Smart Manufacturing Transformation: Research on Green Productivity and Energy Efficiency Optimization Strategies

This study integrates theoretical and practical perspectives to investigate the synergies between digital infrastructure and green development in new energy enterprises, aiming to unlock pollution-carbon reduction mechanisms for sustainable growth at both enterprise and national levels under dual pressures of economic quality enhancement and decarbonization. In methodological terms, this study employs a stratified sampling approach across 30 Chinese provinces, surveying 1,092 residents, new energy enterprise employees, and government personnel through field interviews and questionnaires. The analysis examines how new digital infrastructure drives multi-dimensional pollution-carbon reduction synergies in enterprises. Findings indicate broad public recognition of digital infrastructure's positive impact on emission reduction synergies. Furthermore, the research integrates enterprise-level emissions data with green finance and technological development indicators to model their mediating effects on these synergies. Finally, the study concludes based on survey and empirical analysis that, amid the new wave of information technology, there is growing recognition of digital infrastructure's critical role in carbon reduction. Specifically, the synergistic potential of new digital infrastructure in enabling pollution-carbon reduction for new energy enterprises is increasingly acknowledged and accepted.

Authors

Publication Details

Journal
Frontiers in Humanities and Social Sciences
Published
2025-04-18
DOI
https://doi.org/10.54691/kx12fy24
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

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article

Smart Manufacturing Transformation: Research on Green Productivity and Energy Efficiency Optimization Strategies

L.H. Chen, Qingqing Chen, Wenqi Peng, Xinyi Yang
Frontiers in Humanities and Social Sciences
Digital Transformation in Industry
article

Smart Manufacturing Transformation: Research on Green Productivity and Energy Efficiency Optimization Strategies

L.H. Chen, Qingqing Chen, Wenqi Peng, Xinyi Yang
article en

Abstract

This study integrates theoretical and practical perspectives to investigate the synergies between digital infrastructure and green development in new energy enterprises, aiming to unlock pollution-carbon reduction mechanisms for sustainable growth at both enterprise and national levels under dual pressures of economic quality enhancement and decarbonization. In methodological terms, this study employs a stratified sampling approach across 30 Chinese provinces, surveying 1,092 residents, new energy enterprise employees, and government personnel through field interviews and questionnaires. The analysis examines how new digital infrastructure drives multi-dimensional pollution-carbon reduction synergies in enterprises. Findings indicate broad public recognition of digital infrastructure's positive impact on emission reduction synergies. Furthermore, the research integrates enterprise-level emissions data with green finance and technological development indicators to model their mediating effects on these synergies. Finally, the study concludes based on survey and empirical analysis that, amid the new wave of information technology, there is growing recognition of digital infrastructure's critical role in carbon reduction. Specifically, the synergistic potential of new digital infrastructure in enabling pollution-carbon reduction for new energy enterprises is increasingly acknowledged and accepted.

Frontiers in Humanities and Social SciencesVol. 5(4)
Zhejiang Normal University, Jiangxi University of Finance and Economics, Wenzhou Municipal Science and Technology Bureau, Anhui Provincial Department of Education
Openalex Percentile: Top 90%
Digital Transformation in Industry
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Smart Manufacturing Transformation: Research on Green Productivity and Energy Efficiency Optimization Strategies — L.H. Chen, Qingqing Chen, et al. · Frontiers in Humanities and Social Sciences (2025) | TGRS Research Map | TGRS