Multiple Dimensions of Human Development Index and Public Social Spending for Sustainable Development

Paliova, Iana; McNown, Robert; Nülle, Grant

doi:10.2139/ssrn.3482287

Cited by 3 publications

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“…Conceptualizing poverty is complex due to the multidimensional nature of poverty as it ranges from income to consumption-based on lack of sustainable livelihood and lack of access to education, health, water, a safe environment, poor housing, and social exclusion are all part of life (D'Attoma & Matteucci, 2023). Paliova, McNown, and Nülle (2019) investigated the role of human development in recognizing well-being. Faisal (2022) investigated the interconnectedness of income inequality, economic growth, and human development.…”

Section: Literature Reviewmentioning

confidence: 99%

Unveiling Inequality: Mapping Asset Disparities in Azad Jammu and Kashmir (Pakistan)

Naveed,

Ullah,

Mughal

et al. 2024

iRASD J. Eco.

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The main objectives of this study are to construct a valid and reliable asset index at the household level for 10 districts of Azad Jammu and Kashmir (AJK) by using Multiple Indicators Cluster Survey micro-data and to estimate economic disparities by calculating Gini-coefficient and Palma Ratio. The asset index is considered a better estimate than expenditures or current household income to gauge a household’s living standard and its potential resilience to deal with economic shocks. The dimensional structure of assets is assessed by applying Exploratory Factor Analysis (EFA) and Tetrachoric Principal Component Analysis (PCA). Further, this paper has applied Classical Test Theory (CTT) and Item Response Theory (IRT) to ensure the reliability of the household-based asset index. Furthermore, the Gini-coefficient and Palma ratios are estimated by using the composite household-based asset index to estimate economic disparities in all 10 districts of AJK. The dimensional structure of assets, reliability, and validity analysis suggest to use 21 assets (out of 30 items) to construct the household-based asset index. The nine items (assets) are excluded from the analysis to avoid systematic errors and random errors. The results show that districts Bhimber and Mirpur have achieved the highest average asset scores, which are 0.62 and 0.64 respectively. The score of the Gini-coefficient index and the Palma ratio analyses shows that the asset distribution in the districts Neelum and Haveli are highly unequal. The Gini-coefficient is highly responsive to midpoint distribution while the Palma ratio concentrates more on top and bottom distribution, and it ignores the middle 50 percent from the analysis. Interestingly, both approaches have produced similar district rank ordering because we have adopted a systematic process for construct validity and reliability to minimize measurement errors.

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Section: Literature Reviewmentioning

confidence: 99%

Unveiling Inequality: Mapping Asset Disparities in Azad Jammu and Kashmir (Pakistan)

Naveed,

Ullah,

Mughal

et al. 2024

iRASD J. Eco.

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Impacts of Economic Freedom, Health, and Social Expenditures on Well-Being Measured by the Better Life Index in OECD Countries

Aydan

Donar

Arikan³

2021

Social Work in Public Health

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Optimizing Smart City Strategies: A Data-Driven Analysis Using Random Forest and Regression Analysis

Bafail

2024

Applied Sciences

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This study investigates the critical factors influencing smart city program success through a comprehensive data-driven analysis of 140 urban centers. Advanced machine learning techniques, specifically random forest algorithms, in conjunction with regression analysis, were employed to examine the correlations between 45 distinct attributes and respective smart city rankings. The findings reveal that the human development index (HDI) is a key predictor of smart city performance. Furthermore, the regression analysis revealed that elements such as education, healthcare, infrastructure, and digital services significantly enhance achieving higher HDI scores. Similarly, factors like education, sanitation, healthcare, and government transparency are closely associated with successfully implementing sharing platforms. These findings highlight the importance of investing in human capital, developing digital infrastructure, and promoting community engagement to create sustainable and resilient smart cities. Policymakers can utilize these findings to prioritize investments and devise effective strategies to improve their city’s ranking.

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Multiple Dimensions of Human Development Index and Public Social Spending for Sustainable Development

Cited by 3 publications

References 0 publications

Unveiling Inequality: Mapping Asset Disparities in Azad Jammu and Kashmir (Pakistan)

Unveiling Inequality: Mapping Asset Disparities in Azad Jammu and Kashmir (Pakistan)

Impacts of Economic Freedom, Health, and Social Expenditures on Well-Being Measured by the Better Life Index in OECD Countries

Optimizing Smart City Strategies: A Data-Driven Analysis Using Random Forest and Regression Analysis

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