Evidence map›Paper›PMID 37064471›Full record

ArticleHeliyon2023

Behavioural strategies of manufacturing firms for high-quality development from the perspective of government participation: A three-part evolutionary game analysis.

Jinfa Shi, Yongqiang Su

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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.

Jinfa ShiSchool of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
Yongqiang SuSchool of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-quality development of the manufacturing industry is not only a requirement of industrial transformation and upgrading but also an internal task for the sustainable development of manufacturing enterprises. The high-quality development of the manufacturing industry is a process of multi-participation and dynamic evolution. To understand the evolution of the high-quality development of the manufacturing industry, an evolutionary game model composed of local governments, leading enterprises, and following enterprises is constructed. The evolution process and the influence of internal factors such as innovation capability, organization construction and industry resources on the evolution and stability strategy are analysed. MATLAB software is used to perform numerical simulations. The results show that (1) there are two possible evolutionary stability strategy (ESS) models in the game, namely, {active supervision, positive participation, positive participation} and {active supervision, negative participation, negative participation}; (2) when the initial probabilities of leading and following enterprises are all at low levels, increasing any one of the local government's initial probability, innovation capability, organization construction and industry resources can promote tripartite evolution towards {active supervision, positive participation, positive participation}; and (3) the convergence rate of leading enterprises and following enterprises evolving towards a positive participation strategy will increase slightly with an increase in local government's initial probability, innovation capability, organization construction, and industry resources when both are at middle initial probability levels. The final policy suggestions can be used to help all parties choose the optimal strategy and to achieve the high-quality development target of the manufacturing industry as soon as possible.

Indexed as

Evolutionary gameFollowing enterprisesHigh-quality developmentLeading enterprisesLocal governmentManufacturing industry

Identifiers

PMID37064471
PMCPMC10102444

What OpenQuestion holds

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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.