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Exploring the effect of countries’ economic prosperity on their biodiversity performance

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  • Halkos, George
  • Tzeremes, Nickolaos

Abstract

This paper demonstrates an evaluation of 71 developed and under-developed countries’ biodiversity performance using a methodological framework based to the new advances of Data Envelopment Analysis (DEA). By using conditional DEA, bootstrapping and kernel density estimations, efficiency levels of 71 countries are compared and analyzed. In such a way the paper by modelling and measuring countries’ biodiversity performance analyses whether the countries environmental policies have been used efficiently in order to enhance biodiversity. Our empirical results indicate that there are major inefficiencies among the 71 countries in terms of their biodiversity performances which have been negatively influenced by their higher levels of population and of GDP per capita.

Suggested Citation

  • Halkos, George & Tzeremes, Nickolaos, 2009. "Exploring the effect of countries’ economic prosperity on their biodiversity performance," MPRA Paper 32102, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:32102
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    References listed on IDEAS

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    3. R. K. Turner & Kenneth Button & Peter Nijkamp (ed.), 1999. "Ecosystems and Nature," Books, Edward Elgar Publishing, number 1518.
    4. 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.
    5. Jeong, Seok-Oh & Simar, Léopold, 2006. "Linearly interpolated FDH efficiency score for nonconvex frontiers," Journal of Multivariate Analysis, Elsevier, vol. 97(10), pages 2141-2161, November.
    6. 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.
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    9. Taskin, Fatma & Zaim, Osman, 2000. "Searching for a Kuznets curve in environmental efficiency using kernel estimation," Economics Letters, Elsevier, vol. 68(2), pages 217-223, August.
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    14. Bădin, Luiza & Simar, Léopold, 2009. "A Bias-Corrected Nonparametric Envelopment Estimator Of Frontiers," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1289-1318, October.
    15. Fare, R. & Grosskopf, S. & Hernandez-Sancho, F., 2004. "Environmental performance: an index number approach," Resource and Energy Economics, Elsevier, vol. 26(4), pages 343-352, December.
    16. Osman Zaim & Fatma Taskin, 2000. "A Kuznets Curve in Environmental Efficiency: An Application on OECD Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 17(1), pages 21-36, September.
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    Cited by:

    1. Gren, Ing-Marie & Campos, Monica & Gustafsson, Lena & Elofsson, Katarina, 2013. "Species Imperilment on the Global Scale: Empirical evidences of economic causes," Working Paper Series 2013:7, Swedish University of Agricultural Sciences, Department Economics.

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    More about this item

    Keywords

    Biodiversity; Conditional DEA; Bootstrap techniques; Convexity test; Kernel density estimation;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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