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Non-market valuation of recreational services in Italy: A meta-analysis

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  • De Salvo, Maria
  • Signorello, Giovanni

Abstract

This paper reports on a meta-analysis study carried out in Italy to value recreational ecosystem services. The best meta-analysis model is identified in terms of functional form and robustness to non-independency of metadata. Estimates are obtained using Huber–White robust standard error models, fixed effect and random effects panel data models, and a multilevel (hierarchical) regression model. The hierarchical structure of the metadata was explored by considering as an upper cluster variable the lead author of the valuation study, then the primary study from which each benefit estimate was extracted, and as a lower cluster variable the typology of each recreational policy site.

Suggested Citation

  • De Salvo, Maria & Signorello, Giovanni, 2015. "Non-market valuation of recreational services in Italy: A meta-analysis," Ecosystem Services, Elsevier, vol. 16(C), pages 47-62.
    • Handle: RePEc:eee:ecoser:v:16:y:2015:i:c:p:47-62
    DOI: 10.1016/j.ecoser.2015.10.002
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    3. Scheufele, Gabriela & Pascoe, Sean, 2023. "Ecosystem accounting: Reconciling consumer surplus and exchange values for free-access recreation," Ecological Economics, Elsevier, vol. 212(C).
    4. Hynes, Stephen & Ghermandi, Andrea & Norton, Daniel & Williams, Heidi, 2018. "Marine recreational ecosystem service value estimation: A meta-analysis with cultural considerations," Ecosystem Services, Elsevier, vol. 31(PC), pages 410-419.
    5. Tiziano Tempesta & Daniel Vecchiato, 2018. "The Value of a Properly Maintained Hiking Trail Network and a Traditional Landscape for Mountain Recreation in the Dolomites," Resources, MDPI, vol. 7(4), pages 1-22, December.
    6. Tomaselli, Giovanna & Russo, Patrizia & Riguccio, Lara & Quattrone, Marzia & D’Emilio, Alessandro, 2020. "Assessment of landscape regeneration of a Natura 2000 site hosting greenhouse farming by using a dashboard of indicators. A case in Sicily through the territorial implementation of a "pilot proje," Land Use Policy, Elsevier, vol. 92(C).
    7. Rolfe, John & Dyack, Brenda, 2019. "Testing Temporal Stability of Recreation Values," Ecological Economics, Elsevier, vol. 159(C), pages 75-83.
    8. Gianluca Grilli, 2017. "Renewable energy and willingness to pay: Evidences from a meta-analysis," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(1-2), pages 253-271.
    9. Schild, Johanna E.M. & Vermaat, Jan E. & de Groot, Rudolf S. & Quatrini, Simone & van Bodegom, Peter M., 2018. "A global meta-analysis on the monetary valuation of dryland ecosystem services: The role of socio-economic, environmental and methodological indicators," Ecosystem Services, Elsevier, vol. 32(PA), pages 78-89.
    10. Hynes, S. & Ghermandi, A. & Norton, D. & Williams, H., 2017. "Marine Recreational Ecosystem Service Value Meta-Analysis," Working Papers 266404, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    11. Schägner, Jan Philipp & Brander, Luke & Paracchini, Maria Luisa & Maes, Joachim & Gollnow, Florian & Bertzky, Bastian, 2018. "Spatial dimensions of recreational ecosystem service values: A review of meta-analyses and a combination of meta-analytic value-transfer and GIS," Ecosystem Services, Elsevier, vol. 31(PC), pages 395-409.

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