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Determinates of Migration from and Within Bangladesh: A Household Level Analysis

Received: 10 November 2021     Accepted: 29 November 2021     Published: 24 December 2021
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Abstract

The number of international migrants is continuously and rapidly growing worldwide. It increased to 244 million in 2015, up from 222 million in 2010 and 173 million in 2000. In Bangladesh, there is lack of sufficient resources and facilities to provide all its people with satisfactory working, earning, studying, health care, business and other opportunities, so, people migrate either simply from rural to urban, rural to rural and urban to urban destinations within the country or from the country to abroad either for short periods or for long duration. Lack of effective out migration policies, weak governance, and a hostile investment climate are all significant challenges to the sector's growth and attainment of the SDGs. The aim of this paper is to explore some ‘household level determinants’ for migration in Bangladesh when migration is internal and also external. Among the found determinants, researchers would like to know which determinants are more important and thus find the important reasons behind migration of the Bangladeshi people, thus enabling the proposing of policy recommendations. In the study the cross-section data of Bangladesh Household Income and Expenditure Survey (HIES) 2010 was used. In the survey data, 612 Primary Sampling Unit (PSU) were selected systematically from 16 Strata and a total of 12,240 households was present. Probit model was used to analyze the determinants of the household migration decision. The study found that age of household head, farm area, value of other assets, number of young dependents on family head, economically favored districts are significant determinants of migration. Regression results shows that increase in ‘farm area’ and ‘value of other assets’ increases the probability of both internal and external migration. Households having loans are more likely to take a decision for internal migration. The study found that external migration is more popular among Bangladeshi households than internal district to district migration. In case of both internal and external migration, probability of migration is greater from rural area than from urban area. Oil rich Middle East countries and OECD countries are the main destinations for external migrants and earnings not very attractive as most migrants work there as unskilled, semi-skilled or low-skilled workers. Government agencies should take steps to provide poor or insolvent households with appropriate information and guidance. Loan facilities for these people could be arranged so that for going to a job outside the country they need not sell their last assets.

Published in International Journal of Sustainable Development Research (Volume 7, Issue 4)
DOI 10.11648/j.ijsdr.20210704.15
Page(s) 117-127
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Migration, Household Level, Probit, Rural, Internal, External, Bangladesh

