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Measuring Green Growth Efficiency for Chinese Manufacturing Industries

Author

Listed:
  • 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
    Department of Management and Law Faculty of Economics, University of Rome Tor Vergata, Via Columbia 2, 00133 Rome, Italy)

  • 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)

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.

Suggested Citation

  • Ying Qu & Ying Yu & Andrea Appolloni & Mengru Li & Yue Liu, 2017. "Measuring Green Growth Efficiency for Chinese Manufacturing Industries," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:637-:d:96069
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    References listed on IDEAS

    as
    1. Napp, T.A. & Gambhir, A. & Hills, T.P. & Florin, N. & Fennell, P.S, 2014. "A review of the technologies, economics and policy instruments for decarbonising energy-intensive manufacturing industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 616-640.
    2. Ramli, Noor Asiah & Munisamy, Susila, 2015. "Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure," Economic Modelling, Elsevier, vol. 47(C), pages 219-227.
    3. Cainelli, Giulio & D’Amato, Alessio & Mazzanti, Massimiliano, 2015. "Adoption of waste-reducing technology in manufacturing: Regional factors and policy issues," Resource and Energy Economics, Elsevier, vol. 39(C), pages 53-67.
    4. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Cainelli, Giulio & Mazzanti, Massimiliano, 2013. "Environmental innovations in services: Manufacturing–services integration and policy transmissions," Research Policy, Elsevier, vol. 42(9), pages 1595-1604.
    7. Luukkanen, Jyrki, 2003. "Green paper with green electricity? Greening strategies of Nordic pulp and paper industry," Energy Policy, Elsevier, vol. 31(7), pages 641-655, June.
    8. Pahle, Michael & Pachauri, Shonali & Steinbacher, Karoline, 2016. "Can the Green Economy deliver it all? Experiences of renewable energy policies with socio-economic objectives," Applied Energy, Elsevier, vol. 179(C), pages 1331-1341.
    9. repec:dau:papers:123456789/10174 is not listed on IDEAS
    10. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    11. Bassi, Andrea M. & Yudken, Joel S. & Ruth, Matthias, 2009. "Climate policy impacts on the competitiveness of energy-intensive manufacturing sectors," Energy Policy, Elsevier, vol. 37(8), pages 3052-3060, August.
    12. Zheng, Shiming & Yi, Hongtao & Li, Hui, 2015. "The impacts of provincial energy and environmental policies on air pollution control in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 386-394.
    13. Yangho Chung & Rolf Fare, 1995. "Productivity and Undesirable Outputs: A Directional Distance Function Approach," Microeconomics 9511002, University Library of Munich, Germany, revised 09 Nov 1995.
    14. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    15. Costantini, Valeria & Crespi, Francesco & Palma, Alessandro, 2017. "Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies," Research Policy, Elsevier, vol. 46(4), pages 799-819.
    16. Lindman, Åsa & Söderholm, Patrik, 2016. "Wind energy and green economy in Europe: Measuring policy-induced innovation using patent data," Applied Energy, Elsevier, vol. 179(C), pages 1351-1359.
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    Full references (including those not matched with items on IDEAS)

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