The Outcomes and Their Determinants from Community-company Contracting Over Forest Use in Post-decentralization Indonesia
Book Details
Format
Paperback / Softback
Book Series
Development Economics & Policy
ISBN-10
3631551967
ISBN-13
9783631551967
Publisher
Peter Lang AG
Imprint
Peter Lang AG
Country of Manufacture
DE
Country of Publication
GB
Publication Date
May 23rd, 2006
Print length
214 Pages
Weight
288 grams
Dimensions
15.10 x 21.00 x 1.40 cms
Product Classification:
Politics & governmentEnvironmental economicsEcological science, the Biosphere
Ksh 7,900.00
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Decentralization in Indonesia allowed forest-dependent communities to legally trade in their customary forest rights for a share in timber rents. Despite uncertain property rights, communities engaged in negotiations with firms for logging agreements. The benefits that flowed to communities from these agreements varied significantly. Research was undertaken, first, to compare the impacts of mechanized logging on communities before and after decentralization. The second aim was to analyze the potential factors underlying the variation in post-decentralization outcomes. A conceptual framework and a game-theoretic model of community-firm interactions are developed, which allow for the derivation of hypotheses on determining factors and the expected directions of effects. To test these empirically, fieldwork was undertaken in East Kalimantan. The results showed that communities benefited financially and perceived no significant differences in some logging impacts after decentralization compared to before. Post-decentralization community-firm conflict, inter-community conflict and intra-community conflict were all common occurrences. Nevertheless, there is no evidence of a trade-off between environmental and financial contractual provisions. Given weak property rights, the community’s ability to self-enforce its rights over the forest are shown to be crucial for claiming a significant share of logging rent. The theoretical hypotheses are generally supported by econometric analysis using survey data.
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