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Social rate of return to R&D on various energy technologies: Where should we invest more? A study of G7 countries

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  • Inglesi-Lotz, Roula

Abstract

The importance of investment in Research and Development (R&D) in the energy sector is indisputable especially considering the benefits of new technologies to sustainability, security and environmental protection. However, the nature and potential of various energy technologies that are capable of improving the energy and environmental conditions globally is a challenging task for governments and policy makers that have to make decisions on the allocation of funds in R&D. To do so, the optimal resource allocation to R&D should be determined by estimating the social rate of return for R&D investments. This paper aims to estimate the social rate of return of R&D on various energy applications and technologies such as energy efficiency, fossil fuels, renewable energy sources, and nuclear for the G7 countries. The results show that primarily R&D investment on Energy Efficiency technologies and Nuclear are the ones that yield high social benefits for all G7 countries while exactly the opposite holds for Fossil fuels.

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  • Inglesi-Lotz, Roula, 2017. "Social rate of return to R&D on various energy technologies: Where should we invest more? A study of G7 countries," Energy Policy, Elsevier, vol. 101(C), pages 521-525.
  • Handle: RePEc:eee:enepol:v:101:y:2017:i:c:p:521-525
    DOI: 10.1016/j.enpol.2016.10.043
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    1. Wong, Siang Leng & Chang, Youngho & Chia, Wai-Mun, 2013. "Energy consumption, energy R&D and real GDP in OECD countries with and without oil reserves," Energy Economics, Elsevier, vol. 40(C), pages 51-60.
    2. Bointner, Raphael, 2014. "Innovation in the energy sector: Lessons learnt from R&D expenditures and patents in selected IEA countries," Energy Policy, Elsevier, vol. 73(C), pages 733-747.
    3. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    4. Charles I. Jones & John C. Williams, 1998. "Measuring the Social Return to R&D," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1119-1135.
    5. Garrone, Paola & Grilli, Luca, 2010. "Is there a relationship between public expenditures in energy R&D and carbon emissions per GDP? An empirical investigation," Energy Policy, Elsevier, vol. 38(10), pages 5600-5613, October.
    6. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    7. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198, October.
    8. Sterlacchini, Alessandro, 2012. "Energy R&D in private and state-owned utilities: An analysis of the major world electric companies," Energy Policy, Elsevier, vol. 41(C), pages 494-506.
    9. Corderi, David & Cynthia Lin, C.-Y., 2011. "Measuring the social rate of return to R&D in coal, petroleum and nuclear manufacturing: A study of the OECD countries," Energy Policy, Elsevier, vol. 39(5), pages 2780-2785, May.
    10. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935, October.
    11. Yuen Ping Ho & Poh Kam Wong & Mun Heng Toh, 2009. "The Impact Of R&D On The Singapore Economy: An Empirical Evaluation," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(01), pages 1-20.
    12. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67(3), pages 297-297.
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    4. Borozan, Dj, 2022. "Asymmetric effects of policy uncertainty on renewable energy consumption in G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 412-420.
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    7. Kahouli, Bassem, 2018. "The causality link between energy electricity consumption, CO2 emissions, R&D stocks and economic growth in Mediterranean countries (MCs)," Energy, Elsevier, vol. 145(C), pages 388-399.
    8. Xu, Bin & Lin, Boqiang, 2018. "Do we really understand the development of China's new energy industry?," Energy Economics, Elsevier, vol. 74(C), pages 733-745.
    9. Ndlovu, Vanessa & Inglesi-Lotz, Roula, 2020. "The causal relationship between energy and economic growth through research and development (R&D): The case of BRICS and lessons for South Africa," Energy, Elsevier, vol. 199(C).
    10. Hailemariam, Abebe & Ivanovski, Kris & Dzhumashev, Ratbek, 2022. "Does R&D investment in renewable energy technologies reduce greenhouse gas emissions?," Applied Energy, Elsevier, vol. 327(C).
    11. Alvarelhão, Ana & Resende, Joana & Carneiro, Anabela, 2024. "Employment and wage dynamics in the electricity sector: Evidence from Portugal 2002–2020," Energy Economics, Elsevier, vol. 130(C).
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    13. Yan Zhao & Hui Sun & Xuechao Xia & Dianyuan Ma, 2023. "Can R&D Intensity Reduce Carbon Emissions Intensity? Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
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    15. Cheng, Yuanyuan & Yao, Xin, 2021. "Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

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    Keywords

    R&D; Energy; Energy fuels; Return; G7;
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