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Whether States Have Capacity to Sustain Projected Growth in GST Collection During the GST Compensation Period?

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  • Sacchidananda Mukherjee

Abstract

Achieving harmonisation in design, structure and administration of taxes on goods and services was the major driving force behind the introduction of goods and services tax (GST) in India. Goods and services tax subsumes many taxes from both union and state tax bases. Achieving tax harmonisation in a federal system curtails fiscal autonomy of both the union and sub-national governments and therefore faces steep resistance. Revenue uncertainty associated with any tax reform is a major cause for concern for all governments and therefore the assurance of revenue protection given by the union government to states helped to achieve broad consensus in favour of GST. On average, state taxes subsumed under the GST used to contribute two-third of own tax revenue and finance one-third of total expenditure for general category states. Unlike the union government, states have limited taxation power (tax handles) to generate additional revenue to cope up with any major revenue shortfall on account of GST collection. Therefore, the revenue protection enshrined under the GST Compensation Act has played an important role behind introduction of GST in India. This has also helped the GST Council to experiment with design, structure and administration of GST during the GST compensation period (first 5 years of GST implementation) to moderate the impact of GST on Indian economy as well as facilitate ease of tax compliance. Given the ongoing shortfall in GST collection, many scholars believe that liberal GST revenue protection granted under the GST Compensation Act to states is unjustifiable. The GST compensation period will be over by June 2022, and thereafter GST collection of individual states is expected to depend on their tax capacity as well as tax effort. It is worthy to investigate whether states have tax capacity to sustain 14 per cent growth rate in tax collection, as projected in the GST Compensation Act. The objective of this article is to estimate tax capacity of the states with reference to major tax revenue subsumed under GST and see whether states could sustain 14 per cent growth in their GST collection during the GST compensation period if they put adequate tax effort. JEL Classification: H21, H68, H71, H77

Suggested Citation

  • Sacchidananda Mukherjee, 2019. "Whether States Have Capacity to Sustain Projected Growth in GST Collection During the GST Compensation Period?," Review of Market Integration, India Development Foundation, vol. 11(1-2), pages 30-53, April.
  • Handle: RePEc:sae:revmar:v:11:y:2019:i:1-2:p:30-53
    DOI: 10.1177/0974929219882130
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. Garg, Sandya & Ashima Goyal & Rupayan Pal, 2014. "Why tax effort falls short of capacity in Indian states: A Stochastic frontier approach," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-032, Indira Gandhi Institute of Development Research, Mumbai, India.
    5. 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.
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    Cited by:

    1. Sacchidananda Mukherjee, 2020. "Estimation and Projection of Petroleum Demand and Tax Collection from Petroleum Sector in India," Journal of Infrastructure Development, India Development Foundation, vol. 12(1), pages 39-68, June.
    2. Tandon, Suranjali & Rao, R. Kavita, 2019. "Frontier analysis for State Excise in India," Working Papers 19/276, National Institute of Public Finance and Policy.
    3. Mukherjee, Sacchidandanda, 2020. "Possible Impact of Withdrawal of GST Compensation Post GST Compensation Period on Indian State Finances," Working Papers 20/291, National Institute of Public Finance and Policy.
    4. Nayudu, A. Sri Hari, 2019. "Tax Revenue Efficiency of Indian States: The case of Stamp Duty and Registration Fees," Working Papers 19/278, National Institute of Public Finance and Policy.
    5. Mukherjee, Sacchidananda, 2020. "Performance Assessment of Indian GST: State-level Analysis of Compliance Gap and Revenue Growth," Working Papers 20/301, National Institute of Public Finance and Policy.
    6. Chakraborty, Lekha, 2019. "Gender Budgeting as PFM in OECD Countries: Empirical Evidence from Sweden," Working Papers 19/277, National Institute of Public Finance and Policy.

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    More about this item

    Keywords

    Sales tax; value added tax (VAT); goods and services tax (GST); revenue projection; stochastic frontier approach (SFA); fiscal autonomy;
    All these keywords.

    JEL classification:

    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H68 - Public Economics - - National Budget, Deficit, and Debt - - - Forecasts of Budgets, Deficits, and Debt
    • 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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