Exploring Spatial Patterns and Heterogeneity in Rural Household Quality of Living: Insights from Eastern India

IF 2 4区社会学 Q3 ENVIRONMENTAL STUDIES

Applied Spatial Analysis and Policy Pub Date : 2024-11-19 DOI:10.1007/s12061-024-09620-8

Suranjan Majumder, Subham Roy, Prosenjit Kayal, Arghadeep Bose, Guneswar Barman, Debanjan Basak, Indrajit Roy Chowdhury

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引用次数: 0

Abstract

Rural household quality of living is a fundamental aspect that determines the overall standard of living and well-being experienced by families residing in rural areas. This study comprehensively examines spatial variations in rural household living conditions among 341 administrative blocks located within West Bengal. This study employs the Rural Household Quality of Living Index (RHQoLI) as an analytical tool to assess rural households’ housing, economic and social aspects. The RHQoLI computation using Principal Component Analysis (PCA) involves three indices - Housing Quality Index (HQoLI), Economic Quality Index (EQoLI), and Social Quality Index (SQoLI) - based on twelve indicators. The further analysis employed bivariate and univariate Local Indicators of Spatial Association(LISA) and Moran’s I techniques to examine spatial patterns and heterogeneity. The findings reveal significant regional disparities in the quality of living across various blocks located within West Bengal, with about 115 blocks reflecting low RHQoLI status exhibiting significant clustering patterns at 0.415. Regarding bivariate analysis, SQoLI exhibits a maximum clustering pattern at 0.393, followed by EQoLI and SQoLI. This comprehensive analysis offers insights into variations related to living conditions alongside emerging spatial clustering patterns prevalent within rural West Bengal, facilitating a better understanding of the socioeconomic landscape policymakers can leverage towards creating inclusive development in these areas.

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探索农村家庭生活质量的空间模式和异质性：印度东部的启示

农村家庭生活质量是决定农村家庭整体生活水平和幸福感的一个基本方面。本研究全面考察了西孟加拉邦 341 个行政区农村家庭生活条件的空间差异。本研究采用农村家庭生活质量指数（RHQoLI）作为分析工具，对农村家庭的住房、经济和社会方面进行评估。利用主成分分析法（PCA）计算的 RHQoLI 包括三个指数--基于十二个指标的住房质量指数（HQoLI）、经济质量指数（EQoLI）和社会质量指数（SQoLI）。进一步的分析采用了二元和单元的地方空间关联指标（LISA）和莫兰 I 技术来研究空间模式和异质性。研究结果表明，西孟加拉邦各区块的生活质量存在明显的地区差异，约 115 个区块的 RHQoLI 水平较低，呈现 0.415 的显著聚类模式。在双变量分析中，SQoLI 的聚类模式最大，为 0.393，其次是 EQoLI 和 SQoLI。这项综合分析深入揭示了西孟加拉邦农村地区与生活条件相关的变化以及新出现的空间聚类模式，有助于决策者更好地了解社会经济状况，从而在这些地区实现包容性发展。

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来源期刊

Applied Spatial Analysis and Policy Multiple-

CiteScore

3.80

自引率

5.30%

发文量

期刊介绍： Description The journal has an applied focus: it actively promotes the importance of geographical research in real world settings It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace. RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management. FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist. Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.