Drivers of PES effectiveness: Some evidence from a quantitative meta-analysis - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Journal Articles Ecological Economics Year : 2023

Drivers of PES effectiveness: Some evidence from a quantitative meta-analysis

Abstract

Payments for Environmental or Ecosystem Services (PES) schemes have become a popular tool to address environmental degradation and to promote sustainable management of ecosystem services. We use metaregression analysis on a sample of 110 individual studies to investigate the determinants of the environmental effectiveness, defined as the probability to increase environmental services (ES) provision, of about 149 PESschemes implemented worldwide. We find that increased effectiveness of PES schemes is strongly associated with periodical third-party monitoring, generic reference design and to a lesser extent results-based payments. We further study the determinants of PES additionality, defined as direct changes in ES provision induced by the PES scheme, compared to a baseline without PES, on a smaller sample of 41 studies from which we could obtain the necessary data. The results confirm the role of certain design variables, such as monitoring type, and raise a potential trade-off between enrolment and additionality in the assessment of PES effectiveness.
Fichier principal
Vignette du fichier
2023 - Saint-Cyr et al - EE - Drivers of PES effectiveness_ Some evidence from a quantitative meta-analysis_SM.zip (565.17 Ko) Télécharger le fichier
2023 - Saint-Cyr et al - EE - Drivers of PES effectiveness_ Some evidence from a quantitative meta-analysis.pdf (2.37 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04113250 , version 1 (01-06-2023)

Licence

Identifiers

Cite

Legrand D.F. Saint-Cyr, Lionel Védrine, Sophie Legras, Julie Le Gallo, Valentin Bellassen. Drivers of PES effectiveness: Some evidence from a quantitative meta-analysis. Ecological Economics, 2023, 210, pp.107856. ⟨10.1016/j.ecolecon.2023.107856⟩. ⟨hal-04113250⟩
148 View
50 Download

Altmetric

Share

More