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Developing an Indicator System for Measuring the Social Sustainability of Offshore Wind Power Farms

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  • Tzay-An Shiau

    (Department of Harbor and River Engineering, National Taiwan Ocean University, Pei-Nein Road, Keelung 20224, Taiwan)

  • Ji-Kai Chuen-Yu

    (Department of Harbor and River Engineering, National Taiwan Ocean University, Pei-Nein Road, Keelung 20224, Taiwan)

Abstract

Taiwan’s government has promoted investment in an offshore wind power farm, and local fishermen have protested. A social impact assessment (SIA) has examined the impact of the proposed offshore wind power farm on all stakeholders. The main objective of the present study was to develop an indicator system for measuring the social sustainability of offshore wind power farms; this study also reports on the particular case of Taiwan’s offshore wind power project. This study began by defining 35 social sustainability indicators and selecting 23 representative indicators by using rough set theory. Subsequently, 14 key indicators were constructed using the social construction of technology (SCOT) method. Finally, we developed a social impact index for evaluating the social sustainability of offshore wind power farms by using the analytic network process and Dempster-Shafer theory. Our social impact index yields a total score of 0.149 for Taiwan’s pilot offshore wind power project; this result indicates that the pilot project is socially sustainable. A substantial contradiction exists between the fishermen’s protest and the results of the social impact assessment. The findings can assist the government in building a coordination platform for the investors and the fishermen. Government regulation is necessary to set boundaries for fishing areas that protect both the fishermen’s and investors’ rights.

Suggested Citation

  • Tzay-An Shiau & Ji-Kai Chuen-Yu, 2016. "Developing an Indicator System for Measuring the Social Sustainability of Offshore Wind Power Farms," Sustainability, MDPI, vol. 8(5), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:5:p:470-:d:69894
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    References listed on IDEAS

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    3. Loomis, John J. & Knaus, Michael & Dziedzic, Maurício, 2019. "Integrated quantification of forest total economic value," Land Use Policy, Elsevier, vol. 84(C), pages 335-346.
    4. Laura Montalbán-Domingo & Madeleine Aguilar-Morocho & Tatiana García-Segura & Eugenio Pellicer, 2020. "Study of Social and Environmental Needs for the Selection of Sustainable Criteria in the Procurement of Public Works," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    5. Bing Wang & Min Tian & Tingjun Lin & Yinlong Hu, 2018. "Distributed Complementary Control Research of Wind Turbines in Two Offshore Wind Farms," Sustainability, MDPI, vol. 10(2), pages 1-21, February.
    6. Michael Stein & Michele Acciaro, 2020. "Value Creation through Corporate Sustainability in the Port Sector: A Structured Literature Analysis," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    7. Guangdong Wu & Guofeng Qiang & Jian Zuo & Xianbo Zhao & Ruidong Chang, 2018. "What are the Key Indicators of Mega Sustainable Construction Projects? —A Stakeholder-Network Perspective," Sustainability, MDPI, vol. 10(8), pages 1-18, August.
    8. Ivan Ligardo-Herrera & Tomás Gómez-Navarro & Hannia Gonzalez-Urango, 2019. "Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 679-701, September.
    9. Bing Wang & Qiuxuan Wu & Min Tian & Qingyi Hu, 2017. "Distributed Coordinated Control of Offshore Doubly Fed Wind Turbine Groups Based on the Hamiltonian Energy Method," Sustainability, MDPI, vol. 9(8), pages 1-14, August.

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