4.6 Article

Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context

Journal

CURRENT PSYCHOLOGY
Volume 41, Issue 2, Pages 1065-1084

Publisher

SPRINGER
DOI: 10.1007/s12144-021-01861-x

Keywords

Psychological distance; COVID-19; Spatial distribution characteristics; China

Funding

  1. Emergency Special Project of New Coronavirus (2019-nCoV) Prevention and Control Scientific Research [2020XGYJ12]

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This study explored the cognitive distance, emotional distance, expected distance, and behavioral distance of the Chinese public in relation to the COVID-19 pandemic from the perspective of psychological distance (PD). The study found that the government was the most appealing subject in pandemic prevention and control, but the public's sense of closeness to the government was lower than that of other subjects. Different pandemic regions showed significant differences in PD, with high-risk regions having higher PD mean scores than medium-risk and low-risk regions. No spatial autocorrelation was found in PD globally, but high-value regions with distant PD were mainly in southern regions and low-value regions with close PD were mainly in North China.
The COVID-19 pandemic is a public health emergency, which continues to have a significant impact on the functioning of society and the public's daily life. From the perspective of psychological distance (PD), this study used descriptive, differential, and spatial autocorrelation analysis methods to explore the cognitive distance, emotional distance, expected distance and behavioral distance of the Chinese public in relation to the COVID-19 pandemic. An analysis of 4042 valid sample data found that: (1) The event emotional distance and subject emotional distance were both furthest from the event and subject psychological distance dimensions, and anger about the event was the strongest. (2) The government was the most appealing subject in the process of pandemic prevention and control, but at the same time, the public's sense of closeness to the government was also lower than that of the other three subjects, e.g., medical institutions. (3) Different pandemic regions showed significant differences in PD. Mean scores of PD in each risk region were as follows: High-risk regions > medium-risk regions > low-risk regions. (4) From a global perspective, no spatial autocorrelation was found in PD. However, from a local perspective, high-value regions (provinces with distant PD) are mainly concentrated in the southern regions (Guizhou, Guangxi, Hainan, Jiangxi), and low-value regions (provinces with close PD) are mainly concentrated in North China (Shanxi, Hebei, Beijing). Combined with the relevant conclusions, this paper put forward policy recommendations.

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