The use of the DEA method for simultaneous analysis of the interrelationships among economic growth, environmental pollution and energy consumption
In this study Data Envelopment Analysis (DEA) is used not only to develop an efficiency index which combines economic activity, CO2 emissions and energy consumption of the production process in the 31 countries of Europe for the year 2004, but also to make estimates about the margins of long term increase or decrease in the consumption levels of exhaustible energy resources of a selected sample (Switzerland, Greece, United Kingdom, and Luxembourg) of European countries (out of 31) which belong to the high income group of OECD members.As shown, each country can achieve better TE when its increased economic activity is combined with improved ecological performance. It can be noticed from the analysis that the developed economies that tend to stabilize their environmental degradation through time (Switzerland), as the GDP (per capita GDP) increases, ensure satisfactory margins for the increase in the consumption of the ‘dirty’ energy index (DEI) in the long term, and thus contribute to sustainable economic development. This fact is significantly different in countries showing either intense deterioration (Greece) or temporary improvement (United Kingdom, Luxemburg) in the pollution levels without any indications of a temperate stabilization of environmental degradation
Volume (Year): 2 (2009)
Issue (Month): 2 (December)
|Contact details of provider:|| Web page: http://ijbesar.teiemt.gr/|
More information through EDIRC
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.:
- R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
- Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
- Daly, Herman E., 1992. "Allocation, distribution, and scale: towards an economics that is efficient, just, and sustainable," Ecological Economics, Elsevier, vol. 6(3), pages 185-193, December.
- Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, July.
- Christensen, Paul P., 1989. "Historical roots for ecological economics -- Biophysical versus allocative approaches," Ecological Economics, Elsevier, vol. 1(1), pages 17-36, February.
- Richard Schmalensee & Thomas M. Stoker & Ruth A. Judson, 1998. "World Carbon Dioxide Emissions: 1950-2050," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 15-27, February.
- Gene M. Grossman & Alan B. Krueger, 1995.
"Economic Growth and the Environment,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 110(2), pages 353-377.
- Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
- Wagner, Jeffrey, 2006. "On the economics of sustainability," Ecological Economics, Elsevier, vol. 57(4), pages 659-664, June.
- Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
When requesting a correction, please mention this item's handle: RePEc:tei:journl:v:2:y:2009:i:2:p:65-86. 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: (Kostas Stergidis)
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.