IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/28690.html
   My bibliography  Save this paper

Towards a culture of environmental efficiency: An application of conditional partial nonparametric frontiers

Author

Listed:
  • Halkos, George
  • Tzeremes, Nickolaos

Abstract

Due to the fact that norms govern individual behavior, which in turn it is related to the environmental behaviour, this study tries to establish a link between human behavior (in terms of cultural values) and the environment. With the use of robust frontiers this paper constructs countries’ environmental efficiency ratios. Then it conditions these ratios with countries’ cultural values in order to capture their effect on the calculated environmental efficiency measures. The empirical results of the conditional and unconditional robust nonparametric frontiers of a sample of 17 OECD countries (for the census years of 1980, 1990 and 2000) reveal that countries’ national culture values have changed over the years from a neutral posture towards the enhancement of countries’ environmental efficiency. In addition, the results indicate that there is still much work to be done from countries’ environmental policy makers for the enhancement of an efficient environmental culture.

Suggested Citation

  • Halkos, George & Tzeremes, Nickolaos, 2011. "Towards a culture of environmental efficiency: An application of conditional partial nonparametric frontiers," MPRA Paper 28690, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:28690
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/28690/1/MPRA_paper_28690.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Fare,Rolf & Grosskopf,Shawna & Lovell,C. A. Knox, 2008. "Production Frontiers," Cambridge Books, Cambridge University Press, number 9780521072069.
    2. Halkos, George Emm. & Tzeremes, Nickolaos G., 2009. "Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis," Ecological Economics, Elsevier, vol. 68(7), pages 2168-2176, May.
    3. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    4. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    5. Eriksson, Ralf, 2005. "On the ethics of environmental economics as seen from textbooks," Ecological Economics, Elsevier, vol. 52(4), pages 421-435, March.
    6. 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, vol. 18(2), pages 161-175, August.
    7. Badin, Luiza & Daraio, Cinzia & Simar, Léopold, 2010. "Optimal bandwidth selection for conditional efficiency measures: A data-driven approach," European Journal of Operational Research, Elsevier, vol. 201(2), pages 633-640, March.
    8. Daraio, Cinzia & Simar, Leopold, 2006. "A robust nonparametric approach to evaluate and explain the performance of mutual funds," European Journal of Operational Research, Elsevier, vol. 175(1), pages 516-542, November.
    9. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    10. Cherchye, Laurens & Knox Lovell, C.A. & Moesen, Wim & Van Puyenbroeck, Tom, 2007. "One market, one number? A composite indicator assessment of EU internal market dynamics," European Economic Review, Elsevier, vol. 51(3), pages 749-779, April.
    11. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    12. Ohl, Cornelia & Krauze, Kinga & Grunbuhel, Clemens, 2007. "Towards an understanding of long-term ecosystem dynamics by merging socio-economic and environmental research: Criteria for long-term socio-ecological research sites selection," Ecological Economics, Elsevier, vol. 63(2-3), pages 383-391, August.
    13. Zaim, Osman, 2004. "Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework," Ecological Economics, Elsevier, vol. 48(1), pages 37-47, January.
    14. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    15. Laurens Cherchye & Wim Moesen & Tom Puyenbroeck, 2004. "Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU," Journal of Common Market Studies, Wiley Blackwell, vol. 42(5), pages 919-955, December.
    16. Halkos, George E. & Tzeremes, Nickolaos G., 2009. "Economic efficiency and growth in the EU enlargement," Journal of Policy Modeling, Elsevier, vol. 31(6), pages 847-862, November.
    17. Mohr, Ernst, 1994. "Environmental norms, society, and economics," Ecological Economics, Elsevier, vol. 9(3), pages 229-239, April.
    18. George Emmanuel Halkos & Nickolaos Tzeremes, 2010. "Measuring regional economic efficiency: the case of Greek prefectures," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(3), pages 603-632, December.
    19. 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, vol. 23(1), pages 63-83, January.
    20. Florens, Jean-Pierre & Simar, Leopold, 2005. "Parametric approximations of nonparametric frontiers," Journal of Econometrics, Elsevier, vol. 124(1), pages 91-116, January.
    21. Camarero, Mariam & Picazo-Tadeo, Andrés J. & Tamarit, Cecilio, 2008. "Is the environmental performance of industrialized countries converging? A 'SURE' approach to testing for convergence," Ecological Economics, Elsevier, vol. 66(4), pages 653-661, July.
    22. repec:cor:louvrp:-571 is not listed on IDEAS
    23. George Emm Halkos & Nickolaos Tzeremes, 2009. "Electricity Generation and Economic Efficiency: Panel Data Evidence from World and East Asian Countries," Global Economic Review, Taylor & Francis Journals, vol. 38(3), pages 251-263.
    24. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    25. 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.
    26. Laurens Cherchye, 2001. "Using data envelopment analysis to assess macroeconomic policy performance," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 407-416.
    27. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    28. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    National culture; Environmental Efficiency; Robust Estimators;

    JEL classification:

    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:28690. 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: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.