Evidence map›Paper›PMID 36972225›Full record

ArticlePloS one2023

Digital inclusive finance & the high-quality agricultural development: Prevalence of regional heterogeneity in rural China.

Hanjin Li, Yang Shi, Jianxin Zhang, Zhenkun Zhang, Zhaosen Zhang, Maogang Gong

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Hanjin LiCollege of Economics, Shandong University of Technology, Shandong, China.
Yang ShiCollege of Economics, Shandong University of Technology, Shandong, China.
Jianxin ZhangCollege of Economics, Shandong University of Technology, Shandong, China.
Zhenkun ZhangCollege of Economics, Shandong University of Technology, Shandong, China.
Zhaosen ZhangCollege of Economics, Shandong University of Technology, Shandong, China.
Maogang GongCollege of Economics, Shandong University of Technology, Shandong, China.ORCID 0000-0003-0331-1616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing digital inclusive finance is one of the most effective ways to alleviate financial exclusion in the agriculture sector. For empirical investigation, data from 30 provinces of Rural China is collected from the period 2011 to 2020. The study constructs five dimensions and 22 indicators in total to critically conduct the impact of digital inclusive finance on high-quality agricultural development. The level of agricultural development is measured by entropy weight TOPSIS, and the impact of digital inclusive finance on its high-quality development is empirically tested. The results show that digital inclusive finance has significantly improved the agricultural sector and, particularly, the Eastern region of China has the greatest impact. Three dimensions of digital inclusion finance have regional heterogeneity in terms of impact on agricultural development in Rural China. Data does not show the simple linear relationship between digital inclusion finance and agricultural development quality. The impact of the former on the latter is characterized by the double thresholds. The digital inclusive finance index is the weakest when it is lower than the first threshold that is 4.7704, and the impact of the second threshold that is 5.3186 on high-quality agricultural development is gradually enhanced. After crossing the second threshold, the impact of digital inclusive finance on high-quality agricultural development in Rural China is significantly enhanced. The development of digital inclusive finance should be strengthened in the Central and Western regions to compensate for regional financial imbalances and promote synergy in the high-quality development of agriculture across the country.

Indexed as

AgricultureFingersChinaEconomic DevelopmentEntropyPrevalence

Identifiers

PMID36972225
PMCPMC10042377

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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.