Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation

Md. Mizanur Rahman Sarker; Nazneen Islam Nishat; Mosammod Mahamuda Parvin; Anika Nawar Fagun

doi:doi:10.11648/j.hep.20210603.13

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Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation

Md. Mizanur Rahman Sarker, Nazneen Islam Nishat, Mosammod Mahamuda Parvin, Anika Nawar Fagun

Published in International Journal of Health Economics and Policy (Volume 6, Issue 3)

Received: 28 March 2021 Accepted: 13 April 2021 Published: 12 October 2021

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Abstract

Bangladesh is one of the most densely populated countries of the world (1278 persons per sq. km.) but it represents one of the few countries in developing world where the pace of fertility decline has been unparalleled over the last few decades despite pervasive poverty and under-development. It has been passing through a critical phase of fertility transition. The data was collected for this research from the following five sources: i. Bangladesh Multiple Indicator Cluster Survey (MICS) 2012-13 for fertility rate, contraceptive use, proportion of children engaged in work and access to mass media and ICT of women. ii. Statistical Yearbook of Bangladesh for literacy rate, iii. Population Census 2011 for population density characteristics of different districts, iv. Directorate of Agricultural Extension personnel for daily average wage rate of agricultural labor and v. Bangladesh Poverty Map, 2014 for the level of poverty of different districts. This study contributes to basic knowledge of the structural determinants of fertility rate in the Bangladesh by analyzing the expanded set of determinants at district level, namely contraceptive use, literacy rate, daily wage rate of agricultural labor, population density, child labor, access to mass media and ICT of women and poverty level using spatial data analysis techniques. In this study, the binary join matrix/binary contiguity matrix and inverse distance spatial weight matrix techniques are used to capture spatial dependence in the data. This analysis extends the spatial model by allowing spatial dependence to vary across divisions and regions. The results strongly indicate that the fertility associated with contraceptive use, literacy rate, daily wage rate of agricultural labor, child labor, poverty level and their neighbors’ districts. These results suggest that district should pay particular attention to policies in neighboring districts and policy maker should realize that declining the fertility rate in neighboring districts are likely to affect fertility rate in their own district, therefore, a key issue for policy development is how to stimulate the contraceptive use, educational attainment, promote daily wage of agricultural labor and decrease child labor and poverty level could control the fertility and result in sustainable development and poverty alleviation of regions that are both high fertility and economically lagging. This needs to be addressed both in terms of national level policies and more emphatically within regional and sub-regional development strategies than it has been hither.

Published in	International Journal of Health Economics and Policy (Volume 6, Issue 3)
DOI	10.11648/j.hep.20210603.13
Page(s)	92-99
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

Spatial Modeling, Fertility Rate, Poverty, Bangladesh

References

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[8]	BBS (2015). Population Monograph Of Bangladesh. Fertility Differentials In Bangladesh: Trends And Determinants. Ministry of Planning, Government of the People’s Republic of Bangladesh. Dhaka: Bangladesh Bureau of Statistics.
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[18]	Khuda, B., & Hossain, M. B. (1996). Fertility decline in Bangladesh: toward an understanding of major causes. Health Transition Review, Supplement 6 1996, 155-167.
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[20]	Sarker, M. M. R. (2012). Spatial modeling of households’ knowledge about arsenic pollution in Bangladesh. Social Science & Medicine 74, 1232-e1239.
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Md. Mizanur Rahman Sarker, Nazneen Islam Nishat, Mosammod Mahamuda Parvin, Anika Nawar Fagun. (2021). Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation. International Journal of Health Economics and Policy, 6(3), 92-99. https://doi.org/10.11648/j.hep.20210603.13

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ACS Style

Md. Mizanur Rahman Sarker; Nazneen Islam Nishat; Mosammod Mahamuda Parvin; Anika Nawar Fagun. Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation. Int. J. Health Econ. Policy 2021, 6(3), 92-99. doi: 10.11648/j.hep.20210603.13

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AMA Style

Md. Mizanur Rahman Sarker, Nazneen Islam Nishat, Mosammod Mahamuda Parvin, Anika Nawar Fagun. Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation. Int J Health Econ Policy. 2021;6(3):92-99. doi: 10.11648/j.hep.20210603.13

