This article describes the emerging housing policy framework in China, which includes three major affordable housing programs and a heavily regulated housing finance sector. The three programs are the Economical and Comfortable Housing (ECH) program, the Housing Provident Fund (HPF) program, and the Cheap Rental Housing (CRH) program. For each program, the authors examine how it works and whether it has been effective in achieving its policy objectives. They also describe the characteristics of China’s newly developed mortgage market and present some examples of the recent government efforts to regulate mortgage lending and to address concerns about potential real estate bubbles.
Housing Provident Fund (HPF), a compulsory saving scheme providing self-funded housing credit, is a significant provider of housing finance in several emerging economies. The Chinese HPF program constitutes the largest social housing finance program in the world. Yet, very few studies have examined it. This paper documents the history of China's HPF program, in particular, how it has evolved from a local experiment to a prominent national housing program. It then examines the program's management structure and the role of HPF lending in meeting China's housing finance needs.
This article focuses on the relationship between Fintech and bank risk-taking behavior. Since Robo-Advisor is one of the mature applications of Fintech, we found that the development of Fintech will have a greater impact on small and medium-sized banks through the establishment of a Robo-Advisor model. This paper uses a benchmark regression model to analyze the municipal digital financial inclusion index compiled by Peking University and the annual report data of 155 small and medium-sized banks from 2011 to 2016. We found that the development of Fintech has significantly reduced bank risk-taking level. This result is still valid after the robustness test of replacing the bank’s risk-taking index and replacing the Fintech development index. We used the urban innovation index as an instrumental variable to deal with the endogenous problem, and obtained consistent estimation results. The test of the intermediary effect shows that the development of Fintech will affect the bank risk-taking through channels such as the bank’s internal interest margin, management capabilities, the bank’s external competition intensity, and residents’ saving willingness. Heterogeneity analysis shows the reduction effect of Fintech on bank risk-taking is more pronounced in banks in eastern and western regions in China, the large banks and the urban commercial banks.
This study examines the external neighborhood effects of Low-Income Housing Tax Credit (LIHTC) Projects built in Santa Clara County, California from 1987 to 2000. Three types of developers have built LIHTC projects in this area: nonprofit, for-profit, and a county public housing authority. Using a difference-in-difference hedonic regression approach, this study finds that almost all the LIHTC projects examined have generated significantly positive impacts on nearby property value. In particular, the study also finds that most nonprofit projects have delivered benefits similar to those of for-profit projects. Yet projects built by some of the largest nonprofits and the county housing authority have generated the greatest neighborhood impacts. Low-income neighborhoods have also benefited more from LIHTC developments than other types of neighborhoods.
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