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A Panel Data Analysis of Subjective Well-Being Based on Microblog User Information
Shuijin Li1,2, Tingshao Zhu1,2
1Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
Healthcare (Basel, Switzerland)
|November 24, 2022
Summary
China's Livelihood Index positively impacts subjective well-being, with economic development also showing a strong link. Improving services like healthcare and education can boost well-being nationwide.
Area of Science:
- Social Sciences
- Economics
- Psychology
Background:
- Subjective well-being is a key indicator of societal progress.
- Understanding factors influencing well-being is crucial for policy development.
Purpose of the Study:
- To analyze the relationship between China's Livelihood Index and subjective well-being using big data.
- To identify specific indicators that influence life satisfaction and emotions.
Main Methods:
- Utilized big data modeling on microblogging platform (Weibo) data from 2010-2021.
- Applied Granger causality analysis to panel data on subjective well-being.
Main Results:
- Confirmed a positive correlation and Granger causality between China's Livelihood Index and subjective well-being.
- Identified positive links between education, medical/health indicators and well-being, and negative links with life stress and traffic.
- Observed bidirectional causality between economic development and subjective well-being.
Conclusions:
- Economic growth alone may not fully explain well-being; equitable development is key.
- Policy recommendations include boosting income, improving healthcare, education, and traffic in less developed regions.
- Addressing the gross domestic product per capita gap can enhance national subjective well-being.
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