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Federal Transfers and Fiscal Discipline in India: An Empirical Evaluation

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Abstract

This paper examines the relationship between federal transfers and fiscal deficits in India. The system of federal transfers has been criticized on the grounds that it distorts the incentives for states to promote fiscal discipline. We analyze the relationship between transfers, state domestic product, and fiscal deficit for a panel of states during the period 1990–2010. The paper finds a positive long-run relationship and bi-directional causality between primary/gross fiscal deficits and non-plan transfers. Further, there is a negative long-run relationship and one-way causality between state domestic product and transfers. These results are confirmed by multi-variate cointegration analysis, which finds a long-run relationship between fiscal transfers, state product per capita and the primary deficit of the states. The evidence in the paper is consistent with the system of fiscal transfers being “gap-filling.”

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  • Antra Bhatt & Pasquale Scaramozzino, 2013. "Federal Transfers and Fiscal Discipline in India: An Empirical Evaluation," CEIS Research Paper 271, Tor Vergata University, CEIS, revised 17 Apr 2013.
    • Handle: RePEc:rtv:ceisrp:271
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    1. R. Nagaraj & A. Varoudakis & M.-A. Véganzonès, 2000. "Long-run growth trends and convergence across Indian States," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(1), pages 45-70.
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    3. Robin Boadway & Anwar Shah, 2007. "Intergovernmental Fiscal Transfers : Principles and Practice," World Bank Publications, The World Bank, number 7171, June.
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    Keywords

    Federal transfers; India; public finance; panel cointegration; panel ECM;

    JEL classification:

    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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