Social welfare systems across the developing world have witnessed a significant transformation in the last 20 years with direct cash transfers becoming an increasingly preferred means of tackling poverty and inequality. While this movement finds its roots in Latin America, a large number of developing countries including India have since modified their welfare systems, incorporating direct cash transfers as an alternative to in kind benefits and subsidies. India’s Direct Benefit Transfer (DBT) system, which has been in existence since the past five years, has 316 schemes under its aegis now. While it would be premature to evaluate its success or failure, it would definitely be an interesting and worthwhile exercise to see how Indian states fare in terms of DBT. With Amartya Sen’s pathbreaking Capability Approach as the premise, this research is a unique attempt to explore and identify variables that determine and impact DBT transfers at the Indian state level using multiple regression. We find that literacy and the JAM (Jan-Dhan, Aadhaar, Mobile) Index emerge as significant variables impacting DBT transfers in states. This study contributes to the current literature on social welfare systems and highlights the importance of development architecture in emerging economies.
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