地区、区划和区域各级生育率趋势的决定因素及其对减轻贫困的政策影响

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

孟加拉国是世界上人口最稠密的国家之一(每平方公里1278人)。Km .),但它是发展中国家中为数不多的几个在过去几十年里生育率下降速度空前的国家之一,尽管普遍存在贫困和欠发达。中国正在经历生育力转变的关键阶段。本研究收集的数据来自以下五个来源:i. 2012-13年孟加拉国多指标类集调查(MICS),涉及生育率、避孕药具使用、从事工作的儿童比例以及妇女获得大众媒体和信息通信技术的情况。2《孟加拉国识字率统计年鉴》,三。2011年人口普查中不同地区的人口密度特征,iv.农业推广局人员的农业劳动力日平均工资率,以及2014年孟加拉国贫困地图中不同地区的贫困水平。本研究通过使用空间数据分析技术分析地区层面的一系列扩大的决定因素,即避孕药具的使用、识字率、农业劳动力的日工资率、人口密度、童工、妇女获得大众媒体和信息通信技术的机会以及贫困水平,有助于了解孟加拉国生育率的结构性决定因素。在本研究中,使用二元连接矩阵/二元邻近矩阵和逆距离空间权重矩阵技术来捕获数据中的空间依赖性。这种分析通过允许不同部门和地区的空间依赖性变化来扩展空间模型。结果表明,生育率与避孕药具的使用、识字率、农业劳动力日工资率、童工人数、贫困程度及其邻近地区有关。这些结果提示,各地区应特别重视周边地区的政策,政策制定者应认识到周边地区生育率的下降可能会影响本地区的生育率,因此,如何刺激避孕药具的使用、受教育程度和受教育程度是政策制定的关键问题。提高农业劳动力日薪,减少童工和贫困水平,可以控制生育率,从而实现高生育率和经济落后地区的可持续发展和减贫。这需要在国家一级的政策方面加以解决,并在区域和分区域发展战略中更加强调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Fertility Trend at District, Divisional and Regional Levels and Policy Implication for Poverty Alleviation
: 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.
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