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The impact of nuclear energy on social welfare and the future of renewable energy: episode from South Korea
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  • Published: 09 February 2026

The impact of nuclear energy on social welfare and the future of renewable energy: episode from South Korea

  • Minhyuk Jeong1,2,
  • Zhuang Chu3 &
  • Kwangwon Ahn1,2 

Humanities and Social Sciences Communications , Article number:  (2026) Cite this article

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  • Economics
  • Science, technology and society

Abstract

Nuclear and renewable energy are two significant energy sources, and their shares in the energy mix significantly depend on energy policy targets. This study examines how nuclear energy affects social welfare and uses a dynamic stochastic general equilibrium model to discuss renewable energy’s future. First, we consider the heterogeneous cost-efficiency of four energy sources—nuclear, renewable, liquefied natural gas, and coal; in our model, energy price is their composite price. Second, the model incorporates potential nuclear disasters, reflecting the negative impact of nuclear energy on the economy and social welfare. We calibrate the model using data from South Korea through the back-and-forth energy policy toward nuclear and renewable energy. The results show that an increased nuclear energy share promotes long-run welfare. This finding implies that the economic benefits of using nuclear energy due to its cost-efficiency outweigh the potential adverse effects of nuclear disasters. In contrast, more use of renewable energy negatively affects social welfare because of the high cost of renewable energy. However, due to the decreasing trend of electricity generation costs for renewable energy, this negative impact is expected to become negligible. Finally, our model reveals that rising energy policy uncertainty negatively affects consumption and output through delayed investment. The results imply that both nuclear and renewable energy are economically reasonable, and policymakers should minimize energy policy uncertainty rather than argue between them.

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Data availability

The code used to generate the results reported in this paper and the data generated or analysed during this study are included in the Supplementary Information.

References

  • Ahn K, Chu Z, Lee D (2021) Effects of renewable energy use in the energy mix on social welfare. Energy Econ 96: 105174

    Google Scholar 

  • Anh DLT, Quang NTT, Anh NT (2024) Investment decision and efficiency: global insights on manufacturing firms amidst energy uncertainties. Energy Econ 137: 107793

    Google Scholar 

  • Atalla T, Blazquez J, Hunt LC, Manzano B (2017) Prices versus policy: an analysis of the drivers of the primary fossil fuel mix. Energy Policy 106:536–546

    Google Scholar 

  • Azam A, Rafiq M, Shafique M, Yuan J (2021) Does nuclear or renewable energy consumption help to control environmental pollution? New evidence from China. Renew Energ Focus 39:139–147

    Google Scholar 

  • Babayomi OO, Dahoro DA, Zhang Z (2022) Affordable clean energy transition in developing countries: pathways and technologies. iScience 25(5):104178

    Google Scholar 

  • Baker SR, Bloom N, Davis SJ (2016) Measuring economic policy uncertainty. Q J Econ 131(4):1593–1636

    Google Scholar 

  • Ballester C, Furió D (2015) Effects of renewables on the stylized facts of electricity prices. Renew Sust Energ Rev 52:1596–1609

    Google Scholar 

  • Barro RJ (2006) Rare disasters and asset markets in the twentieth century. Q J Econ 121(3):823–866

    Google Scholar 

  • Barro RJ (2009) Rare disasters, asset prices, and welfare costs. Am Econ Rev 99(1):243–264

    Google Scholar 

  • Benson C, Clay E (2004) Understanding the economic and financial impacts of natural disasters. World Bank, Washington DC

  • Blazquez J, Hunt LC, Manzano B (2017) Oil subsidies and renewable energy in Saudi Arabia: a general equilibrium approach. Energy J 38(SI1):29–45

    Google Scholar 

  • Blazquez J, Fuentes-Bracamontes R, Bollino CA, Nezamuddin N (2018) The renewable energy policy paradox. Renew Sust Energ Rev 82(1):1–5

    Google Scholar 

  • Blazquez J, Hunt LC, Manzano B, Pierru A (2020) The value of saving oil in Saudi Arabia. Econ Energy Environ Policy 9(1):207–222

    Google Scholar 

  • Bongers A (2024) Household behavior and the rebound effect. Energy Econ 130: 107267

    Google Scholar 

  • Bouoiyour J, Selmi R, Hammoudeh S, Wohar ME (2019) What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats? Energy Econ 84: 104523

    Google Scholar 

  • Breetz H, Mildenberger M, Stokes L (2018) The political logics of clean energy transitions. Bus Polit 20(4):492–522

    Google Scholar 

  • Brown SPA, Yücel MK (2002) Energy prices and aggregate economic activity: an interpretative survey. Q Rev Econ Financ 42(2):193–208

