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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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    1. Danuse Nerudova & Marian Dobranschi, 2019. "Alternative method to measure the VAT gap in the EU: Stochastic tax frontier model approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-38, January.
    2. 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.
    3. 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.
    4. Auty, R. & Warhurst, A., 1993. "Sustainable development in mineral exporting economies," Resources Policy, Elsevier, vol. 19(1), pages 14-29, March.
    5. 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.
    6. Ms. Janet Gale Stotsky & Ms. Asegedech WoldeMariam, 1997. "Tax Effort in Sub-Saharan Africa," IMF Working Papers 1997/107, International Monetary Fund.
    7. Ms. Cemile Sancak & Jing Xing & Ricardo Velloso, 2010. "Tax Revenue Response to the Business Cycle," IMF Working Papers 2010/071, International Monetary Fund.
    8. 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.
    9. Le, Tuan Minh & Moreno-Dodson, Blanca & Bayraktar, Nihal, 2012. "Tax capacity and tax effort : extended cross-country analysis from 1994 to 2009," Policy Research Working Paper Series 6252, The World Bank.
    10. Joshua Aizenman & Yothin Jinjarak, 2008. "The collection efficiency of the Value Added Tax: Theory and international evidence," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 391-410.
    11. 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.
    12. Athanasios O. Tagkalakis, 2014. "The determinants of vat revenue efficiency: recent evidence from Greece," Working Papers 181, Bank of Greece.
    13. Mr. David A. Grigorian & Mr. Hamid R Davoodi, 2007. "Tax Potential vs. Tax Effort: A Cross-Country Analysis of Armenia's Stubbornly Low Tax Collection," IMF Working Papers 2007/106, International Monetary Fund.
    14. Junji Ueda, 2018. "Estimating the Corporate Income Tax Gap; The RA-GAP Methodology," IMF Technical Notes and Manuals 2018/002, International Monetary Fund.
    15. John Mikesell, 0. "Changing State Fiscal Capacity and Tax Effort in an Era of Devolving Government, 1981-2003," Publius: The Journal of Federalism, CSF Associates Inc., vol. 37(4), pages 532-550.
    16. Bird, Richard M. & Martinez-Vazquez, Jorge & Torgler, Benno, 2008. "Tax Effort in Developing Countries and High Income Countries: The Impact of Corruption, Voice and Accountability," Economic Analysis and Policy, Elsevier, vol. 38(1), pages 55-71, March.
    17. Nihal Bayraktar & Tuan Minh Le & Blanca Moreno-Dodson, 2012. "Tax Capacity and Tax Effort: Extended Cross-Country Analysis from 1994 to 2009," EcoMod2012 3858, EcoMod.
    18. 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.
    19. Mr. Marco Committeri & Ms. Carola Pessino, 2013. "Understanding Countries’ Tax Effort," IMF Working Papers 2013/244, International Monetary Fund.
    20. Musharraf Cyan & Jorge Martinez-Vazquez & VIoleta Vulovic, 2013. "Measuring tax effort: Does the estimation approach matter and should effort be linked to expenditure goals?," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1308, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
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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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