 Estimating the effectiveness of forest protection using regression discontinuityJournal of Environmental Economics and Management, 2024, vol. 127, issue C Abstract: This article uses satellite data to estimate the effectiveness of government protection on forested land across the globe over 2000–2022. Since deforestation can have significant negative externalities, measuring the effectiveness of protected areas is important for the future of conservation. It uses a regression discontinuity design at the boundaries of protected forest to counter the fact that protection is not randomly assigned. It estimates that protected areas are 30% effective on average, with significant heterogeneity between countries. Many countries with significant forest have extremely ineffective protection, such as Indonesia, the DRC, and Bolivia, suggesting that improvements to the quality of protection are just as important as the quantity of protected areas to conserve biodiversity. Keywords: Deforestation; Protected areas; Environmental regulation; Biodiversity; Land use; Conservation; Climate change (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jeeman:v:127:y:2024:i:c:s0095069624000950 DOI: 10.1016/j.jeem.2024.103021 Access Statistics for this article Journal of Environmental Economics and Management is currently edited by M.A. Cole, A. Lange, D.J. Phaneuf, D. Popp, M.J. Roberts, M.D. Smith, C. Timmins, Q. Weninger and A.J. Yates More articles in Journal of Environmental Economics and Management from Elsevier |
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