Tracking sustainable development efficiency with human-environmental system relationship : An application of DPSIR and super efficiency SBM model
Copyright © 2021 Elsevier B.V. All rights reserved..
Sustainable development of the Yellow River Basin, China, has gained comprehensive realistic and academic attention as a significant part of high-quality development. Current study used the 30 years (1997-2017) panel data of 9 provinces and constructed Drivers, Pressure, State, Impact and Response analysis framework and super efficiency Slack-Based Measure (DPSIR-SBM) model to evaluate rural sustainable development efficiency (RSDE). For the reason, the convergence, divergence and their influencing factors are discussed from three aspects, which are σ convergence, absolute β convergence and conditional β convergence. The research findings revealed that the RSDE in yellow river basin display a fluctuating downward pattern per an average decrease rate of 0.03%, while regional differences exist in three sub-basins. The upper and lower basins display a fluctuating upward pattern, whereas the middle basin present a fluctuating downward pattern. Moreover, regional differences were also observed from the average RSDE, followed by the spatial pattern of "upper basin > lower basin > middle basin". σ convergence exist in the whole basin as well as in its upper basin, while absolute β convergence exists in the whole basin and in the lower basin, and there exists conditional β convergence in the whole as well as in all the three sub-basins. Initial RSDE, planting structure, financial autonomy rate and mechanization level inhibit the improvement of RSDE, while urbanization level and rural GDP per capita have negative and non-significant impact on RSDE of the whole basin.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:783 |
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| Enthalten in: |
The Science of the total environment - 783(2021) vom: 20. Aug., Seite 146959 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Khan, Sufyan Ullah [VerfasserIn] |
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| Links: |
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| Themen: |
Convergence |
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| Anmerkungen: |
Date Completed 02.06.2021 Date Revised 02.06.2021 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.scitotenv.2021.146959 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM324208596 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2021 Elsevier B.V. All rights reserved. | ||
| 520 | |a Sustainable development of the Yellow River Basin, China, has gained comprehensive realistic and academic attention as a significant part of high-quality development. Current study used the 30 years (1997-2017) panel data of 9 provinces and constructed Drivers, Pressure, State, Impact and Response analysis framework and super efficiency Slack-Based Measure (DPSIR-SBM) model to evaluate rural sustainable development efficiency (RSDE). For the reason, the convergence, divergence and their influencing factors are discussed from three aspects, which are σ convergence, absolute β convergence and conditional β convergence. The research findings revealed that the RSDE in yellow river basin display a fluctuating downward pattern per an average decrease rate of 0.03%, while regional differences exist in three sub-basins. The upper and lower basins display a fluctuating upward pattern, whereas the middle basin present a fluctuating downward pattern. Moreover, regional differences were also observed from the average RSDE, followed by the spatial pattern of "upper basin > lower basin > middle basin". σ convergence exist in the whole basin as well as in its upper basin, while absolute β convergence exists in the whole basin and in the lower basin, and there exists conditional β convergence in the whole as well as in all the three sub-basins. Initial RSDE, planting structure, financial autonomy rate and mechanization level inhibit the improvement of RSDE, while urbanization level and rural GDP per capita have negative and non-significant impact on RSDE of the whole basin | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Convergence | |
| 650 | 4 | |a DPSIR-super efficiency SBM | |
| 650 | 4 | |a Regional difference | |
| 650 | 4 | |a Rural sustainable development efficiency | |
| 650 | 4 | |a Yellow river basin | |
| 700 | 1 | |a Cui, Yu |e verfasserin |4 aut | |
| 700 | 1 | |a Khan, Arshad Ahmad |e verfasserin |4 aut | |
| 700 | 1 | |a Ali, Muhammad Abu Sufyan |e verfasserin |4 aut | |
| 700 | 1 | |a Khan, Aftab |e verfasserin |4 aut | |
| 700 | 1 | |a Xia, Xianli |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Guobin |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Minjuan |e verfasserin |4 aut | |
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