Evidence map›Paper›PMID 35206667›Full record

ArticleInternational journal of environmental research and public health2022

Spatiotemporal Differentiation and Driving Force Analysis of the High-Quality Development of Urban Agglomerations along the Yellow River Basin.

Yu Chen, Qianqian Miao, Qian Zhou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  5. Article
  6. Evaluating Spatial Identity Based on Climate Adaptation in Small Cities.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yu ChenSchool of Economics and Management, Zhengzhou University of Light Industry, Science Avenue 136, Zhengzhou 450000, China.
Qianqian MiaoSchool of Economics and Management, Zhengzhou University of Light Industry, Science Avenue 136, Zhengzhou 450000, China.
Qian ZhouEconomics School, Zhongnan University of Economics and Law, Nanhu Avenue 182, Wuhan 430073, China.ORCID 0000-0002-2319-1095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ecological protection and high-quality development (HQD) of the Yellow River Basin (YRB) have been promoted as national strategies. An urban agglomeration is the basic unit of the YRB used to participate in international competitions. Taking seven urban agglomerations covering 70 cities along the YRB as the sample, this paper establishes a high-quality evaluation system and uses the entropy method and exploratory spatial data analysis (ESDA) to analyze the HQD levels of the seven urban agglomerations along the YRB from 2009 to 2018. In addition, geographically-weighted regression (GWR) is adopted to analyze the influencing factors. The results show that: (1) the gap in the HQD of the seven urban agglomerations gradually narrows, showing a spatial pattern of "high in the east, low in the west, and depression in the middle"; (2) the HQD levels of the seven urban agglomerations have a strong spatial correlation, and the patterns of cold and hot spots have not changed substantially, showing the spatial distribution of "hot in the east, cold in the west"; (3) the degree of influence of each driving factor on the HQD differs among the seven urban agglomerations. The order is as follows: industrial structure upgrading index > proportion of R&D expenditure > urbanization rate > internet penetration rate > proportion of urban construction area > proportion of days reaching the air standard. These findings show that advanced industrial structure and technology are the two core driving forces for the HQD of the urban agglomerations along the YRB.

Indexed as

RiversUrbanizationChinaCitiesSpatial AnalysisSpatial Regressiongeographically-weighted regression (GWR)high-quality development (HQD)spatiotemporal differentiationurban agglomerationsYellow River Basin (YRB)

Identifiers

PMID35206667
PMCPMC8877983

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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.