Kumar Himangshu, Nataraj Manikantha, Kundu Srikanta
Centre for Development Studies, Thiruvananthapuram, India.
Eur J Dev Res. 2022;34(5):2463-2492. doi: 10.1057/s41287-021-00463-4. Epub 2021 Sep 15.
In response to the rapidly spreading COVID-19 pandemic, governments resorted to containment and closure measures to reduce population mobility and ensure social distancing. Initially, India's state governments enacted varying social-distancing policies until the Central government overrode states to impose a nationwide lockdown on 24th March. This paper examines the relative impact of state- and central-level social-distancing policies on changes in mobility, comparing the periods before and after the national lockdown. A district-level panel dataset is formed, compiling data on social-distancing policies and changes in population mobility patterns. Panel regressions reveal that the incremental effect of each social-distancing policy varied across states in the pre-24th March period. The national lockdown led to much larger, though varying, reductions in mobility across all states. Overall, states which were able to achieve higher compliance in terms of reducing mobility in the pre-lockdown phase performed better in the national lockdown.
The online version contains supplementary material available at 10.1057/s41287-021-00463-4.
为应对迅速蔓延的新冠疫情，各国政府采取了封锁和封闭措施，以减少人员流动并确保社交距离。最初，印度各邦政府制定了不同的社交距离政策，直到中央政府凌驾于各邦之上，于3月24日实施全国封锁。本文研究了邦级和中央级社交距离政策对人员流动变化的相对影响，比较了全国封锁前后的时期。形成了一个地区层面的面板数据集，汇编了社交距离政策和人口流动模式变化的数据。面板回归显示，在3月24日之前的时期，每项社交距离政策的增量效应因邦而异。全国封锁导致所有邦的人员流动减少幅度更大，尽管存在差异。总体而言，在封锁前阶段能够在减少人员流动方面实现更高合规性的邦，在全国封锁中表现更好。
在线版本包含可在10.1057/s41287-021-00463-4获取的补充材料。
