Global Patterns in the Implementation of Payments for Environmental Services

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...

Full description

Bibliographic Details
Main Authors: Ezzine-de-Blas, D., Wunder, Sven, Ruíz Pérez, M., Moreno Sánchez, R.P.
Format: Journal Article
Language:Inglés
Published: Public Library of Science 2016
Subjects:
Online Access:https://hdl.handle.net/10568/94047
_version_ 1855538179845652480
author Ezzine-de-Blas, D.
Wunder, Sven
Ruíz Pérez, M.
Moreno Sánchez, R.P.
author_browse Ezzine-de-Blas, D.
Moreno Sánchez, R.P.
Ruíz Pérez, M.
Wunder, Sven
author_facet Ezzine-de-Blas, D.
Wunder, Sven
Ruíz Pérez, M.
Moreno Sánchez, R.P.
author_sort Ezzine-de-Blas, D.
collection Repository of Agricultural Research Outputs (CGSpace)
description 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.
format Journal Article
id CGSpace94047
institution CGIAR Consortium
language Inglés
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Public Library of Science
publisherStr Public Library of Science
record_format dspace
spelling CGSpace940472025-06-17T08:24:16Z Global Patterns in the Implementation of Payments for Environmental Services Ezzine-de-Blas, D. Wunder, Sven Ruíz Pérez, M. Moreno Sánchez, R.P. ecosystem services impact meta-analysis patterns 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. 2016 2018-07-03T10:56:51Z 2018-07-03T10:56:51Z Journal Article https://hdl.handle.net/10568/94047 en Open Access Public Library of Science Ezzine-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
spellingShingle ecosystem services
impact
meta-analysis
patterns
Ezzine-de-Blas, D.
Wunder, Sven
Ruíz Pérez, M.
Moreno Sánchez, R.P.
Global Patterns in the Implementation of Payments for Environmental Services
title Global Patterns in the Implementation of Payments for Environmental Services
title_full Global Patterns in the Implementation of Payments for Environmental Services
title_fullStr Global Patterns in the Implementation of Payments for Environmental Services
title_full_unstemmed Global Patterns in the Implementation of Payments for Environmental Services
title_short Global Patterns in the Implementation of Payments for Environmental Services
title_sort global patterns in the implementation of payments for environmental services
topic ecosystem services
impact
meta-analysis
patterns
url https://hdl.handle.net/10568/94047
work_keys_str_mv AT ezzinedeblasd globalpatternsintheimplementationofpaymentsforenvironmentalservices
AT wundersven globalpatternsintheimplementationofpaymentsforenvironmentalservices
AT ruizperezm globalpatternsintheimplementationofpaymentsforenvironmentalservices
AT morenosanchezrp globalpatternsintheimplementationofpaymentsforenvironmentalservices