Evidence map›Paper›PMID 34791628›Full record

ArticleEnvironmental science and pollution research international2022

Data-driven analysis and evaluation of regional agriculture for high-quality development of Anhui Province in the Yangtze River Delta.

Fan Liu, Cui Wang, Yingyan Zhang, Shuling Zhou, Yaliu Yang, Xue Wu, Fagang Hu, Conghu Liu

Erratum issuedAbstract read
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In one paragraph

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. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Fan LiuBusiness School, Suzhou University, Suzhou, 234000, China. 473394488@qq.com.ORCID http://orcid.org/0000-0002-9277-6070
Cui WangBusiness School, Suzhou University, Suzhou, 234000, China.
Yingyan ZhangBusiness School, Suzhou University, Suzhou, 234000, China.
Shuling ZhouBusiness School, Suzhou University, Suzhou, 234000, China.
Yaliu YangBusiness School, Suzhou University, Suzhou, 234000, China.
Xue WuBusiness School, Suzhou University, Suzhou, 234000, China.
Fagang HuBusiness School, Suzhou University, Suzhou, 234000, China.
Conghu LiuBusiness School, Suzhou University, Suzhou, 234000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to promote the high-quality development of regional agriculture. This study proposes a data-driven method for regional agricultural analysis and evaluation. Based on the data collection and processing related to regional agricultural development, the location entropy index was used to analyze the industrial agglomeration level, and the shift-share model was constructed to evaluate the industrial structure and competitiveness. Based on the above analysis and evaluation, high-quality development policy suggestions for regional agriculture were provided. Taking the agricultural development of the Yangtze River Delta from 2010 to 2019 as an example, this study shows the implementation process of the method. From the perspective of high-quality agricultural development in the Anhui Province, this paper proposes policy suggestions on industrial structure adjustment and promoting competitiveness. This study provides theoretical and methodological support for the development of high-quality regional agriculture.

Indexed as

AgricultureRiversChinaIndustryPolicyAgricultureCompetitive powerData-drivenHigh-quality developmentLevel of industrial agglomeration

Identifiers

PMID34791628

What OpenQuestion holds

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Registered trials

None linked

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.