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Sustainability 2015, 7(9), 11909-11932; doi:10.3390/su70911909

Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey

Department of Economics, University of Perugia, Via A. Pascoli n. 20, 06123 Perugia, Italy
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Academic Editor: Arnulf Jäger-Waldau
Received: 27 May 2015 / Revised: 20 August 2015 / Accepted: 21 August 2015 / Published: 27 August 2015
(This article belongs to the Section Sustainable Use of the Environment and Resources)
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Abstract

In dealing with renewable electricity (RE), individuals are involved both as end-consumers on the demand side and as stakeholders (citizens) in the local production process on the supply side. Empirical evidence shows that in many countries, consumers are willing to pay a significant amount to facilitate adoption of RE. By contrast, environmental externalities are often the cause of strong opposition to RE adoption if local communities are involved as stakeholders in wind, solar or biomass investment projects. Looking at the literature on willingness to pay and on willingness to accept, we have investigated RE acceptance mechanisms. First, we have used the meta-analysis to assess the major determinants of RE acceptance on both demand and supply sides. Meta-analysis has provided some insights useful for managing field research on an onshore wind farm enlargement project located in the Umbria region. Meta-analysis and survey results confirm that the local community plays a central role in local RE acceptance. Furthermore, people who have previous experience with windmills require less compensation, or are willing to pay more, for RE development. Results suggest that these attributes should be included in future research to improve understanding of determinants of RE acceptance. View Full-Text
Keywords: renewable electricity; meta-analysis; willingness to pay; willingness to accept; citizens; consumers; Nimby syndrome; local community renewable electricity; meta-analysis; willingness to pay; willingness to accept; citizens; consumers; Nimby syndrome; local community
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MDPI and ACS Style

Bigerna, S.; Polinori, P. Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey. Sustainability 2015, 7, 11909-11932.

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