Welfare effect of international migration on the left-behind in Ghana: Evidence from machine learning

被引:5
|
作者
Martey, Edward [1 ,2 ]
Armah, Ralph [3 ]
机构
[1] CSIR Savanna Agr Res Inst CSIR SARI, Socioecon Sect, POB TL 52, Tamale, Ghana
[2] Univ Illinois, Dept Agr & Appl Econ, 414 Mumford Hall,1301 W Gregory Dr, Urbana, IL 61801 USA
[3] Univ Ghana, Inst Stat Social & Econ Res, Coll Humanities, POB LG 74, Legon, Accra, Ghana
关键词
international migration; welfare; labor supply; machine learning; Ghana; REMITTANCES; INVESTMENT; POVERTY; SELECTION; IMPACT; LABOR;
D O I
10.1093/migration/mnaa025
中图分类号
C921 [人口统计学];
学科分类号
摘要
This article examines the effect of international migration on household expenditure, labor outcomes, and poverty on the left-behind household members in Ghana using nationally representative data. The study contributes to the literature in terms of the methodology employed to reinforce the welfare effect of international migration in a developing country like Ghana. The results suggest that international migration increases household expenditures, which is largely driven by investments relative to expenditure on consumption goods. In addition, transfer of remittances to left-behind household members by migrants results in a reduction of their weekly working hours in the labor market and modestly reduces household poverty. The findings of the study suggest that the gains from international migration can be consolidated with favorable policy environment that ensures flexible conditions and terms of borrowing from banks to finance the initial expenditure related to migration. In addition, reduction in remittance transfer charges is likely to increase transfer through the formal systems, which can be captured and used for future planning.
引用
收藏
页码:872 / 901
页数:30
相关论文
共 50 条
  • [41] Parental Migration, Intergenerational Obligations and the Paradox for Left-Behind Boys in Rural China
    Zhang, Nan
    Chandola, Tarani
    Becares, Laia
    Callery, Peter
    ASIAN POPULATION STUDIES, 2016, 12 (01) : 68 - 87
  • [42] Effects of International Labour Migration on the Mental Health and Well-Being of Left-Behind Children: A Systematic Literature Review
    Antia, Khatia
    Boucsein, Johannes
    Deckert, Andreas
    Dambach, Peter
    Racaite, Justina
    Surkiene, Gene
    Jaenisch, Thomas
    Horstick, Olaf
    Winkler, Volker
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (12) : 1 - 17
  • [43] Offspring migration and nutritional status of left-behind older adults in
    Liu, Chang
    Eriksson, Tor
    Yi, Fujin
    ECONOMICS & HUMAN BIOLOGY, 2021, 41
  • [44] Irrigated Agriculture and Welfare: Panel Data Evidence from Southern Ghana
    Okyere, Charles Yaw
    Ahene-Codjoe, Ama Asantewah
    EUROPEAN JOURNAL OF DEVELOPMENT RESEARCH, 2022, 34 (02) : 583 - 610
  • [45] The cumulative impact of parental migration on schooling of left-behind children in rural China
    Dong, Yongqing
    Wang, Weidong
    Li, Shaoping
    Zhang, Linxiu
    JOURNAL OF RURAL STUDIES, 2021, 86 : 527 - 541
  • [46] From Left-Behind Children to Youth Labor Migrants: The Impact of Household Networks, Gendered Migration, and Relay Migration in Southeast Asia
    Chow, Cheng
    Zhou, Xiaochen
    Fu, Yao
    Jampaklay, Aree
    Jordan, Lucy P.
    SOCIAL SCIENCES-BASEL, 2023, 12 (03):
  • [47] How does Urban-to-Urban Migration of Youth Affect the Health of Left-Behind Parents? Evidence from China
    Zhao, Jing
    Shangguan, Yiwen
    JOURNAL OF FAMILY AND ECONOMIC ISSUES, 2025, 46 (01) : 35 - 53
  • [48] Childhood left-behind experience and adulthood cognitive abilities: evidence from China
    Wang, Yajun
    Zheng, Xiaodong
    Tang, Bin
    Jin, Qiang
    Fang, Xiangming
    CURRENT PSYCHOLOGY, 2024, 43 (07) : 6371 - 6383
  • [49] Does migration benefit the schooling of children left behind? Evidence from rural northwest China
    Hu, Feng
    DEMOGRAPHIC RESEARCH, 2013, 29 : 31 - 70
  • [50] Effects of parental migration on early childhood development of left-behind children in Bangladesh: Evidence from a nationally representative survey
    Khanam, Shimlin Jahan
    Khan, Md Nuruzzaman
    PLOS ONE, 2023, 18 (11):