    Google Scholar 

  • Brown SPA, Yücel MK (1999) Oil prices and U.S. aggregate economic activity: a question of neutrality. In: Economic and Financial Review, Second Quarter. Federal Reserve Bank of Dallas, p 16–23

  • Cantarero MMV (2020) Of renewable energy, energy democracy, and sustainable development: a roadmap to accelerate the energy transition in developing countries. Energy Res Soc Sci 70: 101716

    Google Scholar 

  • Carfora A, Pansini RV, Scandurra G (2022) Energy dependence, renewable energy generation and import demand: Are EU countries resilient? Renew Energy 195:1262–1274

    Google Scholar 

  • Chen W-M, Kim H, Yamaguchi H (2014) Renewable energy in eastern Asia: renewable energy policy review and comparative SWOT analysis for promoting renewable energy in Japan, South Korea, and Taiwan. Energy Policy 74:319–329

    Google Scholar 

  • Cheng Y, Yao X (2021) Carbon intensity reduction assessment of renewable energy technology innovation in China: a panel data model with cross-section dependence and slope heterogeneity. Renew Sust Energ Rev 135:110157

    Google Scholar 

  • Cheng W, Li Z, Chen J, Meng B, Ye M (2025) Smile curve of technological learning: A case study of nuclear power reactor technology in China. Ind Corp Change: dtaf013

  • Christiano LJ, Eichenbaum M (1992) Current real-business-cycle theories and aggregate labor-market fluctuations. Am Econ Rev 82(3):430–450

    Google Scholar 

  • Chu Z, Bian C, Yang J (2022) How can public participation improve environmental governance in China? A policy simulation approach with multi-player evolutionary game. Environ Impact Assess Rev 95:106782

    Google Scholar 

  • Cole WJ, Frazier A (2024) Cost projections for utility-scale battery storage. National Renewable Energy Laboratory (NREL) Technical Report: NREL/TP-6A20-73222

  • Cooley TF, Hansen GD (1989) The inflation tax in a real business cycle model. Am Econ Rev 1:733–748

    Google Scholar 

  • Cooley TF, Prescott EC (1995) Economic growth and business cycles. In: Cooley TF (ed), Frontiers of Business Cycle Research. Princeton University Press, Princeton, NJ, p 1–38

  • Cornot-Gandolphe S (2018) South Korea’s new electricity plan. Cosmetic changes or a breakthrough for the climate? Institut Francais des Relations Internationales. https://www.ifri.org/en/editorials/south-koreas-new-electricity-plan-cosmetic-changes-or-breakthrough-climate. Accessed 14 May 2025

  • Cunado J, Gupta R, Lau CKM, Sheng X (2020) Time-varying impact of geopolitical risks on oil prices. Def Peace Econ 31(6):692–706

    Google Scholar 

  • Dai J, Farooq U, Alam MM (2025) Navigating energy policy uncertainty: effects on fossil fuel and renewable energy consumption in G7 economies. Int J Green Energy 22(2):239–252

    Google Scholar 

  • Dang THN, Nguyen CP, Lee GS, Nguyen BQ, Le TT (2023) Measuring the energy-related uncertainty index Energy Econ 124:106817

    Google Scholar 

  • De Miguel C, Manzano B (2011) Gradual green tax reforms. Energy Econ 33:S50–S58

    Google Scholar 

  • Derwort P, Jager N, Newig J (2022) How to explain major policy change towards sustainability? Bringing together the multiple streams framework and the multilevel perspective on socio‐technical transitions to explore the German “Energiewende”. Policy Stud J 50(3): 671–699

    Google Scholar 

  • Deberdt R, Letourneau A, Le Billon P (2025) Unleashing American Energy? Uncertainties in energy transition developments under a new Trump administration. Energy Res Soc Sci 126:104169

    Google Scholar 

  • Dhawan R, Jeske K (2008) Energy price shocks and the macroeconomy: the role of consumer durables. J Money Credit Bank 40(7):1357–1377

    Google Scholar 

  • Le Dréau J, Heiselberg P (2016) Energy flexibility of residential buildings using short term heat storage in the thermal mass. Energy 111:991–1002

    Google Scholar 

  • Ferderer JP (1996) Oil price volatility and the macroeconomy. J Macroecon 18(1):1–26

    Google Scholar 

  • Fernández-Villaverde J, Guerrón-Quintana P, Rubio-Ramírez JF, Uribe M (2011) Risk matters: the real effects of volatility shocks. Am Econ Rev 101(6):2530–2561

