Investment, technological progress and energy efficiency

Antonia Díaz 1  and Luis A. Puch 2
  • 1 Universidad Carlos III de Madrid, Department of Economics, Madrid, 28903, Spain
  • 2 Universidad Complutense de Madrid, Department of Economic Analysis and ICAE, Madrid, Comunidad de Madrid, Spain
Antonia Díaz and Luis A. Puch
  • Universidad Complutense de Madrid, Department of Economic Analysis and ICAE, Madrid, Comunidad de Madrid, Spain
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Abstract

In this paper we propose a theory to study how the aggregate demand of energy responds to energy prices and technical innovations that affect the price of energy services. In our theory, energy use is determined by the interaction of the choice of Energy Saving Technical Change with energy prices and Investment Specific Technical Change (ISTC). The key mechanism is that the energy saving technology is embodied in capital vintages as a requirement that determines their energy intensity. We show that higher ISTC that increases the quality of capital goods is an energy saving device and, therefore, a substitute for Energy Saving Technical Change (ESTC). However, higher ISTC that rises the efficiency in producing capital goods is energy consuming and fosters ESTC to compensate for the amount of energy required by the new investment. A higher price of energy also induces a higher level of ESTC, but the aggregate amount of energy used may not be affected as investment does not change. These effects are amplified with rising prices of energy. Thus, our theory can be used to test when and how we should see a rebound effect in energy use at the aggregate level and to evaluate the aggregate effect of any policy aiming to reduce energy use.

  • Acemoglu, D. 2002. “Directed Technical Change.” Review of Economic Studies 9(4): 781–809.

  • Acemoglu, D., P. Aghion, L. Bursztyn, and D. Hemous. 2012. “The Environment and Directed Technical Change.” American Economic Review 102 (1): 131–66.

    • Crossref
    • Export Citation
  • Alquist, R., L. Kilian, R. J. Vigfusson, 2013. “Forecasting the Price of Oil.” Handbook of Economic Forecasting 2: 427–507.

    • Crossref
    • Export Citation
  • Atkeson, A., and P. J. Kehoe. 1999. “Models of Energy Use: Putty-Putty Versus Putty-Clay.” American Economic Review 89 (4): 1028–1043.

    • Crossref
    • Export Citation
  • Boyd, G., and J. M. Lee. 2016. “Measuring Plant Level Energy Efficiency and Technical Change in the U.S. Metal-Based Durable Manufacturing Sector Using Stochastic Frontier Analysis.” CES Working Papers 16–52, Center for Economic Studies.

  • Cooley, T. F., and E. C. Prescott. 1995. “Economic Growth and Business Cycles, Chapter 1.” In Frontiers of Business Cycle Research, chapter 1, edited by T. F. Cooley, 1–38. Princeton: Princeton University Press.

  • Cummins, J. G., and G. L. Violante. 2002. “Investment-Specific Technical Change in the US (1947–2000): Measurement and macroeconomic consequences.” Review of Economic Dynamics 5 (2): 243–284.

    • Crossref
    • Export Citation
  • Díaz, A., and L. A. Puch. 2013. “A Theory of Vintage Capital Investment and Energy Use.” Economics Working Papers 1320, Universidad Carlos III de Madrid.

  • Díaz, A., L. A. Puch, and M. D. Guilló. 2004. “Costly Capital Reallocation and Energy Use.” Review of Economic Dynamics 7 (2): 494–518.

    • Crossref
    • Export Citation
  • Ferraro, D., and P. F. Peretto. 2018. “Commodity Prices and Growth.” Economic Journal 128 (616): 3242–3265.

    • Crossref
    • Export Citation
  • Fiori, G., and N. Traum. 2016. Green Policies, Aggregate Investment Dynamics and Vintage Effects. Mimeo, North Carolina State University.

  • Frondel, M., N. Ritter, and C. Vance. 2012. “Heterogeneity in the Rebound Effect: Further Evidence for Germany.” Energy Economics 34: 461–467.

    • Crossref
    • Export Citation
  • Gilchrist, S., and J. C. Williams. 2000. “Putty-Clay and Investment: A Business Cycle Analysis.” Journal of Political Economy 108 (5): 928–960.

