2014
DOI: 10.4073/csr.2014.10
|View full text |Cite
|
Sign up to set email alerts
|

Effects of decentralized forest management (DFM) on deforestation and poverty in low‐ and middle‐income countries: a systematic review

Abstract: Decentralized forest management programs reduce deforestation rates, although the effects may be modest. More research is needed to assess whether such programs reduce the income of poor households. Proponents of decentralized forest management programs suggest that such programs can contribute to both environmental and poverty reduction outcomes. This review showed that little research has been conducted on the poverty reduction benefits of such programs, and no studies have jointly evaluated both conservatio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
20
0
1

Year Published

2015
2015
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 26 publications
(23 citation statements)
references
References 87 publications
1
20
0
1
Order By: Relevance
“…Despite these limitations, we briefly note that our result of no significant effect on broad deforestation rate appears to agree with the two existing studies (from India and Bolivia) that have also measured this outcome, where effects have ranged from negligible to small but significant (Samii et al 2014). However, given the small number of cases and widely variable country contexts, we do not suggest this constitutes a trend.…”
Section: Results Fit With Existing Quasi-experimental Studies Of Decesupporting
confidence: 78%
See 2 more Smart Citations
“…Despite these limitations, we briefly note that our result of no significant effect on broad deforestation rate appears to agree with the two existing studies (from India and Bolivia) that have also measured this outcome, where effects have ranged from negligible to small but significant (Samii et al 2014). However, given the small number of cases and widely variable country contexts, we do not suggest this constitutes a trend.…”
Section: Results Fit With Existing Quasi-experimental Studies Of Decesupporting
confidence: 78%
“…However, we caution that there are very few such existing studies to draw on, which have also used robust counterfactual approaches to establish the causal effects of forest sector decentralization (Miteva, Pattanayak et al 2012). In fact, a recent systematic review funded by 3ie could find only 12 such studies globally (Samii et al 2014), even though decentralized approaches have a history of implementation spanning more than three decades. Similarly, it must be noted that decentralized forest programs across different countries may not share the same policy construction or implementation process (although they are often relatively similar), and the outcomes assessed and ways that they are measured differ widely across existing quasi-experimental studies of decentralized forest management.…”
Section: Results Fit With Existing Quasi-experimental Studies Of Decementioning
confidence: 99%
See 1 more Smart Citation
“…Despite these calls, conservation science still lags behind health, education, and development policy in adopting best practices in impact evaluation (Banerjee & Duflo 2009). Few studies meet even the basic standards of an impact evaluation such as considering before and after conditions, including control groups, accounting for confounding factors, or systematically ruling out rival hypotheses (Bowler et al 2012;Samii et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…A 2014 Campbell Collaboration systematic review 'The Impact of Land Property Rights Interventions on Investment and Agricultural Productivity in Developing Countries' is illustrative of how reviews can use such an inclusive, explanatory strategy (Lawry et al, 2014). This review included both a quantitative impact assessment as well as a qualitative review to assess context.…”
Section: Reviewersmentioning
confidence: 99%