Abstract

Widespread use of digital information technology is having a significant impact on economic growth and people’s well-being. This paper assesses the mediating role of social capital in the impact of digital information technology on multidimensional poverty. Due to differences in regional, industrial structure and other factors, digital information technology has different impacts on urban and rural residents. In this paper, the China Family Panel Studies (CFPS) database is used for data, and a mediating effect model is used to study the problem. The digital information technology use was found to enhance social capital from social network, social participation and social trust, and subsequently alleviates multidimensional poverty. The results indicate that social trust plays a more significant mediating role than social capital and social participation on the impact of digital information technology on multidimensional poverty. Furthermore, the results reveal that the use of digital information technology has varying effects on poverty reduction among different income groups, with a much higher effect on low-income groups. However, the mediating effect of social capital in high-income groups is higher than that in low-income groups. In particular, social capital in the top 25% of income groups has the highest mediating effect. In the heterogeneity analysis between urban and rural areas, it is found that the multidimensional poverty situation in urban areas is significantly better than that in rural areas, because urban residents have a higher use of digital information, and at the same time, the quality of social capital in urban and rural groups is different, leading to the difference in the effect of digital information technology on poverty reduction of multidimensional poverty. Based on the results of the study, we believe that the use of digital information technology has actually improved the multi-dimensional poverty status of all groups, and social capital plays a key mediating role in it. Relying on the progress of digital information technology, we can build more convenient social network. Establish more adequate channels of information communication, enhance social trust and social participation, and alleviate multidimensional poverty.

Highlights

  • While this paper focuses on the intermediary effect of social capital on the relationship between the use of digital information and multidimensional poverty, social capital and multidimensional poverty are often measured as a family unit, and our sample will be limited to data with complete information at the family level

  • The impact of digital information technology use on multidimensional poverty: The use of digital information technology has a highly statistically significant negative impact on family multidimensional poverty, indicating that more and convenient information communication brought by digital information have improved the livelihood of households

  • The use of digital information has a significant effect on reducing multidimensional poverty among the surveyed households, with a statistically significant mediating effect of social capital

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Summary

Introduction

It is generally believed that the development and use of digital information technology is conducive to the accumulation of social capital, previous studies were generally theoretical in nature and lack empirical analysis. It is generally believed that the development and use of digital informati technology is conducive to the accumulation of social capital, previous studies were ge erally theoretical in nature and lack empirical analysis. The influence framework for analyzing the in the relationships between digital information, social ca ital andtechnology family multidimensional poverty The paper explores the reducti of multidimensional poverty from the perspectives of digital information technology use of multidimensional poverty from the perspectives of digital information technology u and social capital and it tests its influencing factors using Logit regression.

Theoretical Framework
The Relationship between Social Capital and Multidimensional Poverty
Data Sources
Measurement of Multidimensional Poverty
Measures of Social Capital
Ordered Logit Regression Model
Mediating Effect Model
Model Test
Descriptive Statistical Analysis of Multidimensional Poverty
Multidimensional Measures of Poverty and Deprivation in Households
Baseline Estimation Results
Analysis of Influence Mechanism
Heterogeneity Analysis
Regression Method
Conclusions
A Study ofand
A Social
Full Text
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