Measuring Renewable Energy Externalities: Evidence from Subjective Well-Being Data
Charlotte Moellendorff, Heinz Welsch
2015
Social Science Research Network
This series presents research findings based either directly on data from the German Socio-Economic Panel study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral
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... netics, demography, geography, and sport science. The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly. Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin. Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions. The SOEPpapers are available at Abstract Electricity from renewable sources avoids disadvantages of conventional power generation but often meets with local resistance due to visual, acoustic, and odor nuisance. We use representative panel data on the subjective well-being of 46,678 individuals in Germany, 1994-2012, for identifying and valuing the local externalities from solar, wind and biomass plants in respondents' postcode area and adjacent postcode areas. We find significant wellbeing externalities of all three technologies that differ with regard to their temporal and spatial characteristics. The monetary equivalent of 1 MW capacity expansion is estimated to be in the range of 0.3-0.7 percent of per capita income. , Do we really know what makes us happy? A review of the economic literature on the factors associated with subjective well-being, Journal of Economic Psychology 29, 94-122. Drechsler, M., Ohl, C., Meyerhoff, J., Eichhorn, M., Monsees, J. (2011), Combining spatial modeling and choice experiments for the optimal spatial allocation of wind turbines, Energy Policy 39, 3845-3854. , Do turbines in the vicinity of respondents' residences influence choices among programmes for future wind power generation?, Journal of Choice Modelling 7, 58-71. Meyerhoff, J., Ohl, C., Hartje, V. (2010), Landscape externalities from onshore wind power, Energy Policy 38, 82-92.
doi:10.2139/ssrn.2648017
fatcat:ixwfzejr55ahfhagwghrd7kbgi