{"title":"Beyond Numbers: Mapping Poverty Disparities in Pakistan through a Spatial Lens","authors":"Syed Hassan Raza, Laiba Khan","doi":"10.1007/s12061-024-09626-2","DOIUrl":null,"url":null,"abstract":"<div><p>The pursuit of a comprehensive understanding of poverty has driven the formulation of innovative methodologies, with the multidimensional poverty index (MPI) standing as a prominent metric. But under empirical literature, role of geography concerning poverty remains under-documented; little emphasis has been placed to evaluating the pockets of poverty from geographic lens. This study employs the Alkire and Foster methodology to estimate MPI across diverse districts in Pakistan, utilizing data from the 2019-20 Pakistan Social and Living Standards Measurement (PSLM) survey. To identify spatial clusters Hot Spot Analysis is used along with bivariate mapping analysis, revealing spatial patterns of poverty and nuanced variations in MPI. Findings expose a disconcerting reality: 18% of Pakistan’s population grapples with multidimensional poverty, notably concentrated in Baluchistan and rural areas. Logistic regression analysis and Marginal Effects emphasizes the interplay of household demographics, with impoverished households showing larger dependency ratios and higher child proportions, while non-impoverished counterparts have a higher prevalence of working-age, employed, and educated individuals. The study underscores the critical need to tailor poverty alleviation strategies to diverse socio-economic and geographic contexts for effective policymaking and interventions.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-024-09626-2","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
The pursuit of a comprehensive understanding of poverty has driven the formulation of innovative methodologies, with the multidimensional poverty index (MPI) standing as a prominent metric. But under empirical literature, role of geography concerning poverty remains under-documented; little emphasis has been placed to evaluating the pockets of poverty from geographic lens. This study employs the Alkire and Foster methodology to estimate MPI across diverse districts in Pakistan, utilizing data from the 2019-20 Pakistan Social and Living Standards Measurement (PSLM) survey. To identify spatial clusters Hot Spot Analysis is used along with bivariate mapping analysis, revealing spatial patterns of poverty and nuanced variations in MPI. Findings expose a disconcerting reality: 18% of Pakistan’s population grapples with multidimensional poverty, notably concentrated in Baluchistan and rural areas. Logistic regression analysis and Marginal Effects emphasizes the interplay of household demographics, with impoverished households showing larger dependency ratios and higher child proportions, while non-impoverished counterparts have a higher prevalence of working-age, employed, and educated individuals. The study underscores the critical need to tailor poverty alleviation strategies to diverse socio-economic and geographic contexts for effective policymaking and interventions.
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.
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