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Nonparametric modelling of biodiversity: Determinants of threatened species

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  • Halkos, George E.
Abstract
This study uses a sample of 71 countries and nonparametric quantile and partial regressions to model a number of threatened species (reptiles, mammals, fish, birds, trees, plants) in relation to various economic and environmental variables (GDPc, CO2 emissions, agricultural production, energy intensity, protected areas, population and income inequality). From the analysis and due to high asymmetric distribution of the dependent variables it seems that a linear regression is not adequate and cannot capture properly the dimension of the threatened species. We find that using OLS instead of non-parametric techniques over- or under-estimates the parameters which may have serious policy implications.

Suggested Citation

  • Halkos, George E., 2011. "Nonparametric modelling of biodiversity: Determinants of threatened species," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 618-635, July.
    • Handle: RePEc:eee:jpolmo:v:33:y:2011:i:4:p:618-635
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    Cited by:

    1. Halkos, George & Gkargkavouzi, Anastasia & Matsiori, Steriani, 2018. "Teachers’ environmental knowledge and pro-environmental behavior: An application of CNS and EID scales," MPRA Paper 84505, University Library of Munich, Germany.
    2. Halkos, George & Polemis, Michael, 2018. "Does market structure trigger efficiency? Evidence for the USA before and after the financial crisis," MPRA Paper 84511, University Library of Munich, Germany.
    3. Anastasia Gkargkavouzi & George Halkos & Steriani Matsiori, 2019. "A Multi-dimensional Measure of Environmental Behavior: Exploring the Predictive Power of Connectedness to Nature, Ecological Worldview and Environmental Concern," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 859-879, June.
    4. Halkos, George & Leonti, Aikaterini & Sardianou, Eleni, 2022. "Determinants of willingness to pay for entrance to urban parks: A quantile regression analysis," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 421-431.
    5. Natina Yaduma & Mika Kortelainen & Ada Wossink, 2015. "The environmental Kuznets curve at different levels of economic development: a counterfactual quantile regression analysis for CO 2 emissions," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(3), pages 278-303, November.
    6. Muzafar Shah Habibullah* & Badariah Haji Din & Wei-Chong Choo & Siow-Hooi Tan, 2018. "The Number of Tourist Arrivals, Governance and Their Impact on Threatened Bird Species: Worldwide Evidence," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 28-36:6.
    7. Halkos, George & Managi, Shunsuke, 2017. "Land use, forest preservation and biodiversity in Asia," MPRA Paper 82883, University Library of Munich, Germany.
    8. George E. Halkos & Michael L. Polemis, 2019. "The impact of market structure on environmental efficiency in the United States: A quantile approach," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 127-142, January.
    9. Halkos, George & Matsiori, Steriani, 2018. "Environmental attitudes and preferences for coastal zone improvements," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 153-166.
    10. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
    11. Halkos, George & Matsiori, Steriani, 2017. "Estimating recreational values of coastal zones," MPRA Paper 80911, University Library of Munich, Germany.
    12. Kaur, Harpaljit & Habibullah, Muzafar & Nagaratnam, Shalini, 2019. "Impact of Natural Disasters on Biodiversity: Evidence Using Quantile Regression Approach," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(2), pages 67-81.

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