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

Key findings from this study

This research indicates that:

• Carbon emission costs and compliance expenses negatively influence stakeholder strategic decisions, while digital technology maturity positively affects enterprise and platform effort levels.
• Government subsidies calibrated to intermediate dependence levels enhance both enterprise and platform commitment more effectively than extreme subsidy regimes.
• Advanced symbiotic decision-making mechanisms achieve optimal effort and system efficiency when grounded in digital technology availability theory and structured benefit distribution.

Overview

This research constructs a differential game model incorporating manufacturing enterprises, government, and industrial internet platforms to examine how digital technology availability mechanisms enhance carbon emission efficiency in manufacturing. The model addresses external uncertainties through stochastic disturbances, improving alignment between equilibrium strategies and carbon emission efficiency outcomes.

Methods and approach

The study developed a differential game framework that captures random interfering factors affecting carbon emission systems. This approach incorporates market fluctuations and policy adjustments as stochastic variables, extending beyond conventional models with fixed assumptions. The framework evaluates interactions among three stakeholders: manufacturing enterprises, governmental bodies, and industrial internet platform operators.

Results

Four key parametric relationships emerged from the model. Carbon emission system benefit coefficient, operational cost coefficient, and compliance cost coefficient each negatively influence game strategies across stakeholders. Conversely, digital technology maturity coefficient exerts positive effects on strategic decisions. Government subsidy structures at intermediate dependence levels enhance both enterprise and platform efforts, with advanced symbiotic mechanisms enabling optimal collective effort and system efficiency. The advanced symbiotic decision-making model represents practical application of digital technology availability theory, with benefit distribution mechanisms capable of maximizing the latent value embedded in technology accessibility.

Implications

These findings establish differential game modeling as a methodological approach for analyzing multi-stakeholder carbon efficiency systems under uncertainty. The results suggest policymakers should calibrate subsidy mechanisms to intermediate dependence levels to activate optimal enterprise and platform engagement. Benefit distribution frameworks require deliberate design to unlock technology availability's full potential within manufacturing contexts. The study contributes theoretical grounding for understanding how digital technology integration addresses carbon neutrality objectives in industrial settings.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.