Evidence map›Paper›PMID 42380453›Full record

ArticleScientific reports2026

Research on the decision-making of high-tech manufacturing enterprises for energy conservation and emission reduction driven by industrial green microgrids under the green credit regulatory system.

Hao Qin, Xiao Zhong, Maidina Aihemaiti, Haiwei Zhang, Zhongping Cui, Yuanlei Chen

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hao QinSchool of Economics, Shenyang University of Technology, Shenyang, China. qh2024@sut.edu.cn.
Xiao ZhongSchool of Economics, Shenyang University of Technology, Shenyang, China.
Maidina AihemaitiSchool of Economics, Shenyang University of Technology, Shenyang, China.
Haiwei ZhangSchool of Information Engineering, Fushun Vocational Technology Institute, Fushun, China.
Zhongping CuiSchool of Management, Shenyang University of Technology, Shenyang, China.
Yuanlei ChenSchool of Economics, HeBei University, HeBei, China.

Funding

2025 Liaoning Provincial Department of Education Project LJ112510142004
6 · The paper itself

Abstract

Under the circumstances where the green credit regulatory system has been implemented and the large-scale application of industrial green microgrids has occurred, the institutional constraints and clean energy technologies jointly reshape the emission reduction choices of high-tech manufacturing enterprises. This study constructs an evolutionary game model involving the government, research and development institutions, and high-tech manufacturing enterprises. Through this model, the stable equilibrium of the system's evolution is sought, and the evolution patterns of key parameters are explored through numerical simulation. The conclusions are as follows: (1) The various input costs of the three parties constitute the threshold for emission reduction costs. The increase in costs significantly hinders green behaviors such as supervision, research and development, and active emission reduction. (2) Market-based benefits serve as the intrinsic driving force for collaborative emission reduction. The increase in technology transfer benefits and the improvement in enterprises' green operation benefits can lead to a spontaneous shift towards a low-carbon economy. (3) The government's policy tools exhibit differentiated effects, and research subsidies facilitate the breakthroughs in green microgrids technology. Excessive rewards can lead to a policy-dependent situation within the enterprise. Appropriate fines can rely on green credit constraints to compel enterprises to comply with emission reduction regulations. This study fills the analytical gap regarding the technical supply side in multi-party collaborative emission reduction. The conclusions provide a theoretical basis and practical reference for improving the collaborative emission reduction system, promoting the green transformation of high-tech manufacturing enterprises, and facilitating regional green and low-carbon development.

Identifiers

PMID42380453
PMCPMC13473112

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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.