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.
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.
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): 243–284.10.1006/redy.2002.0168)| false
Knittel, C. R. 2011. “Automobiles on Steroids: Product Attribute Trade-Offs and Technological Progress in the Automobile Sector.” American Economic Review 101 (7): 3368–3399.10.1257/aer.101.7.3368)| false
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): 941–975.10.1162/003355399556188)| false
Rodríguez-López, J., and J. L. Torres. 2012. “Technological Sources of Productivity Growth In Germany, Japan, and the United States.” Macroeconomic Dynamics 16 (01): 133–150.10.1017/S1365100510000489)| false
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.
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): 340–356.10.1016/j.jeem.2014.07.003)| false
Financial support from the Spanish Ministerio de Economía, Industria y Competitividad (grant ECO2016-76818) is gratefully acknowledged. Antonia Díaz thanks the Ministerio de Economía, Industria y Competitividad, María de Maeztu grant (MDM 2014-0431), and the Consejería de Educación, Juventud y Deportes de la Comunidad de Madrid for MadEco-CM grant (S2015/HUM-3444).
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.