人工智能在工业中的应用能否减少中国的工业碳强度?
Sijia Tao1, Yanqiu Wang2,3, Yingnan Zhai1
1School of Economics and Management, Northeast Petroleum University, Daqing, 163318, China.
概括
工业智能,整合人工智能和生产,通过促进绿色创新,显著降低工业碳强度. 这项技术也使周边地区受益,在中国东部观察到的影响更大.
科学领域:
- 工业智能和人工智能在制造业中的应用.
- 环境科学和减少碳排放的战略.
背景情况:
- 工业碳强度仍然是可持续发展的关键挑战.
- 像工业智能这样的新兴技术为减少排放提供了新的解决方案.
研究的目的:
- 实证分析工业智能对中国工业碳强度的影响和空间效应.
- 调查工业智能影响碳排放的潜在机制.
主要方法:
- 利用来自中国的2006-2019年范围内的省级面板数据.
- 采用计量经济学分析来评估工业智能和工业碳强度之间的关系,并考虑空间效应和内源性.
主要成果:
- 在工业智能和工业碳强度之间发现了显著的反向关系.
- 工业智能通过推动绿色技术创新,促进工业碳强度的减少.
- 观察到空间溢出效应,工业智能减少了周边地区的强度.
结论:
- 工业智能是减少工业碳强度的可行途径.
- 政策干预应考虑工业情报有效性的区域差异.
- 这些发现为利用工业智能为绿色工业发展提供了经验基础.
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