教师个人主页

姚帅寓

  • 教师英文名称: Alvin Yao
  • 教师拼音名称: Yao Shuaiyu
  • 电子邮箱:
  • 学历: 博士研究生毕业
  • 主要任职: 助理研究员
  • 毕业院校: 曼彻斯特大学
  • 学科:系统工程
访问量:0000019036

开通时间:..

最后更新时间:..

Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model

点击次数:

影响因子:4.614

DOI码:10.3390/ijerph18116097

发表刊物:International Journal of Environmental Research and Public Health

刊物所在地:SWITZERLAND

关键字:Eco-efficiency; Northern Sea Route; Russian cities; Epsilon-based measure; Data envelopment analysis

摘要:In this paper, an eco-efficiency analysis is conducted using the epsilon-based measure data envelopment analysis (EBM-DEA) model for Russian cities along the Northern Sea Route (NSR). The EBM-DEA model includes five input variables: population, capital, public investment, water supply, and energy supply and four output variables: gross regional product (GRP), greenhouse gas (GHG) emissions, solid waste, and water pollution. The pattern of eco-efficiency of 28 Russian cities along the NSR is empirically analyzed based on the associated real data across the years from 2010 to 2019. The empirical results obtained from the analysis show that St. Petersburg, Provideniya, Nadym, N. Urengoy, and Noyabrsk are eco-efficient throughout the 10 years. The results also indicate that the cities along the central section of the NSR are generally more eco-efficient than those along other sections, and the cities with higher level of GRPs per capita have relatively higher eco-efficiency with a few exceptions. The study provides deeper insights into the causes of disparity in eco-efficiency, and gives further implications on eco-efficiency improvement strategies. The contributions of this study lie in the fact that new variables are taken into account and new modeling techniques are employed for the assessment of the eco-efficiency of the Russian cities.

论文类型:期刊论文

论文编号:6097

学科门类:管理学

文献类型:J

卷号:18

期号:11

ISSN号:1661-7827

是否译文:

发表时间:2021-06-05

收录刊物:SCI(E)

发布期刊链接:https://www.mdpi.com/1660-4601/18/11/6097