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Energy content in manufacturing exports: A cross-country analysis


  • Amador, João


This article compares the energy content in manufacturing exports in a set of 30 advanced and emerging economies and examines its evolution from 1995 to 2005, combining information from the OECD input–output matrices and international trade data in 17 manufacturing sectors. In addition, the article suggests a methodology to disentangle export structure and sectoral energy efficiency effects, presenting results according to technological categories. The article concludes that Brazil, India and, mostly, China, present a high energy content in manufacturing exports, which has increased from 1995 to 2005. Conversely, many advanced economies, notably in Europe and North America, which showed energy contents below the world average in 1995, reinforced their position as exporters with relatively lower energy usage. The contribution of export structure and energy efficiency effects to explain differences in the energy content of exports draws attention to the situation of China. This country increased its relative energy usage in the exports of all technological categories of goods. This effect was reinforced by the stronger export specialization in high-tech products and hindered by a comparatively lower specialization in medium-high-tech products.

Suggested Citation

  • Amador, João, 2012. "Energy content in manufacturing exports: A cross-country analysis," Energy Economics, Elsevier, vol. 34(4), pages 1074-1081.
  • Handle: RePEc:eee:eneeco:v:34:y:2012:i:4:p:1074-1081 DOI: 10.1016/j.eneco.2011.09.004

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    References listed on IDEAS

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    Cited by:

    1. Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
    2. Bosupeng, Mpho, 2017. "Electricity Consumption and Exports Growth: Revisiting the Feedback Hypothesis," MPRA Paper 81756, University Library of Munich, Germany, revised 2017.
    3. Picciolo, Francesco & Papandreou, Andreas & Hubacek, Klaus & Ruzzenenti, Franco, 2017. "How crude oil prices shape the global division of labor," Applied Energy, Elsevier, vol. 189(C), pages 753-761.
    4. Zhang, Bo & Chen, Z.M. & Xia, X.H. & Xu, X.Y. & Chen, Y.B., 2013. "The impact of domestic trade on China's regional energy uses: A multi-regional input–output modeling," Energy Policy, Elsevier, vol. 63(C), pages 1169-1181.
    5. Marcos Gonçalves Perroni & Sérgio Eduardo Gouvêa da Costa & Sérgio Eduardo Gouvêa da Costa & Wesley Vieira da Silva & Edson Pinheiro de Lima & Edson Pinheiro de Lima & Claudimar Pereira da Veiga & Cla, 2016. "Analysis of Income Elasticities of Brazil’s Energy Matrix," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 431-441.
    6. Adewuyi, Adeolu O. & Adeniyi, Oluwatosin, 2015. "Trade and consumption of energy varieties: Empirical analysis of selected West Africa economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 354-366.
    7. Bosupeng, Mpho, 2017. "On the Effects of the BRICS on World Economic Growth," MPRA Paper 81757, University Library of Munich, Germany, revised 2017.

    More about this item


    Energy efficiency; Exports; Advanced and emerging economies;

    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General


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