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Dynamic Electricity Intensity Trends in 91 Countries

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  • Hann-Earl Kim

    (Department of Global Business, Gachon University, 1342 Seongnam-daero, Sujung-gu, Gyeonggi-do 13120, Korea)

  • Yu-Sang Chang

    (Gachon Center for Convergence Research, Gachon University, 1342 Seongnam-daero, Sujung-gu, Gyeonggi-do 13120, Korea)

  • Hee-Jin Kim

    (Department of Global Business, Gachon University, 1342 Seongnam-daero, Sujung-gu, Gyeonggi-do 13120, Korea)

Abstract

Despite numerous studies on energy productivity and efficiency, only a few focus on the electricity intensity (EI) of economic output. As these studies largely examine the declining trend in EI, the increasing and/or fluctuating trends in EI have not been studied. We analyze EI trends by estimating the progress ratios from experience curves of 91 countries from 1991 to 2011. The results reveal wide variation in progress ratios, ranging from 53% to 135%, with an average of 101.5%. Furthermore, more than half of the 91 countries displayed a kinked slope, indicating the fluctuating rate of change in EI. The rate of population growth seems to be related to the increasing EI trends. A clear understanding of the relative performance of each country in terms of the progress ratio and the pattern of EI trends would be useful for the country’s policymakers to develop strategic options for the future.

Suggested Citation

  • Hann-Earl Kim & Yu-Sang Chang & Hee-Jin Kim, 2021. "Dynamic Electricity Intensity Trends in 91 Countries," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4588-:d:539840
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    References listed on IDEAS

    as
    1. Kim, Dong Wook & Chang, Hyun Joon, 2012. "Experience curve analysis on South Korean nuclear technology and comparative analysis with South Korean renewable technologies," Energy Policy, Elsevier, vol. 40(C), pages 361-373.
    2. Witajewski-Baltvilks, Jan & Verdolini, Elena & Tavoni, Massimo, 2015. "Bending the learning curve," Energy Economics, Elsevier, vol. 52(S1), pages 86-99.
    3. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
    4. Inglesi-Lotz, R. & Blignaut, J.N., 2012. "Electricity intensities of the OECD and South Africa: A comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4491-4499.
    5. Apergis, Nicholas & Payne, James E., 2010. "The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states," Energy Policy, Elsevier, vol. 38(1), pages 650-655, January.
    6. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    7. Wei, Max & Smith, Sarah J. & Sohn, Michael D., 2017. "Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US," Applied Energy, Elsevier, vol. 191(C), pages 346-357.
    8. Yu Sang Chang & Byong-Jin You & Hann Earl Kim, 2020. "Dynamic Trends of Fine Particulate Matter Exposure across 190 Countries: Analysis and Key Insights," Sustainability, MDPI, vol. 12(7), pages 1-34, April.
    9. Ang, James B., 2007. "CO2 emissions, energy consumption, and output in France," Energy Policy, Elsevier, vol. 35(10), pages 4772-4778, October.
    10. Lean, Hooi Hooi & Smyth, Russell, 2010. "CO2 emissions, electricity consumption and output in ASEAN," Applied Energy, Elsevier, vol. 87(6), pages 1858-1864, June.
    11. Grubler, Arnulf, 2010. "The costs of the French nuclear scale-up: A case of negative learning by doing," Energy Policy, Elsevier, vol. 38(9), pages 5174-5188, September.
    12. Kim, Young Se, 2015. "Electricity consumption and economic development: Are countries converging to a common trend?," Energy Economics, Elsevier, vol. 49(C), pages 192-202.
    13. Vaona, Andrea, 2013. "The sclerosis of regional electricity intensities in Italy: An aggregate and sectoral analysis," Applied Energy, Elsevier, vol. 104(C), pages 880-889.
    14. Lars Wenzel & Andr Wolf, 2014. "Changing Patterns of Electricity Usage in European Manufacturing: A Decomposition Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 516-530.
    15. Rout, Ullash K. & Blesl, Markus & Fahl, Ulrich & Remme, Uwe & Voß, Alfred, 2009. "Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model," Energy Policy, Elsevier, vol. 37(11), pages 4927-4942, November.
    16. Kwon, Sanguk & Cho, Seong-Hoon & Roberts, Roland K. & Kim, Hyun Jae & Park, KiHyun & Edward Yu, Tun-Hsiang, 2016. "Short-run and the long-run effects of electricity price on electricity intensity across regions," Applied Energy, Elsevier, vol. 172(C), pages 372-382.
    17. Marvin J. Horowitz, 2004. "Electricity Intensity in the Commercial Sector: Market and Public Program Effects," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 115-138.
    18. Apergis, Nicholas & Payne, James E., 2009. "CO2 emissions, energy usage, and output in Central America," Energy Policy, Elsevier, vol. 37(8), pages 3282-3286, August.
    19. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    20. Liddle, Brantley, 2009. "Electricity intensity convergence in IEA/OECD countries: Aggregate and sectoral analysis," Energy Policy, Elsevier, vol. 37(4), pages 1470-1478, April.
    21. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    22. Trappey, Amy J.C. & Trappey, Charles V. & Liu, Penny H.Y. & Lin, Lee-Cheng & Ou, Jerry J.R., 2013. "A hierarchical cost learning model for developing wind energy infrastructures," International Journal of Production Economics, Elsevier, vol. 146(2), pages 386-391.
    23. Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
    24. Béla Nagy & J Doyne Farmer & Quan M Bui & Jessika E Trancik, 2013. "Statistical Basis for Predicting Technological Progress," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    25. Herrerias, M.J., 2013. "Seasonal anomalies in electricity intensity across Chinese regions," Applied Energy, Elsevier, vol. 112(C), pages 1548-1557.
    26. Herrerias, M.J. & Liu, G., 2013. "Electricity intensity across Chinese provinces: New evidence on convergence and threshold effects," Energy Economics, Elsevier, vol. 36(C), pages 268-276.
    27. Sagar, Ambuj D. & van der Zwaan, Bob, 2006. "Technological innovation in the energy sector: R&D, deployment, and learning-by-doing," Energy Policy, Elsevier, vol. 34(17), pages 2601-2608, November.
    28. Wei, Max & Smith, Sarah Josephine & Sohn, Michael D., 2017. "Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs," Energy Policy, Elsevier, vol. 107(C), pages 356-369.
    29. Verbruggen, Aviel, 2006. "Electricity intensity backstop level to meet sustainable backstop supply technologies," Energy Policy, Elsevier, vol. 34(11), pages 1310-1317, July.
    30. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
    31. Chang, Yusang & Lee, Jinsoo & Yoon, Hyerim, 2012. "Alternative projection of the world energy consumption-in comparison with the 2010 international energy outlook," Energy Policy, Elsevier, vol. 50(C), pages 154-160.
    32. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    33. Hien, P.D., 2019. "Excessive electricity intensity of Vietnam: Evidence from a comparative study of Asia-Pacific countries," Energy Policy, Elsevier, vol. 130(C), pages 409-417.
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