Assessing environmental efficiency of China’s industry system using two-stage range-adjusted measure model

• Published in: Management of environmental quality Vol. 32; no. 6; pp. 1401 - 1421
• Main Authors: Wang, Meiqiang, Chen, Yingwen, Zhou, Zhixiang
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 05-10-2021; Emerald Group Publishing Limited
• Subjects: Coastal zone; Consumption; Data envelopment analysis; Decision making; Efficiency; Energy efficiency; Environmental assessment; Environmental impact; Environmental protection; Environmental quality; Environmental regulations; GDP; Gross Domestic Product; Industrial pollution; Industrial production; Innovations; Performance evaluation; Pollutants; Pollution; R&D; Research & development; Subsidies; Technological change; Technology; Variables; China; Technological innovation; RAM model; Industrial system; Total factor efficiency; Heuristic algorithm
• ISSN: 1477-7835; 1758-6119
• DOI: 10.1108/MEQ-12-2020-0282

PurposeThe purpose of this paper is to examine the industrial production efficiency, pollution treatment efficiency, total factor energy efficiency and water efficiency in China with the consideration of technological innovation. This study also explores the distribution proportion of technological innovation between industrial production substage and pollution treatment substage.Design/methodology/approachA nonparametric method, data envelopment analysis (DEA), is used as the model foundation of this study. Specifically, a novel two-stage range-adjusted measure (RAM-DEA) with shared inputs is constructed to analyze the China’s industrial system. In this study, the panel data of 30 provinces from 2008 to 2015 are used.FindingsThis study found that although the current environmental regulation reduced the efficiency of industrial production, it could significantly improve the pollution treatment level. However, the lack of pollution treatment capacity was still an obstacle for development of China's industrial system. Compared with the total factor energy efficiency, the total factor water efficiency had more room for improvement. The optimal distribution of technological innovation in the two substages performed little change and the distribution roughly followed the “three-seven principle”.Practical implicationsMore attention should be paid to improve the pollution treatment level and total factor water efficiency. And more R&D expenditure should be used in the industrial production substage in the eastern coastal areas, while in the inland areas, more R&D expenditure should be used in the pollution treatment substage.Originality/valueThis study proposed a model to environmental efficiency score with considering interval data under two-stage evaluation structure, which could strengthen the theory and expand the application scope of DEA approach.