An Exploration of the Impact of Social Integration on the Re-employment Patterns of the Mobile Elderly Population in the Context of Informatization

IF 3.1 Q1 Mathematics
Liping Xiang
{"title":"An Exploration of the Impact of Social Integration on the Re-employment Patterns of the Mobile Elderly Population in the Context of Informatization","authors":"Liping Xiang","doi":"10.2478/amns.2023.2.01331","DOIUrl":null,"url":null,"abstract":"Abstract Re-employment of the mobile elderly population is an important factor in promoting the development of social integration, and the study of the interaction between the two can further realize re-employment. This paper evaluates the level of social integration from four dimensions: economic integration, behavioral integration, cultural integration, and psychological integration, and explains different integration indicators. The indicator factors and their weights of the social integration measurement model were identified through the use of factor analysis and principal component analysis. At the same time, categorical variables were used to set up the re-employment mode of the migrant elderly population, which led to the formulation of three research hypotheses on the impact of social integration. In the description of the overall characteristics of the re-employment of the mobile elderly population, with the help of the multiple covariance test to confirm the accuracy of the estimation of the impact effect, binary logistic regression is used to verify the relationship between the impact of social integration on the re-employment of the mobile elderly population. The test results show that the minimum value of tolerance is 0.804, and the maximum value is 0.954. The maximum value of VIF is 1.199, and the minimum value is 1.009. Model 1 shows that social integration has a negative effect on re-employment of the mobile elderly population, and the value of EXP(B) is 0.541. This study verifies the relationship of the effect of social integration on re-employment and guides the re-employment of the mobile elderly population.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"75 24","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Nonlinear Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/amns.2023.2.01331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Re-employment of the mobile elderly population is an important factor in promoting the development of social integration, and the study of the interaction between the two can further realize re-employment. This paper evaluates the level of social integration from four dimensions: economic integration, behavioral integration, cultural integration, and psychological integration, and explains different integration indicators. The indicator factors and their weights of the social integration measurement model were identified through the use of factor analysis and principal component analysis. At the same time, categorical variables were used to set up the re-employment mode of the migrant elderly population, which led to the formulation of three research hypotheses on the impact of social integration. In the description of the overall characteristics of the re-employment of the mobile elderly population, with the help of the multiple covariance test to confirm the accuracy of the estimation of the impact effect, binary logistic regression is used to verify the relationship between the impact of social integration on the re-employment of the mobile elderly population. The test results show that the minimum value of tolerance is 0.804, and the maximum value is 0.954. The maximum value of VIF is 1.199, and the minimum value is 1.009. Model 1 shows that social integration has a negative effect on re-employment of the mobile elderly population, and the value of EXP(B) is 0.541. This study verifies the relationship of the effect of social integration on re-employment and guides the re-employment of the mobile elderly population.
信息化背景下社会融合对流动老年人口再就业模式的影响探析
老年流动人口的再就业是促进社会融合发展的重要因素,研究两者之间的互动关系可以进一步实现再就业。本文从经济整合、行为整合、文化整合和心理整合四个维度评估了社会整合水平,并解释了不同的整合指标。通过因子分析和主成分分析,确定了社会整合测度模型的指标因子及其权重。同时,运用分类变量对老年流动人口的再就业模式进行了设置,从而形成了社会融合影响的三个研究假设。在对流动老年人口再就业总体特征的描述中,借助多元协方差检验来确认影响效应估计的准确性,采用二元逻辑回归来验证社会融合对流动老年人口再就业影响的关系。试验结果表明,公差最小值为0.804,最大值为0.954。VIF的最大值为1.199,最小值为1.009。模型1显示,社会融合对流动老年人口再就业有负向影响,EXP(B)值为0.541。本研究验证了社会融合对老年流动人口再就业的影响关系,为老年流动人口再就业提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信