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2009 | 1 | nr 1 | 55--65
Tytuł artykułu

Consumption of Energy, CO2 Emissions and Materials Usage Efficiency per Capita : a Cluster Analysis of Europe and Eurasia

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Most studies investigating the environmental impact of business activities across countries do so from a macroeconomic vantage point. While this widely accepted methodology has its merits, the purpose of this research is to present an alternative form of analysis focusing on consumption per capita. The three consumption measures are energy use per capita, CO2 emissions per capita, and paper and paperboard consumption per capita. Using model-based cluster analysis, three distinct clusters are identified among the forty-five countries investigated across Europe and Eurasia. Finally, business concerns associated with the findings are presented and discussed. The paper contributes to the management literature in three ways. First, it proposes that consumption-based measures may provide a better picture of current and future environmental impact. Next, it introduces the discipline to the technique of model-based cluster analysis. And finally, it provides insight into the business consequences associated with patterns of consumption in both developed and developing economies. (original abstract)
Rocznik
Tom
1
Numer
Strony
55--65
Opis fizyczny
Twórcy
  • University of Massachusetts Dartmouth, USA
  • University of Massachusetts Dartmouth, USA
Bibliografia
  • Cole, Matthew A., Anthony J. Rayner and John M. Bates, The Environmental Kuznets Curve: An Empirical Analysis, Environment and Development Economics, Vol. 2, 1997, pp. 401-416.
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  • Dernbach, John C. and Seema Kakade, Climate Change Law: An Introduction, Energy Law Journal, Vol. 29, No. 1, 2008, pp. 1-31.
  • Fedorenko, Nikolai and Vasily Simchera, Assessing the Efficiency of Russia's National Resource Use, Problems of Economic Transition, Vol. 47, No.10, 2005, pp. 22-36.
  • Fraley, Chris and Adrian. E. Raftery, Modelbased Clustering, Discriminant Analysis and Density Estimation, Journal of the American Statistical Association, Vol. 97, No. 458, 2002, pp. 611-631.
  • Fraley, Chris and Adrian E. Raftery, Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering, in Technical Report, Seattle, WA: Department of Statistics, University of Washington, 2005.
  • Fraley, Chris and Adrian E. Raftery, MCLUST Version 3 for R: Normal Mixture Model-Based Clustering, Technical Report No. 504, Seattle, WA: Department of Statistics, University of Washington, September 2006.
  • Gößling-Reisemann, Stefan, What Is Resource Consumption and How Can It Be Measured?, Journal of Industrial Ecology, Vol. 12, No. 1, 2008, p. 10-25.
  • Grossman, Gene M. and Alan B. Krueger, Economic Growth and the Environment, Quarterly Journal of Economics, Vol. 112, No. 2, 1995, pp. 353-378.
  • Hair, Joseph F. Jr., William C. Black, Barry J. Babin, Rolph E. Anderson, Ronald L. Tatham, Cluster Analysis, in Multivariate Data Analysis, 6th Edition, Chapter 8, Upper Saddle River, NJ: Pearson/Prentice Hall, 2006, pp. 555-628.
  • Kitzes, Justin, Alessandro Galli, Marco Bagliani, John Barrett, Gorm Dige, Sharon Ede, Karlheinz Erb, Stefan Giljum, Helmut Haberl, Chris Hails, Laurent Jolia-Ferrier, Sally Jungwirth, Manfred Lenzen, Kevin Lewis, Jonathan Loh, Nadia Marchettini, Hans Messinger, Krista Milne, Richard Moles, Chad Monfreda, Dan Moran, Katsura Nakano, Aili Pyhala, William Rees, Craig Simmons, Mathias Wackernagel, Yoshihiko Wada, Connor Walsh and Tommy Wiedmann (2009 forthcoming), A Research Agenda for Improving National Ecological Footprint Accounts, in Ecological Economics, in press, available on-line at http://www.brass.cf.ac.uk/uploads/fullpapers/Kitzes_et_al_M65.pdf.
  • Martin, Nathan, Norma Anglani, Dan Einstein, Marta Khrushch, Ernst Worrell, and Lynn K. Price Opportunities to Improve Energy Efficiency and Reduce Greenhouse Gas Emissions in the U.S. Pulp and Paper Industry, Berkeley, CA: Ernest Orlando Lawrence Berkeley National Laboratory, LBNL- 46141, 2002, at http://www.energystar.gov/ia/business/industry/LBNL-46141.pdf.
  • Nuki, Takao, Environmental Issues and Theory of Management, Asian Business & Management, Vol. 6, 2007, pp. 123-142.
  • R Development Core Team, R: A Language and Environment for Statistical Computing, Vienna, Austria: R Foundation for Statistical Computing, ISBN 3-900051-07-0, 2008, http://www.R-project.org.
  • Rothman, Dale S., Environmental Kuznets Curves - Real Progress or Passing the Buck?: A Case for Consumption-based Approaches, Ecological Economics, Vol. 25, No. 2, 1998, pp. 177-194.
  • Shafik, Nemat and Sushenjit Bandyopadhyay, Economic Growth and Environmental Quality: Time series and Cross-country Evidence, World Bank Policy Research Working Paper Series No. 904, 1992, at http://ideas.repec.org/p/wbk/wbrwps/904.html.
  • Stern, David I., The Rise and Fall of the Environmental Kuznets Curve, World Development, Vol. 32, No. 8, 2004, pp. 1419-1439.
  • World Resources Institute, EarthTrends Environmental Information, 2008, at http://earthtrends.wri.org/.
  • Yeager, Holly, Scandinavia Tops World League Table on the Environment, Financial Times, London: 2 February 2002, p. 6.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171229207

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