    Google Scholar 

  • Fernández-Villaverde J, Guerrón-Quintana P, Kuester K, Rubio-Ramírez J (2015) Fiscal volatility shocks and economic activity. Am Econ Rev 105(11):3352–3384

    Google Scholar 

  • Finn MG (2000) Perfect competition and the effects of energy price increases on economic activity. J Money Credit Bank 32(3):400–416

    Google Scholar 

  • Fouquet R (2016) Historical energy transitions: speed, prices and system transformation. Energy Res Soc Sci 22: 7–12

    Google Scholar 

  • Gabaix X (2012) Variable rare disasters: an exactly solved framework for ten puzzles in macro-finance. Q J Econ 127(2):645–700

    Google Scholar 

  • Gamtessa SF, Guliani H (2024) Oil price and long-run economic growth in oil-importing developing countries. Res Econ 78(4):101009

    Google Scholar 

  • Geels FW, Kern F, Fuchs G, Hinderer N, Kungl G, Mylan J, Neukirch M, Wassermann S (2016) The enactment of socio-technical transition pathways: a reformulated typology and a comparative multi-level analysis of the German and UK low-carbon electricity transitions (1990–2014). Res Policy 45(4):896–913

    Google Scholar 

  • Gourio F (2012) Disaster risk and business cycles. Am Econ Rev 102(6):2734–2766

    Google Scholar 

  • Goutte S, Vassilopoulos P (2019) The value of flexibility in power markets. Energy Policy 125:347–357

    Google Scholar 

  • Gralla F, Abson DJ, Møller AP, Lang DJ, Von Wehrden H (2017) Energy transitions and national development indicators: a global review of nuclear energy production. Renew Sust Energ Rev 70:1251–1265

    Google Scholar 

  • Greenberg MR, Lahr M, Mantell N (2007) Understanding the economic costs and benefits of catastrophes and their aftermath: a review and suggestions for the US federal government. Risk Anal 27(1):83–96

    Google Scholar 

  • Guidolin M, Guseo R (2016) The German energy transition: modeling competition and substitution between nuclear power and renewable energy technologies. Renew Sust Energ Rev 60:1498–1504

    Google Scholar 

  • Hamilton JD (2008) Oil and the macroeconomy. In: Durlauf SN, Blume LE (eds), The New Palgrave Dictionary of Economics, 2nd edn. Palgrave Macmillan, London, p 4684–4689

  • Harrison C (2025) Trump and the US energy transition. Geogr J. 191(4):e70009

    Google Scholar 

  • Hassan Q, Viktor P, Al-Musawi TJ, Ali BM, Algburi S, Alzoubi HM, Al-Jiboory TJ, Sameen AZ, Salman HM, Jaszczur M (2024) The renewable energy role in the global energy transformations. Renew Energ Focus 48:100545

    Google Scholar 

  • Hilton I (2024) How China became the world’s leader on renewable energy. Yale Environment 360. https://e360.yale.edu/features/china-renewable-energy. Accessed 14 May 2025

  • Horwich G (2000) Economic lessons of the Kobe earthquake. Econ Dev Cult Change 48(3):521–542

    Google Scholar 

  • Huang KS, Huang SW (2012) Consumer welfare effects of increased food and energy prices. Appl Econ 44(19):2527–2536

    Google Scholar 

  • IAEA (2021) Nuclear power 10 years after Fukushima: The longroad back. https://www.iaea.org/newscenter/news/nuclear-power-10-years-after-fukushima-the-long-road-back. Accessed 14 May 2025

  • IRENA (2024) Renewable Power Generation Costs in 2023. International Renewable Energy Agency

  • Jensen SG, Skytte K (2002) Interactions between the power and green certificate markets. Energy Policy 30(5):425–435

    Google Scholar 

  • Jin T, Kim J (2018) What is better for mitigating carbon emissions–Renewable energy or nuclear energy? A panel data analysis. Renew Sust Energ Rev 91:464–471

    Google Scholar 

  • Jones LE, Manuelli R (1990) A convex model of equilibrium growth: theory and policy implications. J Polit Econ 98(5):1008–1038

    Google Scholar 

  • Jones LE, Manuelli RE, Rossi PE (1997) On the optimal taxation of capital income. J Econ Theory 73(1):93–117

    Google Scholar 

  • Jordan DC, Perry K, White R, Deline C (2023) Extreme weather and PV performance. IEEE J Photovolt 13(6):830–835

    Google Scholar 

  • Keen BD, Pakko MR (2011) Monetary policy and natural disasters in a DSGE model. South Econ J 77(4):973–990

