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Construction resource allocation for industrial solid waste treatment centers in cities of Anhui Province, China

Jie Wu (School of Management, University of Science and Technology of China, Hefei, China)
Wanting Zhang (School of Management, University of Science and Technology of China, Hefei, China)
Zhixiang Zhou (Department of Economics, Hefei University of Technology, Hefei, China)

Management of Environmental Quality

ISSN: 1477-7835

Article publication date: 12 June 2019

Issue publication date: 9 July 2019

Abstract

Purpose

The purpose of this paper is to study where to place industrial solid waste treatment centers among the 16 prefecture-level cities under its jurisdiction.

Design/methodology/approach

This paper adopts the cross-efficiency data envelopment analysis (DEA) model, with the industrial land price and average annual salary per capita as inputs, while coverage, total transportation distance, number of industrial enterprises and total amount of industrial solid waste are used as outputs.

Findings

Based on the spatial efficiency scores calculated by using the new presented models, the authors find that the most efficient construction site are Chizhou, Chuzhou, Suzhou and Bengbu. That is quite different from the results obtained by using traditional approach.

Originality/value

This paper evaluates the spatial efficiency by using combinations of the four locations as the decision-making units of the DEA model, which could be used as an objective way to allocate limited resource. In addition to the resource allocation of the industrial solid waste treatment center, the method in this paper can also be applied to other spatial aspects of resource allocation.

Keywords

Acknowledgements

This research was supported by the National Natural Science Foundation of China (Grant Nos 71571173 and 71701059).

Citation

Wu, J., Zhang, W. and Zhou, Z. (2019), "Construction resource allocation for industrial solid waste treatment centers in cities of Anhui Province, China", Management of Environmental Quality, Vol. 30 No. 5, pp. 1190-1202. https://doi.org/10.1108/MEQ-01-2019-0001

Publisher

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Emerald Publishing Limited

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