Literature DB >> 33866185

Tracking sustainable development efficiency with human-environmental system relationship: An application of DPSIR and super efficiency SBM model.

Sufyan Ullah Khan1, Yu Cui2, Arshad Ahmad Khan3, Muhammad Abu Sufyan Ali4, Aftab Khan5, Xianli Xia6, Guobin Liu7, Minjuan Zhao8.   

Abstract

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.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Convergence; DPSIR-super efficiency SBM; Regional difference; Rural sustainable development efficiency; Yellow river basin

Year:  2021        PMID: 33866185     DOI: 10.1016/j.scitotenv.2021.146959

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Carbon emission efficiency measurement and influencing factor analysis of nine provinces in the Yellow River basin: based on SBM-DDF model and Tobit-CCD model.

Authors:  Yuan Zhang; Xiangyang Xu
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-13       Impact factor: 5.190

2.  Characteristics and Influencing Factors on the Hollowing of Traditional Villages-Taking 2645 Villages from the Chinese Traditional Village Catalogue (Batch 5) as an Example.

Authors:  Chunla Liu; Mei Xu
Journal:  Int J Environ Res Public Health       Date:  2021-12-03       Impact factor: 3.390

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.