Impact of Migration on Economic and Social Development: Review of Evidence and Emerging Issues

Ratha, Dilip; Mohapatra, Sanket; Scheja, Elina

doi:10.21648/arthavij/2011/v53/i3/117558

Cited by 26 publications

(27 citation statements)

References 53 publications

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“…Similarly, the surveys conducted in Ghana, Burkina Faso, Senegal and Nigeria under the African Migration Project found that the larger the household, the greater the probability that a household member emigrates (Ratha, 2011). The urban-rural monthly income differential positively and statistically significantly affects rural-urban migration, the pull versus push factors at 1% level of significance, and this study is also in agreement with Harris-Todaro model of rural-urban migration.…”

Section: Regression Results Of the Probit Modelsupporting

confidence: 86%

Dynamics and determinants of rural-urban migration in Southern Ethiopia

Eshetu¹,

Beshir²

2017

J. Dev. Agric. Econ.

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This study examined the central characteristics of migrants and determinants of rural-urban migration in Southern Ethiopia based on snow ball sampling and a survey of 665 sample migrants using descriptive and econometric analysis. The results of this study showed that 76.2% of the migrants left their home at age ranges between 15 and 25 years. Similarly, it was found that 48% of the migrants were attending junior education level, while 28 and 13% of the migrants were attending secondary and primary education levels, respectively. Moreover, 80% of migrants in the study area were not married as at the time of their migration. In addition, the study found that the main reasons for rural-urban migration in the study areas were better jobs opportunities in the urban areas (44%), rural poverty (26%), search for further education (10%), starting new business (8%), to be free from restrictive culture (8%) and better urban services (4%). The regression analysis of the Probit model indicated that age, years of schooling, relatives at receiving areas, monthly income at sending areas and family size significantly affect rural-urban migration. Policies aimed at reducing rural-urban migration should focus on creating viable farm and non-farm activities for rural unbanked youth.

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Section: Regression Results Of the Probit Modelsupporting

confidence: 86%

Dynamics and determinants of rural-urban migration in Southern Ethiopia

Eshetu¹,

Beshir²

2017

J. Dev. Agric. Econ.

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“…Thus, in the absence of well-functioning credit or insurance markets, migration can be a household investment strategy whereby one or more members are assigned to work in the local economy while others are sent abroad to act as a source of insurance or financial enhancement. Empirical evidence on the implications of migration as a family security strategy in developing countries is abundant (see Ratha et al 2011, for a review).…”

Section: Related Literaturementioning

confidence: 99%

Family Size, Sibling Rivalry and Migration: Evidence from Mexico

2016

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. Terms of use: Documents in

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“…In general, regular migration is seen to result in gains and costs for both the sending and the host countries. Ratha et al (2011) argue that the collective gains from South-North migration would in the long run outperform the income gains from comprehensive trade liberalization, one-fifth of which would accrue to the host countries in the North.…”

Section: Impact Of Migration On Countries Of Origin and Destinationmentioning

confidence: 99%

Economic Links between Education and Migration: An Overview

Handler

2018

SSRN Journal

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(English)Among the many factors governing migration, education plays a major role, though more in the long run than for short-term floods particularly of irregular migration. Concerning the long run effects, the direction of causation and the slope of the connection are debated in theory. Education not only determines the mobility of people, it also is positively correlated with rising incomes. Empirical evidence shows that for people in developing countries, who are at the low end of the income distribution, more education and rising income levels are push factors for emigration. However, beyond a certain threshold further rising incomes tend to retard migration. As a result, education exhibits an inverted-U shaped relationship with migration. Another remarkable fact is that, on average, people who migrate are better educated than non-migrants back home as well as indigenous people in the host country. Abstract (deutsch)Unter den vielen Faktoren, die auf die Migration wirken, spielt die Bildung eine wichtige Rolle, wenn auch eher langfristig als für kurzfristig ausgelöste Wanderungsschübe, insbesondere bei irregulärer Migration. Der langfristige Zusammenhang ist aber theoretisch weder hinsichtlich der Kausalitätsrichtung noch auch der Neigung eindeutig. Ein Mehr an Bildung erhöht nicht nur die Mobilität der Bevölkerung, es lässt auch höhere Einkommen erwarten. Empirische Untersuchungen an Personen in Entwicklungsländern, die sich am unteren Ende der Einkommensverteilung befinden, zeigen, dass Bildung und Einkommen als Push-Faktoren auf die Emigration wirken. Wird jedoch eine bestimmte Einkommensschwelle überschritten, hemmen noch mehr Einkommen die Emigration, woraus sich ein Gesamtzusammenhang in Form eines umgedrehten U ergibt. Bemerkenswert ist ferner, dass Migranten im Durchschnitt nicht nur besser ausgebildet sind als ihre zurückbleibenden Landsleute, sondern auch im Vergleich zur angestammten Bevölkerung im Zielland.

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Impact of Migration on Economic and Social Development: Review of Evidence and Emerging Issues

Cited by 26 publications

References 53 publications

Dynamics and determinants of rural-urban migration in Southern Ethiopia

Dynamics and determinants of rural-urban migration in Southern Ethiopia

Family Size, Sibling Rivalry and Migration: Evidence from Mexico

Economic Links between Education and Migration: An Overview

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