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Public attitudes toward the construction of new power plants in South Korea

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  • JongRoul Woo
  • HyungBin Moon
  • Jongsu Lee
  • Jinyong Jang

Abstract

South Korea is facing difficulties securing sufficient generating capacity to meet its rapidly growing electricity demand because of public opposition to new power plants. Therefore, considering public attitudes toward energy supply facilities is crucial to implement a national energy plan. In this study, we empirically analyze South Korean attitudes, perceptions, and ideology factors related to building new fossil fuel, nuclear, and renewable energy power plants. We find that fossil fuel and nuclear power generation could incur additional social costs owing to the strength of public opposition and NIMBY (not in my backyard) syndrome despite their cheaper generation cost than renewables. Further, while the public generally agrees to expand renewable energy nationally, it could oppose such proposals locally. Finally, an increase in the public’s knowledge about renewables and nuclear fuel could help improve attitudes toward these energy sources, whereas an increase in environmentalism may improve attitudes toward renewables only.

Suggested Citation

  • JongRoul Woo & HyungBin Moon & Jongsu Lee & Jinyong Jang, 2017. "Public attitudes toward the construction of new power plants in South Korea," Energy & Environment, , vol. 28(4), pages 499-517, June.
  • Handle: RePEc:sae:engenv:v:28:y:2017:i:4:p:499-517
    DOI: 10.1177/0958305X17705948
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    as
    1. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.
    2. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    3. Hank C. Jenkins‐Smith & Carol L. Silva & Matthew C. Nowlin & Grant deLozier, 2011. "Reversing Nuclear Opposition: Evolving Public Acceptance of a Permanent Nuclear Waste Disposal Facility," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 629-644, April.
    4. Iosif Botetzagias & Chrisovaladis Malesios & Anthi Kolokotroni & Yiannis Moysiadis, 2015. "The role of NIMBY in opposing the siting of wind farms: evidence from Greece," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 58(2), pages 229-251, February.
    5. 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.
    6. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
    7. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan, 2005. "A multidimensional mixed ordered-response model for analyzing weekend activity participation," Transportation Research Part B: Methodological, Elsevier, vol. 39(3), pages 255-278, March.
    8. Viklund, Mattias, 2004. "Energy policy options--from the perspective of public attitudes and risk perceptions," Energy Policy, Elsevier, vol. 32(10), pages 1159-1171, July.
    9. Greenberg, Michael, 2009. "Energy sources, public policy, and public preferences: Analysis of US national and site-specific data," Energy Policy, Elsevier, vol. 37(8), pages 3242-3249, August.
    10. Ahn, Joongha & Woo, JongRoul & Lee, Jongsu, 2015. "Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry," Energy Policy, Elsevier, vol. 78(C), pages 78-90.
    11. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    12. Bronfman, Nicolás C. & Jiménez, Raquel B. & Arévalo, Pilar C. & Cifuentes, Luis A., 2012. "Understanding social acceptance of electricity generation sources," Energy Policy, Elsevier, vol. 46(C), pages 246-252.
    13. Vassilis A. Hajivassiliou & Daniel L. McFadden, 1998. "The Method of Simulated Scores for the Estimation of LDV Models," Econometrica, Econometric Society, vol. 66(4), pages 863-896, July.
    14. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    15. Zhai, Pei & Williams, Eric D., 2012. "Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model," Renewable Energy, Elsevier, vol. 41(C), pages 350-357.
    16. Michael Greenberg & Heather Barnes Truelove, 2011. "Energy Choices and Risk Beliefs: Is It Just Global Warming and Fear of a Nuclear Power Plant Accident?," Risk Analysis, John Wiley & Sons, vol. 31(5), pages 819-831, May.
    17. Labay, Duncan G & Kinnear, Thomas C, 1981. "Exploring the Consumer Decision Process in the Adoption of Solar Energy Systems," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(3), pages 271-278, December.
    18. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, September.
    19. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
    20. Alexandra-Gwyn Paetz & Elisabeth Dütschke & Wolf Fichtner, 2012. "Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions," Journal of Consumer Policy, Springer, vol. 35(1), pages 23-41, March.
    21. Jones, Christopher R. & Eiser, J. Richard, 2009. "Identifying predictors of attitudes towards local onshore wind development with reference to an English case study," Energy Policy, Elsevier, vol. 37(11), pages 4604-4614, November.
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    2. Jobin, Marilou & Siegrist, Michael, 2018. "We choose what we like – Affect as a driver of electricity portfolio choice," Energy Policy, Elsevier, vol. 122(C), pages 736-747.
    3. Woo, JongRoul & Chung, Sungsam & Lee, Chul-Yong & Huh, Sung-Yoon, 2019. "Willingness to participate in community-based renewable energy projects: A contingent valuation study in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 643-652.
    4. Dongnyok Shim & Seung Wan Kim & Jörn Altmann, 2018. "Strategic management of residential electric services in the competitive market: Demand-oriented perspective," Energy & Environment, , vol. 29(1), pages 49-66, February.
    5. Satomi Kohyama & Ryo Kohsaka, 2024. "Wind farms in contested landscapes: Procedural and scale gaps of wind power facility constructions in Japan," Energy & Environment, , vol. 35(3), pages 1396-1415, May.
    6. Jihee Lee & HyungBin Moon & Jongsu Lee, 2021. "Consumers’ heterogeneous preferences toward the renewable portfolio standard policy: An evaluation of Korea’s energy transition policy," Energy & Environment, , vol. 32(4), pages 648-667, June.
    7. Choi, Hyunhong & Shim, Dongnyok & Kim, Seung Wan, 2024. "Heterogeneous public preferences for undergrounding high-voltage power transmission lines: The case of Seoul metropolitan area in South Korea," Energy Economics, Elsevier, vol. 132(C).
    8. Choi, Hyunhong & Shin, Jungwoo & Woo, JongRoul, 2018. "Effect of electricity generation mix on battery electric vehicle adoption and its environmental impact," Energy Policy, Elsevier, vol. 121(C), pages 13-24.

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