Ravago, Majah-Leah V.Barrera, Mishael Joy S.2024-11-142024-11-142017-06https://selib.upd.edu.ph/etdir/handle/123456789/1320This study provides a formal attempt to empirically quantify the impact of wind farm development projects to the local tourism industry. Specifically, it provides a framework that assumes the presence of wind mills in the community can decrease the value of the landscape. The Contingent Valuation Method (CVM) assessed the change in value of the landscape by examining the change in willingness-to-pay (WTP) of tourists assuming that individuals value the scenery and the introduction of ‘industrial infrastructure, be it wind turbines or other metal structures, may decrease its value. A survey conducted via the internet was designed to explore the scenic value lost to the public when a wind farm like the one in Bangui, Ilocos Norte is established. Contrary to the findings of studies abroad, results show that tourists are willing to pay an additional amount in order to upgrade to a room with the view of wind mills. The data sets demonstrate that under standard assumptions, the wind farm provides a positive value based on the point of view of potential tourists. The positive valuation of individuals to wind farm facilities can be potentially translated as increase in tourist arrivals in the area, which would mean additional revenues through employment generation, tourist expenditures, accommodation and transportation, among others. Hence, additional revenues increase the benefits over time that may further improve the local community welfare. This implies that wind farms are potential tourist destinations sites on which careful planning and monitoring of tourism activities must be undertaken in order to provide a sustainable tourism development plan that would trickle-down benefits to the local residents of the community.enWind energyContingent valuation methodMultinomial logit modelTourism developmentWillingness to payPowering tourism: wind energy and its impact on rural tourism in Ilocos NorteThesis