References
[1] Akhter, Shamima; Bauer, Siegfried (2014): Household Level Determinants of Rural-Urban Migration in Bangladesh, International Journal of Social, Behavioral, Educational, Economic and Management Engineering Vol: 8, No: 1, 2014, World Academy of Science, Engineering and Technology, http://waset.org/publications/9997037/household-level-determinants-of-rural-urban-migration-in-bangladesh.
[2] Bangladesh Bureau of Statistics Report of the Household Income and Expenditure Survey 2010.
[3] Bangladesh Bureau of Statistics Report on Sample Vital Registration System 2012.
[4] Grubel, Herbert G. and Anthony Scott. (1977): The brain drain: determinants, measurements and welfare effects, Wilfrid Laurier University Press, Ontario, Canada.
[5] International Migration Report 2015 (Highlights), Department of Economic and Social Affairs, United Nations, New York, 2016.
[6] Johnson, Nadja (2009): Analysis and Assessment of the “Brain Drain” Phenomenon and its Effects on Caribbean Countries, Florida Atlantic Comparative Studies Journal, Vol. 11, 2008-2009, Florida Atlantic University, Department of Comparative Studies. http://home.fau.edu/peralta/web/FACS/braindrain.pdf.
[7] Kaufmann, Florian (2007): Emigrant or Sojourner? Migration Intensity and Its Determinants, working paper series no. 154, Political Economy Research Institute, University of Massachusetts Amherst, http://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1125&context=peri_workingpapers.
[8] Malek, M. A.; Usami, Koichi (2010): Do non-farm incomes really matter for poverty among small households in rural Bangladesh? A case of advanced villages, Journal of Development and Agricultural Economics Vol. 2 (7), pp. 250-267, July 2010 http://www.academicjournals.org/journal/JDAE/article-full-text-pdf/0DD026E1760.
[9] Ullah, Muhammad Shariat (2012): Determinants of International Labour Migration from Bangladesh: A Gravity Model of Panel Data, Graduate School of Economics, Ritsumeikan University, http://www.ritsumei.ac.jp/acd/re/ssrc/result/memoirs/kiyou25/25-06.pdf.
[10] World Bank Global Economic Prospects, January 2016, https://www.worldbank.org/content/dam/Worldbank/GEP/GEP2016a/Global-Economic-Prospects-January-2016-Spillovers-amid-weak-growth.pdf.
[11] United Nations Department of Economic and Social Affairs (UNDESA). (2019). International migrant stock 2019. https://www.un.org/en/development/desa/population/migration/data/estimates2/estimates19.as.
[12] Sarker, M. M. R., 2017. Migration Flows in South Asia. In S. Bandyopadhyay, A. Torre, P. Casaca and T. Ponce Dentinho, eds. Regional Cooperation in South Asia: Socio-economic, Spatial, Ecological and Institutional Aspects. pp. 47-68. Berlin: Springer.
[13] Macrotrends, 2021; Bangladesh Population Density 1950-2021; Available: https://www.macrotrends.net/countries/BGD/bangladesh/population-density.
[14] Asian Development Bank, 2019; Bangladesh and ADB; Available: https://www.adb.org/countries/bangladesh/poverty.
[15] World Bank, 2021; “The World Bank in Bangladesh Country Results”; Available: https://www.worldbank.org/en/country/bangladesh.
[16] The World Bank Group, 2021; World Bank national accounts data, and OECD National Accounts data files; “Economic Policy & Debt: National accounts: US$ at current prices: Aggregate indicators”; Available: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=BD.
[17] Sarker, M. M. R. 2012. Spatial modeling of households’ knowledge about arsenic pollution in Bangladesh. Social Science & Medicine, 74 (8) pp 1232-1239.
[18] Sarker, M. M. R., Nishat, N. I., Parvin, M. M., & Fagun, A. N. 2021. Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation, International Journal of Health Economics and Policy. Vol. 6, No. 3, 2021, pp. 92-99.
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  • APA Style

    Shaikh Shamim Islam, Mosammod Mahamuda Parvin, Anika Nawar Fagun, M. Mizanur Rahman Sarker. (2021). Determinates of Migration from and Within Bangladesh: A Household Level Analysis. International Journal of Sustainable Development Research, 7(4), 117-127. https://doi.org/10.11648/j.ijsdr.20210704.15

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    ACS Style

    Shaikh Shamim Islam; Mosammod Mahamuda Parvin; Anika Nawar Fagun; M. Mizanur Rahman Sarker. Determinates of Migration from and Within Bangladesh: A Household Level Analysis. Int. J. Sustain. Dev. Res. 2021, 7(4), 117-127. doi: 10.11648/j.ijsdr.20210704.15

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    AMA Style

    Shaikh Shamim Islam, Mosammod Mahamuda Parvin, Anika Nawar Fagun, M. Mizanur Rahman Sarker. Determinates of Migration from and Within Bangladesh: A Household Level Analysis. Int J Sustain Dev Res. 2021;7(4):117-127. doi: 10.11648/j.ijsdr.20210704.15

