2014•Unpublished venueRequires access

Research on Chinese energy consumption network between industrial sectors

Bin Wang, Wenping Wang, Liming Chen

Open publisher page 2 citations

Abstract

This paper develops an energy consumption network model with Chinese-2007 input-output table and the data of industrial sector energy consumption. The network characteristics and influencing factors on industrial scale are analyzed with the social network analysis and stepwise regression method. The results show that the energy consumption network might be characterized by close linkages however it isn't scale-free. The sequencing result of in-strength and out-strength shows that the energy consumption of General equipment manufacturing and Electrical equipment manufacturing can't be ignored for they are key sectors of indirect energy consumption. The structure parameters of the energy consumption network between industrial sectors have promoting effect on industrial scale.

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What this paper is about

This paper develops an energy consumption network model with Chinese-2007 input-output table and the data of industrial sector energy consumption. The network characteristics and influencing factors on industrial scale are analyzed with the social network analysis and stepwise regression method. The results show that the energy consumption network might be characterized by close linkages however it isn't scale-free. The sequencing result of in-strength and out-strength shows that the energy consumption of General equipment manufacturing and Electrical equipment manufacturing can't be ignored for they are key sectors of indirect energy consumption. The structure parameters of the energy consumption network between industrial sectors have promoting effect on industrial scale.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper develops an energy consumption network model with Chinese-2007 input-output table and the data of industrial sector energy consumption. The network characteristics and influencing factors on industrial scale are analyzed with the social network analysis and stepwise regression method. The results show that the energy consumption network might be characterized by close linkages however it isn't scale-free. The sequencing result of in-strength and out-strength shows that the energy consumption of General equipment manufacturing and Electrical equipment manufacturing can't be ignored for they are key sectors of indirect energy consumption. The structure parameters of the energy consumption network between industrial sectors have promoting effect on industrial scale.

Key concepts: Energy consumption, Consumption (sociology), Scale (ratio), Secondary sector of the economy, Table (database), Key (lock), Computer science, Manufacturing

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