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01-10-2016 | Original Article

Which factors drive CO₂ emissions in EU-15? Decomposition and innovative accounting

Authors: Victor Moutinho, Mara Madaleno, Pedro Miguel Silva

Published in: Energy Efficiency | Issue 5/2016

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Abstract

This study breaks down carbon emissions into six effects within the 15 European Union countries group (EU-15) and analyses their evolution in four distinct periods: 1995–2000 (before European directive 2001/77/EC), 2001–2004 (after European directive 2001/77/EC and before Kyoto), 2005–2007 (after Kyoto implementation), and 2008–2010 (after Kyoto first stage), to determine which of them had more impact in the intensity of emissions. The complete decomposition technique was used to examine the carbon dioxide (CO₂) emissions and its components: carbon intensity (CI effect); changes in fossil fuels consumption towards total energy consumption (EM effect); changes in energy intensity effect (EG effect); the average renewable capacity productivity (GC effect); the change in capacity of renewable energy per capita (CP effect); and the change in population (P effect). It is shown that in the post Kyoto period there is an even greater differential in the negative changes in CO₂ emissions, which were caused by the negative contribution of the intensity variations of the effects EM, GC, CP and P that exceeded the positive changes occurred in CI and EG effects. It is also important to stress the fluctuations in CO₂ variations before and after Kyoto, turning positive changes to negative changes, especially in France, Italy and Spain, revealing the presence of heterogeneity. Moreover, the positive effect of renewable capacity per capita and the negative effect of renewable capacity productivity are the main factors influencing the reduction in CO₂ emissions during the Kyoto first stage. It is possible to infer from the results that one of the ways to reduce emissions intensity will be by increasing the renewable capacity and the productivity in energy generation and consequently through the reduction of the share of the consumption of fossil fuels.

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Such as the highest levels of energy intensity for Netherlands and Slovakia recorded in the second phase of the 2008–2012 Kyoto periods, whereas Luxembourg and Slovenia show the lowest levels of energy intensity and to a lesser extent Latvia, Austria, Germany and Italy.

In Ireland, Luxembourg, and Spain the population density increased by 21, 17, and 14 %, respectively, while in most of other member states the population density increased while Netherlands and Belgium emerge as the countries with the largest levels of population density.

Achão, C., & Schaeffer, R. (2009). Decomposition analysis of the variations in residential electricity consumption in Brazil for the 1980–2007 period: Measuring the activity, intensity and structure effects. Energy Policy, 37(12), 5208–5220. doi:10.1016/j.enpol.2009.07.043.CrossRef

Alam, M., Begum, I., Buysse, J., Rahman, S., & Huylenbroeck, G. (2011). Dynamic modeling of causal relationship between energy consumption, CO₂ emissions and economic growth in India. Renewable and Sustainable Energy Reviews, 15(6), 3243–3251. doi:10.1016/j.rser.2011.04.029.CrossRef

Alcántara, V. E., & Padilla, E. R. (2005). Análisis de las emisiones de CO₂ y sus factores explicativos en las diferentes áreas del mundo. Revista de Economía Crítica, Asociación de Economía Crítica, 4, 17–37.

Ang, B. W. (1995). Decomposition methodology in industrial energy demand analysis. Energy, 20(11), 1081–1095.CrossRef

Ang, B. W. (2004). Decomposition analysis for policymaking in energy: which is the preferred method ? Energy Policy, 32(9), 1131–1139. doi:10.1016/S0301-4215(03)00076-4.CrossRef

Ang, B. W., & Pandiyan, G. (1997). Decomposition of energy-induced CO₂ emissions in manufacturing. Energy Economics, 19(3), 363–374.CrossRef

Ang, B. W., & Zhang, F. (1999). Inter-regional comparisons of energy-related CO₂ emissions using the decomposition technique. Energy, 24(4), 297–305.CrossRef

