Urban-Rural Disparities in Multidimensional Poverty: A Cross-Country Econometric Analysis Using MPI Data

Authors

DOI:

https://doi.org/10.47134/jred.v3i2.1070

Keywords:

Multidimensional Poverty Index (MPI), Urban–Rural Disparities, Poverty Decomposition, Econometric Analysis, Mixed-Effects Modeling

Abstract

Urban–rural disparities in poverty remain a persistent challenge despite significant global progress in poverty reduction. Conventional income based measures often fail to capture the multiple and overlapping deprivations experienced by households, particularly in rural areas. This study aims to examine the magnitude, structure, and determinants of urban–rural disparities in multidimensional poverty using the global Multidimensional Poverty Index (MPI). Employing a cross-country econometric research design, the study integrates national-level and subnational-level MPI data covering more than 100 countries and approximately 1,000 regions. The empirical analysis combines descriptive techniques, ordinary least squares (OLS) regression, and linear mixed-effects modeling to capture both between-country and within-country variations in multidimensional poverty. The results reveal substantial and unevenly distributed urban–rural MPI gaps across countries, with particularly pronounced disparities observed in several Sub-Saharan African economies. Regression findings indicate that differences in poverty incidence, measured through the headcount ratio gap, are the dominant driver of the urban–rural MPI gap, while differences in deprivation intensity play a statistically significant but secondary role. The multilevel analysis further demonstrates a strong and near-proportional transmission of national-level multidimensional poverty to regional outcomes, underscoring the importance of national development trajectories in shaping subnational poverty patterns. The study concludes that urban–rural disparities in multidimensional poverty are primarily driven by unequal access to basic services and opportunities rather than solely by the depth of deprivation. These findings highlight the need for multidimensional and multi-level policy interventions that simultaneously reduce poverty incidence and address overlapping deprivations, particularly in rural areas, to achieve inclusive and balanced development

Author Biography

Anurag Vikram Singh, Central University of Andhra Pradesh

Anurag Vikram Singh is a researcher in economics with aca
demic training in Economics and Data Analytics. His re
search interests lie at the intersection of monetary economics,
financial stability, and applied macroeconometrics, with par
ticular emphasis on non-linear transmission mechanisms, fi
nancial stress, and policy effectiveness in emerging market
economies.
His work focuses on examining how monetary policy trans
mission varies across financial regimes, employing advanced
time-series techniques such as Vector Autoregression (VAR),
Threshold VAR (TVAR), and regime-dependent models. He
has a strong interest in empirical macroeconomic analysis, fi
nancial stress measurement, and the role of institutional and
financial frictions in shaping policy outcomes.
Anurag has engaged extensively with macroeconomic
datasets and policy-relevant indicators, combining economic
theory with data-driven methodologies. His research con
tributes to ongoing debates on the limitations of conventional
monetary policy tools during periods of heightened financial
stress, particularly in the context of India and other devel
oping economies.
He is actively involved in academic research, replication
based empirical work, and scholarly dissemination, and as
pires to pursue doctoral research in macroeconomics, mone
tary policy, and financial economics.

References

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Published

2026-02-19

How to Cite

Shilpa Sree R, & Singh, A. V. (2026). Urban-Rural Disparities in Multidimensional Poverty: A Cross-Country Econometric Analysis Using MPI Data. Journal of Regional Economics and Development, 3(2), 15. https://doi.org/10.47134/jred.v3i2.1070

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