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政策工具促进了中国的COVID-19工作恢复

Pengjun Zhao^1,2,3, Qiyang Liu^1,2, Tianyu Ma^1,2

¹School of Urban Planning and Design, Peking University, Shenzhen Graduate School, Shenzhen 518055, China.

Proceedings of the National Academy of Sciences of the United States of America

|October 2, 2023

概括

世界各地的政府实施了刺激计划,以促进COVID-19后劳动力重新调动. 考虑到当地能力和部门需求的定制战略对于有效的经济复苏和恢复工作至关重要.

科学领域:

经济学经济学经济学
公共政策公共政策
社会学社会学社会学

背景情况:

在全球范围内,各国政府采取了刺激措施,以应对COVID-19的衰退,并促进劳动力重新动员.
这些COVID-19后恢复策略的有效性尚不清楚,特别是在大规模恢复工作方面.

研究的目的:

分析影响COVID-19后中国大规模恢复工作的因素.
将恢复工作模式作为一种由能力,动机和政策工具影响的集体行为变化.

主要方法:

对一个大规模的县级数据集进行了定性比较分析.
分析包括3200万工人的人类流动轨迹数据和中国50万政策文件.

主要成果:

刺激措施的有效性在中国各县有很大差异,取决于财政能力,行政能力和政策动机.
地方财政和采购政策在批发,零售,酒店和餐饮行业更有效.
制造业和商业服务部门需要更有针对性的就业政策来恢复.

结论:

同时采用财政,就业和采购政策可能会阻碍COVID-19后恢复工作,如果县的能力有限或政策动机波动.
考虑到地方的行政和财政能力,以及特定的部门经济结构,量身定制的危机后复苏战略至关重要.

关键词:

在 COVID-19 疫情中,中国中国中国中国.雾行为模型政策工具政策工具恢复工作恢复工作.

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