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首页> 外文期刊>Journal of Economic Behavior & Organization >Determinants of the community mobility during the COVID-19 epidemic: The role of government regulations and information
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Determinants of the community mobility during the COVID-19 epidemic: The role of government regulations and information

机译:Covid-19流行病中社区流动的决定因素:政府法规和信息的作用

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This paper studies the dynamics of human mobility during the initial stage of the COVID19 pandemic in countries around the world. The main goal of the analysis is to empirically separate voluntary reductions in mobility driven by the information about the location specific pandemic trends from the effects of the government-imposed social distancing mandates. Google human mobility dataset is used to track the dynamics of mobility across a wide range of categories (e.g., workplace, retail and recreational activities, etc.), while information on country-specific counts of COVID-19 cases and deaths is used as a proxy for the information about the spread of the pandemic available to the population. A detailed index of stringency of the government-imposed social distancing policies in around 100 countries is used as a measure of government response. We find that human mobility does respond in a significant way to the information about the spread of the pandemic. This channel can explain about 15 percentage points of the overall reduction in mobility across the affected countries. At the same time, our results imply that government-imposed policies account for the majority of the reduction in the mobility observed during this period.(c) 2021 Elsevier B.V. All rights reserved.This paper studies the dynamics of human mobility during the initial stage of the COVID19 pandemic in countries around the world. The main goal of the analysis is to empirically separate voluntary reductions in mobility driven by the information about the locationspecific pandemic trends from the effects of the government-imposed social distancing mandates. Google human mobility dataset is used to track the dynamics of mobility across a wide range of categories (e.g., workplace, retail and recreational activities, etc.), while information on country-specific counts of COVID-19 cases and deaths is used as a proxy for the information about the spread of the pandemic available to the population. A detailed index of stringency of the government-imposed social distancing policies in around 100 countries is used as a measure of government response. We find that human mobility does respond in a significant way to the information about the spread of the pandemic. This channel can explain about 15 percentage points of the overall reduction in mobility across the affected countries. At the same time, our results imply that government-imposed policies account for the majority of the reduction in the mobility observed during this period.
机译:本文研究了世界各国Covid19大流行初期的人体流动性的动态。分析的主要目的是经验在政府施加的社会疏散授权的影响下,通过有关特定意义流行趋势的信息的流动性的自愿减少。谷歌人类移动数据集用于跟踪各种类别(例如,工作场所,零售和娱乐活动等)的移动性动态,而有关Covid-19案例和死亡的国家特定计数的信息被用作关于有关人口可供发出的蔓延的信息的代理。大约100个国家的政府施加的社会疏散政策的严格性严格指标被用作政府反应的衡量标准。我们发现,人类流动确实以重要的方式回应有关大流行传播的信息。该频道可以解释受影响国家的流动性总体减少的约15个百分点。与此同时,我们的结果意味着政府施加的政策占这次时期所观察到的流动性的大部分的大部分。(c)2021 Elsevier BV保留所有权利。本文研究了初期人类流动性的动态在世界各国的Covid19大流行。分析的主要目的是经验在政府施加的社会疏远授权的影响下,凭借有关地区特异性大流行趋势的信息的流动性的自愿减少。谷歌人类移动数据集用于跟踪各种类别(例如,工作场所,零售和娱乐活动等)的移动性动态,而有关Covid-19案例和死亡的国家特定计数的信息被用作关于有关人口可供发出的蔓延的信息的代理。大约100个国家的政府施加的社会疏散政策的严格性严格指标被用作政府反应的衡量标准。我们发现,人类流动确实以重要的方式回应有关大流行传播的信息。该频道可以解释受影响国家的流动性总体减少的约15个百分点。与此同时,我们的结果意味着政府施加的政策占大多数人在此期间观察到的流动性减少。

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