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Study on the industrial Eco-Efficiency in East China based on the Super Efficiency DEA Model: an example of the 2003–2013 panel data

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  • Zhimin Dai
  • Lu Guo
  • Zhengyi Jiang

Abstract

The article uses the panel data of six provinces and one chartered city in East China from 2003 to 2013 as an example, constructs the input–output indicators system of Eco-Efficiency, calculates each region’s industrial Eco-Efficiencies throughout the 11 years by the Super Efficiency DEA Model, carries out dynamic studies on the efficiencies by using the Malmquist Index and analyses the factors influencing the efficiencies by the Tobit model. The empirical studies suggest the following: the regions in East China have relatively high industrial Eco-Efficiencies, and the efficiencies turn out a downward then upward trend; there are disparities among the regions as Shanghai, Zhejiang and Jiangsu are regions of relatively high industrial Eco-Efficiencies; the region all have Tfpch (productivity changes) greater than 1, of which the average is 7.2%, and the industrial Eco-Efficiencies are mainly driven by technology advancement; research and development, foreign capital and industrial structure each has a positive relationship with the industrial Eco-Efficiencies, and research and development has a significant influence, while industrial structure has an insignificant influence, and environment governance has a negative and significant influence.

Suggested Citation

  • Zhimin Dai & Lu Guo & Zhengyi Jiang, 2016. "Study on the industrial Eco-Efficiency in East China based on the Super Efficiency DEA Model: an example of the 2003–2013 panel data," Applied Economics, Taylor & Francis Journals, vol. 48(59), pages 5779-5785, December.
    • Handle: RePEc:taf:applec:v:48:y:2016:i:59:p:5779-5785
    DOI: 10.1080/00036846.2016.1184380
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    Cited by:

    1. Wu, Yunna & Ke, Yiming & Zhang, Ting & Liu, Fangtong & Wang, Jing, 2018. "Performance efficiency assessment of photovoltaic poverty alleviation projects in China: A three-phase data envelopment analysis model," Energy, Elsevier, vol. 159(C), pages 599-610.
    2. Pei-Pei Jiang & Yuan Wang & Jin Luo & Lin Zhu & Rui Shi & Song Hu & Xiaodong Zhu, 2023. "Measuring static and dynamic industrial eco-efficiency in China based on the MinDS–Malmquist–Luenberger model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5241-5261, June.
    3. Chen, Yi & Long, Xingle & Salman, Muhammad, 2021. "Did the 2014 Nanjing Youth Olympic Games enhance environmental efficiency? New evidence from a quasi-natural experiment," Energy Policy, Elsevier, vol. 159(C).
    4. Feng Wang & Yijie Jiang & Wulin Zhang & Fang Yang, 2019. "Elasticity of factor substitution and driving factors of energy intensity in China’s industry," Energy & Environment, , vol. 30(3), pages 385-407, May.
    5. Wai Li & Xiaohong Chen & Ying Wang, 2022. "Spatiotemporal Patterns and Influencing Factors of Industrial Ecological Efficiency in Northeast China," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    6. Zhuo Qiao & Hao Chen, 2020. "Club convergence analysis of regional ecological efficiency in China," Pacific Economic Review, Wiley Blackwell, vol. 25(3), pages 384-401, August.
    7. Yiming Hou & Guanwen Yin & Yanbin Chen, 2022. "Environmental Regulation, Financial Pressure and Industrial Ecological Efficiency of Resource-Based Cities in China: Spatiotemporal Characteristics and Impact Mechanism," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    8. Xuanzhi Yang & Zhaofang Zhang & Wei Luo & Zhen Tang & Xin Gao & Zhongchi Wan & Xin Zhang, 2019. "The Impact of Government Role on High-Quality Innovation Development in Mainland China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    9. Yifang Wang & Linlin Cheng & Yang Zheng, 2022. "Rural Effectiveness Evaluation: A New Way of Assessing Village Development Status," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    10. Wang, Feng & Wu, Min & Du, Xuyang, 2023. "Does industrial upgrading improve eco-efficiency? Evidence from China's industrial sector," Energy Economics, Elsevier, vol. 124(C).
    11. Hui Zhang & Yuyao Qian & Liying Yu & Zheng Wang, 2020. "Integrated Development of Information Technology and the Real Economy in China Based on Provincial Panel Data," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    12. Zhonglin Tang & Geng Sun & Min Fu & Chuanhao Wen & Anđelka Plenković-Moraj, 2019. "Research on the Industrial Energy Eco-Efficiency Evolution Characteristics of the Yangtze River Economic Belt in the Temporal and Spatial Dimension, China," IJERPH, MDPI, vol. 17(1), pages 1-17, December.
    13. Zhang, Chonghui & Jiang, Nanyue & Su, Tiantian & Chen, Ji & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Spreading knowledge and technology: Research efficiency at universities based on the three-stage MCDM-NRSDEA method with bootstrapping," Technology in Society, Elsevier, vol. 68(C).
    14. Barnabé Walheer, 2019. "Scale, congestion, and technical efficiency of European countries: a sector-based nonparametric approach," Empirical Economics, Springer, vol. 56(6), pages 2025-2078, June.

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