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@article{10.11648/j.hep.20210603.13,
  author = {Md. Mizanur Rahman Sarker and Nazneen Islam Nishat and Mosammod Mahamuda Parvin and Anika Nawar Fagun},
  title = {Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation},
  journal = {International Journal of Health Economics and Policy},
  volume = {6},
  number = {3},
  pages = {92-99},
  doi = {10.11648/j.hep.20210603.13},
  url = {https://doi.org/10.11648/j.hep.20210603.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hep.20210603.13},
  abstract = {Bangladesh is one of the most densely populated countries of the world (1278 persons per sq. km.) but it represents one of the few countries in developing world where the pace of fertility decline has been unparalleled over the last few decades despite pervasive poverty and under-development. It has been passing through a critical phase of fertility transition. The data was collected for this research from the following five sources: i. Bangladesh Multiple Indicator Cluster Survey (MICS) 2012-13 for fertility rate, contraceptive use, proportion of children engaged in work and access to mass media and ICT of women. ii. Statistical Yearbook of Bangladesh for literacy rate, iii. Population Census 2011 for population density characteristics of different districts, iv. Directorate of Agricultural Extension personnel for daily average wage rate of agricultural labor and v. Bangladesh Poverty Map, 2014 for the level of poverty of different districts. This study contributes to basic knowledge of the structural determinants of fertility rate in the Bangladesh by analyzing the expanded set of determinants at district level, namely contraceptive use, literacy rate, daily wage rate of agricultural labor, population density, child labor, access to mass media and ICT of women and poverty level using spatial data analysis techniques. In this study, the binary join matrix/binary contiguity matrix and inverse distance spatial weight matrix techniques are used to capture spatial dependence in the data. This analysis extends the spatial model by allowing spatial dependence to vary across divisions and regions. The results strongly indicate that the fertility associated with contraceptive use, literacy rate, daily wage rate of agricultural labor, child labor, poverty level and their neighbors’ districts. These results suggest that district should pay particular attention to policies in neighboring districts and policy maker should realize that declining the fertility rate in neighboring districts are likely to affect fertility rate in their own district, therefore, a key issue for policy development is how to stimulate the contraceptive use, educational attainment, promote daily wage of agricultural labor and decrease child labor and poverty level could control the fertility and result in sustainable development and poverty alleviation of regions that are both high fertility and economically lagging. This needs to be addressed both in terms of national level policies and more emphatically within regional and sub-regional development strategies than it has been hither.},
 year = {2021}
}

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TY - JOUR
T1 - Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation
AU - Md. Mizanur Rahman Sarker
AU - Nazneen Islam Nishat
AU - Mosammod Mahamuda Parvin
AU - Anika Nawar Fagun
Y1 - 2021/10/12
PY - 2021
N1 - https://doi.org/10.11648/j.hep.20210603.13
DO - 10.11648/j.hep.20210603.13
T2 - International Journal of Health Economics and Policy
JF - International Journal of Health Economics and Policy
JO - International Journal of Health Economics and Policy
SP - 92
EP - 99
PB - Science Publishing Group
SN - 2578-9309
UR - https://doi.org/10.11648/j.hep.20210603.13
AB - Bangladesh is one of the most densely populated countries of the world (1278 persons per sq. km.) but it represents one of the few countries in developing world where the pace of fertility decline has been unparalleled over the last few decades despite pervasive poverty and under-development. It has been passing through a critical phase of fertility transition. The data was collected for this research from the following five sources: i. Bangladesh Multiple Indicator Cluster Survey (MICS) 2012-13 for fertility rate, contraceptive use, proportion of children engaged in work and access to mass media and ICT of women. ii. Statistical Yearbook of Bangladesh for literacy rate, iii. Population Census 2011 for population density characteristics of different districts, iv. Directorate of Agricultural Extension personnel for daily average wage rate of agricultural labor and v. Bangladesh Poverty Map, 2014 for the level of poverty of different districts. This study contributes to basic knowledge of the structural determinants of fertility rate in the Bangladesh by analyzing the expanded set of determinants at district level, namely contraceptive use, literacy rate, daily wage rate of agricultural labor, population density, child labor, access to mass media and ICT of women and poverty level using spatial data analysis techniques. In this study, the binary join matrix/binary contiguity matrix and inverse distance spatial weight matrix techniques are used to capture spatial dependence in the data. This analysis extends the spatial model by allowing spatial dependence to vary across divisions and regions. The results strongly indicate that the fertility associated with contraceptive use, literacy rate, daily wage rate of agricultural labor, child labor, poverty level and their neighbors’ districts. These results suggest that district should pay particular attention to policies in neighboring districts and policy maker should realize that declining the fertility rate in neighboring districts are likely to affect fertility rate in their own district, therefore, a key issue for policy development is how to stimulate the contraceptive use, educational attainment, promote daily wage of agricultural labor and decrease child labor and poverty level could control the fertility and result in sustainable development and poverty alleviation of regions that are both high fertility and economically lagging. This needs to be addressed both in terms of national level policies and more emphatically within regional and sub-regional development strategies than it has been hither.
VL - 6
IS - 3
ER -

