Due to the COVID-19 pandemic, governments had to rapidly implement lockdown policies that restricted human mobility to suppress the spread of the disease and reduce mortality. Because of the movement restrictions resulting from government responses to the pandemic, US retail sales declined by -22% in April 2020 compared to the previous year. This study looks at the stringency of government policies, mobility patterns, and implied compliance levels. The relationships between these variables and the influence on retail sales serve to understand past human behavior and prepare for future pandemics. Retail losses varied dramatically across the US states, from -1.6% in Mississippi to -38.9% in Hawaii. States in the west and northeast were most affected, while those in the south were relatively resilient. Regression was used to identify statistically significant state-level characteristics. The greatest losses occurred in states with a high percentage of Democrat voters in the 2020 Presidential Election and those with large populations. A 10% increase in the Democrat vote is associated with a 2.4% increase in retail sales loss. States with a high percentage of adults with less than a high school diploma were most resilient. The number of trips of less than one-mile per capita is defined as the mobility index as it has the greatest influence on retail sales, on average, across the US states. An increase of 10% in this mobility index is associated with a 4.6% increase in retail sales. All states were generally compliant and exhibited reduced mobility with increasing stringency. A rise of 1% in the stringency index is associated with a decline of 1% in the mobility index. States with a high percentage of Democrat voters, large populations, and located in the west tend to be most compliant. A 10% rise in the proportion of people voting Democrat is associated with a 5% increase in compliance.
翻译:由于COVID-19大流行,政府不得不迅速实施限制人员流动以遏制疾病传播和降低死亡率的锁定政策,限制人员流动以遏制疾病传播并降低死亡率。由于政府对这一流行病的反应导致的行动限制,美国2020年4月零售销售量比上一年下降了-22%。这项研究审视了政府政策的严厉性、流动性模式和隐含的合规水平。这些变量与零售业对零售业的影响之间的关系有助于理解过去人类行为和为未来流行病做准备。美国各州的零售损失差异很大,从密西西比的-1.6%到夏威夷的-38.9 %。西部和东北部国家受到的影响最大,而南部国家则相对而言,由于政府对这一流行病的应对措施的影响相对较大,2020年4月美国零售业销售量下降至22%。在2020年总统选举中民主党选民比例较高的州和人口众多的州损失最大。民主党选票增加10%与零售业损失增加2.4%有关。 具有较高注册率的成年人比例很高的国家最有弹性。 与高注册率的国家相比, 低于1英里的人均旅行次数,而其零售业增长率为1英里以上。