数字化和智能化转型与节能和减排之间的非线性关系在中国
Qiqi Sun1, Siyan Liu2, Lili Feng3
1School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang, Hebei, China.
Scientific reports
|August 15, 2025
概括
制造业的数字智能转型显示了对能源消耗和碳排放的U形影响,区域差异很大. 这项研究为可持续制造实践和减排策略提供了洞察力.
科学领域:
- 工业生态学 工业生态学
- 环境经济学环境经济学
- 制造业 工程 制造工程
背景情况:
- 制造业的数字化转型引发了对环境影响的担忧.
- 现有的研究往往忽视了数字化转型与环境影响之间的非线性关系.
研究的目的:
- 分析制造业数字智能转型对中国能源消耗和碳排放的影响.
- 调查不同地区和数字化转型指标之间的异质效应.
主要方法:
- 为制造业 (数字化和智能化) 构建数字智能转型指数系统.
- 主要组件分析 (PCA) 的应用用于指数计算.
- 使用双向固定效应模型进行对能源消耗和碳排放的影响分析.
主要成果:
- 东部地区在制造业中表现出更高水平的数字智能转型.
- 数字智能转型与能源消耗和碳排放的规模/强度之间存在U形关系.
- 在数字智能转型和能源消耗结构之间观察到正线性关系.
结论:
- 制造业的数字智能转型对环境因素有着复杂的,非线性影响.
- 区域和指标特定的异质性对于理解能源和排放趋势至关重要.
- 调查结果为制造业节能和减排提供了定量基础和政策建议.
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