Ang, B. W., & Zhang, F. (2000). A survey of index decomposition analysis in energy and environmental studies. Energy, 25(12), 1149–1176.CrossRef

Ang, B. W., Liu, F., & Chew, E. (2003). Perfect decomposition techniques in energy and environmental analysis. Energy Policy, 31, 1561–1566.CrossRef

Ang, B. W., & Choi, K. H. (1997). Decomposition of aggregate energy and gas emission intensities for industry: a refined divisia index method. Energy Journal, 18(3), 59–73.CrossRef

Ang, B. W., & Xu, X. Y. (2013). Tracking industrial energy efficiency trends using index decomposition analysis. Energy Economics, 40, 1014–1021.CrossRef

Arouri, M., Uddin, G.S., Nawaz, K., Shahbaz, M. & Teulon, F. (2013). Causal Linkages between Financial Development, Trade Openness and Economic Growth: Fresh Evidence from Innovative Accounting Approach in Case of Bangladesh. Working Papers 2013–037, Department of Research, Ipag Business School. https://www.ipag.fr/wp-content/uploads/recherche/WP/IPAG_WP_2013_037.pdf

Bartoletto, S., & Rubio, M. (2008). Energy transition and CO₂ emissions in southern Europe: Italy and Spain (1861–2000). Global Environment, 2, 46–81.

Bhattacharyya, S. C., & Matsumura, W. (2010). Changes in the GHG emission intensity in EU-15: lessons from a decomposition analysis. Energy, 35, 3315–3322.CrossRef

Brizga, J., Feng, K., & Hubacek, K. (2013). Drivers of CO 2 emissions in the former soviet union: a country level IPAT analysis from 1990 to 2010. Energy, 59, 743–753.CrossRef

Camarero, M., Castillo-Giménez, J., Picazo-Tadeo, A. J., & Tamarit, C. (2014). Is eco-efficiency in greenhouse gas emissions converging among European Union countries? Empirical Economics, 47, 143–168.CrossRef

Commission of the European Communities. (2008). Communication from the Commission to the European Parliament, the Council, the European Economics and Social Committee and the Committee of the Regions.

Diakoulaki, D., & Mandaraka, M. (2007). Decomposition analysis for assessing the progress in decoupling industrial growth from CO₂ emissions in the EU manufacturing sector. Energy Economics, 29(4), 636–664. doi:10.1016/j.eneco.2007.01.005.CrossRef

Dittmar, M. (2012). Nuclear energy: status and future limitations. Energy, 37(1), 35–40.CrossRef

Dursun, B., & Alboyaci, B. (2010). The contribution of wind-hydro pumped storage systems in meeting Turkey’s electric energy demand. Renewable and Sustainable Energy Review, 7, 1979–1988.CrossRef

Ebohon, O. J., & Ikeme, A. J. (2006). Decomposition analysis of CO₂ emission intensity between oil-producing and non-oil-producing sub-Saharan African countries. Energy Policy, 34(18), 3599–3611. doi:10.1016/j.enpol.2004.10.012.

European Commission (2014). Energy Economic Developments in Europe, European Economy Series, 1/2014.

European Union. (2001). Directive 2001/77/EC of the European parliament and of the council of 27 September 2001 on the promotion of electricity produced from renewable energy sources in the internal electricity market.

European Union. (2003). Directive 2003/30/EC of the European parliament and of the council of 8 may 2003 on the promotion of the use of biofuels or other renewable fuels for transport.

European Union. (2009). Decision no 406/2009/EC of the European parliament and of the council of 23 April 2009 on the effort of member states to reduce their greenhouse gas emissions to meet the community’s greenhouse gas emission reduction commitments up to 2020.

Eurostat. (2012). Environment and Energy. Retrieved from http//:ec.europa.eu/eurostat

G-20 Clean energy Factbook (2010). Who’s winning the clean energy race? - Growth. The Pew Charitable Trusts: Competition and Opportunity in the World’s Largest Economies.

