Evidence map›Paper›PMID 35113377›Full record

ArticleEnvironmental science and pollution research international2022

Spatiotemporal characteristics and influencing factors of urban resilience efficiency in the Yangtze River Economic Belt, China.

Yingzi Lin, Chong Peng, Jianfeng Shu, Wei Zhai, Jianquan Cheng

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang.International journal of environmental research and public health · 2023
    Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yingzi LinSchool of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, 430074, China.
Chong PengSchool of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, 430074, China. pengchong@hust.edu.cn.
Jianfeng ShuSchool of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, 430074, China.
Wei ZhaiDepartment of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Jianquan ChengDepartment of Natural Sciences, Manchester Metropolitan University, Manchester, M1 5GD, UK.

Funding

National Natural Science Foundation of China 51778253
6 · The paper itself

Abstract

Urban resilience efficiency is an important indicator to explore the relationship between resource consumption and urban resilience, shedding new light on the study of urban sustainable development. Based on the panel data of 2008, 2012, and 2017, this paper makes a spatiotemporal assessment on the urban resilience efficiency of 126 cities in the Yangtze River Economic Belt (YREB) in China by applying an entropy weight-TOPSIS method and a slack-based measure (SBM) model. Combined with the analysis of a geographically weighted regression model (GWR), the influencing factors on resilience efficiency are also investigated. The results show that both the resource consumption index (RC, inputs) and the urban resilience index (UR, outputs) presented a steady upward trend, and their spatial distribution characteristics were similar, showing a gradual decrease from the eastern coastal cities to the central and western inland cities. Derived from inputs and outputs, the mean values of resilience efficiency index (RE) in three periods were 0.3149, 0.2906, and 0.1625, respectively, revealing that there had been a noticeable decline. Spatially, its spatial distribution has evolved from a relatively balanced pattern to an unbalanced one, showing a gradual decrease from west to east. The results of the GWR model analysis indicate that the total electricity consumption and area of construction land had a considerable correlation with the overall urban resilience of the YREB. Furthermore, total quantity of water supply and science and technology (S&T) expenditure continued to be the main driving factors on urban resilience of the upstream cities. The midstream regions mainly depended on the scale of construction land, and the influencing factors are relatively single. The influencing factors in the downstream areas have changed from dominance of resources and capital factors to the single dominance of resource factors, and total electricity consumption had a strong explanatory power. Based on these findings, we had put forward the overall and local regional policy implications.

Indexed as

Economic DevelopmentRiversChinaCitiesEfficiencyEntropy weight-TOPSIS methodEvaluationGWR modelInfluencing factorsResilience efficiencySBM modelUrban resilienceYangtze River Economic Belt

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.