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Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015

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  • Zhu, Bangzhu
  • Su, Bin
  • Li, Yingzhu
  • Ng, Tsan Sheng

Abstract

International trade has important impacts on a country’s energy consumption. This paper first uses the time-series (2005–2015) extended input-output database to study China’s embodied energy and intensity in both normal and processing exports. Structural decomposition analysis (SDA) is then applied to analyze the driving forces behind the embodiment changes. The empirical results show that China’s energy embodied in both normal and processing exports first increased in 2005–2008, dropped in 2009 due to the global financial crisis, and then rose again after 2009, and finally dropped in 2014–2015. The embodied energy in trade as a percentage of total energy consumption in China was relatively stable before and after the global financial crisis, at around 28% over the 2005–2008 period, and 22% over the 2009–2015 period. The contribution of the aggregate embodied intensity (AEI) of exports to China’s aggregate energy intensity dropped from 30% in 2005 to 21% in 2015. Among China’s trading partners, the United States, Japan and Korea together accounted for around half of China’s embodied energy and AEI in exports in 2005, but their shares dropped to only one third in 2015. Energy efficiency improvement played the key role in reducing the embodied energy and intensity in China’s exports. Similar analysis can be applied to other regions and indicators.

Suggested Citation

  • Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:eneeco:v:91:y:2020:i:c:s0140988320302516
    DOI: 10.1016/j.eneco.2020.104911
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    Keywords

    Input-output analysis; Energy embodied in trade; Aggregate embodied intensity; Structural decomposition analysis; Processing exports; China;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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