Influencing Factors of the Digital Economy on the Green Development of China’s Manufacturing Industry

This research investigates the effects of IoT adoption along with AI integration in the digital economy on China's manufacturing industry's green development path. Statistics on secondary data show IoT implementation leads to dramatic reductions in both CO? emissions and energy usage, yet AI systems produce modest improvements in the same areas. Regression analysis results, together with Pearson correlation statistics, show digital technologies have fundamental transformative power for sustainable manufacturing. The study uses secondary data while recommending policy developments such as IoT infrastructure spending and technology efficiency promotion. The findings support China’s objective to reach net-zero carbon emissions by 2060 while creating an approach foutilisingng digital solutions for worldwide sustainability efforts. Subsequent studies need to analyze specific industrial effects.

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Publication Details

Journal
International Journal of Academic Research in Business and Social Sciences
Published
2025-11-19
DOI
https://doi.org/10.6007/ijarbss/v15-i11/26992
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

Influencing Factors of the Digital Economy on the Green Development of China’s Manufacturing Industry

Roziana Baharin, Yi Zheng
International Journal of Academic Research in Business and Social Sciences
Energy, Environment, Economic Growth
article

Influencing Factors of the Digital Economy on the Green Development of China’s Manufacturing Industry

Roziana Baharin, Yi Zheng
article en

Abstract

This research investigates the effects of IoT adoption along with AI integration in the digital economy on China's manufacturing industry's green development path. Statistics on secondary data show IoT implementation leads to dramatic reductions in both CO? emissions and energy usage, yet AI systems produce modest improvements in the same areas. Regression analysis results, together with Pearson correlation statistics, show digital technologies have fundamental transformative power for sustainable manufacturing. The study uses secondary data while recommending policy developments such as IoT infrastructure spending and technology efficiency promotion. The findings support China’s objective to reach net-zero carbon emissions by 2060 while creating an approach foutilisingng digital solutions for worldwide sustainability efforts. Subsequent studies need to analyze specific industrial effects.

International Journal of Academic Research in Business and Social SciencesVol. 15(11)
Openalex Percentile: Top 57%
Energy, Environment, Economic Growth
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Influencing Factors of the Digital Economy on the Green Development of China’s Manufacturing Industry — Roziana Baharin, Yi Zheng · International Journal of Academic Research in Business and Social Sciences (2025) | TGRS Research Map | TGRS