Income Inequality Estimation of Rural Region of KP Province: A Gini Coefficient Approach

Qureshi, Zaheer Ahmad; Sadozai, Khuram Nawaz

doi:10.17582/journal.sja/2016.32.4.394.398

Cited by 2 publications

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“…Similarly for the total selected households in the study area Gini-coefficient was 0.31. Results are nearly related with Qureshi and Sadozai (2016) whose Gini-coefficient value for khyber pakhtunkhwa province rural areas was 0.35 and also matching with Usman et al (2016) who give minimum Gini-coefficient of 0.29 and highest 0.37 in rural areas.…”

Section: Gini-coefficient and Palma Ratio For The Selected Householdsupporting

confidence: 58%

Measurement of Income Inequality and Its Determinants in District Dir Lower

Waris,

Khan,

Urrahman

et al. 2023

JFRM

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The objective of the present study was to measure income inequality and to analyze determinants of income inequality of the households in the study area conducted in three villages Madinaabad, Shamshikhan, and Ziarat were randomly selected from the Lower Dir district. Data were randomly collected from 82 sample households with the help of an interview schedule. Ginicoefficient, Palma ratio was used to measure income inequality in the selected area while Lorenz curve was used to represent income and inequality. A logistic regression model was used for analyzing the determinants of income inequality of the households in the research area. Results of the study revealed that the value of Gini-coefficient for villages Madinaabad, Shamshikhan, Ziarat and for the overall area were 0.22, 0.30, 0.34, and 0.31 while Palma ratio for villages Madinaabad, Shamshikhan, Ziarat, and for the overall area were 0.63, 0.88, 1.14 and 1.06, respectively. Results of binary logistic regression showed that the odds ratio of age, education and the number of dependents was 1.084, 0.862, and 0.306, respectively, which showed that income inequality increases with the increase of one year of age by 8.4 percent. In contrast, education and earners decrease income inequality in the research area. Based on research findings, providing quality education and proper use of land resources can reduce income inequality in the study area.

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Section: Gini-coefficient and Palma Ratio For The Selected Householdsupporting

confidence: 58%

Measurement of Income Inequality and Its Determinants in District Dir Lower

Waris,

Khan,

Urrahman

et al. 2023

JFRM

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“…Economists and policy makers take interest in measuring income inequality as it is one of the most crucial factors behind low economic growth and development (Shahbaz, 2010; Qureshi and Sadozai, 2016). In most developing countries like Pakistan, the gap between rich and poor has widened over time.…”

Section: Introductionmentioning

confidence: 99%

Income inequality in Pakistan

Islam

Abrar

Arshad

et al. 2022

IJSE

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PurposeIn most developing countries like Pakistan, the gap between rich and poor has widened over time. This polarization in the society hinders economic growth and acts as a barrier for development and well-being. The proportion of income distribution varies across the population sub-groups in Pakistan. Therefore, it is important to study the income distribution effects across the four provinces of Pakistan.Design/methodology/approachThis study attempts to explore the root causes of income inequality and its changes in a dynamic context across the four provinces of Pakistan over a decade (2005–2006 to 2015–2016) by using a regression-based inequality decomposition method.FindingsAge, gender and higher education are the most prominent factors explaining the level of inequality across the four provinces of Pakistan. Higher education enhances the level of inequality in all provinces but contributes negatively to its changes except for Balochistan. Skilled agricultural and fishery workers in Balochistan have contributed significantly to reducing the level of inequality over the decade but not to its changes. Healthy contribution of the unpaid family workers in economic activities has reduced the level of inequality in Punjab and Balochistan and contributed positively to the change in income inequality. Employer or self-employed workers enhance the level of income inequality but contribute negatively to its changes for Punjab and Balochistan.Originality/valueTo date, inequality literature on Pakistan focuses on economic growth and poverty. A handful studies focus on the determinants of income inequality in a static context. This study goes beyond the static decomposition tools and attempts to explore the determinants of inequality in a dynamic context.Peer reviewThe peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-09-2021-0573.

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Income Inequality Estimation of Rural Region of KP Province: A Gini Coefficient Approach

Cited by 2 publications

References 0 publications

Measurement of Income Inequality and Its Determinants in District Dir Lower

Measurement of Income Inequality and Its Determinants in District Dir Lower

Income inequality in Pakistan

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