Comparison of Life Satisfaction between Urban and Rural Residents
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This paper analyzed the differences of the subjective evaluation of life satisfaction between the urban and rural. We used five variables of income, health, leisure, husband-wife relationship, and other family relationship. In general, the respondent of the research feel a little above average life satisfaction. They are less satisfied about income and leisure, more satisfied about husband-wife and other family relationship, and urban residents are more satisfied about health but rural residents are not. It seems to be interpreted that the reason of little difference between urban and rural is that the rural residents do not feel the rough and objective living condition of the rural area. Thus, even if the objective condition of the rural area could not influence the subjective living condition. To measure the relative influence of the five independent variables to the dependent variable, subjective life satisfaction, we used multiple regression analysis. In urban, the five independent variables affect to the life satisfaction after the control of other variables. However, in rural the four variables of income, health leisure, and other family relationship except husband-wife relationship affect to the life satisfaction. The importance of income for the life satisfaction from the many previous works is reaffirmed by this study.
Abstract
This paper analyzed the differences of the subjective evaluation of life satisfaction between the urban and rural. We used five variables of income, health, leisure, husband-wife relationship, and other family relationship. In general, the respondent of the research feel a little above average life satisfaction. They are less satisfied about income and leisure, more satisfied about husband-wife and other family relationship, and urban residents are more satisfied about health but rural residents are not. It seems to be interpreted that the reason of little difference between urban and rural is that the rural residents do not feel the rough and objective living condition of the rural area. Thus, even if the objective condition of the rural area could not influence the subjective living condition. To measure the relative influence of the five independent variables to the dependent variable, subjective life satisfaction, we used multiple regression analysis. In urban, the five independent variables affect to the life satisfaction after the control of other variables. However, in rural the four variables of income, health leisure, and other family relationship except husband-wife relationship affect to the life satisfaction. The importance of income for the life satisfaction from the many previous works is reaffirmed by this study.
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