Evidence map›Paper›PMID 39640691›Full record

ArticleHeliyon2024

Comprehensive evaluation of rural entrepreneurial environment based on Pressure-State-Response model -evidence from China.

Bin Gao, Naiwen Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
–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

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

2 authors.

Bin GaoSchool of Business Administration, Shandong Women's University, Jinan, China.
Naiwen ZhangSchool of Tourism, Shandong Women's University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The study of rural entrepreneurial environment is one of the key issues in rural entrepreneurship research.The rural entrepreneurship environment plays a key role in increasing the success rate of farmers' entrepreneurship and promoting their employment. Scientific evaluation of the rural entrepreneurial environment is important for governments to formulate relevant policies and optimize the rural entrepreneurial environment. Methods and results: This paper constructs a rural entrepreneurship environment evaluation index system based on PSR (Pressure-State-Response) model.The entropy Weight-TOPSIS method was used to measure the rural entrepreneurship environment in 30 provinces in China, the Gini coefficient was used to explore the regional differences, and the barrier degree model was used to diagnose the barrier factors. The results of the study show that: China's rural entrepreneurship environment has a ladder, the rural entrepreneurship environment is divided into four tiers, Guizhou is in the leading tiers, Shandong and other 13 provinces are in the challenging tiers, Inner Mongolia and other 11 provinces are in the catching-up tiers, and Hainan and other 5 provinces are in the improving tiers. Provincial differences are large, and the regional rural entrepreneurship environment is obviously unbalanced. Conclusion: This paper applies the PSR ("Pressure State Response") model to rural entrepreneurship environment evaluation, analyzes the relationship between the indicators according to the relationship structure of the sub-models in the model, and provides a theoretical basis for the rural entrepreneurship environment evaluation system and scientific evaluation. The rural entrepreneurship evaluation index system is regarded as an ecosystem, and the nonlinear effect between the elements is considered.

Indexed as

Comprehensive evaluationPSR (pressure-state-response) modelRural entrepreneurial environmentWeight-TOPSIS

Identifiers

PMID39640691
PMCPMC11620226

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.