测量孟加拉国西南地区的农村水平

Md. Abdur Rahman, Md. Zakir Hossain, Nur Mohammad Ha-Mim, Farhan Tanvir, Sazzadul Islam, Khan Rubayet Rahaman
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引用次数: 0

摘要

摘要本研究旨在从功能视角出发,采用指数方法对孟加拉国西南地区的乡村性水平进行测量和表征。研究结果可为有关农村发展政策和规划的有效决策提供参考。此外,行政单位(如工会和病房)的业务划分对于制定和有效实施循证发展倡议至关重要。这项研究利用了孟加拉国统计局(BBS)公布的最新人口普查数据。结果表明,与库尔纳区(RI = 3.58)和巴格哈特区(RI = 4.14)相比,萨奇拉区表现出更高的乡村性程度(RI = 4.23)。三区之间的这种差异归因于现有的城乡差距。该研究强调社会经济因素对城乡差距的主要影响,人口和基础设施方面的作用次之。然而,在这方面,教育的影响明显有限。对地区内差异的见解表明,库尔纳地区的城乡差异明显大于其他两个地区。该研究还强调了主要河流沿岸非农村地区的聚集。这项研究将有助于农村规划者和政策制定者了解研究地区的具体农村动态,这对于制定适合具体情况的发展战略至关重要。此外,该研究还为将该区域划分为集群以简化发展优先事项和资源分配提供了依据。此外,本文还提出了一种可在不同背景下评估乡村性和划定农村地区的可转移方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring the level of rurality in the Southwestern region of Bangladesh
Abstract This research intends to measure and characterize the level of rurality in the southwestern region of Bangladesh using an indexing approach from functional perspective. The findings of the study can be conducive for efficient decision making related to rural development policies and planning. Besides, operational delineation of administrative units, such as Unions and Wards, is essential for the formulation and effective implementation of evidence-based development initiatives. The study has utilized the latest available population census data published by Bangladesh Bureau of Statistics (BBS). The results reveal that Satkhira district exhibits a higher degree of rurality (RI = 4.23) compared to Khulna (RI = 3.58) and Bagerhat (RI = 4.14) districts. This variation among the three districts is ascribed to existing rural–urban disparities. The study underscores the primary influence of socio-economic factors on the rural–urban disparities, with a secondary role for demographic and infrastructural aspects. However, education's impact was notably limited in this context. Insights on intra-district disparities infer that Khulna district exhibits significantly greater rural–urban disparities than the other two. The study also highlights the clustering of non-rural areas along major rivers. This research will assist rural planners and policy makers in understanding the specific rural dynamics of the study area, essential for tailoring fit-to-context development strategies. Moreover, the study provides a basis for classifying the region into clusters to streamline development priorities and resource allocation. Furthermore, the article presents a transferable methodology for evaluating rurality and delineating rural regions in different contexts.
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