The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Global Patterns in the Implementation of Payments for Environmental Services
Open accessAbstract
Assessing 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.
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Cites
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Időszobrászat a filmen : Az időkihagyás-ábrázolások sajátosságai
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Direct Payments to Conserve Biodiversity
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Cited by
Revisiting the concept of payments for environmental services
Wunder, S. (2015) · Ecological Economics · doi:10.1016/j.ecolecon.2014.08.016 · Cited by 832
Self-citationBlundo-Canto, G., Bax, V., Quintero, M., Cruz-Garcia, G. S., Groeneveld, R. A., & Perez-Marulanda, L. (2018) · Ecological Economics · doi:10.1016/j.ecolecon.2018.03.011 · Cited by 139
Perevochtchikova, M., De la Mora-De la Mora, G., Hernández Flores, J. Á., Marín, W., Langle Flores, A., Ramos Bueno, A., & Rojo Negrete, I. A. (2019) · Ecosystem Services · doi:10.1016/j.ecoser.2019.100900 · Cited by 80
Metadata
- Authors
- Ezzine-de-Blas, D., Wunder, S., Ruiz-Pérez, M., & Moreno-Sanchez, R. D. P.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-03-03
- Volume
- 11
- Issue
- 3
- Pages
- e0149847
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2288397357
- Cited by
- 300
- References
- 43
- FWCI
- 29.23
- Type
- journal article
- Language
- en
- Open access
- gold
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