    Google Scholar 

  • Kim I-M, Loungani P (1992) The role of energy in real business cycle models. J Monetary Econ 29(2):173–189

    Google Scholar 

  • Kim Y, Kim M, Kim W (2013) Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy. Energy Policy 61:822–828

    Google Scholar 

  • Kim SJ (2023) South Korea’s ‘unstable’ nuclear energy policy: From the Lee through Moon to Yoon governments. Heinrich-Böll-Stiftung. https://kr.boell.org/en/2023/04/14/south-koreas-unstable-nuclear-energy-policy-lee-through-moon-yoon-governments. Accessed 14 May 2025

  • Lescaroux F, Mignon V (2008) On the influence of oil prices on economic activity and other macroeconomic and financial variables. OPEC Energy Rev 32(4):343–380

    Google Scholar 

  • Liu J, Ma F, Tang Y, Zhang Y (2019) Geopolitical risk and oil volatility: a new insight. Energy Econ 84:104548

    Google Scholar 

  • Loungani P (1986) Oil price shocks and the dispersion hypothesis. Rev Econ Stat 68(3):536–539

    Google Scholar 

  • Miguel C, Manzano B, Martin-Moreno JM (2003) Oil price shocks and aggregate fluctuations. Energy J 24(2):47–61

    Google Scholar 

  • Mukhtarov S (2024) Oil prices and the renewable energy transition: empirical evidence from China Util Policy 91:101840

    Google Scholar 

  • Noy I (2009) The macroeconomic consequences of disasters. J Dev Econ 88(2):221–231

    Google Scholar 

  • O’Donnell, JK, 2013. Nuclear power in South Korea’s green growth strategy: Green growth quarterly update Ⅲ-2013. Council on Foreign Relations

    Google Scholar 

  • Obayashi Y, Hamada K (2016) Japan Nearly Doubles Fukushima Disaster-related Cost to $188 Billion. Reuters. https://www.reuters.com/article/business/japan-nearly-doubles-fukushima-disaster-related-cost-to-188-billion-idUSKBN13Y046/. Accessed 20 Sep 2025

  • Ouyang X, Lin B (2014) Levelized cost of electricity (LCOE) of renewable energies and required subsidies in China. Energy Policy 70:64–73

    Google Scholar 

  • Papaefthymiou G, Haesen E, Sach T (2018) Power system flexibility tracker: indicators to track flexibility progress towards high-RES systems. Renew Energy 127:1026–1035

    Google Scholar 

  • Park H, Shin Y (2018) The effects of oil price on the Korean economy: A global VAR approach. Emerg Mark Financ Trade 54(5):981–991

    Google Scholar 

  • Pietzcker RC, Ueckerdt F, Carrara S, De Boer HS, Després J, Fujimori S, Johnson N, Kitous A, Scholz Y, Sullivan P, Luderer G (2017) System integration of wind and solar power in integrated assessment models: a cross-model evaluation of new approaches. Energy Econ 64:583–599

    Google Scholar 

  • Pryor SC, Barthelmie RJ (2013) Assessing the vulnerability of wind energy to climate change and extreme events. Clim Change 121(1):79–91

    Google Scholar 

  • Qian L, Zeng Q, Li T (2022) Geopolitical risk and oil price volatility: evidence from Markov-switching model. Int Rev Econ Financ 81:29–38

    Google Scholar 

  • Qin Y, Hong K, Chen J, Zhang Z (2020) Asymmetric effects of geopolitical risks on energy returns and volatility under different market conditions. Energy Econ 90:104851

    Google Scholar 

  • Rebelo S, Xie D (1999) On the optimality of interest rate smoothing. J Monetary Econ 43(2):263–282

    Google Scholar 

  • Ren S, Hao Y, Wu H (2021) Government corruption, market segmentation and renewable energy technology innovation: evidence from China. J Environ Manage 300:113686

    Google Scholar 

  • Renn O, Marshall JP (2016) Coal, nuclear and renewable energy policies in Germany: from the 1950s to the “Energiewende. Energy Policy 99:224–232

    Google Scholar 

  • Rietz TA (1988) The equity risk premium a solution. J Monetary Econ 22(1):117–131

    Google Scholar 

  • Rose A (2004) Defining and measuring economic resilience to disasters. Disaster Prev Manag 13(4):307–314

    Google Scholar 

  • Rose A, Liao S-Y (2005) Modeling regional economic resilience to disasters: a computable general equilibrium analysis of water service disruptions. J Reg Sci 45(1):75–112

    Google Scholar 

  • Schnell MK, Weinstein DE (2012) Evaluating the economic response to Japan’s Earthquake. RIETI Policy Discussion Paper Series 12:P003

