Analysis of embodied exergy flow between Chinese industries based on network theory

Qier An, Haizhong An, Lang Wang, Xiangyun Gao and Na Lv

Ecological Modelling, 2015, vol. 318, issue C, 26-35

Abstract: The transfer of embodied exergy from one industry to another can be modeled using a network to help understand industrial characteristics and resource features of a specific area. In this paper, we build a weighted directed network of embodied exergy flows between Chinese industries based on the 135-sector input–output table from 2007. The density, connectedness and degree distribution are used to describe the overall performance of the network. The results show that the network has a low density and a high connectedness, indicating that the network has little influence on specific industries while individual industries have a strong impact on each other. The degree, weighted degree and betweenness centrality are used to determine the main industries in the network. Key industries are characterized by large degrees that play a key role in the network, of which the mining and washing of coal, the production and supply of electric and heat power, construction, and the rolling of steel have stronger influences on the network. Moreover, the production and supply of electric power and heat power, the manufacture of automobiles and farming are the intermediaries of the network. Finally, we use a block-modeling method to decompose the collection of 135 Chinese industries into seven communities. The community of coal-related industries is the core of the network, which transfers embodied exergy to every other community, whereas the community of steel-related industries is also important, forming the base of the rest of the network.

Keywords: Embodied exergy; Input–output table; Complex network; Industry; Exergy flow (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380015000393
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:318:y:2015:i:c:p:26-35

DOI: 10.1016/j.ecolmodel.2015.01.020

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().