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Analysing energy productivity dynamics in the OECD manufacturing sector

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  • Parker, Steven
  • Liddle, Brant

Abstract

This work aims at developing an understanding of the dynamics of energy productivity. We analyse energy productivities for a sample of 61 OECD country-sector groups in the manufacturing sector over the period 1980 to 2009. We employ two steps of analysis, a preliminary step using a clustering algorithm that sorts countries into groupings or “clubs,” then a second step analysing factors that impact on club membership. We find (i) each group has distinctive dynamics and (ii) evidence that technology structure of production and investment are associated with higher relative energy productivity performance. Further, we find adjusting for energy quality is important.

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  • Parker, Steven & Liddle, Brant, 2017. "Analysing energy productivity dynamics in the OECD manufacturing sector," Energy Economics, Elsevier, vol. 67(C), pages 91-97.
    • Handle: RePEc:eee:eneeco:v:67:y:2017:i:c:p:91-97
    DOI: 10.1016/j.eneco.2017.07.016
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    More about this item

    Keywords

    Energy productivity; Club convergence/clustering; OECD manufacturing; Transition paths; Drivers; Energy quality;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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