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The Role of Community Involvement Mechanisms in Reducing Resistance to Energy Infrastructure Development

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  • Hyland, Marie
  • Bertsch, Valentin

Abstract

Across the EU, significant investments are being made in renewable generation and grid technologies, however, policy makers and planners are frequently met with resistance from local communities to proposed infrastructure development. Offering some form of involvement to the affected communities may reduce objections and minimise project delays. We carry out a nationally-representative survey of Irish citizens to analyse how different involvement methods affect acceptance. Ireland is a useful case study because of its high RES-E targets. Survey respondents are presented with four involvement models for the local construction of a wind farm, and two for the local development of the transmission grid. We find a preference for schemes in which people receive financial compensation without sharing in the ownership and associated risks of project development. Our econometric analyses show that socio-demographic characteristics such as age and income are significant predictors of people’s acceptance under different schemes. Moreover, we find that the satisfaction with local planning procedures and the trade-off people make between environmental sustainability and economic competitiveness are consistently associated with people’s attitudes. Such evidence can help policy makers better understand and design policies to minimise resistance to energy infrastructure development.

Suggested Citation

  • Hyland, Marie & Bertsch, Valentin, 2018. "The Role of Community Involvement Mechanisms in Reducing Resistance to Energy Infrastructure Development," Ecological Economics, Elsevier, vol. 146(C), pages 447-474.
    • Handle: RePEc:eee:ecolec:v:146:y:2018:i:c:p:447-474
    DOI: 10.1016/j.ecolecon.2017.11.016
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    1. Jobert, Arthur & Laborgne, Pia & Mimler, Solveig, 2007. "Local acceptance of wind energy: Factors of success identified in French and German case studies," Energy Policy, Elsevier, vol. 35(5), pages 2751-2760, May.
    2. Ek, Kristina & Persson, Lars, 2014. "Wind farms — Where and how to place them? A choice experiment approach to measure consumer preferences for characteristics of wind farm establishments in Sweden," Ecological Economics, Elsevier, vol. 105(C), pages 193-203.
    3. Bertsch, Valentin & Hall, Margeret & Weinhardt, Christof & Fichtner, Wolf, 2016. "Public acceptance and preferences related to renewable energy and grid expansion policy: Empirical insights for Germany," Energy, Elsevier, vol. 114(C), pages 465-477.
    4. van der Horst, Dan, 2007. "NIMBY or not? Exploring the relevance of location and the politics of voiced opinions in renewable energy siting controversies," Energy Policy, Elsevier, vol. 35(5), pages 2705-2714, May.
    5. Jed Cohen, Klaus Moeltner, Johannes Reichl and Michael Schmidthaler, 2016. "An Empirical Analysis of Local Opposition to New Transmission Lines Across the EU-27," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    6. Wustenhagen, Rolf & Wolsink, Maarten & Burer, Mary Jean, 2007. "Social acceptance of renewable energy innovation: An introduction to the concept," Energy Policy, Elsevier, vol. 35(5), pages 2683-2691, May.
    7. Richard Carson & Jordan Louviere, 2011. "A Common Nomenclature for Stated Preference Elicitation Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 539-559, August.
    8. Wolsink, Maarten, 2007. "Wind power implementation: The nature of public attitudes: Equity and fairness instead of 'backyard motives'," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1188-1207, August.
    9. Devine-Wright, Patrick & Batel, Susana & Aas, Oystein & Sovacool, Benjamin & Labelle, Michael Carnegie & Ruud, Audun, 2017. "A conceptual framework for understanding the social acceptance of energy infrastructure: Insights from energy storage," Energy Policy, Elsevier, vol. 107(C), pages 27-31.
    10. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2008. "Identification and estimation of marginal effects in nonlinear panel models," CeMMAP working papers CWP25/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Aitken, Mhairi, 2010. "Why we still don't understand the social aspects of wind power: A critique of key assumptions within the literature," Energy Policy, Elsevier, vol. 38(4), pages 1834-1841, April.
