Empirical analysis shows urbanization and economic growth boost rural transformation in India, suggesting policy reforms are critical.
This research empirically investigates drivers of rural transformation in India during the period 2010-2020, specifically the contributions of economic growth, poverty reduction, and urbanization. In an application of Principal Component Analysis (PCA), the research derives a composite Rural Transformation Index (RTI) to reflect complex development outcomes. In an application of an Autoregressive Distributed Lag (ARDL) model, this research investigates short-run relationships between GDP per capita (GDPPC), Headcount Poverty Ratio (HPR), and Urbanization Rate (URB). Findings reveal that GDPPC contributes most strongly positively toward RTI (β = 0.82), followed by poverty reduction (β = -0.75 for HPR), while urbanization has moderate spillover effects (β = 0.31). The results reflect the critical need for growth-centered policies, targeted poverty reduction programs, and improved rural-urban connectivity for rural transformation in a sustainable manner.
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SINGH et al. (2025) studied this question.
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