Advance Search
CHEN Xianshuai, XUE Yawei, ZHANG Jian. Empirical Study on Green Production Efficiency of Industrial Industry[J]. Journal of Anhui University of Technology（Social Sciences）, 2022, 39(1): 26-30. DOI: 10.3969/j.issn.1671-9247.2022.01.006
Citation: CHEN Xianshuai, XUE Yawei, ZHANG Jian. Empirical Study on Green Production Efficiency of Industrial Industry[J]. Journal of Anhui University of Technology（Social Sciences）, 2022, 39(1): 26-30. DOI: 10.3969/j.issn.1671-9247.2022.01.006
shu

Empirical Study on Green Production Efficiency of Industrial Industry

  • 1. School of Management Engineering, Qingdao University of Technology, Qingdao 266525, Shandong, China;

  • 2. Smart City Construction Management Research Center(New Think Tank), Qingdao University of Technology, Qingdao 266525, Shandong, China;

  • 3. Coastal Habitat Environment Academic Innovation Center, Qingdao University of Technology, Qingdao 266033, Shandong, China;

  • 4. School of Government Management, Central University of Finance and Economics, Beijing 100081, China

More Information
  • Received Date: June 24, 2021
  • Available Online: September 25, 2022
  • Published Date: February 27, 2022
    Graphical Abstract
    • Abstract
  • The green production efficiency evaluation index system of the industries is constructed. Based on the sample observation values of 38 industries, three types of industries with efficiency values of 1, 0.8, and less than 0.8 are divided, and pure technical efficiency analysis, scale efficiency analysis, and comprehensive technical efficiency analysis are carried out. The results show that the comprehensive technical efficiency of green production in five of the 38 industries is effective; the TE value of green production in 16 industries is less than 1, which is caused by the low PTE value; the main reason that the TE value of green production in 13 industries is less than 1 is the low SE value; the TE value of green production in four industries is less than 1 due to low SE and PTE values.
    • FullText(HTML)
    • References (26)
  • [1]
    刘建翠,郑世林.中国工业绿色发展的技术效率及其影响因素研究:基于投入产出表的分析[J].城市与环境研究,2019(3):37-54.
    [2]
    穆学英,刘凯,任建兰.中国绿色生产效率区域差异及空间格局演变[J].地理科学进展,2017,36(8):1006-1014.
    [3]
    ZHANG Z X. Impact of environmental regulation on industrial green efficiency:based on non-radial SBM Model//Journal of Physics:Conference Series.2020 International Conference on Mechanical Automation and Computer Engineering,2021.
    [4]
    齐丽芳.我国工业企业分行业的绿色技术创新效率及其影响因素研究[D].南昌:南昌大学,2018.
    [5]
    胡立和,商勇,王欢芳.工业绿色全要素生产率变化的实证分析:基于长江经济带11个省市的面板数据[J].湖南社会科学,2019(4):108-114.
    [6]
    杨晓娟.基于改进熵值-SBM模型的工业绿色技术创新效率评价研究[D].合肥:合肥工业大学,2020.
    [7]
    张彩霞,马春旺.区域工业绿色发展水平评价指标体系研究[J].统计与管理,2021,36(1):108-113.
    [8]
    徐薛飞,王丽丽,陈尚.不同技术创新形式在环境规制与工业绿色增长关系中的作用[J].科技进步与对策,2020,37(19):68-76.
    [9]
    全良,张敏,赵凤.中国工业绿色全要素生产率及其影响因素研究:基于全局SBM方向性距离函数及SYS-GMM模型[J].生态经济,2019,35(4):39-46.
    [10]
    庄远,吴正,刘戎.工业结构、空间溢出与绿色全要素生产率研究:以江苏省为例[J].资源与产业,2020,22(4):23-31.
    [11]
    姚悦.中国工业绿色生产绩效及节能减排目标对其影响研究[D].合肥:合肥工业大学,2019.
    [12]
    刘淑茹,贾箫扬,党继强.中国工业绿色全要素生产率测度及影响因素研究[J].生态经济,2020,36(11):46-53.
    [13]
    成琼文,贺显祥,李宝生.绿色技术创新效率及其影响因素:基于我国35个工业行业的实证研究[J].中南大学学报(社会科学版),2020,26(2):97-107.
    [14]
    胡绪华,陈默,朱程鹏.长江经济带绿色生产效率的测度及其影响因素分析[J].统计与决策,2020,36(16):77-81.
    [15]
    王曦莹.中国工业行业绿色技术创新效率测度及其收敛性分析[D].大连:东北财经大学,2019.
    [16]
    岳鸿飞,徐颖,周静.中国工业绿色全要素生产率及技术创新贡献测评[J].上海经济研究,2018(4):52-61.
    [17]
    WANG K L, PANG S Q, DING L L, et al. Combining the biennial Malmquist-Luenberger index and panel quantile regression to analyze the green total factor productivity of the industrial sector in China[J].Science of the Total Environment, 2020,739:140280.
    [18]
    韩晶.中国区域绿色创新效率研究[J].财经问题研究,2012(11):130-137.
    [19]
    陈娜,唐健.基于DEA模型的甘肃省工业企业技术创新效率评价[J].企业科技与发展,2020(6):13-16.
    [20]
    张江雪,朱磊.基于绿色增长的我国各地区工业企业技术创新效率研究[J].数量经济技术经济研究,2012,29(2):113-125.
    [21]
    赵立雨,苗思佳,吴婷.基于DEA-BCC与Malmquist的陕西省制造业绿色技术创新效率评价[J].未来与发展,2020,44(8):107-112.
    [22]
    韩孺眉,刘艳春.我国工业企业绿色技术创新效率评价研究[J].技术经济与管理研究,2017(5):53-57.
    [23]
    张鹏飞.基于SBM模型的中国工业效率评价[D].昆明:云南财经大学,2017.
    [24]
    刘梦华.浙江省企业技术创新效率评价研究[D].石家庄:河北地质大学,2017.
    [25]
    鲍力.基于两阶段的我国区域创新效率研究[D].杭州:浙江理工大学,2018.
    [26]
    刘嘉雯.基于DEA-Malmquist指数模型的湖南省装备制造企业技术创新效率研究[D].株洲:湖南工业大学,2018.
    • Related Articles

Catalog

    Get Citation
    PDF
    XML
    Article views (33) PDF downloads (3) Cited by()
    Turn off MathJax
    Article Contents
    Abstract
    References
    Copyright © 2020 Anhui University of Technology皖ICP备19010821 皖公网安备 34050302000234号
    Address：Hudong Road, Maanshan, AnhuiPostal Code：243002
    Tel：0555-2311674Email： xbskb@ahut.edu.cn
    Email Alert RSS

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return