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A socioeconomic impact assessment of three Italian national parks

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  • Riccardo D'Alberto
  • Francesco Pagliacci
  • Matteo Zavalloni

Abstract

The expansion of protected areas (PAs) is feared to negatively affect the local economy, as every PA, albeit to different degrees, entails restriction to the economic activities. The literature on the topic has started assessing what is the socioeconomic impact of PAs, mostly focusing on the Global South. The objective of this article is the analysis of the socioeconomic impact of three Italian national parks (NPs), established in the 2000s, using a counterfactual approach based on both the outcome regression diff‐in‐diff and the doubly robust diff‐in‐diff combined with different propensity score‐based and Mahalanobis distance matching procedures. We find that the three Italian NPs have a robust and statistically significant impact on average income of residents in municipalities hosting them. Conversely, there is weak evidence that population and local establishments are positively affected, and touristic local establishments and employment are negatively affected by the three NPs. All together the results indicate that the three NPs have no negative effect on the socioeconomic dynamics of the territories impacted, although additional investigations are required to shed lights to the impact mechanisms.

Suggested Citation

  • Riccardo D'Alberto & Francesco Pagliacci & Matteo Zavalloni, 2023. "A socioeconomic impact assessment of three Italian national parks," Journal of Regional Science, Wiley Blackwell, vol. 63(1), pages 114-147, January.
  • Handle: RePEc:bla:jregsc:v:63:y:2023:i:1:p:114-147
    DOI: 10.1111/jors.12618
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    as
    1. David J. Lewis & Gary L. Hunt & DAndrew J. Plantinga, 2002. "Public Conservation Land and Employment Growth in the Northern Forest Region," Land Economics, University of Wisconsin Press, vol. 78(2), pages 245-259.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Stephan Weiler & Andrew Seidl, 2004. "What's in a Name? Extracting Econometric Drivers to Assess The Impact of National Park Designation," Journal of Regional Science, Wiley Blackwell, vol. 44(2), pages 245-262, May.
    4. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    5. Norton-Griffiths, Michael & Southey, Clive, 1995. "The opportunity costs of biodiversity conservation in Kenya," Ecological Economics, Elsevier, vol. 12(2), pages 125-139, February.
    6. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    7. Rosenbaum, Paul R., 2010. "Design Sensitivity and Efficiency in Observational Studies," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 692-702.
    8. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    9. Judith Schleicher & Julie G. Zaehringer & Constance Fastré & Bhaskar Vira & Piero Visconti & Chris Sandbrook, 2019. "Protecting half of the planet could directly affect over one billion people," Nature Sustainability, Nature, vol. 2(12), pages 1094-1096, December.
    10. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
    11. Spanò, Marinella & Leronni, Vincenzo & Lafortezza, Raffaele & Gentile, Francesco, 2017. "Are ecosystem service hotspots located in protected areas? Results from a study in Southern Italy," Environmental Science & Policy, Elsevier, vol. 73(C), pages 52-60.
    12. Sims, Katharine R.E., 2010. "Conservation and development: Evidence from Thai protected areas," Journal of Environmental Economics and Management, Elsevier, vol. 60(2), pages 94-114, September.
    13. Palomo, Ignacio & Martín-López, Berta & Potschin, Marion & Haines-Young, Roy & Montes, Carlos, 2013. "National Parks, buffer zones and surrounding lands: Mapping ecosystem service flows," Ecosystem Services, Elsevier, vol. 4(C), pages 104-116.
    14. Shosei Sakaguchi, 2020. "Estimation of average treatment effects using panel data when treatment effect heterogeneity depends on unobserved fixed effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 315-327, April.
    15. Romano, B. & Zullo, F. & Fiorini, L. & Marucci, A., 2021. "“The park effect”? An assessment test of the territorial impacts of Italian National Parks, thirty years after the framework legislation," Land Use Policy, Elsevier, vol. 100(C).
    16. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    17. 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.
    18. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    19. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    20. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    21. Kosuke Imai & Gary King & Elizabeth A. Stuart, 2008. "Misunderstandings between experimentalists and observationalists about causal inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 481-502, April.
    22. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    23. Ho, Daniel & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2011. "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i08).
    24. Peter Fredman & Lisa Hörnsten Friberg & Lars Emmelin, 2007. "Increased Visitation from National Park Designation," Current Issues in Tourism, Taylor & Francis Journals, vol. 10(1), pages 87-95.
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