Social housing development: a case study in Bac Ninh province, Vietnam

IF 0.8 Q3 URBAN STUDIES Housing Care and Support Pub Date : 2023-11-06 DOI:10.1108/hcs-05-2023-0010
Trung Nguyen Dinh, Nam Pham Phuong
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Abstract

Purpose This paper aims to assess the overall social housing development, point out factors affecting it and propose some policy implications for social housing development. Design/methodology/approach The research investigated investors, credit institutions and officials involved in social housing development. Bac Ninh province currently has 51 social housing projects that have been and are being implemented. The hypothetical regression model has seven latent variables and is tested by the criteria through the SPSS25.0 software. Findings There are 29 factors belonging to seven groups affecting housing development. Their impact rates range from 3.47% to 30.25%. Research limitations/implications The study has only identified the factors affecting social housing development but has not undertaken an in-depth assessment of its development status and forecast for the future. Therefore, this gap needs to be further studied. The proposed research method could also be applied when researching social housing developments in other countries around the world. Practical implications To develop social housing to meet the needs of the real estate market, it is necessary to improve the policies that have the strongest impact first. Then, it is necessary to improve the factors with a smaller impact. Social implications The study proposes policy implications for faster housing development for low-income people that improve their living standards. Originality/value To the best of the authors’ knowledge, the paper has studied for the first time social housing development and the factors affecting it. The paper also shows the level of their impact so that priority policies can be applied to each factor.
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社会住房发展:以越南北宁省为例
本文旨在评估社会住房的整体发展,指出影响社会住房发展的因素,并提出一些社会住房发展的政策启示。这项研究调查了参与社会住房发展的投资者、信贷机构和官员。北宁省目前有51个社会住房项目已经和正在执行。假设回归模型有7个潜变量,并通过SPSS25.0软件进行标准检验。影响住房发展的因素分为7类,共29个。它们的撞击率从3.47%到30.25%不等。研究局限/影响这项研究只发现影响社会房屋发展的因素,但并没有深入评估其发展状况及预测未来。因此,这一差距需要进一步研究。该研究方法也可以应用于世界上其他国家的社会住房发展研究。要发展社会保障房,满足房地产市场的需求,首先要完善影响最大的政策。然后,需要对影响较小的因素进行改进。该研究提出了加快低收入人群住房开发的政策建议,以提高他们的生活水平。在笔者所知的范围内,本文首次对社会住房的发展及其影响因素进行了研究。本文还显示了它们的影响程度,以便对每个因素适用优先政策。
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来源期刊
Housing Care and Support
Housing Care and Support URBAN STUDIES-
CiteScore
1.90
自引率
11.10%
发文量
13
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