China's regional disparities in energy consumption: An input–output analysis

Zheng Li, Lingying Pan, Feng Fu, Pei Liu, Linwei Ma and Angelo Amorelli

Energy, 2014, vol. 78, issue C, 426-438

Abstract: While most of previous studies on China's energy conservation took the huge country as a whole, this manuscript revealed the obvious regional disparities in energy consumption of China's 30 provinces. Based on a hybrid energy input–output model, the total energy consumption of different regions was decomposed and compared using three measurements of embodied energy in inter-regional trade: 1) only considered inter-regional energy trade; 2) considered embodied energy in flow-out of final goods and services; 3) considered embodied energy in flow-in of final goods and services. Based on the second and third measurements, the 30 regions were categorized into four groups by their energy intensity and per capita GDP (gross domestic production). Common characteristics of decomposed regional energy intensity are discussed, and policy implication for regional energy conservation is provided. For developed regions with low energy intensities, such as Shanghai, energy conservation should focus on promoting low energy-consuming life style. For under-developed regions with low energy intensities, such as Guangxi, economic development is more urgent than energy conservation. For developing and energy absorbing regions, improving energy efficiency in industries is significant. For developing and energy exporting regions, transforming primary energy into high value-added products would be beneficial for economic development and energy conservation.

Keywords: Energy consumption; Input–output model; Regional disparity; Energy intensity (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:78:y:2014:i:c:p:426-438

DOI: 10.1016/j.energy.2014.10.030

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