Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017

Junna Yan, Yingzhu Li, Bin Su and Tsan Sheng Ng

Energy Economics, 2022, vol. 115, issue C

Abstract: China has been experiencing significant energy use transition accompanied by emphasizing on dual control of energy (e.g. energy consumption and energy intensity). Energy use was expected to present obvious spatial characteristics and differentiated contributions across regions. A systematic energy analysis was carried out to 31 regions (including Tibet) in China for investigating the contributors to national achievements and key drivers of regional energy use. With the help of multi-region input-output model (MRIO) and structural decomposition analysis (SDA) techniques, we found that the aggregate energy use in China has been advanced effectively with a declined increasing total energy consumption and accelerated decreasing total aggregate energy intensity. From regional perspective, Eastern region contributed the most characterized by greater total embodied energy consumption and lower aggregate embodied energy intensity, such as Shandong, Hebei and Jiangsu. From demand perspective, regional energy use has been dramatically determined by investment, consumption and exports in sequence. The changes in regional energy use have been tremendously influenced by the sectoral energy intensity and domestic production structure with differentiated performance across regions. According to additive and multiplicative SDA results, two different regional energy conservation paths, i.e. efficiency- and structure-oriented improvements, were identified for China.

Keywords: Multi-region input-output model; Structural decomposition analysis; Total embodied energy consumption; Aggregate embodied energy intensity; China (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:115:y:2022:i:c:s0140988322004868

DOI: 10.1016/j.eneco.2022.106357

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