    Google Scholar 

  • Sensfuß F, Ragwitz M, Genoese M (2008) The merit-order effect: a detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany. Energy Policy 36(8):3086–3094

    Google Scholar 

  • Stokes LC (2013) The politics of renewable energy policies: the case of feed-in tariffs in Ontario, Canada. Energy Policy 56:490–500

    Google Scholar 

  • Stokey NL (2016) Wait-and-see: investment options under policy uncertainty. Rev Econ Dyn 21:246–265

    Google Scholar 

  • U.S. Energy Information Administration (2020) South Korea is One of the World’s Largest Nuclear Power Producers. https://www.eia.gov/todayinenergy/detail.php?id=44916. Accessed 14 May 2025

  • Usman O, Ozkan O, Koy A, Adebayo TS (2024) Energy-related uncertainty shocks and inflation dynamics in the US: a multivariate quantile-on-quantile regression approach. Struct Change Econ Dyn 71:235–247

    Google Scholar 

  • Watanabe R (2021) Breaking iron triangles: beliefs and interests in Japanese renewable energy policy. Soc Sci Jpn J 24(1):9–44

    Google Scholar 

  • Welsch M, Mentis D, Howells M (2014) Long-term energy systems planning: accounting for short-term variability and flexibility. In: Jones LE (ed), Renewable Energy Integration: Practical Management of Variability, Uncertainty and Flexibility in Power Grid. Academic Press, Cambridge, MA, p 215–225

  • Wen D, Gao W, Kuroki S, Gu Q, Ren J (2021) The effects of the new Feed-In Tariff Act for solar photovoltaic (PV) energy in the wake of the Fukushima accident in Japan. Energy Policy 156:112414

    Google Scholar 

  • World Nuclear Association (2024) Nuclear Power in Germany. https://world-nuclear.org/information-library/country-profiles/countries-g-n/germany. Accessed 14 May 2025

  • World Nuclear Association (2025a) Nuclear Power in China. https://world-nuclear.org/information-library/country-profiles/countries-a-f/china-nuclear-power. Accessed 14 May 2025

  • World Nuclear Association (2025b) Nuclear Power in Japan. https://world-nuclear.org/information-library/country-profiles/countries-g-n/japan-nuclear-power. Accessed 14 May 2025

  • World Nuclear Association (2025c) Supply of Uranium. https://world-nuclear.org/information-library/nuclear-fuel-cycle/uranium-resources/supply-of-uranium. Accessed 14 May 2025

  • World Nuclear News (2013) South Korean Nuclear Policy Unchanged. https://www.world-nuclear-news.org/Articles/South-Korean-nuclear-policy-unchanged. Accessed 14 May 2025

  • Würzburg K, Labandeira X, Linares P (2013) Renewable generation and electricity prices: taking stock and new evidence for Germany and Austria. Energy Econ 40(S1):159–171

    Google Scholar 

  • Zhan L, Bo Y, Lin T, Fan Z (2021) Development and outlook of advanced nuclear energy technology. Energy Strateg Rev 34:100630

    Google Scholar 

  • Zhu Y, Zheng Y, Ren Z (2024) Household welfare loss from energy price crisis: evidence from China. Energy Econ 138:107836

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2025-16067531: Kwangwon Ahn).

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Authors and Affiliations

  1. Department of Industrial Engineering, Yonsei University, Seoul, Republic of Korea

    Minhyuk Jeong & Kwangwon Ahn

  2. Center for Finance and Technology, Yonsei University, Seoul, Republic of Korea

    Minhyuk Jeong & Kwangwon Ahn

  3. School of Finance, Hunan University of Technology and Business, Changsha, Hunan, China

    Zhuang Chu

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  1. Minhyuk Jeong
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  2. Zhuang Chu
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Contributions

Minhyuk Jeong: data analysis, methodology, writing—original draft preparation, writing—review and editing. Zhuang Chu: conceptualization, data analysis, methodology, writing—original draft preparation. Kwangwon Ahn: conceptualization, methodology, supervision, writing—original draft preparation.

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Correspondence to Zhuang Chu or Kwangwon Ahn.

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Jeong, M., Chu, Z. & Ahn, K. The impact of nuclear energy on social welfare and the future of renewable energy: episode from South Korea. Humanit Soc Sci Commun (2026). https://doi.org/10.1057/s41599-026-06632-2

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  • Received: 10 February 2025

  • Accepted: 27 January 2026

  • Published: 09 February 2026

  • DOI: https://doi.org/10.1057/s41599-026-06632-2

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