Exploring Spatial Trends in Wealth Inequalities in Punjab, Pakistan

Ghulam Mohey-ud-din

MPRA Paper from University Library of Munich, Germany

Abstract: This study examines the disparities in wealth inequality across districts in Punjab, Pakistan. The paper documents Gini coefficients of wealth inequality using disaggregate household data to assess disparities at the district level as well as disaggregated by urban and rural areas for each district. Furthermore, the paper deploys spatial statistical tools to explore the spatial disparities in wealth inequality in Punjab. This study finds the existence of spatial clustering in wealth inequality in districts at aggregate, urban, and rural area levels. The study emphasizes the need to allocate resources for eradication of disparities among regions and districts. Furthermore, policies and decision-making aimed at reducing regional disparities and in enhancing equity are needed. Given the spatial clustering in economic depravity, the remedial policies must be spatially aware and sensitive to spatial interdependencies discovered in this paper

Keywords: Wealth Disparity; Wealth Inequality; Spatial Patterns; Spatial Clustering; Spatial Auto-Correlation; LISA; Moran’s I; MICS; Punjab; Pakistan (search for similar items in EconPapers)
JEL-codes: O18 R20 R58 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Pakistan Journal of Urban Affairs 6.1(2017): pp. 45-57

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/89095/1/MPRA_paper_89095.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:89095

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().