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The impact of government-funded renewable energy R&D on its consumption

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  • Herzer, Dierk

Abstract

With the increasing urgency to shift away from fossil fuels, many governments are boosting their funding for renewable energy research and development (R&D). The fundamental premise behind these efforts is that government-funded renewable energy R&D contributes to increased consumption of renewable energy. This paper examines this premise employing panel data from 26 countries between 1974 and 2022. Based on panel cointegration methods and panel causality tests, this study finds robust evidence of a statistically significant positive long-term relationship between government-funded renewable energy R&D and renewable energy consumption. It also identifies unidirectional causality running from the former to the latter.

Suggested Citation

  • Herzer, Dierk, 2025. "The impact of government-funded renewable energy R&D on its consumption," Journal of Policy Modeling, Elsevier, vol. 47(5), pages 903-918.
  • Handle: RePEc:eee:jpolmo:v:47:y:2025:i:5:p:903-918
    DOI: 10.1016/j.jpolmod.2025.06.001
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    References listed on IDEAS

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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. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris, 2021. "R&D expenditure and energy consumption in OECD nations," Energy Economics, Elsevier, vol. 100(C).
    3. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2016. "Long-Run Effects in Large Heterogeneous Panel Data Models with Cross-Sectionally Correlated Errors," Advances in Econometrics, in: Essays in Honor of man Ullah, volume 36, pages 85-135, Emerald Group Publishing Limited.
    4. Herzer, Dierk & Vollmer, Sebastian, 2013. "Rising top incomes do not raise the tide," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 504-519.
    5. Pradhan, Rudra P. & Arvin, Mak B. & Nair, Mahendhiran & Bennett, Sara E., 2020. "The dynamics among entrepreneurship, innovation, and economic growth in the Eurozone countries," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 1106-1122.
    6. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    7. Borozan, Dj, 2022. "Asymmetric effects of policy uncertainty on renewable energy consumption in G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 412-420.
    8. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    9. Wang, Qiang & Zhang, Fuyu, 2021. "Free trade and renewable energy: A cross-income levels empirical investigation using two trade openness measures," Renewable Energy, Elsevier, vol. 168(C), pages 1027-1039.
    10. Karavias, Yiannis & Tzavalis, Elias, 2014. "Testing for unit roots in short panels allowing for a structural break," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 391-407.
    11. Shinwari, Riazullah & Wang, Yangjie & Gozgor, Giray & Mousavi, Mahdi, 2024. "Does FDI affect energy consumption in the belt and road initiative economies? The role of green technologies," Energy Economics, Elsevier, vol. 132(C).
    12. Munir, Qaiser & Lean, Hooi Hooi & Smyth, Russell, 2020. "CO2 emissions, energy consumption and economic growth in the ASEAN-5 countries: A cross-sectional dependence approach," Energy Economics, Elsevier, vol. 85(C).
    13. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    14. Doytch, Nadia & Narayan, Seema, 2016. "Does FDI influence renewable energy consumption? An analysis of sectoral FDI impact on renewable and non-renewable industrial energy consumption," Energy Economics, Elsevier, vol. 54(C), pages 291-301.
    15. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    16. David Canning & Peter Pedroni, 2008. "Infrastructure, Long‐Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, September.
    17. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    18. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    19. 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.
    20. Tiwari, Aviral Kumar & Eapen, Leena Mary & Nair, Sthanu R, 2021. "Electricity consumption and economic growth at the state and sectoral level in India: Evidence using heterogeneous panel data methods," Energy Economics, Elsevier, vol. 94(C).
    21. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    22. Artūras Juodis & Yiannis Karavias & Vasilis Sarafidis, 2021. "A homogeneous approach to testing for Granger non-causality in heterogeneous panels," Empirical Economics, Springer, vol. 60(1), pages 93-112, January.
    23. 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.
    24. Eregha, Perekunah Bright & Adeleye, Bosede Ngozi & Ogunrinola, Ifeoluwa, 2022. "Pollutant emissions, energy use and real output in Sub-Saharan Africa (SSA) countries," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 64-82.
    25. Christian Gengenbach & Jean‐Pierre Urbain & Joakim Westerlund, 2016. "Error Correction Testing in Panels with Common Stochastic Trends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 982-1004, September.
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    Keywords

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    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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