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  • @article{10.11648/j.ijsdr.20210704.15,
      author = {Shaikh Shamim Islam and Mosammod Mahamuda Parvin and Anika Nawar Fagun and M. Mizanur Rahman Sarker},
      title = {Determinates of Migration from and Within Bangladesh: A Household Level Analysis},
      journal = {International Journal of Sustainable Development Research},
      volume = {7},
      number = {4},
      pages = {117-127},
      doi = {10.11648/j.ijsdr.20210704.15},
      url = {https://doi.org/10.11648/j.ijsdr.20210704.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsdr.20210704.15},
      abstract = {The number of international migrants is continuously and rapidly growing worldwide. It increased to 244 million in 2015, up from 222 million in 2010 and 173 million in 2000. In Bangladesh, there is lack of sufficient resources and facilities to provide all its people with satisfactory working, earning, studying, health care, business and other opportunities, so, people migrate either simply from rural to urban, rural to rural and urban to urban destinations within the country or from the country to abroad either for short periods or for long duration. Lack of effective out migration policies, weak governance, and a hostile investment climate are all significant challenges to the sector's growth and attainment of the SDGs. The aim of this paper is to explore some ‘household level determinants’ for migration in Bangladesh when migration is internal and also external. Among the found determinants, researchers would like to know which determinants are more important and thus find the important reasons behind migration of the Bangladeshi people, thus enabling the proposing of policy recommendations. In the study the cross-section data of Bangladesh Household Income and Expenditure Survey (HIES) 2010 was used. In the survey data, 612 Primary Sampling Unit (PSU) were selected systematically from 16 Strata and a total of 12,240 households was present. Probit model was used to analyze the determinants of the household migration decision. The study found that age of household head, farm area, value of other assets, number of young dependents on family head, economically favored districts are significant determinants of migration. Regression results shows that increase in ‘farm area’ and ‘value of other assets’ increases the probability of both internal and external migration. Households having loans are more likely to take a decision for internal migration. The study found that external migration is more popular among Bangladeshi households than internal district to district migration. In case of both internal and external migration, probability of migration is greater from rural area than from urban area. Oil rich Middle East countries and OECD countries are the main destinations for external migrants and earnings not very attractive as most migrants work there as unskilled, semi-skilled or low-skilled workers. Government agencies should take steps to provide poor or insolvent households with appropriate information and guidance. Loan facilities for these people could be arranged so that for going to a job outside the country they need not sell their last assets.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Determinates of Migration from and Within Bangladesh: A Household Level Analysis
    AU  - Shaikh Shamim Islam
    AU  - Mosammod Mahamuda Parvin
    AU  - Anika Nawar Fagun
    AU  - M. Mizanur Rahman Sarker
    Y1  - 2021/12/24
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ijsdr.20210704.15
    DO  - 10.11648/j.ijsdr.20210704.15
    T2  - International Journal of Sustainable Development Research
    JF  - International Journal of Sustainable Development Research
    JO  - International Journal of Sustainable Development Research
    SP  - 117
    EP  - 127
    PB  - Science Publishing Group
    SN  - 2575-1832
    UR  - https://doi.org/10.11648/j.ijsdr.20210704.15
    AB  - The number of international migrants is continuously and rapidly growing worldwide. It increased to 244 million in 2015, up from 222 million in 2010 and 173 million in 2000. In Bangladesh, there is lack of sufficient resources and facilities to provide all its people with satisfactory working, earning, studying, health care, business and other opportunities, so, people migrate either simply from rural to urban, rural to rural and urban to urban destinations within the country or from the country to abroad either for short periods or for long duration. Lack of effective out migration policies, weak governance, and a hostile investment climate are all significant challenges to the sector's growth and attainment of the SDGs. The aim of this paper is to explore some ‘household level determinants’ for migration in Bangladesh when migration is internal and also external. Among the found determinants, researchers would like to know which determinants are more important and thus find the important reasons behind migration of the Bangladeshi people, thus enabling the proposing of policy recommendations. In the study the cross-section data of Bangladesh Household Income and Expenditure Survey (HIES) 2010 was used. In the survey data, 612 Primary Sampling Unit (PSU) were selected systematically from 16 Strata and a total of 12,240 households was present. Probit model was used to analyze the determinants of the household migration decision. The study found that age of household head, farm area, value of other assets, number of young dependents on family head, economically favored districts are significant determinants of migration. Regression results shows that increase in ‘farm area’ and ‘value of other assets’ increases the probability of both internal and external migration. Households having loans are more likely to take a decision for internal migration. The study found that external migration is more popular among Bangladeshi households than internal district to district migration. In case of both internal and external migration, probability of migration is greater from rural area than from urban area. Oil rich Middle East countries and OECD countries are the main destinations for external migrants and earnings not very attractive as most migrants work there as unskilled, semi-skilled or low-skilled workers. Government agencies should take steps to provide poor or insolvent households with appropriate information and guidance. Loan facilities for these people could be arranged so that for going to a job outside the country they need not sell their last assets.
    VL  - 7
    IS  - 4
    ER  - 

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Author Information
  • International Mother Language Institute, Segunbagicha, Dhaka, Banglades

  • Department of Management and Finance, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

  • Department of Agribusiness and Marketing, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

  • Department of Agricultural Statistics, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

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