2022
DOI: 10.1016/j.heliyon.2022.e11369
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The spatial justice of school distribution in Jakarta

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Cited by 3 publications
(4 citation statements)
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“…Meanwhile, the direct effect on wages indicates that the education level in a specific region affects the minimum wage level in that same region rather than neighboring ones (Table 5). This pattern is attributed to the concentration of education in Central and South Jakarta and the unequal distribution of schools across the Jakarta Metropolitan Area, as highlighted by Muhaimin et al (2022). Table 3 presents the outcomes of the analysis regarding the impact of the local labor market and educated workforce on the productivity of the Jakarta Metropolitan Area.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Meanwhile, the direct effect on wages indicates that the education level in a specific region affects the minimum wage level in that same region rather than neighboring ones (Table 5). This pattern is attributed to the concentration of education in Central and South Jakarta and the unequal distribution of schools across the Jakarta Metropolitan Area, as highlighted by Muhaimin et al (2022). Table 3 presents the outcomes of the analysis regarding the impact of the local labor market and educated workforce on the productivity of the Jakarta Metropolitan Area.…”
Section: Resultsmentioning
confidence: 99%
“…This effect reverberates in terms of economic activities and the regional minimum wage (Setyawan et al, 2020). As far as education is concerned, Muhaimin et al (2022) showed that achieving educational equity through the school zoning system in Jakarta hinges on the existence of spatial justice. Concurrently, Kuswardana et al (2021) discovered that in Indonesia, inter-sectoral knowledge spillover has a positive impact on productivity, especially in capital-intensive industries.…”
Section: Local Labor Market Wages and Knowledge Spillovermentioning
confidence: 99%
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“…With interdisciplinary research progress supported by geographic information systems (GISs) and other related technologies, many scholars have adopted quantitative methods to study the accessibility of PSFs. These research subjects include parks and green spaces [30,31], transportation facilities [32], medical facilities [33], educational facilities [34], etc. Accessibility measuring methods include the distancing method, potential model method, two-step moving search method, time geography method, core density method, search density method, etc.…”
Section: Literature Reviewmentioning
confidence: 99%