Spatial Sorting of Rich Versus Poor People in Jakarta

Dados Bibliográficos

ID8416355
AutoresKyri Maaike Joey Janssen (0000-0002-4606-9332, Delft University of Technology, autor correspondente), Peter Mulder (0000-0002-9578-9299, Energy Transitions (United Kingdom)), Muhammad Halley Yudhistira (0000-0003-3845-2064, University of Indonesia)
Ano2022
Volume58
Fascículo2
Páginas167-194
Data de publicação2022-05-04
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoBulletin of Indonesian Economic Studies (JOURNAL)
Identificadores do periódicoISSN: 0007-4918 • E-ISSN: 1472-7234
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00074918.2021.1876209
OpenAlexW3214091251
IdiomaEN
Citações recebidas1
Referências citadas37

We test an adjusted version of the classic monocentric-city model to explain the spatial sorting of rich versus poor people in Jakarta. We find that in Jakarta (1) the urban rich tend to live in the city centre; (2) because of extreme congestion levels, the elasticity between income and the opportunity cost of time spent commuting is higher than the elasticity between income and demand for larger plots of residential land; and (3) the motorbike is the most important and fastest mode of transport for the urban poor. These findings contrast with existing evidence from the United States. Both the logic of the monocentric-city model and empirical evidence suggest that the urban rich in Jakarta tend to cluster in the city centre. However, empirical evidence also suggests that the sorting of the rich and poor in Jakarta—as indicated by spatial variation in income, expenditure and land prices—depends not only on distance from the city centre but also on other neighbourhood characteristics, especially flood risk, crime rates and the proximity of a commercial area

Demographic economics · Econometrics · Economic geography · Economics · Empirical evidence · Empirical research · Geography · Income elasticity of demand · Neighbourhood (mathematics) · Sorting · Fiscal Policy and Economic Growth · Urban and Rural Development Challenges · Urban Transport and Accessibility