The Efficiency of Green Technology Innovation and Its Influencing Factors in Wastewater Treatment Companies

被引:6
|
作者
Xu, Xiaofeng [1 ,2 ,3 ]
Zhou, Qiang [1 ]
Chen, Xiangyu [1 ]
Li, Yiqi [1 ]
Jiang, Yiqiu [4 ]
机构
[1] East China Univ Polit Sci & Law, Int Sch Law & Finance, Shanghai 200042, Peoples R China
[2] East China Univ Polit Sci & Law, Legal Res Ctr Optimizing Doing Business Environm, Shanghai 200042, Peoples R China
[3] East China Univ Polit Sci & Law, Energy Law & Policy Inst, Shanghai 200042, Peoples R China
[4] Tongji Univ, Circular Econ Res Ctr, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
wastewater treatment; green technology innovation; Malmquist-DEA; vibrating membrane technology; MEMBRANE BIOREACTOR; TREATMENT PLANTS; CHINA; MBR; DEA; PERFORMANCE; INVESTMENT; OWNERSHIP; SYSTEMS;
D O I
10.3390/separations9100263
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
To achieve the harmonious development of economic growth and the environment, nations must pay more attention to wastewater treatment and boost efficiency using green technology. This study applies the Malmquist-DEA model to assess the efficiency of green technology innovation in 19 Chinese wastewater treatment companies between 2017 and 2020. In addition, focus is placed on the core wastewater treatment technology of the companies with excellent performance, indicating how wastewater treatment companies may improve their green technology. The results of the study indicate that, first, the overall effectiveness of green technology innovation in companies follows a rising and then decreasing trend. In 2020, wastewater treatment companies' green technology innovation efficiency was around 17.4 percent lower than in 2017. Improving technical progress is the key to boosting the total factor productivity of wastewater treatment companies. Second, based on the Tobit regression, the shareholding ratio of companies has a positive influence on the technical efficiency of companies. Therefore, China should increase innovation capacity and productivity, adopt current sewage treatment technology from overseas, and thus gradually achieve clean sewage utilization and ecological environment management.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Measurement of the innovation efficiency of the Hi-tech industry in China and its influencing factors
    Han S.
    Liu H.
    Lin Y.
    International Journal of Sustainable Development and Planning, 2020, 15 (03) : 277 - 286
  • [32] Research on Green Innovation Efficiency of ListedChinese Energy Companies Based on Triple Bottom Line
    Song, Zhimin
    Zhang, Na
    COMPLEXITY, 2020, 2020
  • [33] An Empirical Study on the Efficiency and Influencing Factors of the Photovoltaic Industry in China and an Analysis of Its Influencing Factors
    Cai, Hao
    Liang, Ling
    Tang, Jing
    Wang, Qianxian
    Wei, Lihong
    Xie, Jiaping
    SUSTAINABILITY, 2019, 11 (23)
  • [34] Green technology in wastewater treatment technologies: Integration of membrane bioreactor with various wastewater treatment systems
    Neoh, Chin Hong
    Noor, Zainura Zainon
    Mutamim, Noor Sabrina Ahmad
    Lim, Chi Kim
    CHEMICAL ENGINEERING JOURNAL, 2016, 283 : 582 - 594
  • [35] Environmental protection tax, management efficiency, and enterprise green technology innovation
    Zhou, Yang
    Su, Qian
    FINANCE RESEARCH LETTERS, 2025, 75
  • [36] Supply chain digitalization, green technology innovation and corporate energy efficiency
    Li, Zhiyi
    Hu, Boqiang
    Bao, Yifei
    Wang, Yifei
    ENERGY ECONOMICS, 2025, 142
  • [37] Port efficiency and its influencing factors in the context of Pilot Free Trade Zones
    Liu, Jiaguo
    Wang, Xiaoye
    Guo, Junyu
    TRANSPORT POLICY, 2021, 105 : 67 - 79
  • [38] Research on green innovation efficiency measurement and influencing factors in the three major coastal urban agglomerations in China
    Ying, Shuli
    Fang, Qiquan
    Ji, Yanting
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [39] Spatiotemporal pattern evolution and influencing factors of green innovation efficiency: A China?s city level analysis
    Wang, Ke-Liang
    Zhang, Fu-Qin
    Xu, Ru-Yu
    Miao, Zhuang
    Cheng, Yun-He
    Sun, Hua-Ping
    ECOLOGICAL INDICATORS, 2023, 146
  • [40] Theoretical framework for assessing construction enterprise green innovation efficiency and influencing factors: Evidence from China
    Li, Xingwei
    Liu, Xiang
    Huang, Yicheng
    Li, Jingru
    He, Jinrong
    ENVIRONMENTAL TECHNOLOGY & INNOVATION, 2023, 32