Payment for forest ecosystem services through willingness to pay in Oba Hill Forest Reserve, Osun State, Nigeria
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Forest supplies several products and services and these services includes timber and non-timber products, as well as a number of intangible or non- market services. Forest ecosystem services are complicated because many of these services are difficult to evaluate in monetary terms. This study assessed the socio-economic characteristics of the respondents, willingness to pay (WTP) and factors that influenced the WTP for ecosystem services in Oba Hill forest reserve, Osun State. A pre-tested semi-structured questionnaire and interview guide was used to collect information from the respondents. A total number of 100 respondents were selected randomly in the adjoining forest communities. Descriptive statistics were used to describe the socio-economic characteristics of the respondents and choice experiment was used to assess Willingness-to-Pay (WTP) and factors that influenced them D-Optimal design with a D-efficiency of 99.9% was developed for the choice experiment. A practical set of 9 choice sets with two product profiles and a status quo alternative were obtained. Random Parameters Mixed Multinomial Logit (MIXL) and Generalized Multinomial Logit (G-MNL) models were used to estimate the willingness to pay (WTP) and the factors that influenced the WTP of an individual for the attributes of forest ecosystem services. Wildlife loss, soil fertility and cost attributes were significant at 0.1% significance level (p≤0.001). Mean WTP estimate of a household for increase in soil fertility, reduction of wildlife loss, multiples of important tree species were 8.60, 7.61 and 39.95 (Naira) per month respectively. Respondents were not willing to pay for the mitigation of weather fluctuation. Also, WTP of the respondents was mainly influenced by farming households. Therefore, this study concludes that the WTP for the ecosystem services in the study area was partly influenced by the socio-economic characteristics of the respondents.
Keywords: Ecosystem services; forest reserves; generalized multinomial logit; mixed multinomial logit and willingness to pay
ID: 3484151