Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Forests, land use, and economic development Location: Auditorium C: Thore Johnsen Session Chair: Manuel Linsenmeier, Princeton University | |
| Presentation 2 | |
Mangroves and economic development in Tobago: Incorporating payment horizons, choice certainty and ex-post interviews in discrete choice experiments 1: Department of Economics, University of Manchester, UK; 2: Department of Agri-Food Economics and Marketing, University of Reading, UK; 3: Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, UK Governments have long faced potential trade-offs between economic development and protecting nature. This is particularly true for tropical and sub-tropical islands where most mangroves are found. Motivated by Trinidad and Tobago’s central government’s prior hotel development plans, we employ a discrete choice experiment (DCE) to investigate residents’ preferences for mangrove ecosystem services (ES) in the Bon Accord Lagoon and Buccoo Bay, Tobago. Preferences were investigated in the context of a trade-off between conserving mangroves and promoting economic development through a hypothetical hotel project in the study area. We use a Hierarchical Bayesian Logit Model, exploring two distinct payment horizons, 5 and 25-years, undertaken independently and also merged in models that allow for choice certainty and individual characteristics. We find that respondents have consistent willingness-to-pay (WTP) for mangrove ES and exhibit general insensitivity to the payment horizons due to perceived disbenefits associated with mangrove loss from hotel development. The DCE and ex-post (follow-up) interviews suggest that there is strong public support for policies aimed at long-term protection of mangroves. | |
