Peer reviewed

south africa | Parks & Wildlife Agricultural-Risk Management through Community-Based Wildlife Conservation in Zimbabwe Muchapondwa, E. and T. Sterner (2012). “Agricultural-Risk Management through Community-Based Wildlife Conservation in Zimbabwe”. Forthcoming in Journal of Agribusiness in Developing & Emerging Economies.

central america eeu sweden | Parks & Wildlife Policy design Ecotourism and the development of indigenous communities: The good, the bad, and the ugly. A large part of the literature analyzing the links between biodiversity conservation and community development assumes that nature-based tourism managed by indigenous communities will result not only in conservation of natural resources but also in increased development. In practice, ecotourism has often failed to deliver the expected benefits to indigenous communities due to a combination of factors, including shortages in the endowments of human, financial and social capital within the community, lack of mechanisms for a fair distribution of the economic benefits of ecotourism, and land insecurity. Coria, J. and E. Calfucura. 2012. Ecotourism and the development of indigenous communities: The good, the bad, and the ugly. Ecological Economics 73(15): 47-55.

central america | Behavior ec. Parks & Wildlife Policy design Paying the price of sweetening your donation: Evidence from a natural field experiment We add a gift in appreciation of the subject’s contribution to a social reference treatment successfully proven to trigger higher donations, and find that the share of people contributing decreases significantly, thereby eroding the original treatment’s capacity to increase donations. Alpizar, F. and P. Martinsson (2011). Paying the price of sweetening your donation- Evidence from a natural field experiment. Economics Letters 114 (2012) 182–185.

central america | Forestry Parks & Wildlife Policy design Measuring the Effectiveness of Protected Area Networks in Reducing Deforestation: A Rigorous Impact Evaluation Approach Global efforts to reduce tropical deforestation rely heavily on the establishment of protected areas. Measuring the effectiveness of these areas is difﬁcult because the amount of deforestation that would have occurred in the absence of legal protection cannot be directly observed. Conventional methods of evaluating the effectiveness of protected areas can be biased because protection is not randomly assigned and because protection can induce deforestation spillovers (displacement) to neighboring forests. We demonstrate that estimates of effectiveness can be substantially improved by controlling for biases along dimensions that are observable, measuring spatial spillovers, and testing the sensitivity of estimates to potential hidden biases. Andam, K., Ferraro, P., Pfaff, A. Sanchez, A. and Robalino, J. 2008 “Measuring the Effectiveness of Protected Area Networks in Reducing Deforestation: A Rigorous Impact Evaluation Approach” Proceedings of National Academy of Science. 105 (42) 16089-94

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