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This paper aims to assess the overall social housing development, point out factors affecting it and propose some policy implications for social housing development.

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.

There are 29 factors belonging to seven groups affecting housing development. Their impact rates range from 3.47% to 30.25%.

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.

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.

The study proposes policy implications for faster housing development for low-income people that improve their living standards.

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.

This study aims to examine the impact of housing construction on single-family housing values and the implications for urban development.

To achieve this objective, the author used the difference-in-difference methodology to examine the effect of multifamily and single-family housing construction on surrounding single-family homes in Stockholm, Sweden. The author analysed data from approximately 480 housing construction projects between 2009 and 2014 and 17,000 single-family detached house transactions between 2005 and 2018.

The research found that multifamily construction projects did not affect the value of surrounding single-family homes, while single-family home construction had a negative impact. The author attributes this result to single-family housing projects typically located in areas with initially positive externalities, while multifamily housing projects are often located on the edge of areas with negative externalities before construction.

The research is limited by its focus on a specific geographic area and time frame, and future research could expand the scope to include other cities and regions and different periods. Additionally, further research could examine the impact of housing construction on other economic factors beyond housing values.

The research has practical implications for urban planners and policymakers. They should consider the potential negative impact of new single-family home construction on existing single-family housing areas while balancing the need for new housing in urban areas. By carefully evaluating construction locations, policymakers can create more sustainable, livable and equitable urban environments that benefit all members of society.

This research paper contributes to the field of housing economics by examining the impact of housing construction on single-family housing values in the context of urban development and climate change mitigation. Using a difference-in-difference methodology, the study provides evidence of the price effect of multifamily and single-family housing construction on surrounding single-family homes, which has important policy implications for urban planners and policymakers. By identifying the negative impact of single-family home construction on surrounding areas and highlighting the need for careful evaluation of construction locations, the research provides valuable insights for creating sustainable, livable and equitable urban environments that benefit all members of society.

The purpose of the study is to elicit risk factors that are peculiar to public-private partnership (PPP)-procured mass housing in Nigeria from the expert perspectives in ensuring the success of the scheme thereby reducing housing deficit in the country.

The risk inherent in construction projects had been established through literature in general. The risk in PPP projects is emerging because of the recent acceptance of the procurement option by governments all over the globe. The Nigerian Government has also adopted the procurement option in bridging the housing deficit in the country. This study, therefore, conducts a Delphi survey on the probability of risk occurrence peculiar to PPP mass housing projects (MHPs) in Nigeria. Pragmatic research approach through the mixed method of both quantitative and qualitative methods was adopted for this study. The quantitative method adopts the administration of questionnaires through the Delphi survey, whereas the qualitative method used interviews with the respondents. A two-stage Delphi questionnaire was administered to construction practitioners that cut across academics, the public and the private sectors by adopting convenient sampling techniques and following the Delphi principles and procedures. A total of 63 risk factors were submitted to the expert to rank on a Likert scale of 7 and any risk factors that the mean item score (MIS) falls below the grading scale of the five-point benchmark is deemed not necessary a risk factor associated with PPP MHPs and thereby expunged from the second round of the Delphi Survey. The interview was subsequently applied to the respondents to substantiate the risk factors that are peculiar to PPP-procured mass housing in the study area.

The findings show that risk factors such as maintenance frequent than expected, life of facility shorter than anticipated and maintenance cost higher than expected fall below 5.0 benchmark with MIS of 4.64 and 4.55 indicating that the risk factors are not peculiar to PPP mass housing in Nigeria.

The implication for practise of this research is that these risk factors provide the PPP stakeholders with the comprehensive checklists that can aid in developing PPP risk assessment guidelines in the sector though both partners should be aware of the dynamic nature of risk because new ones might be emerging.

The authors hereby declare that the research findings are a product of a thorough research conducted in the study area and have not to be submitted or published by another person or publisher and due acknowledgement was made where necessary.