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Changing Tax Capacity and Tax Effort of Indian States in the Era of High Economic Growth, 2001-2014

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  • Sacchidananda Mukherjee

Abstract

Growing demand for public expenditures, limitations in expanding fiscal space and limited scope to deviate from common harmonized tax system under the proposed Goods and Services Tax (GST) regime may induce the states to look for opportunities to expand revenue mobilization through alternative channels (e.g. nontax revenue mobilization). An assessment of the existing tax efficiency (or tax effort) and strengthening tax administration could be one of such alternatives available for states to pursue. Tax administration is as important as tax base to augment revenues of a state.

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  • Sacchidananda Mukherjee, 2017. "Changing Tax Capacity and Tax Effort of Indian States in the Era of High Economic Growth, 2001-2014," Working Papers id:11770, eSocialSciences.
  • Handle: RePEc:ess:wpaper:id:11770
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    1. Damodar Nepram, 2011. "State-Level Value Added Tax and Its Revenue Implications in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 5(2), pages 245-265, May.
    2. Mrs. Andrea Lemgruber & Mr. Andrew R Masters & Mr. Duncan Cleary, 2015. "Understanding Revenue Administration: An Initial Data Analysis Using the Revenue Administration Fiscal Information Tool," IMF Departmental Papers / Policy Papers 2015/006, International Monetary Fund.
    3. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    4. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    5. M. Govinda Rao & R. Kavita Rao, 2005. "Trends and Issues in Tax Policy and Reform in India," India Policy Forum, Global Economy and Development Program, The Brookings Institution, vol. 2(1), pages 55-122.
    6. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    7. Sacchidananda Mukherjee, 2015. "Present State of Goods and Services Tax (GST) Reform in India," Working Papers id:7532, eSocialSciences.
    8. Ajit Karnik & Swati Raju, 2015. "State Fiscal Capacity and Tax Effort: Evidence for Indian States," South Asian Journal of Macroeconomics and Public Finance, , vol. 4(2), pages 141-177, December.
    9. DAS-GUPTA Arindam & B. ESTRADA Gemma & PARK Donghyun, 2016. "Measuring Tax Administration Effectiveness and its Impact on Tax Revenue," Working Papers DP-2016-17, Economic Research Institute for ASEAN and East Asia (ERIA).
    10. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    11. Mukherjee, Sacchidananda & Rao, R. Kavita, 2015. "Estimation of Unaccounted Income Using Transport as a Universal Input: A Methodological Note," Working Papers 15/146, National Institute of Public Finance and Policy.
    12. Ms. Janet Gale Stotsky & Ms. Asegedech WoldeMariam, 1997. "Tax Effort in Sub-Saharan Africa," IMF Working Papers 1997/107, International Monetary Fund.
    13. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    14. Rao, M. Govinda, 2016. "Tyranny of the Status Quo: The Challenges of Reforming the Indian Tax System," India Policy Forum, National Council of Applied Economic Research, vol. 12(1), pages 47-101.
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    Cited by:

    1. Avipsa Mohanty & Dinabandhu Sethi & Asit Ranjan Mohanty, 2022. "Does petroleum tax revenue drive sales tax effort of Indian states? A stochastic frontier approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1257-1268, January.
    2. Sushama Murty, 2019. "Some results from the theory of optimal taxation and their relevance for increasing the progressiveness of Indian tax structure," Indian Economic Review, Springer, vol. 54(1), pages 19-50, June.
    3. Sacchidananda Mukherjee & Debashis Chakraborty, 2017. "Can Economic Development Influence General Election Outcomes? Evidence from Consumption Expenditure Trends of Indian States," Journal of Development Policy and Practice, , vol. 2(2), pages 131-150, July.
    4. Tandon, Suranjali & Rao, R. Kavita, 2017. "Trade Misinvoicing: What can we Measure?," Working Papers 17/200, National Institute of Public Finance and Policy.

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    More about this item

    Keywords

    Tax capacity; Tax efficiency; Value Added Tax (VAT); Stochastic Frontier Approach; Panel Data Analysis; States of India; Demand; Public; Expenditure; Population; Urbanization; Mobilization; Deficits; Infrastructure; Investment.;
    All these keywords.

    JEL classification:

    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism

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