自营职业者家庭可支配收入影响因素研究:COVID-19 前后与工人家庭的比较

D. D
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引用次数: 0

摘要

本研究利用家庭金融福利调查数据,对影响个体经营户可支配收入的因素进行回归分析,并与 COVID-19 前后工人家庭的分析结果进行比较。分析结果显示,在 COVID-19 前后,无论个体经营户还是工人家庭,性别、家庭人口数量、132.2㎡ 以下、住宅价格、金融资产对可支配收入的影响都是正面的,相反,"jeonse "对可支配收入的影响都是负面的。户主的年龄分别对个体户和工人家庭产生了相反的负面影响。除个体户外,其他家庭在 2019 年都对 132.2 平方米产生了积极影响。除自营职业家庭外,公寓在 2022 年显示出积极影响。自雇家庭和工人家庭的月租金仅在 2019 年受到负面影响。按揭贷款在 2019 年对自营职业家庭产生了积极影响,在 2022 年对工人家庭产生了消极影响。住房支出仅在 2019 年对个体经营户产生了积极影响。这项研究的重要意义在于,它通过与 COVID-19 前后的工人家庭进行比较,从多个维度分析了对可支配收入(即个体经营者的实际收入)的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on the Factors Influencing Disposable Income of Self-employed Households : Focusing on Comparison with Workers' Households before and after COVID-19
This study used data from the Household financial welfare survey to conduct a regression analysis on the factors affecting disposable income of self-employed households and compared them with the analysis results of workers' households before, and after COVID-19. As a result of the analysis, gender, number of household members, less than 132.2㎡, residential housing prices, and financial assets had a positive effect on disposable income in common before and after COVID-19, regardless of the distinction between self-employed and worker households, and on the contrary, ‘jeonse’ all had a negative effect. The age of the head of the household had the opposite negative effect in self-employed and worker households, respectively. All but self-employed households showed a positive effect on 132.2㎡ in 2019. Apartments showed a positive effect in 2022 except for self-employed households. Monthly rent was negatively affected only in 2019 for both self-employed and worker households. Mortgage loans were positive in 2019 for self-employed households and negative in 2022 for worker households. Housing expenditure showed a positive effect only on self-employed households in 2019. This study is significant in that it analyzed the effect on disposable income, which is the real income of self-employed people, in multiple dimensions through comparison with worker households before and after COVID-19.
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