评估工业智能对城市碳排放绩效的影响:来自中国的证据
Chenglin Tu1,2, Chuanxiang Zang1, Anqi Wu3
1School of Management, Guangzhou University, University Town Outer Ring West Road 230, 510006, Guangzhou, China.
Heliyon
|May 23, 2024
概括
智能工业的采用显著提高了当地碳排放性能,并对周边地区产生负面影响. 这项技术影响了生产性服务集群,有助于绿色发展战略.
科学领域:
- 环境科学与政策 环境科学与政策
- 城市研究与规划
- 工业经济学 工业经济学
背景情况:
- 越来越重视可持续发展和环境改善.
- 越来越多地采用智能工业来减少碳排放.
- 现有的研究忽视了城市碳排放的空间溢出效应和工业智能机制.
研究的目的:
- 检查工业智能对城市碳排放绩效的直接影响,空间溢出效应和机制.
- 通过结合空间维度和深入的机制分析来解决先前研究的局限性.
主要方法:
- 利用了2008-2019年间中国238个城市的平衡面板数据.
- 采用空间溢出分析和机制分析来评估影响.
- 进行了内源性和强度测试以验证发现.
主要成果:
- 在工业智能方面,1%的改进导致当地碳排放性能2.747%的提高.
- 工业智能对周边地区的碳排放性能产生了显著的负面空间溢出效应.
- 这种影响在东部,资源依赖和普通县级城市更为显著.
结论:
- 工业智能通过生产性服务集群对当地和周围城市碳排放表现产生积极影响,并产生负面影响.
- 这些发现为工业智能的碳减排潜力提供了新的视角.
- 有助于制定工业升级和绿色发展的政策.
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