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16-07-2019 | Original Article

Macroeconomic impacts of energy productivity: a general equilibrium perspective

Authors: Yang Liu, Taoyuan Wei, Donghyun Park

Published in: Energy Efficiency | Issue 7/2019

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Abstract

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.

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The estimates are based on the productive sectors that contribute to the value added of a given economy and excluding the residential sector.

Short for “Sustainable Energy for All.” Former UN Secretary-General Ban Ki-moon launched SE4ALL in September 2011 as a global initiative to support SDG7.

This appendix can be found from Appendix A of Wei and Liu (2017).

Aaheim, A., Amundsen, H., Dokken, T., & Wei, T. (2012). Impacts and adaptation to climate change in European economies. Global Environmental Change-Human and Policy Dimensions, 22(4), 959–968. https://doi.org/10.1016/j.gloenvcha.2012.06.005.CrossRef

Aaheim, A., Orlov, A., Wei, T., & Glomsrød, S. (2018). GRACE model and applications. Report (Vol. 2018:01). Oslo, Norway: CICERO.

Aaheim, A., & Rive, N. (2005). A model for global responses to anthropogenic changes in the environment (GRACE). Report (Vol. 2005:05). Oslo, Norway: CICERO.

ACEEE. How does energy efficiency create jobs. In American Council for an Energy Efficient Economy Fact Sheet, 2011: Washington DC

Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95(9), 1082–1095.CrossRef

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.

Barker, T., Dagoumas, A., & Rubin, J. (2009). The macroeconomic rebound effect and the world economy. Energy Efficiency, 2(4), 411–427. https://doi.org/10.1007/s12053-009-9053-y.CrossRef

Barker, T., Ekins, P., & Foxon, T. (2007). The macro-economic rebound effect and the UK economy. Energy Policy, 35(10), 4935–4946.CrossRef

Benabou, R., & Tirole, J. (2003). Intrinsic and extrinsic motivation. The Review of Economic Studies, 70(3), 489–520.MathSciNetCrossRef

Cambridge Econometrics. (2014). E3ME technical manual, Version 6.0. Cambridge, UK: Cambridge Econometrics.

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.

Duan, H., Zhang, G., Fan, Y., & Wang, S. (2017). Role of endogenous energy efficiency improvement in global climate change mitigation. Energy Efficiency, 10(2), 459–473.CrossRef

Glomsrød, S., Wei, T., Aamaas, B., Lund, M. T., & Samset, B. H. (2016). A warmer policy for a colder climate: can China both reduce poverty and cap carbon emissions? Science of the Total Environment, 568, 236–244. https://doi.org/10.1016/j.scitotenv.2016.06.005.CrossRef

Glomsrød, S., Wei, T., & Alfsen, K. (2013). Pledges for climate mitigation: the effects of the Copenhagen accord on CO₂ emissions and mitigation costs. Mitigation and Adaptation Strategies for Global Change, 18(5), 619–636. https://doi.org/10.1007/s11027-012-9378-2.CrossRef

Gollin, D. (2002). Getting income shares right. Journal of Political Economy, 110(2), 458–474.CrossRef

IEA. (2014). Capturing the multiple benefits of energy efficiency. Paris: International Energy Agency.

IEA (2015). World energy outlook 2015. International Energy Agency.

Jessoe, K., Rapson, D., & Smith, J. B. (2014). Towards understanding the role of price in residential electricity choices: evidence from a natural experiment. Journal of Economic Behavior & Organization, 107, 191–208.CrossRef

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.

Kotchen, M. J., & Moore, M. R. (2007). Private provision of environmental public goods: household participation in green-electricity programs. Journal of Environmental Economics and Management, 53(1), 1–16.CrossRef

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.CrossRef

Liu, Y., & Wei, T. (2016). Linking the emissions trading schemes of Europe and China - combining climate and energy policy instruments. Mitigation and Adaptation Strategies for Global Change, 21(2), 135–151. https://doi.org/10.1007/s11027-014-9580-5.MathSciNetCrossRef

Nordhaus, W. D. (2008). A question of balance: weighing the options on global warming policies: Yale University Press.

OECD/IEA (2012). World energy outlook. World Energy Outlook. Paris: International Energy Agency.

OECD/NEA (2010). Projected costs of generating electricity 2010: OECD/Nuclear Energy Agency, OECD Publishing.

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.

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.

Saunders, H. D. (2015). Recent evidence for large rebound: elucidating the drivers and their implications for climate change models. The Energy Journal, 36(1), 23–48.CrossRef

Sharma, D., S. Sandhu and S. Misra (2014). Energy efficiency improvement in Asia: macroeconomic impacts, Asian Development Bank.

Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99–118.CrossRef

Sugiyama, M., Akashi, O., Wada, K., Kanudia, A., Li, J., & Weyant, J. (2014). Energy efficiency potentials for global climate change mitigation. Climatic Change, 123(3–4), 397–411.CrossRef

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.

Turner, K. (2009). Negative rebound and disinvestment effects in response to an improvement in energy efficiency in the UK economy. Energy Economics, 31(5), 648–666. https://doi.org/10.1016/j.eneco.2009.01.008.CrossRef

Underdal, A., & Wei, T. (2015). Distributive fairness: a mutual recognition approach. Environmental Science & Policy, 51, 35–44. https://doi.org/10.1016/j.envsci.2015.03.009.CrossRef

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.

Webster, M., Paltsev, S., & Reilly, J. (2008). Autonomous efficiency improvement or income elasticity of energy demand: does it matter? Energy Economics, 30(6), 2785–2798. https://doi.org/10.1016/j.eneco.2008.04.004.CrossRef

Wei, T., & Liu, Y. (2017). Estimation of global rebound effect caused by energy efficiency improvement. Energy Economics, 66, 27–34. https://doi.org/10.1016/j.eneco.2017.05.030.CrossRef

Wei, T., & Liu, Y. (2019). Estimation of resource-specific technological change. Technological Forecasting and Social Change, 138, 29–33. https://doi.org/10.1016/j.techfore.2018.08.006.CrossRef

Title: Macroeconomic impacts of energy productivity: a general equilibrium perspective
Authors: Yang Liu
Taoyuan Wei
Donghyun Park
Publication date: 16-07-2019
Publisher: Springer Netherlands
Published in: Energy Efficiency / Issue 7/2019
Print ISSN: 1570-646X
Electronic ISSN: 1570-6478
DOI: https://doi.org/10.1007/s12053-019-09810-1

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