基于D-HAQ模型的哈萨克斯坦住房负担能力分析

IF 1.4 2区 社会学 Q2 INTERNATIONAL RELATIONS
D. Mukayev, U. Shalbolova, Justyna Tanas
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引用次数: 0

摘要

在许多国家,住房负担能力是一个严重的社会经济问题,哈萨克斯坦也不例外。这篇文章的目的是在考虑到家庭收入和支出的动态变化的情况下,评估哈萨克斯坦各地区买房的负担能力。该分析使用了哈萨克斯坦17个地区2021年的数据,这些数据来自国家统计局、国家银行统计公报和分析门户网站。在此基础上,计算了三个指标——首付负担能力(DPA)、月供负担能力(MRA)和动态指标TAM,即达到足够MRA的时间。然后建立了住房负担能力象限。分析结果表明,哈萨克斯坦的所有地区都位于第三象限。这意味着这些地区的家庭很难同时支付首付和月供。在全国任何地方都没有观察到完全的住房负担能力。然后对优惠抵押贷款计划下的住房负担能力进行了评估,结果显示住房负担能力仅略有改善。作者得出的结论是,月供的偿付能力越低,通过降低抵押贷款利率来提高负担能力的效果就越差。相反,建议在哈萨克斯坦的每个地区对房地产市场的价格进行国家控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Housing affordability analysis in Kazakhstan based on D-HAQ model
Housing affordability is an acute socio-economic problem in many countries, and Kazakhstan is no exception. The purpose of the article is to assess the affordability of purchasing houses in the regions of Kazakhstan, taking into account dynamic changes in household income and expenditures. The analysis used data from 17 regions of Kazakhstan for 2021, which were collected from the Bureau of National Statistics, Statistical Bulletin of the National Bank, and analytical web portal. Based on the data, three indicators – down payment affordability (DPA), monthly repayment affordability (MRA), and dynamic indicator TAM, which is the time to achieve adequate MRA – were calculated. Then the Housing Affordability Quadrant was built. The results of the analysis showed that all regions of Kazakhstan are located in the third quadrant. This means that households in these regions have difficulty making both down and monthly payments. Full housing affordability in any part of the country is not observed. Then the affordability of housing under the preferential mortgage lending program was assessed, and as a result, housing affordability improved only slightly. The authors concluded that the lower the solvency of monthly payments, the less effective the effect of increasing affordability by lowering the interest rate on mortgage loans. Instead, it is recommended to take state control of prices in the real estate market in each region of Kazakhstan.
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CiteScore
3.10
自引率
8.00%
发文量
17
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