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作 者:冯懿男 崔江龙 郑梦沂 FENG Yinan;CUI Jianglong;ZHENG Mengyi(School of Economies and Management,University of Chinese Academy of Sciences,Beijing 100190,China;Chinese Research Academy of Environmental Sciences,Beijing 100012,China;School of Sociology,China University of Political Science and Law,Beijing 102249,China)
机构地区:[1]中国科学院大学经济与管理学院,北京100190 [2]中国环境科学研究院,北京100012 [3]中国政法大学社会学院,北京102249
出 处:《计量经济学报》2024年第6期1631-1648,共18页China Journal of Econometrics
摘 要:房租占家庭收入的比重是衡量一个城市居民家庭租房负担的重要指标.由于数据可得性的限制,通常采用城市年度平均租金与家庭平均收入的比值来研究城市的房租负担问题.然而,这种方法得出的中低收入家庭负担较重的结论往往只是一般性的逻辑推测,无法提供不同收入水平家庭租房负担的量化结果.本文利用第七次人口普查租房户租金分组数据和城市居民家庭人均可支配收入数据,通过引入租金和收入两个连续分布函数,克服了数据统计口径不一致的难题,构建了房租与居民收入匹配效率模型,对典型城市进行了模拟测算.该模型不仅可以准确测算出各城市房租与居民家庭收入的总平均比值,还能够细化到不同收入水平家庭房租的实际负担.该模型在揭示不同城市和不同收入群体房租负担差异的同时,还具有可操作性和普适性,有助于评估城市租赁市场的公平性和有效性.The proportion of rent to household income is an important indicator for measuring the rental burden of urban households.Due to limitations in data availability,the ratio of annual average rent to average household income in a city is often used to study the rental burden.However,this method often leads to a general logical conclusion that low-to middle-income households bear a heavier burden,without providing quantitative results for households at different income levels.This paper utilizes grouped data on rental households from the Seventh Population Census and data on per capita disposable income of urban households.By introducing two continuous distribution functions for rent and income,it overcomes the issue of inconsistent statistical calibers and constructs a model for matching rent with household income efficiency,simulating and calculating for typical cities.This model can not only accurately calculate the overall average ratio of rent to household income in various cities but also detail the actual rental burden for households at different income levels.While revealing the differences in rental burdens among different cities and income groups,this model is also operational and universally applicable,aiding in the assessment of the fairness and effectiveness of the rental market.
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