Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model
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 su...
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ftmdpi:oai:mdpi.com:/1660-4601/18/11/6097/ 2023-08-20T04:08:45+02:00 Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model Shuaiyu Yao Mengmeng Chen Dmitri Muravev Wendi Ouyang agris 2021-06-05 application/pdf https://doi.org/10.3390/ijerph18116097 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/ijerph18116097 https://creativecommons.org/licenses/by/4.0/ International Journal of Environmental Research and Public Health; Volume 18; Issue 11; Pages: 6097 eco-efficiency Northern Sea Route Russian cities epsilon-based measure data envelopment analysis Text 2021 ftmdpi https://doi.org/10.3390/ijerph18116097 2023-08-01T01:53:22Z 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. Text Northern Sea Route Provideniya MDPI Open Access Publishing Nadym ENVELOPE(72.517,72.517,65.533,65.533) Provideniya ENVELOPE(-173.233,-173.233,64.417,64.417) Urengoy ENVELOPE(78.437,78.437,65.960,65.960) International Journal of Environmental Research and Public Health 18 11 6097 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
eco-efficiency Northern Sea Route Russian cities epsilon-based measure data envelopment analysis |
spellingShingle |
eco-efficiency Northern Sea Route Russian cities epsilon-based measure data envelopment analysis Shuaiyu Yao Mengmeng Chen Dmitri Muravev Wendi Ouyang Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model |
topic_facet |
eco-efficiency Northern Sea Route Russian cities epsilon-based measure data envelopment analysis |
description |
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. |
format |
Text |
author |
Shuaiyu Yao Mengmeng Chen Dmitri Muravev Wendi Ouyang |
author_facet |
Shuaiyu Yao Mengmeng Chen Dmitri Muravev Wendi Ouyang |
author_sort |
Shuaiyu Yao |
title |
Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model |
title_short |
Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model |
title_full |
Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model |
title_fullStr |
Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model |
title_full_unstemmed |
Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model |
title_sort |
eco-efficiency analysis for the russian cities along the northern sea route: a data envelopment analysis approach using an epsilon-based measure model |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/ijerph18116097 |
op_coverage |
agris |
long_lat |
ENVELOPE(72.517,72.517,65.533,65.533) ENVELOPE(-173.233,-173.233,64.417,64.417) ENVELOPE(78.437,78.437,65.960,65.960) |
geographic |
Nadym Provideniya Urengoy |
geographic_facet |
Nadym Provideniya Urengoy |
genre |
Northern Sea Route Provideniya |
genre_facet |
Northern Sea Route Provideniya |
op_source |
International Journal of Environmental Research and Public Health; Volume 18; Issue 11; Pages: 6097 |
op_relation |
https://dx.doi.org/10.3390/ijerph18116097 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/ijerph18116097 |
container_title |
International Journal of Environmental Research and Public Health |
container_volume |
18 |
container_issue |
11 |
container_start_page |
6097 |
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1774721230427914240 |