Global Patterns in the Implementation of Payments for Environmental Services

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dc.creatorEzzine-de-Blas, D.
dc.creatorWunder, Sven
dc.creatorRuíz Pérez, M.
dc.creatorMoreno Sánchez, R.P.
dc.date2016
dc.date2018-07-03T10:56:51Z
dc.date2018-07-03T10:56:51Z
dc.date.accessioned2026-06-27T14:10:33Z
dc.descriptionAssessing global tendencies and impacts of conditional payments for environmental services (PES) programs is challenging because of their heterogeneity, and scarcity of comparative studies. This meta-study systematizes 55 PES schemes worldwide in a quantitative database. Using categorical principal component analysis to highlight clustering patterns, we reconfirm frequently hypothesized differences between public and private PES schemes, but also identify diverging patterns between commercial and non-commercial private PES vis-à-vis their service focus, area size, and market orientation. When do these PES schemes likely achieve significant environmental additionality? Using binary logistical regression, we find additionality to be positively influenced by three theoretically recommended PES ‘best design’ features: spatial targeting, payment differentiation, and strong conditionality, alongside some contextual controls (activity paid for and implementation time elapsed). Our results thus stress the preeminence of customized design over operational characteristics when assessing what determines the outcomes of PES implementation.
dc.identifierhttps://hdl.handle.net/10568/94047
dc.identifier.urihttp://hdl.handle.net/123456789/76184
dc.languageen
dc.publisherPublic Library of Science
dc.rightsOpen Access
dc.sourceEzzine-de-Blas, D., Wunder, S., Ruiz Perez, M., Moreno-Sánchez, R.P.. 2016. Global Patterns in the Implementation of Payments for Environmental Services PLoS ONE, 11 (3) : e0149847. https://doi.org/10.1371/journal.pone.0149847
dc.subjectecosystem services
dc.subjectimpact
dc.subjectmeta-analysis
dc.subjectpatterns
dc.titleGlobal Patterns in the Implementation of Payments for Environmental Services
dc.typeJournal Article

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Centro para la Investigación Forestal Internacional (CIFOR)