A Low Income Housing Needs and Affordability for Thailand’s Strategic National Plan During 2017-2037

C. Denpaiboon, Kitti Limsakul, Sarich Chotipanich
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Abstract

This paper has developed a model to forecast the housing needs and affordability of the low-income households in Thailand 2018-2037. The model has applied the baseline data from the socioeconomic survey (SES 2015). Considering official population projections by the changing age structure and household formations based on income, forecasts can be made about housing needed by ‘Renters’, who are the target group of the low-income households. Given, heuristic scenarios on households’ income growthover time, an initial planning model for affordable units of housing by types for renters has been proposed. Effective government policy to mobilize social resource for this low-income household is needed. It is shown that in the long-run, as mean income rises with changing income distribution, households can rely more on the private market provision of housing supply. The model can easily be used for Strategic National Planning by changing assumptions and parameters by the National Housing Authority of Thailand. The NHA in partnership with CODI can solidly plan for the role of low-income housing policy with government intervention on interest rates, terms loan and other policy instruments such as tax exemption for the land sharing in the housing and community development. This paper suggests meta-planning of an urban city model study where NHA, CODI will work together in partnership with other government agencies, the private sector, financial institutions, and academics 
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2017-2037年泰国国家战略计划的低收入住房需求和可负担性
本文建立了一个模型来预测泰国2018-2037年低收入家庭的住房需求和负担能力。该模型采用了社会经济调查(SES 2015)的基线数据。考虑到官方人口预测的年龄结构变化和基于收入的家庭组成,可以预测低收入家庭的目标群体“租房者”的住房需求。考虑到家庭收入随时间增长的启发式情景,提出了按类型划分的可负担住房单元的初步规划模型。需要有效的政府政策来为低收入家庭调动社会资源。研究表明,从长期来看,随着收入分配的变化,平均收入增加,家庭可以更多地依赖私人市场提供住房供应。通过改变泰国国家住房管理局的假设和参数,该模型可以很容易地用于国家战略规划。房委会与CODI合作,透过政府在利率、贷款条件和其他政策工具(例如房屋和社区发展的土地分享免税)方面的干预,切实规划低收入房屋政策的作用。本文建议进行城市模型研究的元规划,NHA、CODI将与其他政府机构、私营部门、金融机构和学术界合作
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