2018
DOI: 10.14254/2071-789x.2018/11-2/12
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Can Rural-Urban Migrants Escape from Poverty? Evidence from Four Indonesian Cities

Abstract: This study examines the probability of rural-urban migrants in Indonesia living under poverty at destination. The poverty levels is divided into three categories including poor households, near-poor households, and non-poor households, basing on the definition of Indonesian Central Bureau of Statistics's poverty lines using the expenditure approach. Using Rural-Urban Migration of Indonesia and China (RUMiCI) 2011 data, the findings show that migrants tend to be categorized as non-poor as compared to non-migran… Show more

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Cited by 4 publications
(3 citation statements)
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“…(2) There is a positive and significant correlation between indicators related to the increase in poverty (VPR and VPG) and that related to the increase in rural population (VRP). This type of relationship has been previously described in other studies carried out in depressed territories, where the population finally migrates to escape poverty [89][90][91][92][93]. (3) Demographic characteristics are correlated between them.…”
Section: Relationship Between the Territorial Changes Observedsupporting
confidence: 59%
“…(2) There is a positive and significant correlation between indicators related to the increase in poverty (VPR and VPG) and that related to the increase in rural population (VRP). This type of relationship has been previously described in other studies carried out in depressed territories, where the population finally migrates to escape poverty [89][90][91][92][93]. (3) Demographic characteristics are correlated between them.…”
Section: Relationship Between the Territorial Changes Observedsupporting
confidence: 59%
“…This study employs Indonesian household survey data taken from The National Social and Economic Survey (Susenas) 2017 conducted by the Central Bureau of Statistics of Indonesia (Badan Pusat Statistik). Susenas is a large-scale nation-wide cross sectional representative survey capturing the conditions of the social economy in all regions within Indonesia (Pratomo, 2018). Susenas data consists of approximately 300,000 households spread out across all 34 provinces and 514 cities and regencies in both rural and urban areas within Indonesia (Badan Pusat Statistik, 2017).…”
Section: Data and Methodological Approachmentioning
confidence: 99%
“…In many countries, migrants are often regarded as poor [8][9][10]. China has a large group of migrant workers.…”
Section: Introductionmentioning
confidence: 99%