Evidence map›Paper›PMID 36674331›Full record

ArticleInternational journal of environmental research and public health2023

Research on the Effect of Manufacturing Agglomeration on Green Use Efficiency of Industrial Land.

Yuan Wang, Anlu Zhang, Min Min, Ke Zhao, Weiyan Hu, Fude Qin

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yuan WangCollege of Public Administration, Huazhong Agriculture University, Wuhan 430070, China.
Anlu ZhangCollege of Public Administration, Huazhong Agriculture University, Wuhan 430070, China.
Min MinCollege of Public Administration, Huazhong Agriculture University, Wuhan 430070, China.
Ke ZhaoCollege of Public Administration, Huazhong Agriculture University, Wuhan 430070, China.
Weiyan HuCollege of Public Administration, Huazhong Agriculture University, Wuhan 430070, China.
Fude QinAeronautics and Intelligent Manufacturing College, Hankou University, Wuhan 430212, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Manufacturing agglomeration (MA) is an important way to achieve high-quality industrial development and promote land use efficiency in China. However, there is a lack of research on the relationship between MA and the green use efficiency of industrial land (GUEIL). Based on the panel data of 279 prefecture-level cities in China, from 2004 to 2019, this study analyzes the spatial and temporal differentiation characteristics of MA and GUEIL, then empirically analyzes the impact of MA on GUEIL. The results show that: (1) during the study period, the national MA levels showed a slight decline, followed by a small increase. In addition, the inter-regional differences are mainly characterized as eastern region > central region > northeast region > western region. (2) The national and regional GUEIL showed a trend of increasing, slightly decreasing, and then increasing again. The overall regional differences in efficiency show the characteristics of: eastern region > central region > western region > northeastern region. (3) At the national scale, MA had a “U-shaped” relationship with GUEIL; at the regional scale, MA had a significant “U-shaped” effect on GUEIL in the northeast, central and western regions, while having a single negative effect in the eastern region. Finally, this study provides suggestions for optimizing the manufacturing structure and improving the GUEIL.

Indexed as

CommerceIndustryChinaCitiesEconomic DevelopmentEfficiencygreen use efficiency of industrial landmanufacturing agglomerationSDM (spatial Durbin model)spatial and temporal differentiation characteristicsSuper-SBM (slacks-based measure)

Identifiers

PMID36674331
PMCPMC9861724

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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.