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<p>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.</p>
</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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Re-employment of the mobile elderly population is an important factor in promoting the development of social integration, and the study of the interaction...

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

Published Online: Dec 02, 2023

Page range: -

Received: Dec 14, 2022

Accepted: Jun 12, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01331

Keywords
Factor analysis, principal component analysis, binary logistic regression, social integration, re-employment of the elderly population

© 2023 Liping Xiang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Published Online: Dec 02, 2023

Page range: -

Received: Dec 14, 2022

Accepted: Jun 12, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01331

KeywordsFactor analysis, principal component analysis, binary logistic regression, social integration, re-employment of the elderly population

© 2023 Liping Xiang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Factor analysis, principal component analysis, binary logistic regression, social integration, re-employment of the elderly population