Kemiskinan dan Migrasi: Analisis Data SAKERTI 2000 dan 2007

Nabila, Aulia; Pardede, Elda Luciana

doi:10.21002/jepi.v14i2.547

Cited by 6 publications

(7 citation statements)

References 5 publications

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“…Income also influences aspiration (Czaika & Vothknecht, 2014) because people with the better economic situation may have a higher aspiration of success that would drive migration and determines migration's economic outcome (Waddington & Sabates-Wheeler, 2003). However, for the Indonesian case, a positive relationship between migration and per capita expenditure decile was found (Deb & Seck, 2009) and that the poor were less likely to migrate than the non-poor, except for the case of urban-to-urban migration (Nabila & Pardede, 2014). Therefore, we follow the findings of these Indonesian studies and expect income to be positively related to migration.…”

Section: Introductionmentioning

confidence: 64%

“…These results raise an interesting discussion regarding the phase of mobility transition in Indonesia. From previous study using the IFLS (Nabila & Pardede, 2014), we calculated that between 2000 and 2007, the percentage of migrants from urban areas is 21.38 per cent (18.05 per cent to urban areas + 3.33 per cent to rural areas) while the percentage of migrants from rural areas is only 18.34 per cent (13.68 per cent to rural areas + 4.66 per cent to urban areas). Rural-to-urban migration was accounted for only 13 per cent out of all migrations.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, this period also covers Indonesia while it underwent massive structural transformation such as the downfall of Suharto in 1998, the beginning of regional autonomy and fiscal decentralisation in 1999 (Firman, 2004), and the urbanisation process which resulted in the share of the population living in rural areas dropping to about 50 per cent (Firman, 2017). Except for Susanti and Damayanti (2015) who used three waves of IFLS 1 , other migration studies using the IFLS only employed two waves of data or comparison between two points in time (Czaika & Vothknecht, 2014;Liu & Yamauchi, 2014;Nabila & Pardede, 2014). Our application of five waves serves to better average out the period specific-shocks discussed above.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Internal migration in Indonesia: new insights from longitudinal data

Pardede

McCann

Venhorst

2020

Asian Population Studies

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This study examines the roles of individual and household characteristics in internal migration in Indonesia for the first time using the five waves of Indonesia Family Life Survey. Our analysis extends previous research by using a longer period to capture mobility behaviour, by comparing changing of residence across three spatial scales, by incorporating the interaction of relation to household head and gender, and by differentiating migration involving the interaction of Sumatra, Java, other regions and ruralurban areas.The multinomial logistic regression results are consistent with international observations relating to age, education, marital status, previous migration, dependents, family size, and income. Some unique features from this study are the results which show that the probability of migrating by gender varies according to one's relation to the household head, which highlights the importance of gender and family structure in migration decision-making. Residents of Java have lower probabilities of migrating, compared to non-Java residents for smaller spatial scale migrations, but are relatively likely to engage in inter-provincial migration. Urban-originating moves are more likely than rural-originating moves for all spatial scales except for Sumatra where its rural residents have a higher probability of migrating inter-provincially than its urban residents.

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Section: Introductionmentioning

confidence: 64%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Internal migration in Indonesia: new insights from longitudinal data

Pardede

McCann

Venhorst

2020

Asian Population Studies

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“…Hal ini sejalan dengan temuan Abella (2013) yang mengklaim bahwa bertambahnya jumlah tanggungan mengakibatkan meningkatnya biaya hidup sehingga pekerja terdorong untuk melakukan mobilitas pekerjaan. Artinya, pekerja dengan status kawin dan jumlah anggota rumah tangga yang banyak memiliki kecenderungan terbesar untuk melakukan mobilitas sektoral (Nabila & Pardede, 2014).…”

Section: Karakteristik Sosial-demografi Pekerjaunclassified

Dampak Kemiskinan Terhadap Pola Mobilitas Tenaga Kerja Antarsektor Di Indonesia

Pratiwi

Ashar

Syafitri

2020

JKI

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Mobility can act as a stepping stone to get out of poverty. This research examines whether the effect of poverty encouraging or inhibiting the mobility of workers across sectors. By using data from the 2018 Indonesia National Labor Force Survey (Sakernas) that cover 8,869 respondents, this study applies multinomial regression models to analyse inter-sector mobility types among labors in Indonesia. The results show that low-income workers in the industrial and service sectors tend to have a 4.8% and 6.3% greater probability of transferring to the agricultural sector. However, agricultural workers that suffer from poverty choose to survive in the same sector due to the high cost of inter-sector mobility. Other findings show that older age and higher education level decreased the propensity to move across sectors. In the efforts to alleviate poverty, the role of the government is expected to be seen in two ways. Firstly, by facilitating workers to move into productive sectors, i.e. industrial and service sectors, and secondly, by increasing the productivity of the agricultural sector.

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“…Among the main causes for migration, according to Nabila and Pardede (2014), is the migrant's place of origin, namely bad economic circumstances that compel a person to leave the location where they presently dwell. Poverty is a topic that is often brought up in conversation.…”

Section: Introductionmentioning

confidence: 99%

Impact of Decrease in Cultural Tourism Visits on Gross Regional Domestic Product of Blitar Regency During The Covid-19 Pandemic

Arifah

Auwalin

Qodrunnada

et al. 2021

JIAE

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The COVID-19 virus has become a global pandemic and has spread to various countries, including Indonesia. The pandemic causes turmoil in the health sector and the economy. The impacts of the pandemic are not only at the national level but also the provincial and district level. The district of Blitar is no exception. Blitar is a district in East Java Province with a diverse cultural heritage. Cultural tourism directly contributes to the regional revenue, which can help the recovery of the local economy. This study examines the impact of the COVID-19 pandemic on the number of cultural tourism visits and its implications on the Gross Regional Domestic Product (GRDP) of Blitar. The results show that while the tourist visits contribute to the GRDP of Blitar, the contribution has been negatively impacted by the pandemic.

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Kemiskinan dan Migrasi: Analisis Data SAKERTI 2000 dan 2007

Cited by 6 publications

References 5 publications

Internal migration in Indonesia: new insights from longitudinal data

Internal migration in Indonesia: new insights from longitudinal data

Dampak Kemiskinan Terhadap Pola Mobilitas Tenaga Kerja Antarsektor Di Indonesia

Impact of Decrease in Cultural Tourism Visits on Gross Regional Domestic Product of Blitar Regency During The Covid-19 Pandemic

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