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How to design more effective REDD+ projects – The importance of targeted approach in Indonesia

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  • Rakatama, Ari
  • Pandit, Ram
  • Iftekhar, Sayed
  • Ma, Chunbo

Abstract

Reducing Emissions from Deforestation and Forest Degradation (REDD+) has been piloted in several developing countries. Limited funding available for REDD+ suggests that there is a need to adopt a targeted approach (i.e., targeting selected groups or regions) to make REDD+ projects more effective. However, there is no clear understanding of how targeting could be done based on households’ preferences for various design features of a REDD+ policy. Using choice experiment data obtained from two groups of households (project participants and outsiders) belonging to three types of forest management regimes (private, government and community) in Indonesia, this paper aims to identify classes of households that have similar preferences towards REDD+ design features. The scale adjusted latent class analysis indicates that there are four classes of households: (1) supporters emphasising household benefits, (2) supporters emphasising community projects, (3) indifferent but objecting restrictions, and (4) sceptics demanding monetary benefits. We also found that forest management regime is a key determinant of household classes. Our results suggest that REDD+ projects are likely to be more accepted by households in the community- and government-managed forest regimes. Such information will be useful to develop more targeted REDD+ projects.

Suggested Citation

  • Rakatama, Ari & Pandit, Ram & Iftekhar, Sayed & Ma, Chunbo, 2018. "How to design more effective REDD+ projects – The importance of targeted approach in Indonesia," Journal of Forest Economics, Elsevier, vol. 33(C), pages 25-32.
    • Handle: RePEc:eee:foreco:v:33:y:2018:i:c:p:25-32
    DOI: 10.1016/j.jfe.2018.10.003
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    1. Michael Burton & Abbie Rogers & Claire Richert, 2017. "Community acceptance of biodiversity offsets: evidence from a choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(1), pages 95-114, January.
    2. Engel, Stefanie & Palmer, Charles, 2008. "Payments for environmental services as an alternative to logging under weak property rights: The case of Indonesia," Ecological Economics, Elsevier, vol. 65(4), pages 799-809, May.
    3. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801.
    4. Loaiza, T. & Nehren, U. & Gerold, G., 2016. "REDD+ implementation in the Ecuadorian Amazon: Why land configuration and common-pool resources management matter," Forest Policy and Economics, Elsevier, vol. 70(C), pages 67-79.
    5. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    6. Pandit, Ram & Neupane, Prem Raj & Wagle, Bishnu Hari, 2017. "Economics of carbon sequestration in community forests: Evidence from REDD+ piloting in Nepal," Journal of Forest Economics, Elsevier, vol. 26(C), pages 9-29.
    7. Stefanie Engel & Charles Palmer & Alexander Pfaff, 2013. "On the Endogeneity of Resource Co-management: Theory and Evidence from Indonesia," Land Economics, University of Wisconsin Press, vol. 89(2), pages 308-329.
    8. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    9. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    10. Arild Angelsen, 2017. "REDD+ as Result-based Aid: General Lessons and Bilateral Agreements of Norway," Review of Development Economics, Wiley Blackwell, vol. 21(2), pages 237-264, May.
    11. Broegaard, Rikke Brandt & Vongvisouk, Thoumthone & Mertz, Ole, 2017. "Contradictory Land Use Plans and Policies in Laos: Tenure Security and the Threat of Exclusion," World Development, Elsevier, vol. 89(C), pages 170-183.
    12. Anne Stenger-Letheux & Nicolas Robert, 2013. "Can payments solve the problem of undersupply of ecosystem services?," Post-Print hal-01003270, HAL.
    13. Stibniati S Atmadja & Erin O Sills, 2016. "What Is a “Community Perception” of REDD+? A Systematic Review of How Perceptions of REDD+ Have Been Elicited and Reported in the Literature," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    14. Olaru, Doina & Smith, Brett & Taplin, John H.E., 2011. "Residential location and transit-oriented development in a new rail corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 219-237, March.
    15. Engel, Stefanie, 2016. "The Devil in the Detail: A Practical Guide on Designing Payments for Environmental Services," International Review of Environmental and Resource Economics, now publishers, vol. 9(1-2), pages 131-177, July.
    16. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    17. Marigold Norman and Smita Nakhooda, 2014. "The State of REDD+ Finance - Working Paper 378," Working Papers 378, Center for Global Development.
    18. Lund, Jens Friis & Sungusia, Eliezeri & Mabele, Mathew Bukhi & Scheba, Andreas, 2017. "Promising Change, Delivering Continuity: REDD+ as Conservation Fad," World Development, Elsevier, vol. 89(C), pages 124-139.
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    1. Jack Baynes & Geoff P. Lovell & John Herbohn, 2021. "Psychological outcomes of REDD + projects: evidence from country case studies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(4), pages 1-27, April.

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    More about this item

    Keywords

    REDD+; Scale adjusted; Latent class; Choice experiment; Targeted approach; Indonesia;
    All these keywords.

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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