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Public investment on renewable energy R&D Projects: The role of geopolitical risk, and economic and political uncertainties

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  • Yuen, Tin Hei Alpha
  • Yuen, Wai Kee Thomas

Abstract

Recently, there has been growing concern about the impacts of geopolitical tension as well as economic and political uncertainties on the decision-making process of governments when it comes to allocating resources for renewable energy R&D. This paper employs the panel autoregressive distributed lag (ARDL), cross-sectional panel autoregressive distributed lag (CS-ARDL) and Fully Modified Ordinary Least Squares (FMOLS) technique to examine the impacts of geopolitical risk, economic and political uncertainties, renewable energy technologies innovations, government financial affordability and CO2 emissions on government spending on renewable energy research and development projects. The novel aspects of the panel ARDL and CS-ARDL methodologies lie in their ability to capture both short-run and long-run dynamics within a panel data framework, as well as their ability to provide a more comprehensive understanding of the relationships under investigation. The empirical results presented in this paper indicate that in the face of ongoing geopolitical tension, as well as economic and political uncertainties, financially capable governments continue to increase their investments in renewable energy R&D in the long run. This strategic move aims to safeguard the supply of renewable energy, uphold economic and political policy credibility, maintain a first-mover advantage, and establish control over the intellectual property rights associated with renewable energy technology.

Suggested Citation

  • Yuen, Tin Hei Alpha & Yuen, Wai Kee Thomas, 2024. "Public investment on renewable energy R&D Projects: The role of geopolitical risk, and economic and political uncertainties," Energy Economics, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:eneeco:v:138:y:2024:i:c:s0140988324005450
    DOI: 10.1016/j.eneco.2024.107837
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    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. 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.
    3. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    4. Wei-Fong Pan, 2019. "Geopolitical Risk and R&D investment," Economics Discussion Papers em-dp2019-11, Department of Economics, University of Reading.
    5. 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.
    6. 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.
    7. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    8. Pesaran, M. Hashem & Smith, Ron P., 2014. "Signs of impact effects in time series regression models," Economics Letters, Elsevier, vol. 122(2), pages 150-153.
    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. Jan Polcyn & Liton Chandra Voumik & Mohammad Ridwan & Samrat Ray & Viktoriia Vovk, 2023. "Evaluating the Influences of Health Expenditure, Energy Consumption, and Environmental Pollution on Life Expectancy in Asia," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    11. 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.
    12. Qian Zhao & Chi-Wei Su & Jun-Mo Guo, 2024. "Does Technological Innovation Promote Renewable Energy Investment?," SAGE Open, , vol. 14(1), pages 21582440241, February.
    13. 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.
    14. Maximilian Gasser & Simon Pezzutto & Wolfram Sparber & Eric Wilczynski, 2022. "Public Research and Development Funding for Renewable Energy Technologies in Europe: A Cross-Country Analysis," Sustainability, MDPI, vol. 14(9), pages 1-28, May.
    15. Aaron Mehrotra & Timo Välilä, 2006. "Public Investment in Europe: Evolution and Determinants in perspective," Fiscal Studies, Institute for Fiscal Studies, vol. 27(4), pages 443-471, December.
    16. Floros Flouros & Victoria Pistikou & Vasilios Plakandaras, 2022. "Geopolitical Risk as a Determinant of Renewable Energy Investments," Energies, MDPI, vol. 15(4), pages 1-21, February.
    17. Pesaran, M. H. & Shin, Y. & Smith, R. P., 1997. "Pooled Estimation of Long-run Relationships in Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9721, Faculty of Economics, University of Cambridge.
    18. Bekim Marmullaku & Kestrim Avdimetaj & Artan Haziri, 2021. "Impact of Public Investment Through Public Debt on Economic Growth: Empirical Analysis in European Countries in Transition," Journal Transition Studies Review, Transition Academia Press, vol. 28(2), pages 93-104.
    19. Friedrich Heinemann, 2006. "Factor mobility, government debt and the decline in public investment," International Economics and Economic Policy, Springer, vol. 3(1), pages 11-26, April.
    20. Francisco Barros Castro & Alessandra Cepparulo & Lea Degorre & Luis Garcia Lombardero & Michael Grams & Lucia Granelli & Laszlo Jankovics & Robert Kraemer & Christoph Maier & Maria Maierean & Philipp , 2018. "Government investment in the EU: the role of institutional factors," Report on Public Finances in EMU, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, pages 132-132, January.
    21. Jef Vuchelen & Stijn Caekelbergh, 2010. "Explaining public investment in Western Europe," Applied Economics, Taylor & Francis Journals, vol. 42(14), pages 1783-1796.
    22. Dan Zhang & Yunpeng Wang & Xinyu Peng, 2023. "Carbon Emissions and Clean Energy Investment: Global Evidence," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(2), pages 312-323, January.
    23. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    24. Ulaş Ünlü & Furkan Yıldırım & Ayhan Kuloğlu & Ersan Ersoy & Emin Hüseyin Çetenak, 2022. "Nexus between Renewable Energy, Credit Gap Risk, Financial Development and R&D Expenditure: Panel ARDL Approach," Sustainability, MDPI, vol. 14(23), pages 1-19, December.
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