A Factorial Ecological-Extended Physical Input-Output Model for Identifying Optimal Urban Solid Waste Path in Fujian Province, China

Jing Liu, Yongping Li, Gordon Huang, Yujin Yang and Xiaojie Wu
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Jing Liu: School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen 361024, China
Yongping Li: School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen 361024, China
Gordon Huang: Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, SK S4S 0A2, Canada
Yujin Yang: School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen 361024, China
Xiaojie Wu: School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen 361024, China

Sustainability, 2021, vol. 13, issue 15, 1-18

Abstract: Effective management of an urban solid waste system (USWS) is crucial for balancing the tradeoff between economic development and environment protection. A factorial ecological-extended physical input-output model (FE-PIOM) was developed for identifying an optimal urban solid waste path in an USWS. The FE-PIOM integrates physical input-output model (PIOM), ecological network analysis (ENA), and fractional factorial analysis (FFA) into a general framework. The FE-PIOM can analyze waste production flows and ecological relationships among sectors, quantify key factor interactions on USWS performance, and finally provide a sound waste production control path. The FE-PIOM is applied to managing the USWS of Fujian Province in China. The major findings are: (i) waste is mainly generated from primary manufacturing (PM) and advanced manufacturing (AM), accounting for 30% and 38% of the total amount; (ii) AM is the biggest sector that controls the productions of other sectors (weight is from 35% to 50%); (iii) the USWS is mutualistic, where direct consumption coefficients of AM and PM are key factors that have negative effects on solid waste production intensity; (iv) the commodity consumption of AM and PM from other sectors, as well as economic activities of CON, TRA and OTH, should both decrease by 20%, which would be beneficial to the sustainability of the USWS.

Keywords: ecological relationship; factorial analysis; input-output analysis; optimal path; reduction; urban solid waste system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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