Supportive Strategies and Empirical Research on Housing Policies for the Improvement of the Living Environment of Special Needs Groups under the Social Security Framework

Due to the continuous increase of housing prices in recent years, many special groups of low and middle income do not have enough financial ability to pay for the high housing prices, and the problem of living environment is becoming more and more prominent.Based on the utility function in economic theory, this paper constructs a utility function model under the constraints of household budget income and price, and determines the income line of housing security households.The distributional efficiency of the implementation of the guaranteed housing policy is estimated through both in-kind rent allocation and rent subsidy.Based on the empirical distribution characteristics and public opinion surveys, a rational distribution model for the current stage of sheltered housing is proposed.Taking Singapore's guaranteed housing policy as a case study, combining empirical evidence and simulation experiments, the effect of improving the living environment of special needs groups under the framework of social security is explored.The results show that: using a 10% allocation ratio of subsidised housing (5% each for affordable housing and public rental housing), the vacancy rate of public rental housing shows an oscillating state in the period of 7~16.In the period from 16 to 20, it shows a gradual increase.Therefore, this guaranteed housing policy should be gradually adjusted or cancelled around period 16.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127a-160
Primary Topic
Medical Research and Treatments
Type
article
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article

Supportive Strategies and Empirical Research on Housing Policies for the Improvement of the Living Environment of Special Needs Groups under the Social Security Framework

Journal of Combinatorial Mathematics and Combinatorial Computing
Medical Research and Treatments
article

Supportive Strategies and Empirical Research on Housing Policies for the Improvement of the Living Environment of Special Needs Groups under the Social Security Framework

article en

Abstract

Due to the continuous increase of housing prices in recent years, many special groups of low and middle income do not have enough financial ability to pay for the high housing prices, and the problem of living environment is becoming more and more prominent.Based on the utility function in economic theory, this paper constructs a utility function model under the constraints of household budget income and price, and determines the income line of housing security households.The distributional efficiency of the implementation of the guaranteed housing policy is estimated through both in-kind rent allocation and rent subsidy.Based on the empirical distribution characteristics and public opinion surveys, a rational distribution model for the current stage of sheltered housing is proposed.Taking Singapore's guaranteed housing policy as a case study, combining empirical evidence and simulation experiments, the effect of improving the living environment of special needs groups under the framework of social security is explored.The results show that: using a 10% allocation ratio of subsidised housing (5% each for affordable housing and public rental housing), the vacancy rate of public rental housing shows an oscillating state in the period of 7~16.In the period from 16 to 20, it shows a gradual increase.Therefore, this guaranteed housing policy should be gradually adjusted or cancelled around period 16.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Sustainable cities and communities
Openalex Percentile: Top 87%
Medical Research and Treatments
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Supportive Strategies and Empirical Research on Housing Policies for the Improvement of the Living Environment of Special Needs Groups under the Social Security Framework · Journal of Combinatorial Mathematics and Combinatorial Computing (2025) | TGRS Research Map | TGRS