PSYCH OpenIR  > 中国科学院行为科学重点实验室
Does wealth equate to happiness? an 11-year panel data analysis exploring socio-economic indicators and social media metrics
Huang, Feng1,2; Ding, Huimin3; Han, Nuo1,2,4; Li, Fumeng1,2; Zhu, Tingshao1,2
第一作者Huang, Feng
通讯作者邮箱tszhu@psych.ac.cn (tingshao zhu)
心理所单位排序1
摘要

The Easterlin paradox questions the link between economic growth and national well-being, emphasizing the necessity to explore the impact of economic elasticity, income inequality, and their temporal and spatial heterogeneity on subjective happiness. Despite the importance of these factors, few studies have examined them together, thus ongoing debates about the impact of economics on well-being persist. To fill this gap, our analysis utilizes 11 years of panel data from 31 provinces in China, integrating macroeconomic indicators and social media content to reassess the Easterlin paradox. We use GDP per capita and the Gini coefficient as proxies for economic growth and income inequality, respectively, to study their effects on the subjective well-being expressed by citizens on social media in mainland China. Our approach combines machine learning and fixed effects models to evaluate these relationships. Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. This study makes a synthetic contribution to the debate on the Easterlin paradox, indicating that economic growth can enhance well-being if income inequality is kept below a certain level. Although these results are theoretically enlightening for the relationship between economics and national well-being globally, this study's sample comes from mainland China. Due to differences in cultural, economic, and political factors, further research is suggested to explore these dynamics globally.

2024-04-10
DOI10.1371/journal.pone.0301206
发表期刊PLOS ONE
ISSN1932-6203
卷号19期号:4页码:19
期刊论文类型实证研究
URL查看原文
收录类别SCI
资助项目Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E2CX4735YZ]
出版者PUBLIC LIBRARY SCIENCE
WOS关键词ECONOMIC-GROWTH ; LIFE SATISFACTION ; EASTERLIN PARADOX ; INEQUALITY ; INCREASE ; INCOME
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:001202876800071
WOS分区Q1
资助机构Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences
引用统计
文献类型期刊论文
条目标识符https://ir.psych.ac.cn/handle/311026/47879
专题中国科学院行为科学重点实验室
作者单位1.Chinese Acad Sci, Inst Psychol, CAS Key Lab Behav Sci, Beijing, Peoples R China;
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China;
3.Renmin Univ China, Sch Educ, Beijing, Peoples R China;
4.City Univ Hong Kong, Sch Data Sci, Hong Kong, Peoples R China
第一作者单位中国科学院行为科学重点实验室
推荐引用方式
GB/T 7714
Huang, Feng,Ding, Huimin,Han, Nuo,et al. Does wealth equate to happiness? an 11-year panel data analysis exploring socio-economic indicators and social media metrics[J]. PLOS ONE,2024,19(4):19.
APA Huang, Feng,Ding, Huimin,Han, Nuo,Li, Fumeng,&Zhu, Tingshao.(2024).Does wealth equate to happiness? an 11-year panel data analysis exploring socio-economic indicators and social media metrics.PLOS ONE,19(4),19.
MLA Huang, Feng,et al."Does wealth equate to happiness? an 11-year panel data analysis exploring socio-economic indicators and social media metrics".PLOS ONE 19.4(2024):19.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Does wealth equate t(1437KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Huang, Feng]的文章
[Ding, Huimin]的文章
[Han, Nuo]的文章
百度学术
百度学术中相似的文章
[Huang, Feng]的文章
[Ding, Huimin]的文章
[Han, Nuo]的文章
必应学术
必应学术中相似的文章
[Huang, Feng]的文章
[Ding, Huimin]的文章
[Han, Nuo]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Does wealth equate to happiness? an 11-year panel data analysis exploring socio-economic indicators and social media metrics.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。