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Protected Area Effectiveness in European Russia: A Postmatching Panel Data Analysis

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Listed:
  • Kelly J. Wendland
  • Matthias Baumann
  • David J. Lewis
  • Anika Sieber
  • Volker C. Radeloff

Abstract

We estimate the impact of strict and multiple-use protected areas on forest disturbance in European Russia between 1985 and 2010. We construct a spatial panel dataset that includes five periods of change. We match protected areas to control observations and compare coefficients from fixed-versus random-effects models. We find that protected areas have few statistically significant impacts on disturbance, with little difference across parks closer to or farther from major cities or roads. Random-effects estimates differ qualitatively and quantitatively from those of fixed effects in our study, serving as a cautionary note for evaluations where time-invariant unobservables are important.

Suggested Citation

  • Kelly J. Wendland & Matthias Baumann & David J. Lewis & Anika Sieber & Volker C. Radeloff, 2015. "Protected Area Effectiveness in European Russia: A Postmatching Panel Data Analysis," Land Economics, University of Wisconsin Press, vol. 91(1), pages 149-168.
    • Handle: RePEc:uwp:landec:v:91:y:2015:i:1:p:149-168
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    References listed on IDEAS

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    Cited by:

    1. Gwenolé Le Velly & Céline Dutilly, 2016. "Evaluating Payments for Environmental Services: Methodological Challenges," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-20, February.
    2. Zakharov, Konstantin & Mizgajski, Andrzej, 2024. "Socioeconomic and political settings for the land development decreasing urban green. Inside view from Moscow," Land Use Policy, Elsevier, vol. 141(C).
    3. Garcia, Alberto & Heilmayr, Robert, 2024. "Impact evaluation with nonrepeatable outcomes: The case of forest conservation," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    4. Thiago Fonseca Morello Ramalho da Silva & Paula Carvalho Pereda & Ana Carolina M. Pessoa & Liana O. Anderson, 2024. "Staggered protection: a study of the dynamic effects of protected areas," Working Papers, Department of Economics 2024_02, University of São Paulo (FEA-USP), revised 09 May 2024.
    5. Amin, A. & Choumert-Nkolo, J. & Combes, J.-L. & Combes Motel, P. & Kéré, E.N. & Ongono-Olinga, J.-G. & Schwartz, S., 2019. "Neighborhood effects in the Brazilian Amazônia: Protected areas and deforestation," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 272-288.
    6. Pessôa, Ana Carolina M. & Morello R.S., Thiago F. & Silva-Junior, Celso H.L. & Doblas, Juan & Carvalho, Nathália S. & Aragão, Luiz E.O.C. & Anderson, Liana O., 2023. "Protected areas are effective on curbing fires in the Amazon," Ecological Economics, Elsevier, vol. 214(C).
    7. Pablo Cuenca & Juan Robalino & Rodrigo Arriagada & Cristian Echeverría, 2018. "Are government incentives effective for avoided deforestation in the tropical Andean forest?," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-14, September.
    8. Yong Chen & David J. Lewis & Bruce Weber, 2016. "Conservation Land Amenities And Regional Economies: A Postmatching Difference-In-Differences Analysis Of The Northwest Forest Plan," Journal of Regional Science, Wiley Blackwell, vol. 56(3), pages 373-394, June.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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