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Author Information

Md. Mizanur Rahman Sarker

Department of Agricultural Statistics, Faculty of Agribusiness Management, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
Nazneen Islam Nishat

Department of Agricultural Economics, Bangladesh Agricultural University, Mymensingh, Bangladesh
Mosammod Mahamuda Parvin

Department of Management and Finance, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
Anika Nawar Fagun

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

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APA Style

Md. Mizanur Rahman Sarker, Nazneen Islam Nishat, Mosammod Mahamuda Parvin, Anika Nawar Fagun. (2021). Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation. International Journal of Health Economics and Policy, 6(3), 92-99. https://doi.org/10.11648/j.hep.20210603.13

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ACS Style

Md. Mizanur Rahman Sarker; Nazneen Islam Nishat; Mosammod Mahamuda Parvin; Anika Nawar Fagun. Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation. Int. J. Health Econ. Policy 2021, 6(3), 92-99. doi: 10.11648/j.hep.20210603.13

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AMA Style

Md. Mizanur Rahman Sarker, Nazneen Islam Nishat, Mosammod Mahamuda Parvin, Anika Nawar Fagun. Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation. Int J Health Econ Policy. 2021;6(3):92-99. doi: 10.11648/j.hep.20210603.13

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@article{10.11648/j.hep.20210603.13,
  author = {Md. Mizanur Rahman Sarker and Nazneen Islam Nishat and Mosammod Mahamuda Parvin and Anika Nawar Fagun},
  title = {Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation},
  journal = {International Journal of Health Economics and Policy},
  volume = {6},
  number = {3},
  pages = {92-99},
  doi = {10.11648/j.hep.20210603.13},
  url = {https://doi.org/10.11648/j.hep.20210603.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hep.20210603.13},
  abstract = {Bangladesh is one of the most densely populated countries of the world (1278 persons per sq. km.) but it represents one of the few countries in developing world where the pace of fertility decline has been unparalleled over the last few decades despite pervasive poverty and under-development. It has been passing through a critical phase of fertility transition. The data was collected for this research from the following five sources: i. Bangladesh Multiple Indicator Cluster Survey (MICS) 2012-13 for fertility rate, contraceptive use, proportion of children engaged in work and access to mass media and ICT of women. ii. Statistical Yearbook of Bangladesh for literacy rate, iii. Population Census 2011 for population density characteristics of different districts, iv. Directorate of Agricultural Extension personnel for daily average wage rate of agricultural labor and v. Bangladesh Poverty Map, 2014 for the level of poverty of different districts. This study contributes to basic knowledge of the structural determinants of fertility rate in the Bangladesh by analyzing the expanded set of determinants at district level, namely contraceptive use, literacy rate, daily wage rate of agricultural labor, population density, child labor, access to mass media and ICT of women and poverty level using spatial data analysis techniques. In this study, the binary join matrix/binary contiguity matrix and inverse distance spatial weight matrix techniques are used to capture spatial dependence in the data. This analysis extends the spatial model by allowing spatial dependence to vary across divisions and regions. The results strongly indicate that the fertility associated with contraceptive use, literacy rate, daily wage rate of agricultural labor, child labor, poverty level and their neighbors’ districts. These results suggest that district should pay particular attention to policies in neighboring districts and policy maker should realize that declining the fertility rate in neighboring districts are likely to affect fertility rate in their own district, therefore, a key issue for policy development is how to stimulate the contraceptive use, educational attainment, promote daily wage of agricultural labor and decrease child labor and poverty level could control the fertility and result in sustainable development and poverty alleviation of regions that are both high fertility and economically lagging. This needs to be addressed both in terms of national level policies and more emphatically within regional and sub-regional development strategies than it has been hither.},
 year = {2021}
}

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