IDEAS home Printed from https://ideas.repec.org/a/ibn/ibrjnl/v12y2019i7p24-33.html
   My bibliography  Save this article

Measuring the Efficiency of Tax Collection among Economic Sectors in Paraíba State Northeastern Brazil (2013-2015)

Author

Listed:
  • Rodrigo Pereira de Oliveira
  • Bruno Ferreira Frascaroli

Abstract

This study investigates the efficiency of tax collection on operations related to the circulation of goods and interstate services (ICMS) in far east of Brazil, Paraíba State. The efficiency was estimated using quarterly data of the electronic invoices from the period of January 2013 to December 2015. In addition, we aim to identify levy’s key factors among distinct sectors, disaggregated into 489 sub-classes, according to the national classification of economic activities. It was used a stochastic frontier analysis which suggests that the average of the technical efficiency of the tax collection among sectors was 73.75% of the potential tax revenues. The amount of uncollected tax during the studied period were approximately US$7 billion. There is technical inefficiency of tax levy among important sectors of the economy of the state of Paraíba, demonstrated by 88.88% of inefficiency of tax collection itself. The sector comprehends clothing, wholesale of personal care products and leather shoes, among others. We verify that an increase of oversight actions by the tax collection agency helps to inhibit the inefficiency of tax levy.

Suggested Citation

  • Rodrigo Pereira de Oliveira & Bruno Ferreira Frascaroli, 2019. "Measuring the Efficiency of Tax Collection among Economic Sectors in Paraíba State Northeastern Brazil (2013-2015)," International Business Research, Canadian Center of Science and Education, vol. 12(7), pages 24-33, July.
  • Handle: RePEc:ibn:ibrjnl:v:12:y:2019:i:7:p:24-33
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ibr/article/download/0/0/39798/40743
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/ibr/article/view/0/39798
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marcelo Piancastelli, 2015. "Measuring the Tax effort of Developed and Developing Countries. Cross Country – Panel Data Analysis – 1985/95," Discussion Papers 0103, Instituto de Pesquisa Econômica Aplicada - IPEA.
    2. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. 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.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. James Alm & Denvil Duncan, 2014. "Estimating Tax Agency Efficiency," Public Budgeting & Finance, Wiley Blackwell, vol. 34(3), pages 92-110, September.
    7. Mattos, Enlinson & Rocha, Fabiana & Toporcov, Patricia, 2013. "Programas de incentivos fiscais são eficazes? Evidência a partir da avaliação do impacto do programa nota fiscal paulista sobre a arrecadação de ICMS," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    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. 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.
    10. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    11. Shwu-Huei Huang & Ming-Miin Yu & Ming-Shenq Hwang & Yu-Shan Wei & Ming-Huei Chen, 2017. "Efficiency of Tax Collection and Tax Management in Taiwan's Local Tax Offices," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 620-648, October.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    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. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    2. Martín Rossi, 2015. "The Econometrics Approach to the Measurement of Efficiency: A Survey," Working Papers 117, Universidad de San Andres, Departamento de Economia, revised Feb 2015.
    3. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    4. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 95-125.
    5. Leadaut Edith Prisca Togba, 2016. "Analysis of the Cost-Efficiency of Microfinance Institutions in the West African Economic Monetary Union Area," Working Papers 324, African Economic Research Consortium, Research Department.
    6. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.
    7. Andriakopoulos, Konstantinos & Ladas, Augoustinos & Andriakopoulos, Panagiotis, 2020. "Bank efficiency and leasing in U.S.A. banking system," MPRA Paper 112645, University Library of Munich, Germany.
    8. Tauer, Loren W. & Mishra, Ashok K., 2005. "U.S. Dairy Farm Cost Efficiency," Working Papers 127079, Cornell University, Department of Applied Economics and Management.
    9. Federica VIGANO & Andrea SALUSTRI, 2015. "Matching profit and Non-profit Needs: How NPOs and Cooperative Contribute to Growth in Time of Crisis. A Quantitative Approach," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 86(1), pages 157-178, March.
    10. MAIMOUNA DIAKITE & Jean-François BRUN, 2016. "Tax Potential and Tax Effort: An Empirical Estimation for Non-Resource Tax Revenue and VAT’s Revenue," EcoMod2016 9537, EcoMod.
    11. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    12. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    13. 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.
    14. Chien-Ming Chen & Magali A. Delmas & Marvin B. Lieberman, 2015. "Production frontier methodologies and efficiency as a performance measure in strategic management research," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 19-36, January.
    15. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    16. Anup Bhandari & Pradip Maiti, 2012. "Efficiency of the Indian leather firms: some results obtained using the two conventional methods," Journal of Productivity Analysis, Springer, vol. 37(1), pages 73-93, February.
    17. Goh, Kim Huat & See, Kok Fong, 2023. "Incorporating nonrevenue water in the efficiency assessment of water supply utilities: A parametric enhanced hyperbolic distance function," Utilities Policy, Elsevier, vol. 81(C).
    18. Hai-Dang Nguyen & Thanh Ngo & Tu DQ Le & Huong Ho & Hai T.H. Nguyen, 2019. "The Role of Knowledge in Sustainable Agriculture: Evidence from Rice Farms’ Technical Efficiency in Hanoi, Vietnam," Sustainability, MDPI, vol. 11(9), pages 1-10, April.
    19. Kalb, Alexander, 2009. "What determines local governments' technical efficiency? The case of road maintenance," ZEW Discussion Papers 09-047, ZEW - Leibniz Centre for European Economic Research.
    20. Manlagnit, Maria Chelo V., 2015. "Basel regulations and banks’ efficiency: The case of the Philippines," Journal of Asian Economics, Elsevier, vol. 39(C), pages 72-85.

    More about this item

    Keywords

    Brazil; efficiency; sectors; stochastic frontier analysis; tax levy;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ibrjnl:v:12:y:2019:i:7:p:24-33. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.