Evidence map›Paper›PMID 31430942›Full record

ArticleInternational journal of environmental research and public health2019

Evolution of the Physical and Social Spaces of 'Village Resettlement Communities' from the Production of Space Perspective: A Case Study of Qunyi Community in Kunshan.

Lei Zhou, Liyang Xiong

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

2 authors.

Lei ZhouSchool of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China.
Liyang XiongSchool of Geography, Nanjing Normal University, Nanjing 210023, China. xiongliyang@njnu.edu.cn.ORCID 0000-0001-7930-3319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Village resettlement communities (VRCs) are a special type of urban community that the government has promoted considerably during China's rapid urbanization. This study uses the theory of the production of space as a basis to explore the processes and mechanisms of the physical and social space evolution of VRCs through a case study of Qunyi Community, one of the largest VRCs in Kunshan. Questionnaires and semi-structured interviews were employed in this study. Results indicate that the coupling relationship between local government power and diversified capital is the fundamental reason that promotes the production of macrophysical space. Moreover, the economic and social relationships among residents promote the reproduction of microsocial space. Landless farmers are the most important spatial producers in the microsocial space. The individual needs and cultural differences of immigrant workers also have significant effects on microspatial production. Furthermore, the production and reproduction of the physical and social spaces, respectively, of VRCs deduce the adjustment relationship among the urbanization processes of land, population, and individuals. Results also indicate that the urbanization of individuals appears to lag behind the previous two processes. This study can provide a theoretical basis for the spatial renovation and management optimization of VRCs, as well as the promotion of a new type of "people-centered" urbanization.

Indexed as

City PlanningEmigration and ImmigrationEnvironment DesignSocial EnvironmentUrbanizationChinaDeveloping CountriesEmploymentHumansLocal GovernmentPower, PsychologicalSocial CapitalSocial ClassSurveys and QuestionnairescapitalKunshanpowerproduction of spacesocial classvillage resettlement community

Identifiers

PMID31430942
PMCPMC6720272

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Registered trials

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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.