Internal versus top-down monitoring in community resource management: Experimental evidence from Ethiopia
Goytom Kahsay and
Erwin Bulte
Journal of Economic Behavior & Organization, 2021, vol. 189, issue C, 111-131
Abstract:
The evidence on the effectiveness of participatory development approaches in low-income countries is ambiguous. We randomly vary governance modalities to study elite capture in Ethiopian forest user groups and explore implications for livelihoods of group members. Top-down monitoring and punishment increases consumption and income, and decreases inequality. In contrast, internal monitoring has no effect on livelihoods. Additional heterogeneity analysis, based on observational data, reveals that while top-down monitoring works in groups where forest benefits are unimportant, internal monitoring improves economic outcomes in those groups where forest benefits are an important component of rural livelihoods. This suggests that participatory approaches work if targeted participants have strong incentives to voluntarily contribute effort.
Keywords: Participatory development; Internal monitoring; Top-down monitoring; Accountability; Community forestry (search for similar items in EconPapers)
JEL-codes: D02 D31 D78 O15 Q57 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167268121002699
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:189:y:2021:i:c:p:111-131
DOI: 10.1016/j.jebo.2021.06.030
Access Statistics for this article
Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.
More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().