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Offshore Wind Farms and Tourism Development Relationship to Energy Distribution Justice for the Beibu Gulf, China

Author

Listed:
  • Xin Nie

    (School of Public Administration, Guangxi University, Nanning 530004, China)

  • Hubin Ma

    (School of Public Administration, Guangxi University, Nanning 530004, China)

  • Sihan Chen

    (School of Public Administration, Guangxi University, Nanning 530004, China)

  • Kailu Li

    (School of Public Administration, Guangxi University, Nanning 530004, China)

  • Zhenhan Yu

    (School of Public Administration, Guangxi University, Nanning 530004, China)

  • Han Wang

    (School of Public Administration, Guangxi University, Nanning 530004, China)

  • Zhuxia Wei

    (School of Public Administration, Guangxi University, Nanning 530004, China)

Abstract

Energy distribution justice is of primary concern within the energy justice framework and it is crucial to increase public acceptance of offshore wind energy and further advance its development. The rapid development of offshore wind energy in China has inevitably impacted the livelihoods of coastal vulnerable groups (CVGs) engaged in fisheries and tourism in the coastal zone. While current policies often compensate for livelihood losses through cash payments, the fiscal strain caused by COVID-19 renders this approach unsustainable. Consequently, this research pioneers the exploration of Chinese tourist groups’ landscape preferences towards offshore wind farms (OWFs). This study proposes a new approach to enhance OWF landscapes for tourism development, thereby balancing the distribution of costs and benefits between CVGs and tourists. The research focuses on Beihai City in the Beibu Gulf Economic Region, utilizing a combination of Q-methodology and choice experiments that incorporates cut-offs. Answers to eighty Q-methodology questionnaires and 1324 choice experiment questionnaires are obtained. The findings indicate that this region can achieve energy distribution justice by compensating for the livelihood losses of CVGs through tourism. Contrary to traditional assumptions about wind farm noise preferences, Chinese tourists prefer proximity to OWFs, as an appropriate coastal acoustics landscape can enhance their tourism experience. In light of these findings, this paper presents policy recommendations towards energy distribution justice.

Suggested Citation

  • Xin Nie & Hubin Ma & Sihan Chen & Kailu Li & Zhenhan Yu & Han Wang & Zhuxia Wei, 2024. "Offshore Wind Farms and Tourism Development Relationship to Energy Distribution Justice for the Beibu Gulf, China," Land, MDPI, vol. 13(5), pages 1-23, May.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:678-:d:1393915
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    References listed on IDEAS

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    1. Kim, Choong-Ki & Jang, Seonju & Kim, Tae Yun, 2018. "Site selection for offshore wind farms in the southwest coast of South Korea," Renewable Energy, Elsevier, vol. 120(C), pages 151-162.
    2. Heffron, Raphael J., 2022. "Applying energy justice into the energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    3. Carr-Harris, Andrew & Lang, Corey, 2019. "Sustainability and tourism: the effect of the United States’ first offshore wind farm on the vacation rental market," Resource and Energy Economics, Elsevier, vol. 57(C), pages 51-67.
    4. Mattmann, Matteo & Logar, Ivana & Brouwer, Roy, 2016. "Wind power externalities: A meta-analysis," Ecological Economics, Elsevier, vol. 127(C), pages 23-36.
    5. Meyerhoff, Jürgen, 2013. "Do turbines in the vicinity of respondents' residences influence choices among programmes for future wind power generation?," Journal of choice modelling, Elsevier, vol. 7(C), pages 58-71.
    6. Chen, Xinping & Foley, Aoife & Zhang, Zenghai & Wang, Kaimin & O'Driscoll, Kieran, 2020. "An assessment of wind energy potential in the Beibu Gulf considering the energy demands of the Beibu Gulf Economic Rim," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    7. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    8. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    9. Hilary S. Boudet, 2019. "Public perceptions of and responses to new energy technologies," Nature Energy, Nature, vol. 4(6), pages 446-455, June.
    10. R. McKenna & J. M. Weinand & I. Mulalic & S. Petrović & K. Mainzer & T. Preis & H. S. Moat, 2021. "Scenicness assessment of onshore wind sites with geotagged photographs and impacts on approval and cost-efficiency," Nature Energy, Nature, vol. 6(6), pages 663-672, June.
    11. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    12. Sébastien Bourdin & Mathilde Colas & François Raulin, 2020. "Understanding the problems of biogas production deployment in different regions: territorial governance matters too," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(9), pages 1655-1673, July.
    13. Broekel, Tom & Alfken, Christoph, 2015. "Gone with the wind? The impact of wind turbines on tourism demand," Energy Policy, Elsevier, vol. 86(C), pages 506-519.
    14. Whitehead, John C. & Cherry, Todd L., 2007. "Willingness to pay for a Green Energy program: A comparison of ex-ante and ex-post hypothetical bias mitigation approaches," Resource and Energy Economics, Elsevier, vol. 29(4), pages 247-261, November.
    15. Waiyan Leong & David Alan Hensher, 2012. "Embedding Decision Heuristics in Discrete Choice Models: A Review," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 313-331, February.
    16. Swait, Joffre, 2001. "A non-compensatory choice model incorporating attribute cutoffs," Transportation Research Part B: Methodological, Elsevier, vol. 35(10), pages 903-928, November.
    17. Jensen, Anne Kejser, 2019. "A Structured Approach to Attribute Selection in Economic Valuation Studies: Using Q-methodology," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    18. le Maitre, Julia & Ryan, Geraldine & Power, Bernadette & O'Connor, Ellen, 2023. "Empowering onshore wind energy: A national choice experiment on financial benefits and citizen participation," Energy Policy, Elsevier, vol. 173(C).
    19. Cranmer, Alexana & Broughel, Anna Ebers & Ericson, Jonathan & Goldberg, Mike & Dharni, Kira, 2023. "Getting to 30 GW by 2030: Visual preferences of coastal residents for offshore wind farms on the US East Coast," Energy Policy, Elsevier, vol. 173(C).
    20. Joshua E. Cinner & W. Neil Adger & Edward H. Allison & Michele L. Barnes & Katrina Brown & Philippa J. Cohen & Stefan Gelcich & Christina C. Hicks & Terry P. Hughes & Jacqueline Lau & Nadine A. Marsha, 2018. "Building adaptive capacity to climate change in tropical coastal communities," Nature Climate Change, Nature, vol. 8(2), pages 117-123, February.
    21. 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.
    22. Müller, Florian Johannes Yanic & Leschinger, Valentin & Hübner, Gundula & Pohl, Johannes, 2023. "Understanding subjective and situational factors of wind turbine noise annoyance," Energy Policy, Elsevier, vol. 173(C).
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