Gales, B., Kander, A., Malanima, P., & Rubio, M. (2007). North versus south: energy transition and energy intensity in Europe over 200 years. European Review of Economic History, 11(2), 219–253.CrossRef

González, P. F., Landajo, M., & Presno, M. J. (2014a). The driving forces behind changes in CO₂ emission levels in EU-27. Differences between member states. Environmental Science & Policy, 38, 11–16. doi:10.1016/j.envsci.2013.10.007.

González, P. F., Landajo, M., & Presno, M. J. (2014b). Tracking European Union CO₂ emissions through LDMI (logarithmic-mean divisia índex) decomposition. The activity Revaluation approach. Energy, 73, 741–750. doi:10.1016/j.enpol.2005.02.005.

Greening, L. A., Davis, W. B., Schipper, L., & Khrushch, M. (1997). Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries. Energy Economics, 19(3), 375–390.CrossRef

Greening, L. A., Davis, W., & Schipper, L. (1998). Decomposition of aggregate carbon intensity for the manufacturing sector: comparison of declining trends from 10 OECD countries for the period 1971–1991. Energy Economics, 13(3), 43–65.CrossRef

Halamay, D.A. and Brekken, T.K.A. (2011). Monte Carlo analysis of the impacts of high renewable power penetration. Energy Conversion Congress and Exposition (ECCE), −IEEE, 3059–3066.

Hatzigeorgiou, E., Polatidis, H., & Haralambopoulos, D. (2008). CO 2 emissions in Greece for 1990–2002: A decomposition analysis and comparison of results using the Arithmetic Mean Divisia Index and Logarithmic Mean Divisia Index techniques. Energy, 33(3), 492–499. doi:10.1016/j.energy.2007.09.014.CrossRef

Hatzigeorgiou, E., Polatidis, H., & Haralambopoulos, D. (2010). Energy CO₂ emissions for 1990–2020: a decomposition analysis for EU-25 and Greece. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 32(20), 1908–1917. doi:10.1080/15567030902937101.CrossRef

Hoekstra, R., & Bergh, J. J. C. J. M. V. D. (2003). Comparing structural and index decomposition analysis. Energy Economics, 25(1), 39–64.CrossRef

Howarth, R., Schipper, L., Duerr, P., & Strøm, S. (1991). Manufacturing energy use in eight OECD countries: decomposing the impacts of changes in output, industry structure and energy intensity. Energy Economics, 13(2), 135–142.CrossRef

Intergovernamental Panel on Climate Change. (2000). IPCC Special Report Emissions Scenarios.

International Energy Agency (2012b). IEA statistics electricity information 2012. Paris.

International Energy Agency. (2012b). World Energy Outlook 2012a.

International Energy Agency (2013). Energy statistics 2013. Paris.

International Panel on Climate Change (2007). Climate change 2007 synthesis report. Geneva.

Kabouris, J., & Kanellos, F. (2010). Impacts of large scale wind penetration on designing and operation of electric power systems. IEEE Transactions on Sustainable Energy, 1(2), 107–114.CrossRef

Kander, A., Malanima, P., & Warde, P. (2013). Power to the people. Energy in Europe over the last five centuries. Princeton: Princeton University Press.

Kawase, R., Matsuoka, Y., & Fujino, J. (2006). Decomposition analysis of CO₂ emission in long-term climate stabilization scenarios. Energy Policy, 34(15), 2113–2122. doi:10.1016/j.enpol.2005.02.005.CrossRef

Lee, C., & Chien, M. (2010). Dynamic modelling of energy consumption, capital stock, and real income in G-7 countries. Energy Economics, 32(3), 564–581. doi:10.1016/j.eneco.2009.08.022.CrossRef

Lee, C., & Chiu, Y. (2011). Nuclear energy consumption, oil prices, and economic growth: evidence from highly industrialized countries. Energy Economics, 33(2), 236–248. doi:10.1016/j.eneco.2010.07.001.CrossRef

