Do turbines in the vicinity of respondents' residences influence choices among programmes for future wind power generation?

Jürgen Meyerhoff
2013 Journal of Choice Modeling  
This paper contributes to an emerging literature on accounting for spatial characteristics in environmental valuation using stated preference techniques. It is studied whether the present spatial allocation of turbines in a region affects stated choices on alternative programmes describing the future shape of wind power generation. Due to the present allocation inhabitants of the study region are exposed differently to turbines. Using a Geographical Information System (GIS) various measures
more » ... arious measures describing the relation between respondents' place of residence and turbines are calculated, e.g. the straight distance to the nearest turbine and whether the turbine is part of a wind farm. These measures are incorporated in both continuous and finite mixture approaches, analysing whether exposure to turbines affects respondents' choices among alternatives. Additionally, two global tests for spatial autocorrelation are used to analyse whether the individual-specific willingness to pay (WTP) estimates spatially auto correlate. The results show that location, i.e., exposure to turbines, matters but in a different way than expected. Those who live further away from turbines are more likely to be opponents of wind power generation. The WTP estimates correlate weakly at best, indicating that living in the same place and thus experiencing a similar exposure to turbines does not necessarily lead to similar preferences regarding the future shape of wind power generation.
doi:10.1016/j.jocm.2013.04.010 fatcat:ivyuzosuqffr5dfqbkxu7cxole