    12. Bertsch, Valentin & Hyland, Marie & Mahony, Michael, 2017. "What drives people's opinions of electricity infrastructure? Empirical evidence from Ireland," Energy Policy, Elsevier, vol. 106(C), pages 472-497.
    13. Ciupuliga, A.R. & Cuppen, E., 2013. "The role of dialogue in fostering acceptance of transmission lines: the case of a France–Spain interconnection project," Energy Policy, Elsevier, vol. 60(C), pages 224-233.
    14. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    15. Bidwell, David, 2013. "The role of values in public beliefs and attitudes towards commercial wind energy," Energy Policy, Elsevier, vol. 58(C), pages 189-199.
    16. Wolsink, Maarten, 2000. "Wind power and the NIMBY-myth: institutional capacity and the limited significance of public support," Renewable Energy, Elsevier, vol. 21(1), pages 49-64.
    17. Walker, Gordon & Devine-Wright, Patrick, 2008. "Community renewable energy: What should it mean," Energy Policy, Elsevier, vol. 36(2), pages 497-500, February.
    18. Richard Cowell & Gill Bristow & Max Munday, 2011. "Acceptance, acceptability and environmental justice: the role of community benefits in wind energy development," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(4), pages 539-557.
    19. Brennan, Noreen & Van Rensburg, Thomas M, 2016. "Wind farm externalities and public preferences for community consultation in Ireland: A discrete choice experiments approach," Energy Policy, Elsevier, vol. 94(C), pages 355-365.
    20. Battaglini, Antonella & Komendantova, Nadejda & Brtnik, Patricia & Patt, Anthony, 2012. "Perception of barriers for expansion of electricity grids in the European Union," Energy Policy, Elsevier, vol. 47(C), pages 254-259.
    21. Matthew Cotton & Patrick Devine-Wright, 2011. "Discourses of Energy Infrastructure Development: A Q-Method Study of Electricity Transmission Line Siting in the UK," Environment and Planning A, , vol. 43(4), pages 942-960, April.
    22. Zoellner, Jan & Schweizer-Ries, Petra & Wemheuer, Christin, 2008. "Public acceptance of renewable energies: Results from case studies in Germany," Energy Policy, Elsevier, vol. 36(11), pages 4136-4141, November.
    23. Noreen Brennan & Thomas M Van Rensburg & Cyril Morris, 2017. "Public acceptance of large-scale wind energy generation for export from Ireland to the UK: evidence from Ireland," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(11), pages 1967-1992, November.
    24. Zarnikau, Jay, 2003. "Consumer demand for `green power' and energy efficiency," Energy Policy, Elsevier, vol. 31(15), pages 1661-1672, December.
    25. מחקר - ביטוח לאומי, 2006. "Summary for 2005," Working Papers 29, National Insurance Institute of Israel.
    26. Gross, Catherine, 2007. "Community perspectives of wind energy in Australia: The application of a justice and community fairness framework to increase social acceptance," Energy Policy, Elsevier, vol. 35(5), pages 2727-2736, May.
    27. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    28. Guo, Yue & Ru, Peng & Su, Jun & Anadon, Laura Diaz, 2015. "Not in my backyard, but not far away from me: Local acceptance of wind power in China," Energy, Elsevier, vol. 82(C), pages 722-733.
    29. Bercedis Peterson & Frank E. Harrell, 1990. "Partial Proportional Odds Models for Ordinal Response Variables," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(2), pages 205-217, June.
    30. Raven, R.P.J.M. & Mourik, R.M. & Feenstra, C.F.J. & Heiskanen, E., 2009. "Modulating societal acceptance in new energy projects: Towards a toolkit methodology for project managers," Energy, Elsevier, vol. 34(5), pages 564-574.
    31. Musall, Fabian David & Kuik, Onno, 2011. "Local acceptance of renewable energy--A case study from southeast Germany," Energy Policy, Elsevier, vol. 39(6), pages 3252-3260, June.
    32. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    33. van Rensburg, Thomas M. & Kelley, Hugh & Jeserich, Nadine, 2015. "What influences the probability of wind farm planning approval: Evidence from Ireland," Ecological Economics, Elsevier, vol. 111(C), pages 12-22.
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