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The suppressive effect of renewables on nuclear energy: implications for OECD countries

Author

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  • Masako Ikegami

    (Tokyo Institute of Technology
    Uppsala University)

  • Zijian Wang

    (Center for Pacific Asia Studies)

Abstract

This paper studies the impact of renewables on nuclear energy consumption in 15 OECD countries over the period 1991–2015. We find that the share of renewables (in total electricity production) has negative long-run effects on both nuclear energy consumption per capita and the share of nuclear energy (in total electricity production) while controlling for real GDP per capita, the proportion of carbon emissions from electricity production, and energy dependency. By taking proper account of both cross-section dependence and heterogeneity in the error-correction models, we find that a one percentage point increase in the share of renewables is associated with a 1.8% decrease in nuclear energy consumption per capita and a 2.7% decrease in the share of nuclear energy. Two main implications emerge. First, our results indicate a suppressive effect of renewables on nuclear energy in electric power generation, raising the possibility of restraining installed nuclear capacity through sustained penetration of renewables in OECD countries. Second, our results suggest the limited ability to replace nuclear energy with renewables in electric power generation. As a consequence, raising the share of renewables by rapidly deploying renewable energy technologies on a massive scale may not lead to the intended outcome of greatly reducing the dependence on nuclear energy in OECD countries.

Suggested Citation

  • Masako Ikegami & Zijian Wang, 2020. "The suppressive effect of renewables on nuclear energy: implications for OECD countries," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 247-265, April.
  • Handle: RePEc:spr:envpol:v:22:y:2020:i:2:d:10.1007_s10018-019-00258-2
    DOI: 10.1007/s10018-019-00258-2
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    1. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    2. Tiago V. De V. Cavalcanti & Kamiar Mohaddes & Mehdi Raissi, 2015. "Commodity Price Volatility and the Sources of Growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 857-873, September.
    3. Jaforullah, Mohammad & King, Alan, 2015. "Does the use of renewable energy sources mitigate CO2 emissions? A reassessment of the US evidence," Energy Economics, Elsevier, vol. 49(C), pages 711-717.
    4. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    5. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    6. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    7. Baltagi, Badi H. & Moscone, Francesco, 2010. "Health care expenditure and income in the OECD reconsidered: Evidence from panel data," Economic Modelling, Elsevier, vol. 27(4), pages 804-811, July.
    8. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    9. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    10. Cavalcanti, Tiago V. de V. & Mohaddes, Kamiar & Raissi, Mehdi, 2011. "Growth, development and natural resources: New evidence using a heterogeneous panel analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(4), pages 305-318.
    11. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    12. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    13. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    14. Ikegami, Masako & Wang, Zijian, 2016. "The long-run causal relationship between electricity consumption and real GDP: Evidence from Japan and Germany," Journal of Policy Modeling, Elsevier, vol. 38(5), pages 767-784.
    15. Baek, Jungho & Pride, Dominique, 2014. "On the income–nuclear energy–CO2 emissions nexus revisited," Energy Economics, Elsevier, vol. 43(C), pages 6-10.
    16. Apergis, Nicholas & Payne, James E. & Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth," Ecological Economics, Elsevier, vol. 69(11), pages 2255-2260, September.
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    Cited by:

    1. Masako Ikegami & Zijian Wang, 2024. "Does energy technology R&D save energy in OECD countries?," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-22, April.

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    More about this item

    Keywords

    Carbon emissions; Cross-section dependence; Heterogeneous panel; Nuclear phase-out; Renewable electricity;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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