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Coordination and cross-sectoral integration in REDD+: experiences from seven countries

handle: 10568/95821
Ever since a global mitigation mechanism that aims to reduce emissions by avoiding deforestation and forest degradation (REDD+) was introduced in climate change negotiations, governance challenges in implementing this concept in tropical forest countries have received considerable attention. In particular, multilevel governance has been identified as a key challenge, as REDD+ aims to tackle local deforestation activities through a global results-based financial scheme. This paper will present an analysis from seven REDD+ countries (Brazil, Cameroon, Indonesia, Nepal, Papua New Guinea, Tanzania and Vietnam) where 293 qualitative interviews were conducted with national-level REDD+ actors. We examined what kind of multilevel coordination problems emerge, particularly in relation to horizontal, cross-sectoral coordination, and analysed these problems through the concepts of functional alignment, institutional complexity and accountability. We argue that there are problems with coordination that have emerged d...
- University of Helsinki Finland
- CGIAR France
- CGIAR France
- Universidade Federal Rural do Rio de Janeiro Brazil
- CGIAR Consortium France
forests, ta1172, ta1171, mitigation, climate change
forests, ta1172, ta1171, mitigation, climate change
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).31 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
