Zhu Bifeng, Ding Manqi, Xiang Xingwei, Sun Chaoyang, Tian Xiaoqian, Yin Junfeng
College of Urban Construction, Zhejiang Shuren University, Hangzhou, China.
College of Architecture, Zhejiang University of Technology Zhijiang College, Shaoxing, China.
Humanit Soc Sci Commun. 2023;10(1):260. doi: 10.1057/s41599-023-01765-0. Epub 2023 May 26.
This study examines the contradiction caused by the 'local new year' policy, that is, the conflict between the pandemic prevention policies and people's emotional demands during the Spring Festival, based on the normalisation of pandemic prevention and control. It focuses on the scientific logical relationship with the contradiction that people voluntarily support 'local new year', to explore the primary driving factors of their willingness. By evaluating the migrant workers in large cities, the primary influencing factors were screened, and the primary dynamic factors and their relationship were obtained using the Logit logical selection model and maximum-likelihood estimation. The study identified, 'whether social and entertainment activities are planned in migrant cities', as the primary driving factor, followed by 'whether there are relatives (elderly /children) at home', and 'contracting the infection during travel'. In view of this conclusion, this study further proposes corresponding policy suggestions: Relevant measures should be adopted according to different regions and the current situation of the pandemic in combination with the characteristics of the episodic and local nature of the pandemic. 'Local new year' is encouraged from the perspective of enriching people's emotional needs for spiritual entertainment and care. This study provides a new perspective and theoretical basis for the research and formulation of policies related to the normalisation of pandemic prevention and control in China and worldwide, and has a certain practical reference value.
本研究基于疫情防控常态化,审视“就地过年”政策引发的矛盾,即春节期间疫情防控政策与民众情感需求之间的冲突。研究聚焦于民众自愿支持“就地过年”这一矛盾的科学逻辑关系,以探究其意愿的主要驱动因素。通过对大城市外来务工人员进行评估,筛选出主要影响因素,并运用Logit逻辑选择模型和最大似然估计得出主要动态因素及其关系。研究确定,“务工城市是否有社交娱乐活动安排”为主要驱动因素,其次是“家中是否有亲属(老人/孩子)”以及“出行途中感染”。鉴于这一结论,本研究进一步提出相应政策建议:应根据不同地区和疫情现状,结合疫情的阶段性和局部性特点采取相关措施。从丰富民众精神娱乐和关怀的情感需求角度鼓励“就地过年”。本研究为中国乃至全球疫情防控常态化相关政策的研究与制定提供了新视角和理论依据,具有一定的实践参考价值。