Environmental efficiency and regional technology gaps in China: a metafrontier non-radial and non-oriental Malmquist index analysis

• Autorzy: Lu W.-Z. , Huang S.-J. , Wang L.
• Języki publikacji: EN

Abstrakty

EN

This paper proposes a metafrontier non-radial and non-oriental DEA to examine environmental efficiency in China. This approach takes the regional technology heterogeneity, non-radial slacks, and undesirable outputs into consideration simultaneously. The results show that undesirable output inefficiency largely contributes to environmental inefficiency. And under the metafrontier technology assumption, the technology gaps between three regions have been widened. Technology gap ratio, factor endowment level, and environmental governance capacity have a positive impact on TFEE, while industrial structure, foreign capital reliance, and energy consumption structure show the negative effect on it through two-stage regression analysis. This result suggests that emission reduction stress in China is greater than the energy savings stress in the future.

Słowa kluczowe

EN

environmental efficiency; environmental performance; regional technology gap; China; metafrontier; Malmquist index analysis; economic growth; economic value

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2014
• Tom: 23
• Numer: 1
• Opis fizyczny: p.119-124,fig.,ref.

Twórcy

autor

Lu W.-Z.

• School of Economics and Business Administration, Chongqing University, Chongqing 400030, China

autor

Huang S.-J.

• School of Economics and Business Administration, Chongqing University, Chongqing 400030, China
• Research Institute of Energy Technology and Economics, Chongqing University, Chongqing 400030, China

autor

Wang L.

• School of Economics and Business Administration, Chongqing University, Chongqing 400030, China

Bibliografia

• 1. http://www.sznews.com/news/content/2006-10/08/content_415845.htm.
• 2. http://www.china.com.cn/news/txt/2006-10/08/content_7219756.htm.
• 3. http://zcj361.blog.163.com/blog/static/11101930520121385727312/.
• 4. EDMONDS J., REILLY J. A long-term global energy-economic model of carbon-dioxide release from fossil-fuel use. Energ. Econ. 5, 74, 1983.
• 5. GUSTAVSSON L., JOHANSSON B., BULOWHUBE H. An environmentally benign energy future for western scania, Sweden. Energy. 17, 809, 1992.
• 6. FARE R., GROSSKOPF S., TYTECA D. An activity analysis model of the environmental performance of firms – Application to fossil-fuel-fired electric utilities. Ecol. Econ. 18, 161, 1996.
• 7. ZAIM O., TASKIN F. Environmental efficiency in carbon dioxide emissions in the OECD: A non-parametric approach. J. Environ. Manage. 58, 95, 2000.
• 8. PASURKA C.A. Decomposing electric power plant emissions within a joint production framework. Energ. Econ. 28, 26, 2006.
• 9. DONG R.W., LI H.D. A Research on Regional Sustainable Development in China from the Aspect of Environmental Efficiency. Proceedings for the 4th Euro-Asia conference on environment and corporate social responsibility: tourism, mice and management technique session, PT I, 35, 2009.
• 10. COLI M., NISSI E., RAPPOSELLI A. Monitoring environmental efficiency: An application to Italian provinces. Environ. Modell. Softw. 26, 38, 2011.
• 11. WANG L., CHEN Z., MA D., ZHAO P. Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis. Sustainability. 5, 5319, 2013.
• 12. LEE M., ZHANG N. Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries. Energ. Econ. 34, 1492, 2012.
• 13. FARE R., GROSSKOPF S. Directional distance functions and slacks-based measures of efficiency. Eur. J. Oper. Res. 200, 320, 2010.
• 14. TONE K. A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 130, 498, 2001.
• 15. CHOI Y., ZHANG N., ZHOU P. Efficiency and abatement costs of energy-related CO2 emissions in China: A slacksbased efficiency measure. Appl. Energ. 98, 198, 2012.
• 16. COOPER W.W., SEIFORD L.M., TONE K., ZHU J. Some models and measures for evaluating performances with DEA: past accomplishments and future prospects. J. Prod. Anal. 28, 151, 2007.
• 17. OH D.H., LEE J.D. A metafrontier approach for measuring Malmquist productivity index. Empirical Economics. 38, 47, 2010.