Study on the influencing factors of peasants’ subjective well-being

2016 ◽  
Vol 14 (2) ◽  
pp. 112-122
Author(s):  
Guotao Yang ◽  
Tao Jiang ◽  
Zihe Liu
Keyword(s):  
Influencing Factors ◽  
Well Being ◽  
Subjective Well Being

scholarly journals Analysis of Factors Affecting the High Subjective Well-Being of Chinese Residents Based on the 2014 China Family Panel Study

2019 ◽  
Vol 16 (14) ◽  
pp. 2566 ◽  
Author(s):  
Wen Xu ◽  
Haiyan Sun ◽  
Bo Zhu ◽  
Wei Bai ◽  
Xiao Yu ◽  
...  
Keyword(s):  
Physical Exercise ◽  
Influencing Factors ◽  
Low Income ◽  
Social Trust ◽  
Population Distribution ◽  
Panel Study ◽  
Multivariable Analysis ◽  
Logistic Models ◽  
Well Being ◽  
Subjective Well Being

(1) Purpose: The purpose of our research is to understand the subjective well-being (SWB) of Chinese adult residents and its influencing factors and to identify the key groups and areas to provide a basis for the formulation of relevant policies to improve residents’ happiness. (2) Methods: In this study, we analyzed the influencing factors of SWB of individuals older than 16 years of age, according to the 2014 China Family Panel Study (CFPS). We weighted 27,706 samples in the database to achieve the purpose of representing the whole country. Finally, descriptive statistics were used for the population distribution, chi-square tests were used for univariable analysis, and binary logistic models were used for multivariable analysis. (3) Results: The response rate of SWB was 74.58%. Of the respondents, 71.2% had high SWB (7–10), with a U-shaped distribution between age and SWB. Females are more likely than males to rate themselves as happy. There is a positive ratio between years of education and SWB. Residents who have better self-evaluated income, self-rated health (SRH), psychological well-being (PWB), Body Mass Index (BMI), social trust, social relationships, and physical exercise have higher SWB. (4) Conclusion: The results of the present study indicate that to improve residents’ SWB, we should focus more attention on middle-aged and low-income groups, particularly men in agriculture. The promotion of SWB should be facilitated by improvements in residents’ education, health status, and social support as well as by the promotion of smoking bans and physical exercise.

scholarly journals What Determines the Psychological Well-Being during Commute in Xi’an: The Role of Built Environment, Travel Attitude, and Travel Characteristics

2019 ◽  
Vol 11 (5) ◽  
pp. 1328
Author(s):  
Dong Wei ◽  
Xiaoshu Cao ◽  
Miaomiao Wang
Keyword(s):  
Built Environment ◽  
Influencing Factors ◽  
Traffic Congestion ◽  
Structural Equation ◽  
Negative Emotions ◽  
Central City ◽  
Well Being ◽  
Equation Model ◽  
Subjective Well Being ◽  
Electric Bicycle

The commute well-being (CWB) has been associated with the mental health and depends on the positive or negative emotions that occur during the daily commute. This paper analyzes the influencing factors and discusses the structural relationship between CWB and influencing factors, based on our evaluation of the results for daily CWB between different travel modes. We based our analyses on a CWB survey conducted in the central city proper of Xi’an. In contrast to previous studies, this paper investigates two commuting phases, in the morning and evening, to better analyze daily CWB. To conduct a more comprehensive analysis, in addition to considering multi-stage combined travel, the subjective and objective aspects of factors influencing CWB were deepened and expanded. The measurement was based on the Satisfaction with Travel Scale, which was developed based on a method for measuring subjective well-being. The average CWB level of each model was compared by analyzing the variances. The influencing factors were determined by stepwise regression, and the influence mechanism was analyzed using a structural equation model (SEM). The results indicate that CWB in Xi’an was highest for walking, which was followed, in order, by motorcycle, electric bicycle, staff shuttle bus, bicycle, metro, car, taxi, and bus. The result reflects that commuting by bus is associated with more negative emotions in Xi’an. The results of SEM indicate that the built environment does not directly affect CWB, but it will act on CWB by affecting other factors. The travel attitude, commute mode choice, and other travel characteristics affect each other and affect CWB directly and indirectly. Other travel characteristics has the largest total effect on CWB, and the travel attitudes have the largest direct effect. Without considering the travel attitude, reducing traffic congestion, commuting time, and transfer times can significantly improve CWB and reduce negative emotions in the future in Xi’an.

scholarly journals Comprehensive Comparison between Empty-nesters and Non-empty-nesters in Anhui, China: Subjective Well-being and Depression

2020 ◽  
Author(s):  
Dan Su
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Status ◽  
Influencing Factors ◽  
Religious Belief ◽  
Well Being ◽  
Mental Health Status ◽  
Subjective Well Being ◽  
Old People ◽  
Targeted Interventions

Abstract BACKGROUND: China is one of the countries facing the most serious population aging. Empty-nesters accounted half of the total old adults in China, improving mental health status of old people is necessary. This cross-sectional study aimed to compare the subjective well-being and depression comprehensively between empty-nesters and non-empty-nesters in Anhui, China.METHODS: 1452 participants were surveyed by using the demographic characteristics questionnaire, the subjective well-being (SWB) single-choice facial expression questionnaire and the 30-item Geriatric Depression Scale (GDS-30).RESULTS: Education level and depression were risk factors for both groups ( P <0.05), but age, marital status, living mode, and religious belief were main risk factors for empty-nesters ( P <0.05). Monthly individual income and SWB were risk factors for both groups( P <0.05), but living mode, religious belief and physical exercise were main risk factors for elderly empty-nesters, whereas economy situation was the main risk factor for non-empty-nesters( P <0.05).CONCLUTION: The influencing factors of two groups had similarities and differences. With the aging population of China, improving mental health status of old people was necessary. We should implement targeted interventions addressing mental health influencing factors of older adults.

Study on the Influencing Factors of Short Video Users’ Subjective Well-Being

2021 ◽  
pp. 199-210
Author(s):  
Jiajing Li ◽  
Jie Bai ◽  
Ziying Li ◽  
Yang Yang ◽  
Xiuya Lei
Keyword(s):  
Influencing Factors ◽  
Well Being ◽  
Subjective Well Being ◽  
Short Video

scholarly journals Study on Influencing Factors of Subjective Well-being of Workers in Manufacturing Industry

2021 ◽  
Vol 5 (1) ◽  
pp. 29
Author(s):  
Dong Ke
Keyword(s):  
Influencing Factors ◽  
Manufacturing Industry ◽  
Well Being ◽  
Industrial Workers ◽  
Subjective Well Being ◽  
Enterprise Organization ◽  
The Competitiveness Of Enterprises ◽  
Economic Income

Strengthening the research on the influencing factors of subjective well-being of workers in manufacturing industry is helpful to adopt comprehensive measures to improve the well-being of industrial workers, enhance the competitiveness of enterprises and promote their better development. This paper attempts to analyze the factors that affect workers’ subjective well-being from the aspects of employees themselves, economic income, and enterprise organization.

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