    • Crossref
    • Export Citation
  • Gillingham, K., M. J. Kotchen, D. S. Rapson, and G. Wagner. 2013. “Energy policy: The rebound effect is overplayed.” Nature 493 (7433): 475–476.

    • Crossref
    • PubMed
    • Export Citation
  • Gillingham, K., D. Rapson, and G. Wagner. 2016. “The Rebound Effect and Energy Efficiency Policy.” Review of Environmental Economics and Policy 10 (1): 68–88.

    • Crossref
    • Export Citation
  • Gordon, R. J. 1990. The Measurement of Durable Goods Prices. National Bureau of Economic Research Monograph Series, Chicago: University of Chicago Press.

  • Gordon, R. J. 1996. “Can Technology Improvements Cause Productivity Slowdowns?: Comment.” NBER Macroeconomics Annual 11: 259–267.

    • Crossref
    • Export Citation
  • Greenwood, J., Z. Hercowitz, and P. Krusell. 1997. “Long-run Implications of Investment-Specific Technological Change.” American Economic Review 87 (3): 342–362.

  • Hassler, J., P. Krusell, and C. Olovsson. 2016. Directed Technical Change as a Response to Natural-Resource Scarcity.” Mimeo.

  • Jevons, W. 1865. The Coal Question. London: MacMillan and Co.

  • Juillard, M. 1996. “ Dynare : A Program for the Resolution and Simulation of Dynamic Models with Forward Variables Through the Use of a Relaxation Algorithm.” Working Paper 9602, CEPREMAP.

  • Knittel, C. R. 2011. “Automobiles on Steroids: Product Attribute Trade-Offs and Technological Progress in the Automobile Sector.” American Economic Review 101 (7): 3368–3399.

    • Crossref
    • Export Citation
  • Krautkraemer, J. A. 1998. “Nonrenewable Resource Scarcity.” Journal of Economic Literature 36 (4): 2065–2107.

  • Linn, J. 2008. “Energy Prices and the Adoption of Energy-Saving Technology.” Economic Journal 118: 1986–2012.

    • Crossref
    • Export Citation
  • Metcalf, G. E. 2008. “An Empirical Analysis of Energy Intensity and its Determinants at the State Level.” The Energy Journal 29 (3): 1–26.

  • Newell, R. G., A. B. Jaffe, and R. N. Stavins. 1999. The Induced Innovation Hypothesis and Energy-Saving Technological Change.” The Quarterly Journal of Economics 114 (3): 941–975.

    • Crossref
    • Export Citation
  • Pindyck, R. S., and J. J. Rotemberg. 1983. “Dynamic Factor Demands and the Effects of Energy Price Shocks.” American Economic Review 73 (5): 1066–1079.

  • Popp, D. 2002. “Induced Innovation and Energy Prices.” American Economic Review 92 (1): 160–180.

    • Crossref
    • Export Citation
  • Rausch, S., and H. Schwerin. 2017. Long-Run Energy Use and the Efficiency Paradox. Mimeo.

  • Rodríguez-López, J., and J. L. Torres. 2012. “Technological Sources of Productivity Growth In Germany, Japan, and the United States.” Macroeconomic Dynamics 16 (01): 133–150.

    • Crossref
    • Export Citation
  • Steinbuks, J., and K. Neuhoff. 2014. Assessing Energy Price Induced Improvements in Efficiency of Capital in Oecd Manufacturing Industries.” Journal of Environmental Economics and Management 68 (2): 340–356.

    • Crossref
    • Export Citation
  • Wei, C. 2003. “Energy, the Stock Market and the Putty-Clay Investment Model.” American Economic Review 93 (1): 311–324.

    • Crossref
    • Export Citation
  • Zaklan, A., J. Abrell, and A. Neumann. 2016. “Stationarity Changes in Long-Run Energy Commodity Prices.” Energy Economics 59 (Supplement C): 96–103.

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The B.E. Journal of Macroeconomics publishes significant research and scholarship in theoretical and applied macroeconomics. The range of topics includes business cycle research, economic growth, and monetary economics, as well as topics drawn from the substantial areas of overlap between macroeconomics and international economics, labor economics, finance, development economics, political economy, public economics, econometric theory.

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