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Tales From The Tails: Sector-Level Carbon Intensity Distribution

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  • BARAN DODA

    (CCCEP & Grantham Research Institute, London School of Economics, Houghton Street, London, WC2A 2AE, UK)

Abstract

The level of GDP, its sector composition and the carbon intensity of individual sectors together determine a country’s emissions. To evaluate the contribution of changes in each determinant, I construct counterfactual emissions scenarios in a sample consisting of 34 sectors in 37 countries over 1995–2009. I compare these scenarios quantitatively using a novel metric, namely the relative cumulative emissions. I find that the composition of output and the carbon intensity of sectors individually or jointly constrained emissions in a large majority of countries. This motivates an analysis of high- and low-carbon intensity sectors, denoted HCI and LCI, where emissions and value-added tend to be concentrated, respectively. I document the cross-country variation in HCI sectors’ carbon intensity and show it declines over time largely due to improvements in developing countries. HCI sectors tend to account for a smaller share of employment; be more capital intensive; and employ a workforce with a lower average skill level. Employment declined in HCI sectors and increased in LCI sectors with its composition shifting towards high-skilled workers in both. Capital intensity growth was faster but multifactor productivity growth was slower in HCI sectors.

Suggested Citation

  • Baran Doda, 2018. "Tales From The Tails: Sector-Level Carbon Intensity Distribution," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 1-27, November.
  • Handle: RePEc:wsi:ccexxx:v:09:y:2018:i:04:n:s2010007818500112
    DOI: 10.1142/S2010007818500112
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    References listed on IDEAS

    as
    1. 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.
    2. Schymura, Michael & Voigt, Sebastian, 2014. "What drives changes in carbon emissions? An index decomposition approach for 40 countries," ZEW Discussion Papers 14-038, ZEW - Leibniz Centre for European Economic Research.
    3. Coady, David & Parry, Ian & Sears, Louis & Shang, Baoping, 2017. "How Large Are Global Fossil Fuel Subsidies?," World Development, Elsevier, vol. 91(C), pages 11-27.
    4. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    5. Valeria Di Cosmo & Marie Hyland, 2015. "Decomposing patterns of emission intensity in the EU and China: how much does trade matter?," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 58(12), pages 2176-2192, December.
    6. W. Reed Walker, 2013. "The Transitional Costs of Sectoral Reallocation: Evidence From the Clean Air Act and the Workforce," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1787-1835.
    7. Miketa, Asami & Mulder, Peter, 2005. "Energy productivity across developed and developing countries in 10 manufacturing sectors: Patterns of growth and convergence," Energy Economics, Elsevier, vol. 27(3), pages 429-453, May.
    8. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    9. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    10. Myles R. Allen, 2016. "Drivers of peak warming in a consumption-maximizing world," Nature Climate Change, Nature, vol. 6(7), pages 684-686, July.
    11. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    12. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    13. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    14. Miketa, Asami, 2001. "Analysis of energy intensity developments in manufacturing sectors in industrialized and developing countries," Energy Policy, Elsevier, vol. 29(10), pages 769-775, August.
    15. Cole, Matthew A. & Elliott, Robert J. R., 2003. "Determining the trade-environment composition effect: the role of capital, labor and environmental regulations," Journal of Environmental Economics and Management, Elsevier, vol. 46(3), pages 363-383, November.
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    Cited by:

    1. Hyungsu Kang & Hyunmin Daniel Zoh, 2022. "Classifying Regional and Industrial Characteristics of GHG Emissions in South Korea," Energies, MDPI, vol. 15(20), pages 1-16, October.

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