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Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis

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  • Trotta, Gianluca

Abstract

Energy efficiency is widely considered a cost-effective strategy for reducing energy demand, energy-related carbon dioxide emissions and dependence on foreign energy sources. At the national level in EU Member States, improvements in energy efficiency are measured against model-based scenarios and ex ante engineering estimates, which might provide inaccurate indications of the actual energy savings delivered by energy efficiency.

Suggested Citation

  • Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
  • Handle: RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304372
    DOI: 10.1016/j.eneco.2019.104640
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    as
    1. Mairet, Nicolas & Decellas, Fabrice, 2009. "Determinants of energy demand in the French service sector: A decomposition analysis," Energy Policy, Elsevier, vol. 37(7), pages 2734-2744, July.
    2. Achour, Houda & Belloumi, Mounir, 2016. "Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method," Transport Policy, Elsevier, vol. 52(C), pages 64-71.
    3. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    4. Holzmann, Angela & Adensam, Heidelinde & Kratena, Kurt & Schmid, Erwin, 2013. "Decomposing final energy use for heating in the residential sector in Austria," Energy Policy, Elsevier, vol. 62(C), pages 607-616.
    5. Xu, X.Y. & Ang, B.W., 2014. "Multilevel index decomposition analysis: Approaches and application," Energy Economics, Elsevier, vol. 44(C), pages 375-382.
    6. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    7. Rezessy, Silvia & Bertoldi, Paolo, 2011. "Voluntary agreements in the field of energy efficiency and emission reduction: Review and analysis of experiences in the European Union," Energy Policy, Elsevier, vol. 39(11), pages 7121-7129.
    8. Zhang, Ming & Li, Huanan & Zhou, Min & Mu, Hailin, 2011. "Decomposition analysis of energy consumption in Chinese transportation sector," Applied Energy, Elsevier, vol. 88(6), pages 2279-2285, June.
    9. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    10. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    11. Kenneth Gillingham & Amelia Keyes & Karen Palmer, 2018. "Advances in Evaluating Energy Efficiency Policies and Programs," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 511-532, October.
    12. Horowitz, Marvin J. & Bertoldi, Paolo, 2015. "A harmonized calculation model for transforming EU bottom-up energy efficiency indicators into empirical estimates of policy impacts," Energy Economics, Elsevier, vol. 51(C), pages 135-148.
    13. Nie, Hongguang & Kemp, René, 2014. "Index decomposition analysis of residential energy consumption in China: 2002–2010," Applied Energy, Elsevier, vol. 121(C), pages 10-19.
    14. Torrie, Ralph D. & Stone, Christopher & Layzell, David B., 2016. "Understanding energy systems change in Canada: 1. Decomposition of total energy intensity," Energy Economics, Elsevier, vol. 56(C), pages 101-106.
    15. Ang, B.W. & Goh, Tian, 2018. "Bridging the gap between energy-to-GDP ratio and composite energy intensity index," Energy Policy, Elsevier, vol. 119(C), pages 105-112.
    16. Meredith Fowlie & Michael Greenstone & Catherine Wolfram, 2018. "Do Energy Efficiency Investments Deliver? Evidence from the Weatherization Assistance Program," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1597-1644.
    17. Román-Collado, Rocío & Colinet, Maria José, 2018. "Is energy efficiency a driver or an inhibitor of energy consumption changes in Spain? Two decomposition approaches," Energy Policy, Elsevier, vol. 115(C), pages 409-417.
    18. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    19. Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
    20. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    21. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27," Energy Policy, Elsevier, vol. 68(C), pages 576-584.
    22. Ang, B.W. & Wang, H., 2015. "Index decomposition analysis with multidimensional and multilevel energy data," Energy Economics, Elsevier, vol. 51(C), pages 67-76.
    23. Xu, Jin-Hua & Fleiter, Tobias & Eichhammer, Wolfgang & Fan, Ying, 2012. "Energy consumption and CO2 emissions in China's cement industry: A perspective from LMDI decomposition analysis," Energy Policy, Elsevier, vol. 50(C), pages 821-832.
    24. Suyi Kim, 2017. "LMDI Decomposition Analysis of Energy Consumption in the Korean Manufacturing Sector," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    25. Cansino, José M. & Román-Collado, Rocío & Merchán, José, 2019. "Do Spanish energy efficiency actions trigger JEVON’S paradox?," Energy, Elsevier, vol. 181(C), pages 760-770.
    26. Román-Collado, Rocío & Cansino, José M. & Botia, Camilo, 2018. "How far is Colombia from decoupling? Two-level decomposition analysis of energy consumption changes," Energy, Elsevier, vol. 148(C), pages 687-700.
    27. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    28. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    29. Rogan, Fionn & Cahill, Caiman J. & Ó Gallachóir, Brian P., 2012. "Decomposition analysis of gas consumption in the residential sector in Ireland," Energy Policy, Elsevier, vol. 42(C), pages 19-36.
    30. Sheinbaum, Claudia & Ozawa, Leticia & Castillo, Daniel, 2010. "Using logarithmic mean Divisia index to analyze changes in energy use and carbon dioxide emissions in Mexico's iron and steel industry," Energy Economics, Elsevier, vol. 32(6), pages 1337-1344, November.
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