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Econometrics Informing Natural Resources Management:Selected Empirical Analyses

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  • Phoebe Koundouri

    (Dept. of International and European Economic Studies, Athens University of Economics and Business)

Abstract

The increasing scarcity of natural resources (in terms of quantity and quality) is one of the most pervasive allocation issues facing development planners throughout the world. The need for sustainable management of these valuable resources has become a critical policy concern. Econometrics is a tool that can inform and facilitate such a management. However, it is only recently that natural resource management has attracted the attention and interest of a critical mass of applied econometricians.This volume outlines the fundamental principles and difficulties that characterize the challenging task of using econometrics to inform natural resource management policies and illustrates them through a number of case-studies from all over the world. The book aims to be a comprehensive sketch of the boarder picture of the state-of-the-art in the area of Econometrics applied to Environmental and Natural Resource Management. The selection of contributions and referee process, opted for a wide range of econometric techniques that can be used to inform natural resource management, while keeping a balance between methods and applications. Applications concern atmospheric carbon reduction, water resource management, wildlife, crop and aquatic biodiversity conservation, fisheries management, as well as broader issues on the relationship between growth, sustainability and the environment. The case studies have been carefully chosen to be of major concern in the arena of environmental policy, mainly in Europe (both EU member states and assessing countries), but also in the US and some developing countries.

Suggested Citation

  • Phoebe Koundouri, 2004. "Econometrics Informing Natural Resources Management:Selected Empirical Analyses," DEOS Working Papers 0401, Athens University of Economics and Business.
  • Handle: RePEc:aue:wpaper:0401
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    References listed on IDEAS

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    1. 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.
    2. Blackorby, Charles & Russell, R Robert, 1989. "Will the Real Elasticity of Substitution Please Stand Up? (A Comparison of the Allen/Uzawa and Morishima Elasticities)," American Economic Review, American Economic Association, vol. 79(4), pages 882-888, September.
    3. Boyle, Kevin J. & Welsh, Michael P. & Bishop, Richard C. & Baumgartner, Robert M., 1995. "Validating Contingent Valuation with Surveys of Experts," Agricultural and Resource Economics Review, Cambridge University Press, vol. 24(2), pages 247-254, October.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    5. Boxall, Peter C. & Adamowicz, Wiktor L., 1999. "Understanding Heterogeneous Preferences in Random Utility Models: The Use of Latent Class Analysis," Staff Paper Series 24090, University of Alberta, Department of Resource Economics and Environmental Sociology.
    6. Li, Chuan-Zhong & Lofgren, Karl-Gustaf, 2000. "Renewable Resources and Economic Sustainability: A Dynamic Analysis with Heterogeneous Time Preferences," Journal of Environmental Economics and Management, Elsevier, vol. 40(3), pages 236-250, November.
    7. Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
    8. John M. Antle, 1987. "Econometric Estimation of Producers' Risk Attitudes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 509-522.
    9. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    10. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    11. Wendy Kenyon & Gareth Edwards-Jones, 1998. "What Level of Information Enables the Public to Act Like Experts When Evaluating Ecological Goods?," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 41(4), pages 463-475.
    12. Ajzen, Icek & Brown, Thomas C. & Rosenthal, Lori H., 1996. "Information Bias in Contingent Valuation: Effects of Personal Relevance, Quality of Information, and Motivational Orientation," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 43-57, January.
    13. John C. Bergstrom & John R. Stoll & Alan Randall, 1989. "Information Effects in Contingent Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 685-691.
    14. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    15. Smith, V Kerry & Desvousges, William H, 1986. "The Value of Avoiding a Lulu: Hazardous Waste Disposal Sites," The Review of Economics and Statistics, MIT Press, vol. 68(2), pages 293-299, May.
    16. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
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    Cited by:

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    2. Havranek, Tomas & Irsova, Zuzana & Vlach, Tomas, 2016. "Publication Bias in Measuring the Income Elasticity of Water Demand," MPRA Paper 75247, University Library of Munich, Germany.
    3. Adaman, Fikret & KaralI, Nihan & Kumbaroglu, Gürkan & Or, Ilhan & Özkaynak, Begüm & Zenginobuz, Ünal, 2011. "What determines urban households' willingness to pay for CO2 emission reductions in Turkey: A contingent valuation survey," Energy Policy, Elsevier, vol. 39(2), pages 689-698, February.
    4. Yusep Suparman & Henk Folmer & Johan Oud, 2014. "Hedonic price models with omitted variables and measurement errors: a constrained autoregression–structural equation modeling approach with application to urban Indonesia," Journal of Geographical Systems, Springer, vol. 16(1), pages 49-70, January.
    5. Katia Karousakis & Phoebe Koundouri, 2006. "A Typology of Economic Instruments and Methods for Efficient Water Resources Management in Arid and Semi-Arid Regions," DEOS Working Papers 0603, Athens University of Economics and Business.

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    More about this item

    Keywords

    Econometrics; natural resources; management;
    All these keywords.

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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