Mohey-ud-din, Ghulam (2017): Exploring Spatial Trends in Wealth Inequalities in Punjab, Pakistan. Published in: Pakistan Journal of Urban Affairs , Vol. 1, No. 6 (October 2017): pp. 45-57.
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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
Item Type: | MPRA Paper |
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Original Title: | Exploring Spatial Trends in Wealth Inequalities in Punjab, Pakistan |
Language: | English |
Keywords: | Wealth Disparity, Wealth Inequality, Spatial Patterns, Spatial Clustering, Spatial Auto-Correlation, LISA, Moran’s I, MICS, Punjab, Pakistan |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O18 - Urban, Rural, Regional, and Transportation Analysis ; Housing ; Infrastructure R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R2 - Household Analysis > R20 - General R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R5 - Regional Government Analysis > R58 - Regional Development Planning and Policy |
Item ID: | 89095 |
Depositing User: | Dr. Ghulam Mohey-ud-din |
Date Deposited: | 21 Sep 2018 13:23 |
Last Modified: | 27 Sep 2019 05:55 |
References: | Anselin, L. (1995) Local Indicators of Spatial Association – LISA. Geographical Analysis, 27(2), 93-115. Bengali, K. (2016) Inequality and its Discontents. Development Advocate Pakistan, 3(2): 10-13. Gini, C. (1912) Variabilità e mutabilità. Reprinted in Pizetti, E.; Salvemini, T., eds. (1955). Memorie di metodologica statistica. Rome: Libreria Eredi Virgilio Veschi. Institute for Policy Studies (2017) Wealth Inequality. Inequality.org, a project of the Institute for Policy Studies. Retrieved from http://inequality.org/wealth-inequality/ on 05.01.2017. Li, H., Calder, C. A., and Cressie, N. (2007) Beyond Moran’s I: Testing for Spatial Dependence Based on the Spatial Autoregressive Model. Geographical Analysis, 39(4), 357–375. Moran, P. A. P. (1950) Notes on Continuous Stochastic Phenomena. Biometrika, 37(1), 17-23. NIPS (2013) Pakistan Demographic and Health Survey 2012-13. National Institute of Population Studies (NIPS), Islamabad, Pakistan. Saboor, A. (2016) The Drivers and Policy Narratives of Income Inequality in Pakistan. Development Advocate Pakistan, 3(2): 10-13. Sowunmi, F. A., Akinyosoye, V. O., Okoruwa, V. O., and Omonona, B. T. (2012) The Landscape of Poverty in Nigeria: A Spatial Analysis Using Senatorial Districts- level Data. American Journal of Economics, 2(5), 61-74. United Nations (2015) Goal 10: Reduce inequality within and among countries. Sustainable Development Goals, United Nations. Retrieved from http://www.un.org/sustainabledevelopment/inequality/ on 22.12.2016. World Bank (2014) World Development Indicators. The World Bank Group, Washington DC. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/89095 |