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Analysis of Coordinated Development of Energy and Environment in China’s Manufacturing Industry under Environmental Regulation: A Comparative Study of Sub-Industries

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  • Manli Cheng

    (School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei 230009, China)

  • Zhen Shao

    (School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei 230009, China
    Key Laboratory of Process Optimization and Intelligent Decision-making (Hefei University of Technology), Ministry of Education, Hefei 230009, China
    Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies, Hefei 230009, China)

  • Changhui Yang

    (School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei 230009, China
    Key Laboratory of Process Optimization and Intelligent Decision-making (Hefei University of Technology), Ministry of Education, Hefei 230009, China
    Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies, Hefei 230009, China)

  • Xiaoan Tang

    (School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei 230009, China)

Abstract

In order to explore the impact of environmental regulation on the coordinated development of energy and the environment with the background of governance transition, we propose a three-stage integrated approach and use the panel data of China’s manufacturing industry 27 sub-sectors during the period of 2006–2015. In the first stage, according to the environmental pollution intensity, the manufacturing industry is divided into heavily polluting industry, moderately polluting industry, and lightly polluting industry. The second stage is employed the slacks-based measure (SBM)-undesirable method to study the sub-industries’ green energy-environmental efficiency under different environmental pollution intensities. Besides, the dynamic changes of technical innovation and efficiency among different industries are analyzed through the Malmquist productivity index. For the purpose of investigating the transmission mechanism of the Porter’s hypothesis and exploring the compound effects of environmental regulation and governance transition on green development, in the third stage, we use the panel data analysis to conduct more in-depth research on the relationship between environmental regulation, governance transition, and technical innovation. Results show that the highest average green energy-environmental efficiency is lightly polluting industry, which is 0.52, followed by the heavily polluting industry at 0.40, and the lowest is the moderately polluting industry, which is 0.32. By decomposing total factor productivity, heavily polluting industry is at the forefront of technical innovation. Panel data analysis results indicate that investment in research and development and governance transition could promote the growth of total factor productivity for manufacturing.

