Abstract

AbstractSocioeconomic segregation has become a common phenomenon, both in the Global North and Global South, and highly relates to income inequality. The merging of these two notions affects the geography of residential areas which are based on the socio-occupational composition. This chapter focuses on the Jakarta Metropolitan Area (JMA). Not only is Jakarta the largest metropolitan area in Southeast Asia, it is also one of the most dynamic. Batavia, the colonial capital of the former Dutch East Indies in the first half of the twentieth century, was a small urban area of approximately 150,000 residents. In the second half of the century, Batavia became Jakarta, a megacity of 31 million people and the capital of independent Indonesia was beset with most of the same urban problems experienced in twenty-first-century Southeast Asia, including poverty, income inequality, and socioeconomic segregation. This study aims to identify the correlation among income inequality, socioeconomic segregation, and other institutional and contextual factors which caused residential segregation in JMA. The analysis consists of two stages. First, we examine income inequality measured by the Gini Index as well as the occupational structure based on the International Standard Classification of Occupations (ISCO). Second, we investigate residential segregation by using the Dissimilarity Index as a result of socioeconomic intermixing in residential areas. The data in this study comes from multiple sources including Indonesia’s Central Bureau of Statistics, Indonesia’s National Socio-economic Survey (Susenas), Indonesia’s Economic Census, Jakarta’s Regional Bureau of Statistics, and policies related to the housing system and investment in the JMA. This study also produces maps of socioeconomic segregation patterns from several sources including Jakarta’s Geospatial Information Centre, Jakarta’s Spatial Plan Information System, and the Indonesian Poverty Map by the SMERU Research Institute.

Highlights

  • Socioeconomic segregation has become a common phenomenon, both in the Global North and the Global South, and is strongly related to income inequality

  • In the second half of the twentieth century, Batavia became Jakarta, a megacity of 31 million people and the capital of independent Indonesia was beset with most of the same urban problems experienced in twenty-first-century Southeast Asia

  • We examine income inequality measured by the Gini Index as well as the occupational structure based on the International Standard Classification of Occupations (ISCO)

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Summary

Introduction

Socioeconomic segregation has become a common phenomenon, both in the Global North and the Global South, and is strongly related to income inequality. Many modern towers in Jakarta are surrounded by kampungs, which are unplanned, incrementally developed areas with small plots of land and low-quality building structures and materials and are often associated with slums (Winarso 2010). This chapter explores income inequality and residential segregation between socioeconomic groups in Jakarta, and the institutional and contextual factors that cause residential segregation in the metropolitan region of Jakarta. This chapter uses data from multiple sources including Indonesia’s Central Bureau of Statistics, the National Socio-Economic Survey (Susenas), the National Labor Force Survey (Sakernas), and the Jakarta’s Regional Bureau of Statistics, as well as policies related to the housing system and investment in the metropolitan region of Jakarta. The study will create maps representing socioeconomic segregation patterns and the data will be obtained from several sources including Jakarta’s Geospatial Information Centre, Jakarta’s Spatial Plan Information System, and the Indonesian Poverty Map by the SMERU Research Institute

Jakarta
Rapid Urbanization and Income Inequality
Changes in Occupational Structures
Levels of Residential Segregation Between Socioeconomic Groups
Geography of Residential Segregation Between Socioeconomic Groups
Findings
Conclusion
Full Text
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