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Measuring Green Growth Efficiency for Chinese Manufacturing Industries

Ying Qu, Ying Yu, Andrea Appolloni, Mengru Li and Yue Liu
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Ying Qu: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
Ying Yu: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
Andrea Appolloni: Sino-Us Global Logistics Institute (SUGLI), Shanghai Jiao Tong University, Shanghai 200030, China
Mengru Li: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
Yue Liu: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China

Sustainability, 2017, vol. 9, issue 4, 1-18

Abstract: As a pillar industry in supporting Chinese economy, Chinese manufacturing industry consumes a large amount of energy and causes serious environmental pollutants. Better understanding the greening level of manufacturing industry is important to promote its green growth. Hence first this study, measures the green growth efficiency for Chinese manufacturing industries by applying the EBM measuring model; second, to better understand the differences and similarity in green growth among those industries, this study categorizes those industries into different types by using cluster analysis. The result shows that within the past nine years, green growth efficiency value for Chinese manufacturing industries rises steadily year by year, and Chinese manufacturing industries have huge promotion potentials in resource saving and environment pollutant reduction. And the characteristics of each different type are analyzed. Finally, policies and suggestions are put forward to promote the green growth of manufacturing industries in China. This study objectively evaluates the green growth level of Chinese manufacturing industry, which is helpful to understand the status quo and also explore green growth path for Chinese manufacturing industries.

Keywords: manufacturing industry; green growth; EBM model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

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