Evidence map›Paper›PMID 41927659›Full record

ArticleScientific reports2026

Research on industrial internet platforms empowering carbon emission efficiency improvement in manufacturing: based on digital technology availability.

Hao Qin, Haoda Shi, Haiwei Zhang, Dancheng Luo

Abstract read
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.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Hao QinSchool of Economics, Shenyang University of Technology, Shenyang, 110870, China.
Haoda ShiSchool of Economics, Shenyang University of Technology, Shenyang, 110870, China. haoda.shi@smail.sut.edu.cn.
Haiwei ZhangSchool of Information Engineering, Fushun Vocational Technology Institute, Fushun, 113122, China.
Dancheng LuoSchool of Economics, Shenyang University of Technology, Shenyang, 110870, China.

Funding

Research on the Mechanism and Path of Enabling Data Elements to Improve the Quality and Efficiency of Green Finance in Liaoning Province LJ112510142004
6 · The paper itself

Abstract

Against the background of carbon neutrality and sustainable manufacturing, manufacturing faces multiple challenges in improving carbon emission efficiency, with the integration of digital technology and industrial internet platforms as a key solution. Given the digital technology availability, this study focuses on the internal mechanism and dynamic decision-making issues of how the industrial internet platform can enhance the manufacturing carbon emission efficiency. This study has constructed a differential game model involving manufacturing enterprises, the government, and industrial internet platforms. This study incorporates random interfering factors. This method addresses the limitations of neglected external uncertainties and overly loose assumptions. The innovation enables the capture of stochastic disturbances in carbon emission systems, such as market fluctuations and policy adjustments. The realism of matching equilibrium strategies to the enhancement of manufacturing carbon emission efficiency is improved. The findings are as follows: (1) Carbon emission system benefit coefficient, operational cost coefficient, and compliance cost coefficient negatively impact game strategies, while digital technology maturity coefficient has a positive effect; (2) Government subsidies under intermediate dependence enhance the effort of enterprises and platforms, and advanced symbiosis achieves optimal effort of the three subjects and system efficiency through in-depth digital technology availability empowerment; (3) The advanced symbiotic decision-making mechanism model is regarded as the optimal embodiment and practical application of the digital technology availability theory. Reasonable benefit distribution can fully unleash the potential value of digital technology availability.

Indexed as

Carbon emission efficiencyDifferential game modelDigital technology availabilityIndustrial internet platforms

Identifiers

PMID41927659
PMCPMC13171959

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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.