Socioeconomic Segregation, School Choice, and Geography of Educational Inequality in Hong Kong


Grant Data
Project Title
Socioeconomic Segregation, School Choice, and Geography of Educational Inequality in Hong Kong
Principal Investigator
Dr Xu, Duoduo   (Principal Investigator (PI))
Co-Investigator(s)
Dr Zhou Yisu   (Co-Investigator)
Professor Wu Xiaogang   (Co-Investigator)
Dr zhang Zhuoni   (Co-Investigator)
Duration
30
Start Date
2019-01-01
Amount
578253
Conference Title
Socioeconomic Segregation, School Choice, and Geography of Educational Inequality in Hong Kong
Presentation Title
Keywords
geographic inequality, Hong Kong, residential segregation, school choice, school segregation
Discipline
Sociology,Education: Policy & Administration
HKU Project Code
16600218
Grant Type
General Research Fund (GRF)
Funding Year
2018
Status
Completed
Objectives
1. To construct a novel database comprising 585 primary schools and 510 secondary schools in Hong Kong, and compile detailed information on these schools' geocoded location, type (public/private), and quality-related indicators, etc., using open-data websites of the Hong Kong government and non-government organizations, and then to map the spatial distribution of educational opportunities across the city; 2. To collect, process, and clean 1,705 observations of school names for the child sample of the HKPSSD from 2013 to 2018. We will then link the HKPSSD dataset to the constructed school dataset via school names to obtain information on the schools children attended, and also link to the population census via geocoded addresses to obtain contextual information on children’s neighborhoods and schools; 3. To document the levels of and trends in income segregation between neighborhoods among families with and without children, and to investigate the changing patterns of children’s mobility between district of residence and district of study, using data from population census/by-census from 1996 to 2016. We will also sketch the trends in social segregation between schools and investigate the extent of disparities in quality between schools attended by children with various family backgrounds, using data from the PISA from 2000 to 2018; 4. To explore the determinants and mechanisms of parents’ school choice practices using the spatial analysis method and discrete-choice models, paying special attention to the influence of family socioeconomic status/social class, such as parental occupation and education, family income, and housing type.