Emergy based resource intensities of industry sectors in China. (20th January 2017)

• Record Type: Journal Article
• Authors: Zhang, L.X.; Hao, Y.; Chang, Y.; Pang, M.Y.; Tang, S.J.
• Is Part Of: Journal of cleaner production. Volume 142:Part 2(2017)
• Page Start: 829
• Page End: 836
• Publication Date: 2017-01-20
• Subjects: Input-output analysis -- Emergy -- Resource intensity; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2016.03.063
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Emergy analysis can facilitate unified system resources accounting. By combining emergy method with input–output modeling technology, this paper developed an eco-thermodynamic input–output model of the 2007 China economy to account for the sector-specific resource intensities. The results show that the resource intensities for Chinese industry sectors present a distribution with a certain pattern which may vary over three orders of magnitude, measured in terms of resource consumption against economic capital generation. At the scale of the entire economy, the emergy intensities for the resource extraction sectors of non-metallic minerals and metallic ores are the highest. Sectors with the smallest emergy to money ratios are service sectors which rely less on primary natural resources. The sector of coal mining is found to have the largest resource intensity of 6.19E+16 seJ/1E+4 CNY among all sectors, while the sectoral intensity of scrap and waste is only 6.44E+14 seJ/1E+4 CNY, the least one. The insight obtained by juxtaposing resource intensities as well as their structures of industry sectors is useful to identify opportunities for reducing resource intensities that could enable improvements in their ecological sustainability. Highlights: An eco-thermodynamic input–output model of the 2007 China economy was developed. Emergy based sector-specific resource intensities were calculated using this model. Resource mining sectors get the highest intensities while service sectors lowest. The results are useful to identify opportunities for reducing resource intensities.