243.
  2. Bao, Chao & Fang, Chuang-lin, 2013. "Geographical and environmental perspectives for the sustainable development of renewable energy in urbanizing China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 464-474.
  3. Azadeh, A. & Babazadeh, R. & Asadzadeh, S.M., 2013. "Optimum estimation and forecasting of renewable energy consumption by artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 605-612.
  4. Al-mulali, Usama & Binti Che Sab, Che Normee, 2012. "The impact of energy consumption and CO2 emission on the economic and financial development in 19 selected countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4365-4369.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:15:y:2011:i:6:p:2984-2989. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.