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

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

Energy Economics, 2020, vol. 91, issue C

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.

Keywords: Input-output analysis; Energy embodied in trade; Aggregate embodied intensity; Structural decomposition analysis; Processing exports; China (search for similar items in EconPapers)
JEL-codes: C67 P28 Q43 Q54 Q56 R15 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:91:y:2020:i:c:s0140988320302516

DOI: 10.1016/j.eneco.2020.104911

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