Lee, K., & Oh, W. (2006). Analysis of CO₂ emissions in APEC countries: a time-series and a cross-sectional decomposition using the log mean divisia method. Energy Policy, 34(17), 2779–2787. doi:10.1016/j.enpol.2005.04.019.CrossRef

Liaskas, K., Mavrotas, G., Mandaraka, M., & Diakoulaki, D. U. (2000). Decomposition of industrial CO₂ emissions: the case of European Union. Energy Economics, 22(4), 383–394.CrossRef

Lin, B., & Moubarak, M. (2013). Decomposition analysis: change of carbon dioxide emissions in the Chinese textile industry. Renewable and Sustainable Energy Reviews, 26, 389–396.CrossRef

Lindmark, M. (2002). An EKC-pattern in historical perspective: carbon dioxide emissions, technology, fuel prices and growth in Sweden 1870–1997. Ecological Economics, 42(1–2), 333–347.CrossRef

Lise, W. (2006). Decomposition of CO₂ emissions over 1980–2003 in Turkey. Energy Policy, 34(14), 1841–1852. doi:10.1016/j.enpol.2004.12.021.CrossRef

Liu, L., Fan, Y., Wu, G., & Wei, Y. (2007). Using LMDI method to analyze the change of China’ s industrial CO₂ emissions from final fuel use: an empirical analysis. Energy Policy, 35(11), 5892–5900. doi:10.1016/j.enpol.2007.07.010.CrossRef

Luukkanen, J., & Kaivo-oja, J. (2002). Meaningful participation in global climate policy? Comparative analysis of the energy and CO₂ efficiency dynamics of key developing countries. Global Environmental Change, 12(2), 117–126.CrossRef

Ma, C., & Stern, D. I. (2008). China’s changing energy intensity trend: a decomposition analysis. Energy Economics, 30(3), 1037–1053. doi:10.1016/j.eneco.2007.05.005.CrossRef

Maghyereh, A. (2004). Oil price shocks and emerging stock markets: a generalized VAR approach. International Journal of Applied Econometrics and Quantitative Studies, 1(2), 27–40.

Menyah, K., & Wolde-Rufael, Y. (2012). CO₂ emissions, nuclear energy, renewable energy and economic growth in the US. Energy Policy, 38(6), 2911–2915. doi:10.1016/j.enpol.2010.01.024.CrossRef

Factbook, O. E. C. D. (2013). Economic. Environment and Social: Statistics.

Park, J., & Ratti, R. (2008). Oil price shocks and stock markets in the U.S. and 13 European countries. Energy Economics, 30, 2587–2608. doi:10.1016/j.eneco.2008.04.003.CrossRef

Paul, S., & Bhattacharya, R. (2004). CO₂ emission from energy use in India: a decomposition analysis. Energy Policy, 32(2), 585–593. doi:10.1016/S0301-4215(02)00311-7.CrossRef

Picazo-Tadeo, A. J., Castillo-Giménez, J., & Beltrán-Esteve, M. (2014). An intertemporal approach to measuring environmental performance with directional distance functions: greenhouse gas emissions in the European Union. Ecological Economics, 100, 173–182.CrossRef

Raupach, M., Marland, G., Ciais, P., Le Quéré, C., Canadell, J., Klepper, G., & Field, C. (2007). Global and regional drivers of accelerating CO₂ emissions. In W. C. Clark, Harvard University, & Cambridge MA (Eds.), Proceedings of the National Academy of Sciences of the United States of America (pp. 10288–10293). doi:www.pnas.org/cgi/doi/10.1073/pnas.0700609104

Rose, A., & Casler, S. (1996). Input-output structural decomposition analysis: a critical appraisal. Economic Systems Research, 8(1), 33–62.CrossRef

Schipper, L., Murtishaw, S., Khrushch, M., Ting, M., Karbuz, S., & Unander, F. (2001). Carbon emissions from manufacturing energy use in 13 IEA countries: long-term trends through 1995. Energy Policy, 29(9), 667–688.CrossRef

