Are Veterans Happy? Long-term Military Service and the Life Satisfaction of Elderly Individuals in China

Zhao, Chunkai; Guo, Jianhao

doi:10.1007/s10902-021-00410-4

Cited by 23 publications

(12 citation statements)

References 82 publications

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“…Fourth, considering that the household poverty in rural China may differ greatly by health status and between regions, we try to include the province-by-health fixed effects for a robustness check [ 90 , 91 ]. In column (3) of Table 19 , we find that this change has little effect on the results, suggesting that our main results are convincing by controlling a high-dimensional fixed effect.…”

Section: Resultsmentioning

confidence: 99%

Poverty reduction in rural China: Does the digital finance matter?

Chen

Zhao

2021

PLoS ONE

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As digital finance is widely spread and applied in China, this new format of financial technology could become a new way to reduce poverty in rural areas. By matching digital financial indexes of the prefectural-level cities with microdata on rural households from the China Household Finance Survey (CHFS) in 2017, we find that digital finance significantly suppresses absolute poverty and relative poverty among rural households in China, which is supported by a series of robustness tests, such as the instrumental variable approach, using alternative specifications, and excluding extreme observations. Additionally, we provide evidence that the poverty reduction effect of digital finance is likely to be explained by alleviating credit constraints and information constraints, broadening social networks, and promoting entrepreneurship. Our findings further complement the research field on financial poverty reduction and offer insights for the development of public financial policies of poverty reduction in other countries, especially in some developing countries.

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Section: Resultsmentioning

confidence: 99%

Poverty reduction in rural China: Does the digital finance matter?

Chen

Zhao

2021

PLoS ONE

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“…Referring to previous studies (2,22,31,37,(42)(43)(44)(45)(46), covariables in this association included age, household register (rural or urban), home address (East, Middle, or West China, according to the National Development and Reform Commission), employment (employed or unemployed), marriage (married or unmarried), educational attainment, smoking (whether one smoked in the past month), drinking (whether one drank three times a week or more in the past month), and family size (the logarithm of the total number of people in a household). Meanwhile, we divided the samples into subgroups A (married and unmarried), B (junior college and above and below junior college), and C (urban and rural) according to marital status, education level, and household registration.…”

Section: Covariatesmentioning

confidence: 99%

The Role of Military Service in Preventing Depression in China: Evidence from a Nationally Representative Longitudinal Survey

Zhang

et al. 2023

Preprint

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Background: Despite recognition in the West that military veterans experience more mental health issues than the general population, little research has focused on this subject in China. This study examined the associations between male veterans’ military experience and depressionin China. Methods: A sample of 12,914 men including 669 veterans was included in the final analysis and propensity score matching, multivariable regressions were used. Results: The military experience was associated with a lower likelihood of depression in male veterans. In the subgroup analysis, military experience was associated with a lower likelihood of depression among married and urban male veterans. Military experience was also associated with a lower likelihood of depression in both “junior college and above” and “below junior college” groups. In contrast, evidence was lacking regarding the associations between military experience and depression for unmarried and rural veterans. Conclusions: Individual characteristics could influence the relationship between military experience and depression in male veterans, and the mental health of veterans should be paid more attention and guaranteed.

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“…In order to increase the level of happiness of the elderly, it is first necessary to identify the factors that affect the happiness of the elderly. In a number of studies, it has been shown that demographic and sociological factors such as income, gender, age, and education Sustainability 2024, 16, 2730 2 of 17 level [4][5][6][7]; physical factors such as objective and subjective health status and physical activity [8,9]; social factors such as social relationships, social status, and social support [10,11], as well as depression, anxiety, and self-efficacy; and psycho-emotional factors such as perception of aging [12][13][14][15] affect the happiness of the elderly.…”

Section: Introductionmentioning

confidence: 99%

Leisure and Happiness of the Elderly: A Machine Learning Approach

Kim,

Kang,

Park

2024

Sustainability

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Leisure activities play an important role in improving happiness levels for the elderly. The purpose of this study is to explore leisure-related factors that affect the happiness of the elderly using machine learning algorithms. For this research, the 2019 National Leisure Activity Survey released by the Ministry of Culture, Sports and Tourism, Republic of Korea, was used to analyze the data of 1769 elders over the age of 65 among 10,060 men and women aged 15 years and older in 17 cities and provinces nationwide, and it went through the process of data preprocessing, data segmentation, prediction model construction and evaluation, and model tuning. According to the findings of the study, the main factors predicting the happiness index of the elderly were leisure life satisfaction, leisure time, whether to use public leisure facilities, leisure policy satisfaction, and leisure activity companionship. The overall findings of this study imply that exploring sustainable policy towards the achievement of sustainable happiness for the elderly is important. Based on these results, policy measures to improve the happiness level of the elderly were discussed.

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Are Veterans Happy? Long-term Military Service and the Life Satisfaction of Elderly Individuals in China

Cited by 23 publications

References 82 publications

Poverty reduction in rural China: Does the digital finance matter?

Poverty reduction in rural China: Does the digital finance matter?

The Role of Military Service in Preventing Depression in China: Evidence from a Nationally Representative Longitudinal Survey

Leisure and Happiness of the Elderly: A Machine Learning Approach

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