Suggested Citation

  • Manli Cheng & Zhen Shao & Changhui Yang & Xiaoan Tang, 2019. "Analysis of Coordinated Development of Energy and Environment in China’s Manufacturing Industry under Environmental Regulation: A Comparative Study of Sub-Industries," Sustainability, MDPI, vol. 11(22), pages 1-20, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6510-:d:288401
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    as
    1. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    2. Karen Palmer & Wallace E. Oates & Paul R. Portney & Karen Palmer & Wallace E. Oates & Paul R. Portney, 2004. "Tightening Environmental Standards: The Benefit-Cost or the No-Cost Paradigm?," Chapters, in: Environmental Policy and Fiscal Federalism, chapter 3, pages 53-66, Edward Elgar Publishing.
    3. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    4. Paul Lanoie & Michel Patry & Richard Lajeunesse, 2008. "Environmental regulation and productivity: testing the porter hypothesis," Journal of Productivity Analysis, Springer, vol. 30(2), pages 121-128, October.
    5. Wang, Yun & Sun, Xiaohua & Guo, Xu, 2019. "Environmental regulation and green productivity growth: Empirical evidence on the Porter Hypothesis from OECD industrial sectors," Energy Policy, Elsevier, vol. 132(C), pages 611-619.
    6. Luigi Aldieri & Maxim Nikolaevich Kotsemir & Concetto Paolo Vinci, 2018. "Knowledge spillover effects: empirical evidence from Russian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2111-2132, September.
    7. Gray, Wayne B. & Shadbegian, Ronald J., 2003. "Plant vintage, technology, and environmental regulation," Journal of Environmental Economics and Management, Elsevier, vol. 46(3), pages 384-402, November.
    8. Ronggang Zhang & Ching-Cheng Lu & Jen-Hui Lee & Ying Feng & Yung-Ho Chiu, 2019. "Dynamic Environmental Efficiency Assessment of Industrial Water Pollution," Sustainability, MDPI, vol. 11(11), pages 1-12, May.
    9. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    10. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    11. Li Xie & Chunlin Chen & Yihua Yu, 2019. "Dynamic Assessment of Environmental Efficiency in Chinese Industry: A Multiple DEA Model with a Gini Criterion Approach," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    12. Yang, Chih-Hai & Tseng, Yu-Hsuan & Chen, Chiang-Ping, 2012. "Environmental regulations, induced R&D, and productivity: Evidence from Taiwan's manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(4), pages 514-532.
    13. Leiter, Andrea M. & Parolini, Arno & Winner, Hannes, 2011. "Environmental regulation and investment: Evidence from European industry data," Ecological Economics, Elsevier, vol. 70(4), pages 759-770, February.
    14. Liao, Xianchun & Shi, Xunpeng (Roc), 2018. "Public appeal, environmental regulation and green investment: Evidence from China," Energy Policy, Elsevier, vol. 119(C), pages 554-562.
    15. Liu, Mengdi & Shadbegian, Ronald & Zhang, Bing, 2017. "Does environmental regulation affect labor demand in China? Evidence from the textile printing and dyeing industry," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 277-294.
    16. Wang, Yan & Shen, Neng, 2016. "Environmental regulation and environmental productivity: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 758-766.
    17. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    18. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    19. Mundaca, Luis & Markandya, Anil, 2016. "Assessing regional progress towards a ‘Green Energy Economy’," Applied Energy, Elsevier, vol. 179(C), pages 1372-1394.
    20. Xie, Rong-hui & Yuan, Yi-jun & Huang, Jing-jing, 2017. "Different Types of Environmental Regulations and Heterogeneous Influence on “Green” Productivity: Evidence from China," Ecological Economics, Elsevier, vol. 132(C), pages 104-112.
    21. Rodriguez Lopez, Juan Miguel & Sakhel, Alice & Busch, Timo, 2017. "Corporate investments and environmental regulation: The role of regulatory uncertainty, regulation-induced uncertainty, and investment history," European Management Journal, Elsevier, vol. 35(1), pages 91-101.
    22. de Miguel, Carlos & Pazó, Consuelo, 2017. "Environmental protection, innovation and price-setting behavior in Spanish manufacturing firms," Energy Economics, Elsevier, vol. 68(S1), pages 116-124.
    23. Pengsheng Li & Yanying Chen, 2019. "The Influence of Enterprises’ Bargaining Power on the Green Total Factor Productivity Effect of Environmental Regulation—Evidence from China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    24. Hering, Laura & Poncet, Sandra, 2014. "Environmental policy and exports: Evidence from Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 296-318.
    25. Feng Liu & Kwangtae Park & Unjung Whang, 2019. "Organizational Capabilities, Export Growth and Job Creation: An Investigation of Korean SMEs," Sustainability, MDPI, vol. 11(14), pages 1-16, July.
    26. Linlin Zhao & Lin Zhang & Yong Zha, 2019. "Industrial Efficiency Evaluation in China: A Nonparametric Production-Frontier Approach," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    27. Gérard Roland, 2002. "The Political Economy of Transition," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 29-50, Winter.
    28. 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.
    29. Manello, Alessandro, 2017. "Productivity growth, environmental regulation and win–win opportunities: The case of chemical industry in Italy and Germany," European Journal of Operational Research, Elsevier, vol. 262(2), pages 733-743.
    30. Zhao, Yue & Ke, Jing & Ni, Chun Chun & McNeil, Michael & Khanna, Nina Zheng & Zhou, Nan & Fridley, David & Li, Qiqiang, 2014. "A comparative study of energy consumption and efficiency of Japanese and Chinese manufacturing industry," Energy Policy, Elsevier, vol. 70(C), pages 45-56.
    31. Die Li & Jinsheng Zhu, 2019. "The Role of Environmental Regulation and Technological Innovation in the Employment of Manufacturing Enterprises: Evidence from China," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    32. Zhaohui Chong & Chenglin Qin & Xinyue Ye, 2016. "Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China," Sustainability, MDPI, vol. 8(5), pages 1-21, May.
    33. Ng, Alex & Zheng, Di, 2018. "Let's agree to disagree! On payoffs and green tastes in green energy investments," Energy Economics, Elsevier, vol. 69(C), pages 155-169.
    34. Al-mulali, Usama & Foon Tang, Chor, 2013. "Investigating the validity of pollution haven hypothesis in the gulf cooperation council (GCC) countries," Energy Policy, Elsevier, vol. 60(C), pages 813-819.
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