IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2020-01-36.html
   My bibliography  Save this article

Performance and Potential of Central Government Revenue: A Panel Data Analysis for Oil Exporting and Importing Countries

Author

Listed:
  • Abdul Waheed

    (Department of Economics, Faculty of Arts and Social Sciences, University of Karachi, Pakistan,)

  • Najia Saqib

    (Department of Finance, College of Business Administration, Prince Sultan University, Riyadh, Kingdom of Saudi Arabia.)

Abstract

The main goal of every government in the country is to promote economic and social development. The fulfillment of this goal depends on the availability of sufficient amount of central government revenue. Unfortunately, in developing countries, the collection of revenue is far below than expectations. This study initiated with twin objectives. First, to identify the macroeconomic variables that affects central government revenue and examines their importance. Second, to access the performance and potential of revenue collection by the central government of oil- exporting and importing countries. The panel data estimation results of a sample of 22 oil-exporting countries for the period 2004-2017, identified several important macroeconomic variables that significantly affect central government revenue. It is also concluded that some countries are very poor in revenue generation compare to what we expect based on macroeconomic performance of some indicators. It is also observed that some oil-exporting and importing countries could not maintain their revenue generation performance and are facing serious problem to finance their expenditures.

Suggested Citation

  • Abdul Waheed & Najia Saqib, 2020. "Performance and Potential of Central Government Revenue: A Panel Data Analysis for Oil Exporting and Importing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 249-254.
    • Handle: RePEc:eco:journ2:2020-01-36
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/8819/4780
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/8819/4780
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jannie Rossouw & Michael Ade & Tendai Gwatidzo, 2018. "Determinants of tax revenue performance in the Southern African Development Community (SADC)," Working Papers 762, Economic Research Southern Africa.
    2. 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.
    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. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, February.
    2. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    3. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    4. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    5. 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.
    6. Koetter Michael, 2008. "An Assessment of Bank Merger Success in Germany," German Economic Review, De Gruyter, vol. 9(2), pages 232-264, May.
    7. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    8. Fofack, Hippolyte, 2008. "Technology trap and poverty trap in Sub-Saharan Africa," Policy Research Working Paper Series 4582, The World Bank.
    9. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    10. Ligia Alba Melo-Becerra & Luis E. Arango & Oscar Iván Ávila-Montealegre & Jhorland Ayala-García & Leonardo Bonilla-Mejía & Jesús Alonso Botero-García & Carolina Crispin-Fory & Manuela Cardona & Daniel, 2023. "Aspectos financieros y fiscales del sistema de salud en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 106, pages 1-92, October.
    11. Khanal, Aditya & Koirala, Krishna & Regmi, Madhav, 2016. "Do Financial Constraints Affect Production Efficiency in Drought Prone Areas? A Case from Indonesian Rice Growers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230087, Southern Agricultural Economics Association.
    12. Firna Varina & Sri Hartoyo & Nunung Kusnadi & Amzul Rifin, 2020. "The Determinants of Technical Efficiency of Oil Palm Smallholders in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 89-93.
    13. Canh Nguyen & Minh Le & Khoa Cai & Michel Simioni, 2021. "Technical efficiency of Vietnamese manufacturing firms: do FDI spillovers matter?," Post-Print hal-03145499, HAL.
    14. 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.
    15. Mohammed, Rezgar & Saghaian, Sayed, 2014. "Technical Efficiency Estimation of Rice Production in South Korea," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162231, Southern Agricultural Economics Association.
    16. Duncan Overfield & Euan Fleming, 2001. "A Note on the Influence of Gender Relations on the Technical Efficiency of Smallholder Coffee Production in Papua New Guinea," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(1), pages 153-156, January.
    17. Markose Chekol Zewdie & Michele Moretti & Daregot Berihun Tenessa & Zemen Ayalew Ayele & Jan Nyssen & Enyew Adgo Tsegaye & Amare Sewnet Minale & Steven Van Passel, 2021. "Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach," Land, MDPI, vol. 10(3), pages 1-17, March.
    18. Kox, Henk L.M. & Leeuwen, George van & Wiel, Henry van der, 2010. "Competitive, but too small - productivity and entry-exit determinants in European business services," MPRA Paper 24389, University Library of Munich, Germany.
    19. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    20. Stephen M. Miller & Terrence M. Clauretie & Thomas M. Springer, 2006. "Economies Of Scale And Cost Efficiencies: A Panel‐Data Stochastic‐Frontier Analysis Of Real Estate Investment Trusts," Manchester School, University of Manchester, vol. 74(4), pages 483-499, July.

    More about this item

    Keywords

    Central Government Revenue; Economic Development; Panel Data; Oil Exporting and Importing Countries; Revenue Performance of Government;
    All these keywords.

    JEL classification:

    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government

    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:eco:journ2:2020-01-36. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.