Gibbons Joseph, Yang Tse-Chuan, Oren Eyal
San Diego State University, 5500 Campanile Dr, San Diego, CA 92182 USA.
University at Albany, SUNY, Albany, USA.
Spat Demogr. 2022;10(1):75-105. doi: 10.1007/s40980-021-00096-5. Epub 2021 Oct 4.
The early stages of the COVID-19 pandemic required a dramatic change in social practices, including distancing from social settings, to limit its spread. While social capital has considerable potential in facilitating the adoption of these norms, it also comes with considerable limitations that potentially undermine its effectiveness. We draw upon recently released mobility data from Google, network data from Facebook, and demographic data from the 2018 American Community Survey to determine how both organizational and networked measures of social capital relate to different forms of distancing. In addition, we employ geographically weighted regression to identify how these relationships vary across the nation. Findings indicate that while both forms of social capital can positively relate to distancing, the impacts are spatially inconsistent and, in some locations, social capital can discourage distancing. In sum, more policy efforts are needed to address not only low-social capital, but also unhelpful social capital.
新冠疫情早期阶段要求社会行为发生巨大改变,包括与社交场合保持距离,以限制病毒传播。虽然社会资本在促进这些规范的采用方面具有相当大的潜力,但它也存在相当大的局限性,可能会削弱其有效性。我们利用谷歌最近发布的移动数据、脸书的网络数据以及2018年美国社区调查的人口数据,来确定社会资本的组织性和网络性衡量指标如何与不同形式的社交距离相关联。此外,我们采用地理加权回归来确定这些关系在全国范围内是如何变化的。研究结果表明,虽然两种形式的社会资本都可以与社交距离呈正相关,但影响在空间上并不一致,在某些地区,社会资本可能会阻碍社交距离的保持。总之,不仅需要更多政策努力来解决社会资本水平低的问题,还需要解决无益的社会资本问题。