采用智能供应链和城市能源转型:关于脱效应的实证证据
Xiaoran Yang1, Wensheng Wang1, Mengmeng Yu2
1School of Management, China University of Mining and Technology-Beijing, Beijing, 100083, China.
Journal of environmental management
|June 27, 2025
概括
智能供应链通过减少对煤炭的依赖来优化城市能源结构. 这项创新促进了绿色技术和工业升级,为中国城市提供了可持续的道路.
科学领域:
- 城市规划和能源系统分析.
- 数字化转型和经济政策.
- 环境科学与可持续发展.
背景情况:
- 煤炭仍然是中国城市的主要能源,给环境和经济带来了重大挑战.
- 优化城市能源消耗结构对于可持续发展和减少污染至关重要.
- 智能供应链提供了一种新的方法,将数字技术与实体经济相结合,以提高能源效率.
研究的目的:
- 系统地检查智能供应链对中国城市能源消费结构的影响.
- 确定智能供应链影响城市能源配置文件的机制.
- 为决策者提供关于利用智能供应链为能源转型提供经验证据.
主要方法:
- 利用基于中国县级城市 (2012-2022) 数据的准自然实验方法.
- 分析供应链创新和试点计划对能源消费模式的影响.
- 采用机制分析来探索智能供应链影响的途径.
主要成果:
- 智能供应链显著优化城市能源消耗结构,减少煤炭的比例.
- 在资源依赖程度较低,资源诅咒效应较弱的城市,积极影响更为明显.
- 智能供应链通过加强绿色技术创新和工业结构升级来推动优化.
结论:
- 智能供应链在优化城市能源结构和减少对煤炭的依赖方面显示出相当大的潜力.
- 这些发现为制定旨在实现可持续城市能源转型的政策提供了强有力的经验基础.
- 实施智能供应链战略可以加速城市的绿色发展和工业现代化.
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