IDEAS home Printed from https://ideas.repec.org/p/ess/wpaper/id11770.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    Note: Institutional Papers
    as

    Download full text from publisher

    File URL: http://www.esocialsciences.org/Download/repecDownload.aspx?fname=A2017525125351_47.pdf&fcategory=Articles&AId=11770&fref=repec
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tandon, Suranjali & Rao, R. Kavita, 2017. "Trade Misinvoicing: What can we Measure?," Working Papers 17/200, National Institute of Public Finance and Policy.
    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. 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.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sacchidananda Mukherjee, 2020. "Goods and Services Tax efficiency across Indian States: panel stochastic frontier analysis," Indian Economic Review, Springer, vol. 55(2), pages 225-251, December.
    2. Sebastian Linde, 2023. "Hospital cost efficiency: an examination of US acute care inpatient hospitals," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 325-344, September.
    3. Victor Moutinho & Mara Madaleno, 2021. "Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis," Energies, MDPI, vol. 14(4), pages 1-17, February.
    4. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    5. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    6. Keller, Michael, 2020. "Wasted windfalls: Inefficiencies in health care spending in oil rich countries," Resources Policy, Elsevier, vol. 66(C).
    7. 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.
    8. Russell D. Kashian & Jeff Pagel, 2016. "Measuring X-Efficiency in NCAA Division III Athletics," Journal of Sports Economics, , vol. 17(6), pages 558-577, August.
    9. Idaira Cabrera‐Suárez & Jorge V. Pérez‐Rodríguez, 2021. "Bank branch performance and cost efficiency: A stochastic frontier panel data approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5850-5863, October.
    10. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    11. Sami Jarboui, 2022. "Operational and environmental efficiency of U.S. oil and gas companies towards energy transition policies: A comparative empirical analysis," Australian Economic Papers, Wiley Blackwell, vol. 61(2), pages 234-257, June.
    12. Giovanni Marin & Alessandro Palma, 2015. "Technology Invention and Diffusion in Residential Energy Consumption. A Stochastic Frontier Approach," Working Papers 2015.104, Fondazione Eni Enrico Mattei.
    13. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    14. Efecan, Volkan & Temiz, İzzettin, 2023. "Assessing the technical efficiency of container ports based on a non-monotonic inefficiency effects model," Utilities Policy, Elsevier, vol. 81(C).
    15. Marc Rohde & Christoph Breuer, 2018. "Competing by investments or efficiency? Exploring financial and sporting efficiency of club ownership structures in European football," Sport Management Review, Taylor & Francis Journals, vol. 21(5), pages 563-581, December.
    16. Hidalgo-Gallego, Soraya & Mateo-Mantecón, Ingrid, 2019. "Effect of concentration in airline market on Spanish airport technical efficiency," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 56-66.
    17. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    18. Manuel Salas‐Velasco, 2020. "Assessing the performance of Spanish secondary education institutions: Distinguishing between transient and persistent inefficiency, separated from heterogeneity," Manchester School, University of Manchester, vol. 88(4), pages 531-555, July.
    19. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.
    20. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ess:wpaper:id:11770. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Padma Prakash (email available below). General contact details of provider: http://www.esocialsciences.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.