2020
DOI: 10.1080/21681376.2020.1746194
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Understanding migration motives and its impact on household welfare: evidence from rural–urban migration in Indonesia

Abstract: Rural-urban migration is a common demographic phenomenon in developing countries. Over the last four decades, Indonesia has had the highest rate of urbanization among Asian countries, which has been driven primarily by rural-urban migration. This type of migration has strong economic and social impacts on individuals at both the origins and the destinations. The study analyses the patterns and impacts of rural-urban migration based on the migration motives of rural households. The difference-in-differences app… Show more

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Cited by 30 publications
(29 citation statements)
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References 44 publications
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“…In movement, it is inseparable from differences in gender who are mobile to an area where movement or migration between regions is gender, with proven results in research that has been carried out where the value of sig < 0.005 which means that gender has a significant relationship to migration decisions. This is in line with the results of research from Marta et al [47] which shows that gender has a significant negative effect on migration decisions, where research from Marta et al [47] make some of the variables categorical/dummy, the same as in this study where in the variables there are categorical/ dummy variables. So that it can be explained that the higher the migration flow will reduce the movement of men and women by choosing other types of transportation and other destinations.…”
Section: Relationship Between Variablessupporting
confidence: 92%
See 1 more Smart Citation
“…In movement, it is inseparable from differences in gender who are mobile to an area where movement or migration between regions is gender, with proven results in research that has been carried out where the value of sig < 0.005 which means that gender has a significant relationship to migration decisions. This is in line with the results of research from Marta et al [47] which shows that gender has a significant negative effect on migration decisions, where research from Marta et al [47] make some of the variables categorical/dummy, the same as in this study where in the variables there are categorical/ dummy variables. So that it can be explained that the higher the migration flow will reduce the movement of men and women by choosing other types of transportation and other destinations.…”
Section: Relationship Between Variablessupporting
confidence: 92%
“…These results are in line with research conducted by Marta et al [47] which states that age does not have a significant influence on migration decisions in Indonesia, areas that do not have a significant influence between age and migration decisions are the islands of Java and Bali. All ages go to the area and are not divided evenly, the statement made Marta et al [47] the same is the case with the results of estimates and observations that have been made in this study, where the age range from 20 years to > 50 years is mostly dominated by metropolitan areas, causing metropolitan areas to be under higher pressure than other suburban areas. In addition, research from Regmi et al [51] shows that age has a significant negative influence in making migration decisions and migration destinations.…”
Section: Relationship Between Variablessupporting
confidence: 92%
“…Strategi migrasi dipandang sebagai sebuah tren atau fenomena umum yang sudah melekat pada penduduk perdesaan (Jiao et al, 2017;Kinnan et al, 2018;Marta et al, 2020). Migrasi dianggap sebagai dampak dari urbanisasi dan ketidaksetaraan pembangunan antara desa dan kota (Fasbender, 1989;Jedwab et al, 2017;Loizou et al, 2019).…”
Section: Pendahuluanunclassified
“…Additionally, agricultural extension service delivery needs to be increased via timely employment, regular training of agents and provision of reliable logistics. Marta, Fauzi, Juanda and Rustiadi (2020) performed study to evaluate the association between agricultural productivity and rural-urban migration in Indonesia. The association is first examined by approximating an food Sustainability model on nation level information covering the years between 1980 -2010.…”
Section: Stratford Peer Reviewed Journals and Book Publishing Journal...mentioning
confidence: 99%