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Measuring regional environmental efficiency: A directional distance function approach

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  • Halkos, George
  • Tzeremes, Nickolaos

Abstract

This paper by applying a directional distance function approach measures the UK regions’ municipality waste performance. In addition the paper constructs conditional stochastic kernels trying to determine nonparametrically the association of regions’ GDP per capita levels with their calculated regional environmental efficiencies. There are evidences of regional environmental inefficiencies for the majority of UK regions regardless their regional GDP per capita levels.

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File URL: http://mpra.ub.uni-muenchen.de/32934/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 32934.

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Date of creation: 2011
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Handle: RePEc:pra:mprapa:32934

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Keywords: Regional environmental performance; Directional distance function; Conditional stochastic kernel;

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  1. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December.
  2. Zofio, Jose L. & Prieto, Angel M., 2001. "Environmental efficiency and regulatory standards: the case of CO2 emissions from OECD industries," Resource and Energy Economics, Elsevier, Elsevier, vol. 23(1), pages 63-83, January.
  3. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
  4. Grossman, Gene M & Krueger, Alan B, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 110(2), pages 353-77, May.
  5. Valentin Zelenyuk & Vitaliy Zheka, 2006. "Corporate Governance and Firm’s Efficiency: The Case of a Transitional Country, Ukraine," Journal of Productivity Analysis, Springer, Springer, vol. 25(1), pages 143-157, 04.
  6. Poletti Laurini, Márcio & Valls Pereira, Pedro L., 2009. "Conditional stochastic kernel estimation by nonparametric methods," Economics Letters, Elsevier, Elsevier, vol. 105(3), pages 234-238, December.
  7. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
  8. Rolf F�re & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
  9. Rolf F�re & Shawna Grosskopf, 2007. "A Comment on Weak Disposability in Nonparametric Production Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 91(2), pages 535-538.
  10. Fotopoulos, Georgios, 2006. "Nonparametric analysis of regional income dynamics: The case of Greece," Economics Letters, Elsevier, Elsevier, vol. 91(3), pages 450-457, June.
  11. Susmita Dasgupta & Benoit Laplante & Hua Wang & David Wheeler, 2002. "Confronting the Environmental Kuznets Curve," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 16(1), pages 147-168, Winter.
  12. Fare, Rolf & Grosskopf, Shawna & Tyteca, Daniel, 1996. "An activity analysis model of the environmental performance of firms--application to fossil-fuel-fired electric utilities," Ecological Economics, Elsevier, Elsevier, vol. 18(2), pages 161-175, August.
  13. Atakelty Hailu, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 85(4), pages 1075-1077.
  14. 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.
  15. Racine, Jeffrey S., 2008. "Nonparametric Econometrics: A Primer," Foundations and Trends(R) in Econometrics, now publishers, now publishers, vol. 3(1), pages 1-88, March.
  16. Timo Kuosmanen & Victor Podinovski, 2008. "Weak Disposability in Nonparametric Production Analysis: Reply to F�re and Grosskopf," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 91(2), pages 539-545.
  17. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, Quantile, issue 4, pages 7-56, March.
  18. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, Elsevier, vol. 157(1), pages 242-245, August.
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