Macroeconomic impacts of energy productivity: a general equilibrium perspective
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This study aims to enhance our understanding on the macroeconomic effects of autonomous energy efficiency improvement. We adopt a global computable general equilibrium model assuming future energy efficiency improvement until 2040 follows historical trends at a regional level including the USA, European Union, Japan, Russia, China, India, and Brazil over the period of 1995–2009. Results show that the global GDP would increase by 1.3% from 2015 to 2040, without making any regions worse off, if energy efficiency in all economic activities other than energy production gradually reaches 10% higher in 2040 than a baseline scenario. However, economy-wide rebound effects on energy use accumulate over time and vary from 55 to 78% across regions in 2040. The additional energy efficiency improvement by the same percentage for fossil and non-fossil energy pushes a stronger downward pressure on fossil fuel prices than on renewable prices, thus discouraging the share of renewables in the energy mix. We conclude that energy efficiency policy needs to be aligned with renewable and climate targets to control its rebound effect on energy use and related emissions.
KeywordsEnergy efficiency Macroeconomic impacts Economic growth Rebound effect Climate mitigation
We are grateful for constructive comments from four anonymous reviewers. This study was supported by the Research Council of Norway (grant 209701 and 250201) and the Key Project of the National Social Science Foundation (No. 15AJY004). Any errors that remain are the responsibility of the authors.
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Conflict of interest
The authors declare that they have no conflict of interest.
- Aaheim, A., Orlov, A., Wei, T., & Glomsrød, S. (2018). GRACE model and applications. Report (Vol. 2018:01). Oslo, Norway: CICERO.Google Scholar
- Aaheim, A., & Rive, N. (2005). A model for global responses to anthropogenic changes in the environment (GRACE). Report (Vol. 2005:05). Oslo, Norway: CICERO.Google Scholar
- ACEEE. How does energy efficiency create jobs. In American Council for an Energy Efficient Economy Fact Sheet, 2011: Washington DCGoogle Scholar
- Australia, C. (2016). Could boosting energy productivity improve your investment performance? A guide for investors. https://www.environmental-finance.com/assets/files/research/17-05-2016-climateworks.pdf. Accessed 23 Jan. 2018.
- Badri, N., Aguiar, A., & McDougall, R. (Eds.). (2015). Global trade, assistance, and production: the GTAP 9 data base: Center for Global Trade Analysis, Purdue University, http://www.gtap.agecon.purdue.edu/databases/v9/v9_doco.asp.
- Cambridge Econometrics. (2014). E3ME technical manual, Version 6.0. Cambridge, UK: Cambridge Econometrics.Google Scholar
- Château, J., B. Magné, & Cozzi, L. (2014). Economic implications of the IEA efficient world scenario. /content/workingpaper/5jz2qcn29lbw-en https://doi.org/10.1787/5jz2qcn29lbw-en.
- IEA. (2014). Capturing the multiple benefits of energy efficiency. Paris: International Energy Agency.Google Scholar
- IEA (2015). World energy outlook 2015. International Energy Agency.Google Scholar
- Kober, T. (2014). Impact of energy efficiency measures on greenhouse gas emission reduction, ECN (ECN-E–14-038). https://www.ecn.nl/publications/E/2014/ECN-E%2D%2D14-038. Accessed 14 Feb 2018.
- Kriegler, E., Weyant, J. P., Blanford, G. J., Krey, V., Clarke, L., Edmonds, J., Fawcett, A., Luderer, G., Riahi, K., Richels, R., Rose, S. K., Tavoni, M., & van Vuuren, D. P. (2014). The role of technology for achieving climate policy objectives: overview of the EMF 27 study on global technology and climate policy strategies. Climatic Change, 123(3), 353–367. https://doi.org/10.1007/s10584-013-0953-7.CrossRefGoogle Scholar
- Nordhaus, W. D. (2008). A question of balance: weighing the options on global warming policies: Yale University Press.Google Scholar
- OECD/IEA (2012). World energy outlook. World Energy Outlook. Paris: International Energy Agency.Google Scholar
- OECD/NEA (2010). Projected costs of generating electricity 2010: OECD/Nuclear Energy Agency, OECD Publishing.Google Scholar
- Oseni, M. O. (2011). Analysis of energy intensity and its determinants in 16 OECD countries. Journal of Energy and Development, 35(1–2), 101–140.Google Scholar
- Paltsev, S., Reilly, J. M., Jacoby, H. D., Eckaus, R. S., McFarland, J., Sarofim, M., et al. (2005). The MIT emissions prediction and policy analysis (EPPA) model: Version 4. http://globalchange.mit.edu/files/document/MITJPSPGC_Rpt125.pdf. Accessed 8 Dec. 2010.
- Sharma, D., S. Sandhu and S. Misra (2014). Energy efficiency improvement in Asia: macroeconomic impacts, Asian Development Bank.Google Scholar
- Timmer, M. (2012). The world input-output database (WIOD): contents, sources and methods. http://www.wiod.org/publications/source_docs/WIOD_sources.pdf. Accessed August 2013.
- Toman, M. A., & Jemelkova, B. (2003). Energy and economic development: an assessment of the state of knowledge. The Energy Journal, 4, 93–112.Google Scholar
- UNPD (2015). World population prospects: the 2015 revision. http://esa.un.org/unpd/wpp/index.htm. Accessed 29 Jan. 2016.
- WB, & IEA (2017). Global tracking framework 2017: progress toward sustainable energy. International Bank for Reconstruction and Development/The World Bank and the International Energy Agency.Google Scholar