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Assessing the Impact of Offshore Wind Power Deployment on Fishery: A Synthetic Control Approach

Author

Listed:
  • Hideki Shimada

    (National Institute of Advanced Industrial Science and Technology)

  • Kenji Asano

    (Central Research Institute of Electric Power Industry)

  • Yu Nagai

    (Central Research Institute of Electric Power Industry)

  • Akito Ozawa

    (National Institute of Advanced Industrial Science and Technology)

Abstract

Global efforts to decarbonize the energy sector are necessary to curb global warming, and many countries plan to achieve this through the rapid deployment of offshore wind power. However, the deployment will likely decelerate if local fishers plying their trade near maritime areas likely to host offshore wind farms oppose the deployments due to anticipated fishery disruptions. To date, there is no body of knowledge on the causal impact of offshore wind farm installation on local fisheries. Using fishery production panel data at the municipality level in Japan, this study applies a synthetic control method to measure causal impacts. The results suggest that offshore wind farms currently installed in Japan are unlikely to disrupt local fisheries. We find no statistically significant effects either on aggregated fishery production or on production categorized by fishery type. Moreover, we find no spatial spillover effects. Although the generalization of our findings requires caution because they are based on small-scale wind farms, our results imply that such moderate-size wind projects may not harm local fisheries.

Suggested Citation

  • Hideki Shimada & Kenji Asano & Yu Nagai & Akito Ozawa, 2022. "Assessing the Impact of Offshore Wind Power Deployment on Fishery: A Synthetic Control Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(3), pages 791-829, November.
  • Handle: RePEc:kap:enreec:v:83:y:2022:i:3:d:10.1007_s10640-022-00710-0
    DOI: 10.1007/s10640-022-00710-0
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    as
    1. Kirkpatrick, A. Justin & Bennear, Lori S., 2014. "Promoting clean energy investment: An empirical analysis of property assessed clean energy," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 357-375.
    2. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2021. "The Augmented Synthetic Control Method," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1789-1803, October.
    3. Matthew A. Cole & Robert J R Elliott & Bowen Liu, 2020. "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 553-580, August.
    4. Wee, Sherilyn, 2016. "The effect of residential solar photovoltaic systems on home value: A case study of Hawai‘i," Renewable Energy, Elsevier, vol. 91(C), pages 282-292.
    5. Mónica Amador-Jiménez & Naomi Millner & Charles Palmer & R. Toby Pennington & Lorenzo Sileci, 2020. "The Unintended Impact of Colombia’s Covid-19 Lockdown on Forest Fires," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1081-1105, August.
    6. Mattmann, Matteo & Logar, Ivana & Brouwer, Roy, 2016. "Wind power externalities: A meta-analysis," Ecological Economics, Elsevier, vol. 127(C), pages 23-36.
    7. Eli Ben‐Michael & Avi Feller & Jesse Rothstein, 2022. "Synthetic controls with staggered adoption," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 351-381, April.
    8. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1849-1864, October.
    9. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    10. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    11. Ando, Michihito, 2015. "Dreams of urbanization: Quantitative case studies on the local impacts of nuclear power facilities using the synthetic control method," Journal of Urban Economics, Elsevier, vol. 85(C), pages 68-85.
    12. Reilly, Kieran & O’Hagan, Anne Marie & Dalton, Gordon, 2015. "Attitudes and perceptions of fishermen on the island of Ireland towards the development of marine renewable energy projects," Marine Policy, Elsevier, vol. 58(C), pages 88-97.
    13. Upton, Gregory B. & Snyder, Brian F., 2017. "Funding renewable energy: An analysis of renewable portfolio standards," Energy Economics, Elsevier, vol. 66(C), pages 205-216.
    14. Snyder, Brian & Kaiser, Mark J., 2009. "Ecological and economic cost-benefit analysis of offshore wind energy," Renewable Energy, Elsevier, vol. 34(6), pages 1567-1578.
    15. Hooper, Tara & Ashley, Matthew & Austen, Melanie, 2015. "Perceptions of fishers and developers on the co-location of offshore wind farms and decapod fisheries in the UK," Marine Policy, Elsevier, vol. 61(C), pages 16-22.
    16. Jarvis, Stephen, 2021. "The economic costs of NIMBYism: evidence from renewable energy projects," LSE Research Online Documents on Economics 113653, London School of Economics and Political Science, LSE Library.
    17. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede, 2014. "The Vindication of Don Quixote: The Impact of Noise and Visual Pollution from Wind Turbines," Land Economics, University of Wisconsin Press, vol. 90(4), pages 668-682.
    18. Karen Maguire & Abdul Munasib, 2016. "The Disparate Influence of State Renewable Portfolio Standards on Renewable Electricity Generation Capacity," Land Economics, University of Wisconsin Press, vol. 92(3), pages 468-490.
    19. Severin Borenstein, 2012. "The Private and Public Economics of Renewable Electricity Generation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 67-92, Winter.
    20. Gasparatos, Alexandros & Doll, Christopher N.H. & Esteban, Miguel & Ahmed, Abubakari & Olang, Tabitha A., 2017. "Renewable energy and biodiversity: Implications for transitioning to a Green Economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 161-184.
    21. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    22. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    23. Varela-Vázquez, Pedro & Sánchez-Carreira, María del Carmen, 2017. "Estimation of the potential effects of offshore wind on the Spanish economy," Renewable Energy, Elsevier, vol. 111(C), pages 815-824.
    24. Grant R. McDermott & Kyle C. Meng & Gavin G. McDonald & Christopher J. Costello, 2019. "The blue paradox: Preemptive overfishing in marine reserves," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(12), pages 5319-5325, March.
    25. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
    26. Alexander, Karen A. & Wilding, Thomas A. & Jacomina Heymans, Johanna, 2013. "Attitudes of Scottish fishers towards marine renewable energy," Marine Policy, Elsevier, vol. 37(C), pages 239-244.
    27. Joseph Cullen, 2013. "Measuring the Environmental Benefits of Wind-Generated Electricity," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 107-133, November.
    28. Keita Abe & Christopher M. Anderson, 2022. "A Dynamic Model of Endogenous Fishing Duration," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 9(3), pages 425-454.
    29. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    30. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede, 2014. "The Vindication of Don Quixote: The Impact of Noise and Visual Pollution from Wind Turbines," Land Economics, University of Wisconsin Press, vol. 90(4), pages 668-682.
    31. Martin D. Heintzelman & Carrie M. Tuttle, 2012. "Values in the Wind: A Hedonic Analysis of Wind Power Facilities," Land Economics, University of Wisconsin Press, vol. 88(3), pages 571-588.
    32. King, Gary & Zeng, Langche, 2006. "The Dangers of Extreme Counterfactuals," Political Analysis, Cambridge University Press, vol. 14(2), pages 131-159, April.
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    More about this item

    Keywords

    Causal impacts; Observational data; Quantitative analysis; Renewable energy; Synthetic control method;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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