Shahiduzzaman, M., Layton, A., & Alam, K. (2015). Decomposition of energy-related CO₂ emissions in Australia: challenges and policy implications. Economic Analysis and Policy, 45, 100–111. doi:10.1016/j.eap.2014.12.001.CrossRef

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

Sun, J. W. (1999). Decomposition of aggregate CO₂ emissions in the OECD: 1960–1995. The Energy Journal, 20(3), 147–155.CrossRef

Sun, J. W. (2000). Is CO₂ emission intensity comparable? Energy Policy, 28(15), 1081–1084.CrossRef

The World Databank. (2014). World Databank. Retrieved April 20, 2014, from http://databank.worldbank.org/data/home.aspx

Timilsina, G., & Shrestha, A. (2009). Factors affecting transport sector CO₂ emissions growth in Latin American and Caribbean countries: an LMDI decomposition analysis. International Journal of Energy Research, 33(4), 396–414. doi:10.1002/er.CrossRef

Tol, R., Pacala, S., & Socolow, R. (2009). Understanding long-term energy use and carbon dioxide emissions in the USA. Journal of Policy Modelling, 31(3), 425–445.CrossRef

Torvanger, A. (1991). Manufacturing sector carbon dioxide emissions in nine OECD countries, 1973–87: a divisia index decomposition to changes in fuel mix, emission coefficients, industry structure, energy intensities and international structure. Energy Economics, 13(3), 168–186.CrossRef

Unander, F., Karbuz, S., Schipper, L., Khrushch, M., & Ting, M. (1999). Manufacturing energy use in OECD countries: decomposition of long-term trends. Energy Policy, 27(13), 769–778.CrossRef

United Nations. (1998). Kyoto Protocol to the United Nations Framework Convention on Climate Change.

Vaninsky, A. (2014). Factorial decomposition of CO₂ emissions: a generalized divisia índex approach. Energy Economics, 45, 389–400. doi:10.1016/j.eneco.2014.07.008.CrossRef

Wang, C., Chen, J., & Zou, J. (2005). Decomposition of energy-related CO₂ emission in China: 1957–2000. Energy, 30(1), 73–83. doi:10.1016/j.energy.2004.04.002.CrossRef

World Bank. (2013). World development indicators. Washington (DC).

Wu, L., Kaneko, S., & Matsuoka, S. (2005). Driving forces behind the stagnancy of China’s energy-related CO₂ emissions from 1996 to 1999: the relative importance of structural change, intensity change and scale change. Energy Policy, 33(3), 319–335. doi:10.1016/j.enpol.2003.08.003.CrossRef

Zhang, M., Mu, H., Ning, Y., & Song, Y. (2009). Decomposition of energy-related CO₂ emission over 1991–2006 in China. Ecological Economics, 68(7), 2122–2128. doi:10.1016/j.ecolecon.2009.02.005.CrossRef

Zhang, X., & Cheng, X. (2009). Energy consumption, carbon emissions, and economic growth in China. Ecological Economics, 68(10), 2706–2712. doi:10.1016/j.ecolecon.2009.05.011.CrossRef

Zhang, Y., Zhang, J., Yang, Z., & Li, S. (2011). Regional differences in the factors that influence China’ s energy-related carbon emissions, and potential mitigation strategies. Energy Policy, 39(12), 7712–7718. doi:10.1016/j.enpol.2011.09.015.CrossRef

Title: Which factors drive CO2 emissions in EU-15? Decomposition and innovative accounting
Authors: Victor Moutinho
Mara Madaleno
Pedro Miguel Silva
Publication date: 01-10-2016
Publisher: Springer Netherlands
Published in: Energy Efficiency / Issue 5/2016
Print ISSN: 1570-646X
Electronic ISSN: 1570-6478
DOI: https://doi.org/10.1007/s12053-015-9411-x

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