影響住宅自有或租賃的因素: 以1976 – 2021《家庭收支調查》資料分析

NCUIR > School of Management at National Central University > Master’s Program for Active-Duty Military Personnel (On-Base Program) > Electronic Thesis & Dissertation > Item 987654321/96363

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/96363

Title:	影響住宅自有或租賃的因素: 以1976 – 2021《家庭收支調查》資料分析
Authors:	李詠萱;LI, YUNG-XUAN
Contributors:	管理學院碩士在職現役軍人營區專班
Keywords:	租屋;自有;住宅所屬
Date:	2025-01-03
Issue Date:	2025-04-09 18:20:36 (UTC+8)
Publisher:	國立中央大學
Abstract:	本研究為了解在台灣社會中，影響買房及租屋的因素以及有房或租屋的家戶分別有甚麼特性，使用了 1976 – 2021行政院主計總局的家庭收支調查，彙整原始資料並分析歷年與家庭住宅所屬相關之變數，如家庭結構、家庭可支配所得、戶長特性、戶長工作地等，透過橫跨 46 年之歷史資料，去理解台灣人如何在住宅所屬上做出選擇，以及透過羅吉斯模型迴歸得出勝算比估計值，提供讀者一個可量化的參考點，如家庭可支配所得增加多少，有房的機率會上升多少。住宅所屬共有四個類型 : 自有、租屋、配住、其他，又因配住及其他歷年佔總數僅6.8%，故本研究將依自有及租屋兩種住宅型態為研究主軸。家庭結構歷經46年的變遷有巨幅的改變，如今以核心家庭、夫婦二人家庭及單人家庭為主，三代同堂雖以非當今家庭結構多數，但在歷年的資料中顯示房屋為自有的機率很高。家庭可支配所得本研究以中位數為基準將前 50% 定義為有錢家戶，後 50% 定義為沒錢家戶，而不論有沒有錢在房屋自有的部分都是很高的。另外本研究考量戶長工作地如在七都中負擔較大，可能會影響戶長選擇自有或租屋，因此將工作地的變項也加入分析，在迴歸結果中也顯示工作地在七都者有房的機率較非七都來得低。最後加入了建坪及實付、設算租金的描述性統計分析，顯示自有的平均建坪一般較租屋大，而有錢有房的人居住建坪最大，有錢沒房 (租屋) 的人平均每坪年租金最高，沒錢沒房 (租屋) 的人居住面積最小，而沒錢有房的人建坪僅次於有錢有房者，但是平均每坪年租金卻是最少的。 ;In order to understand the factors that affect buying and renting a house in Taiwanese society, as well as the characteristics of households that own or rent a house, this study used the 1976-2021 Household Income and Expenditure Survey of Directorate-General of Budget, Accounting and Statistics (DGBAS), and compiled original data. It also analyzes variables related to family residence ownership over the years, such as family structure, family disposable income, characteristics of the head of household, work location of the head of household, etc., and uses historical data spanning 46 years to understand how Taiwanese people make decisions about residence ownership. The choice is made, and the odds ratio estimate is obtained through Logistic model regression, providing readers with a quantifiable reference point. For example, how much a family′s disposable income increases, how much the probability of owning a house will increase. There are four types of housing: self-owned, rented, refers to residential buildings allocated by service units, and others. Since refers to residential buildings allocated by service units and other have only accounted for 6.8% of the total over the years, this study will focus on the two types of housing, self-owned and rented. The family structure has undergone tremendous changes over the past 46 years. Nowadays, nuclear families, couple families and single-person families are the main ones. Although three generations living under the same roof are not the majority of today′s family structures, data over the years show that houses are self-contained that the probability of owning a house is very high. Household disposable income: This study uses the median as a benchmark to define the top 50% as wealthy households and the bottom 50% as households without money. Regardless of whether there is money or not, the self-owned portion of the house is very high . In addition, this study considers that if the household head’s workplace is in the city and the burden is greater, it may affect the household head’s choice of owning or renting a house. Therefore, the variable of workplace is also added to the analysis. The regression results also show that people whose workplace is in the city have a lower chance of owning a house than those who work in non-urban areas. Finally, a descriptive statistical analysis of the floor space and actual paid and imputed rent was added, which shows that the average floor space of self-owned houses is generally larger than that of rented houses, and those with money and houses have the largest floor space . People who have money but don’t own a house (rent a house) have a higher average annual rent per square meter.People who have no money and no house (rent a house) have the smallest living area. People who don’t have money and own a house live in a square meter second only to those who have money and a house, but the average annual rent per square meter is the smallest.
Appears in Collections:	[Master’s Program for Active-Duty Military Personnel (On-Base Program)] Electronic Thesis & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	24	View/Open

社群 sharing

Loading...