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Goods and Services Tax Efficiency across Indian States: Panel Stochastic Frontier Analysis

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  • Mukherjee, Sacchidananda

    (National Institute of Public Finance and Policy)

Abstract

In public finance, estimation of tax potential of a government - either federal or provincial - has immense importance to understand future streams of tax revenue. Tax potential depends on tax capacity and tax effort (TE) and therefore joint estimation of both the functions is desirable. There are several frameworks to estimate tax capacity and tax efficiency (tax effort); in the present paper time variant truncated panel sochastic Frontier Approach (SFA) is adopted to estimate the functions jointly for the period 2012-13 to 2019-20. The findings of the study could be useful for policy and especially for the sitting Fifteen Finance Commission. The results of the study show that GST capacity of states depends on size and structural composition of the economy. Introduction of GST has reduced states' GSTcapacity and the impact is restricted to scale only. The study has used data from GST Network (GSTN) database for the post-GST period and given all other factors at their levels, GSTN data shows lower GST capacity for high income states and higher capacity for low income states. The relationship between per capita income (PCI) of states and tax efficiency is non-linear and as PCI rises TE falls and thereafter it rises. Minor states (special category states and UTs with legislative assembly) have lower tax efficiency. Delhi and Goa have the highest GST gap and on average major states could increase their GST collection by 0.52 percent of GSVA and minor states by 1.15 percent if they increase their tax efforts.

Suggested Citation

  • Mukherjee, Sacchidananda, 2020. "Goods and Services Tax Efficiency across Indian States: Panel Stochastic Frontier Analysis," Working Papers 20/310, National Institute of Public Finance and Policy.
    • Handle: RePEc:npf:wpaper:20/310
    Note: Working Paper 310, 2020
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    References listed on IDEAS

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    Cited by:

    1. Pandey, Rita & Gupta, Manish & Sachdeva, Paavani & Singh, Abhishek, 2020. "Biodiversity Conservation in India: Mapping Key Sources and Quantum of Funds," Working Papers 20/311, National Institute of Public Finance and Policy.
    2. Mukherjee, Sacchidananda, 2023. "Revenue Performance Assessment of Indian GST," Working Papers 23/392, National Institute of Public Finance and Policy.
    3. Honey Karun & Hrishikesh Vinod & Chakraborty, Lekha S., 2020. "Did public investment crowd out private investment in India?," Working Papers 20/312, National Institute of Public Finance and Policy.
    4. Mukherjee, Sacchidananda, 2021. "Revenue Shortfall and GST Compensation: An Assessment," Working Papers 21/356, National Institute of Public Finance and Policy.
    5. Hrushikesh Mallick, 2024. "Role of ICT, Governance Quality in Indirect Tax Revenue Productivity: A Comparative Analysis of Two Recent Indirect Tax Regimes in Indian States," South Asian Journal of Macroeconomics and Public Finance, , vol. 13(1), pages 7-38, June.
    6. Chakraborty, Lekha S. & Thomas, Emmanuel & Gandhi, Piyush, 2020. "Natural Resources Revenue Buoyancy in India: Empirical Evidence From State-specific Mining Regime," Working Papers 20/313, National Institute of Public Finance and Policy.

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    More about this item

    Keywords

    Tax capacity ; Tax efficiency ; Goods and Services Tax (GST) ; Value Added Tax (VAT) ; Stochastic Frontier Approach ; Panel Data Analysis ; States of India;
    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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