Assessing opportunity costs of conservation: Ingredients for protected area management in the Kakamega Forest,Western Kenya |
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| Authors: | Jan Börner John Mburu Paul Guthiga Stephen Wambua |
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| Affiliation: | 1. Technical University of Madrid (UPM), Department of Forest Engineering and Management, Forestry School, Ciudad Universitaria s/n, 28040 Madrid, Spain;2. INIA-CIFOR. Ctra. A Coruña, km 7.5, 28040 Madrid, Spain;3. Sustainable Forest Management Research Institute, University of Valladolid-INIA, Avda, de Madrid 57, 34004 Palencia, Spain;4. Ungulate Research Unit, Cátedra de Recursos Cinegéticos y Piscícolas (CRCP), Universidad de Córdoba, 14071 Córdoba, Spain;5. Institute for Public Goods and Policies (IPP), Spanish National Research Council (CSIC), C/Albasanz 26-28, 28037 Madrid, Spain;1. Centre for Development and Environment, University of Bern, Hallerstrasse 10, Bern 3012, Switzerland;2. Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, Rome 00153, Italy;3. Facultad Latinoamericana de Ciencias Sociales, La Pradera E7-174 y Av. Diego de Almagro-PBX, Quito, Ecuador;4. Institute of Geography and Sustainability, University of Lausanne, Lausanne 1015, Switzerland |
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| Abstract: | The Kakamega Forest is the only remaining tropical rainforest fragment in Western Kenya and hosts large numbers of endemic animal and plant species. Protected areas were established decades ago in order to preserve the forest's unique biodiversity from being converted into agricultural land by the regions large number of small-scale farmers. Nonetheless, recent research shows that degradation continues at alarming rates. In this paper we address an important challenge faced by protected area management, namely, the design of a cost-effective incentive scheme that balances local demand for subsistence non-timber forest products against conservation interests. Using primary data collected from 369 randomly selected farm-households we combine a farm-household classification with mathematical programming in order to estimate the opportunity costs of conserving the Kakamega Forest and restricting access to non-timber forest product resources. We validate our model and analyze the impact of changes in major economic frame conditions on our results before we derive recommendations for an improved protected area management in the study region. Our findings suggest that a more flexible approach to determining the price of recently established forest product extraction permits would greatly enhance management efficiency without significantly compromising local wellbeing. |
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