publication . Article . 2017

Final energy consumption trends and drivers in Czech Republic and Latvia

Yu, Z.; Dalia Streimikiene; Balezentis, T.; Dapkus, R.; Jovovic, R.; Draskovic, V.;
  • Published: 01 Aug 2017
This paper analyses the trends of final energy consumption in Latvia and Czech Republic. Analysis of final energy consumption during 2000-2013 period indicated the main driving forces of final energy consumption during and after world financial crisis of 2008. The paper aimed to evaluate the impact of economic activity and other factors on final energy consumption. The decomposition of the final energy consumption is assessed by analyzing effect of different drivers by the main end-users sector (industry, transport, households, agriculture, services), activity, demography, lifestyles, structural effects, energy savings etc. The results show that the reduction in...
free text keywords: Q4, Q5, Q46, Q48, energy intensity, energy savings, decomposition analysis, Czech Republic, Latvia, ddc:330, Business, HF5001-6182, Economics as a science, HB71-74
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Article . 2017
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16 references, page 1 of 2

Ang, B.W., 2015. LMDI decomposition approach: A guide for implementation. Energy Policy, 86(C), pp.233-238.

Ang, B.W., 2004. Decomposition analysis for policymaking in energy: which is the preferred method? Energy Policy, 32(9), pp.1131-1139.

Ang, B.W., Liu, F.L. and Chew, E.P., 2003. Perfect decomposition techniques in energy and environmental analysis. Energy Policy, 31(14), pp.1561-1566.

Ang, B.W., Huang, H.C. and Mu, A.R., 2009. Properties and linkages of some index decomposition analysis methods. Energy Policy, 37(11), pp.4624-4632.

Albrecht, J.D., Francois, D. and Schoors, K., 2002. A Shapley decomposition of carbon emissions without residuals. Energy Policy, 30(9), pp.727-736.

Alves, M.R. and Moutinho, V., 2013. Decomposition analysis and Innovative Accounting Approach for energy-related CO2 (carbon dioxide) emissions intensity over 1996-2009 in Portugal. Energy, 57, pp.775-787.

Baležentis, A., Baležentis, T. and Streimikiene, D., 2011. The energy intensity in Lithuania during 1995-2009: a LMDI approach. Energy Policy, 39(11), pp.7322-7334. [OpenAIRE]

Brizga, J., Feng, K. and Hubacek, K., 2014. Drivers of greenhouse gas emissions in the Baltic States: A structural decomposition analysis. Ecological Economics, 98, pp.22-28.

EC, 2016. Oddysee-Mure project. [online] Available at: <> [Accessed 2 February 2016].

EC, 2015. Energy Efficiency Trends and Policies In Industry An Analysis Based on the ODYSSEE and MURE Databases. [online] Available at: <> [Accessed 2 February 2016].

Hoekstra, R., van den Bergh J., 2003. Comparing structural and index decomposition analysis. Energy Economics, 25(1), pp.39-64.

Sun, J.W., 1998. Changes in energy consumption and energy intensity: a complete decomposition model. Energy Economics, 20(1), pp.85-100.

Streimikiene, D. and Balezentis, T., 2016. Kaya identity for analysis of the main drivers of GHG emissions and feasibility to implement EU “20-20-20” targets in the Baltic States. Renewable and Sustainable Energy Reviews, 58, pp.1108-1113. [OpenAIRE]

Streimikiene D. and Sarvutyte-Gailiuniene, M., 2013. Impact of renewables on employment in Lithuania. Transformations in Business and Economics, 12(1A), pp.398-412. [OpenAIRE]

Xu, X.Y. and Ang, B.W., 2013. Index decomposition analysis applied to CO2 emission studies. Ecological Economics, 93, pp.313-329.

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publication . Article . 2017

Final energy consumption trends and drivers in Czech Republic and Latvia

Yu, Z.; Dalia Streimikiene; Balezentis, T.; Dapkus, R.; Jovovic, R.; Draskovic, V.;