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The physical limits to economic growth by R&D funded innovation

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  • Beaudreau, Bernard C.
  • Lightfoot, H. Douglas

Abstract

For over three decades, worldwide R&D expenditure has risen steadily, reaching $1.3 trillion in 2011. Underlying this unprecedented growth is a deeply-held belief that R&D is a prime mover of economic growth. Ironically, despite three decades of massive R&D expenditure, growth levels have remained substantially lower than that of the immediate post World War II period. This raises important theoretical questions regarding R&D and its impact on growth per se. For example, R&D-growth has been modeled and continues to be modeled as an unbounded set. This has not been inconsequential because it has introduced an upward bias in growth projections as evidenced in the literature. More importantly, are there physically-determined upper limits to R&D-based growth and, if so, what are they? This paper uses the physical sciences to map the physical limits to R&D-based innovation. A consilient model of economic growth is presented and upper bounds for energy efficiency-based growth rates are provided, both for individual energy sectors and globally. We find that with economic growth by innovation limited by physical conditions, increasing the rate of economic growth can only come through increasing the rate of energy consumption.

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  • Beaudreau, Bernard C. & Lightfoot, H. Douglas, 2015. "The physical limits to economic growth by R&D funded innovation," Energy, Elsevier, vol. 84(C), pages 45-52.
    • Handle: RePEc:eee:energy:v:84:y:2015:i:c:p:45-52
    DOI: 10.1016/j.energy.2015.01.118
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    1. Choi, Jun-Ki & Morrison, Drew & Hallinan, Kevin P. & Brecha, Robert J., 2014. "Economic and environmental impacts of community-based residential building energy efficiency investment," Energy, Elsevier, vol. 78(C), pages 877-886.
    2. Lightfoot, H. Douglas, 2007. "Understand the three different scales for measuring primary energy and avoid errors," Energy, Elsevier, vol. 32(8), pages 1478-1483.
    3. Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan, vol. 53(2), pages 1-3.
    4. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    5. Johansson, Bengt, 2013. "A broadened typology on energy and security," Energy, Elsevier, vol. 53(C), pages 199-205.
    6. Burman, Esfand & Mumovic, Dejan & Kimpian, Judit, 2014. "Towards measurement and verification of energy performance under the framework of the European directive for energy performance of buildings," Energy, Elsevier, vol. 77(C), pages 153-163.
    7. Guerrini, Luca, 2006. "The Solow-Swan model with a bounded population growth rate," Journal of Mathematical Economics, Elsevier, vol. 42(1), pages 14-21, February.
    8. Ladu, Maria Gabriela & Meleddu, Marta, 2014. "Is there any relationship between energy and TFP (total factor productivity)? A panel cointegration approach for Italian regions," Energy, Elsevier, vol. 75(C), pages 560-567.
    9. Xie, Bai-Chen & Shang, Li-Feng & Yang, Si-Bo & Yi, Bo-Wen, 2014. "Dynamic environmental efficiency evaluation of electric power industries: Evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countrie," Energy, Elsevier, vol. 74(C), pages 147-157.
    10. Ricardo J. Caballero & Adam B. Jaffe, 1993. "How High Are the Giants' Shoulders: An Empirical Assessment of Knowledge Spillovers and Creative Destruction in a Model of Economic Growth," NBER Chapters, in: NBER Macroeconomics Annual 1993, Volume 8, pages 15-86, National Bureau of Economic Research, Inc.
    11. Michael E. Porter & Scott Stern, 2000. "Measuring the "Ideas" Production Function: Evidence from International Patent Output," NBER Working Papers 7891, National Bureau of Economic Research, Inc.
    12. Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.
    13. Zvi Griliches, 1996. "The Discovery of the Residual: A Historical Note," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1324-1330, September.
    14. Armstrong, P. & Ager, D. & Thompson, I. & McCulloch, M., 2014. "Improving the energy storage capability of hot water tanks through wall material specification," Energy, Elsevier, vol. 78(C), pages 128-140.
    15. Letschert, Virginie & Desroches, Louis-Benoit & Ke, Jing & McNeil, Michael, 2013. "Energy efficiency – How far can we raise the bar? Revealing the potential of best available technologies," Energy, Elsevier, vol. 59(C), pages 72-82.
    16. Ayres, Robert U. & Turton, Hal & Casten, Tom, 2007. "Energy efficiency, sustainability and economic growth," Energy, Elsevier, vol. 32(5), pages 634-648.
    17. Krusell, Per, 1998. "Investment-Specific R&D and the Decline in the Relative Price of Capital," Journal of Economic Growth, Springer, vol. 3(2), pages 131-141, June.
    18. Maddison, Angus, 1987. "Growth and Slowdown in Advanced Capitalist Economies: Techniques of Quantitative Assessment," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 649-698, June.
    19. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    20. Wada, Kenichi & Akimoto, Keigo & Sano, Fuminori & Oda, Junichiro & Homma, Takashi, 2012. "Energy efficiency opportunities in the residential sector and their feasibility," Energy, Elsevier, vol. 48(1), pages 5-10.
    21. Giacone, E. & Mancò, S., 2012. "Energy efficiency measurement in industrial processes," Energy, Elsevier, vol. 38(1), pages 331-345.
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    Keywords

    R&D; Energy; Efficiency; Growth; Slowdown;
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