IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/41979.html
   My bibliography  Save this paper

The Future of Budgetary Allocation to Sports Sector in Pakistan: Evidences from Autoregressive Integrated Moving Average Model

Author

Listed:
  • Hussain, Anwar Hussain
  • Farid, Asif Farid
  • Hussain, Shah Hussain
  • Iqbal, Sajid Iqbal

Abstract

The study forecast Public Sector Development Program (PSDP) allocation to sports sector upto 2020 in Pakistan, utilizing time series secondary data ranging from 1988 to 2010, taken from official documents of the Ministry of Sports, Islamabad. For the analysis of the data, descriptive statistics and Autoregressive Integrated Moving Average (ARIMA) model has been applied. The findings revealed that there existed extreme fluctuations in these allocations during 1988-2010, showing uncertainty in these allocations. Further, the allocation to sports sector in PSDP will be Rs.120.082 million, Rs.124.113 million, Rs.128.349 million and Rs.134.711 million in 2013, 2015, 2017 and 2020 respectively. It is recommended that there should be a sustained growth in these allocations so as to remove the uncertainty component. There should be public private partnership in the sports sector of Pakistan which will not only improve the projects life in sports sector but will also add to incurring operation and maintaining costs of the schemes after its construction.

Suggested Citation

  • Hussain, Anwar Hussain & Farid, Asif Farid & Hussain, Shah Hussain & Iqbal, Sajid Iqbal, 2011. "The Future of Budgetary Allocation to Sports Sector in Pakistan: Evidences from Autoregressive Integrated Moving Average Model," MPRA Paper 41979, University Library of Munich, Germany, revised 2011.
    • Handle: RePEc:pra:mprapa:41979
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/41979/1/MPRA_paper_41979.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert A. Baade, 2003. "Evaluating Subsidies for Professional Sports in the United States and Europe: A Public-Sector Primer," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 585-597, Winter.
    2. Nachane, Dilip M., 2006. "Econometrics: Theoretical Foundations and Empirical Perspectives," OUP Catalogue, Oxford University Press, number 9780195647907.
    3. John Siegfried & Andrew Zimbalist, 2002. "A Note on the Local Economic Impact of Sports Expenditures," Journal of Sports Economics, , vol. 3(4), pages 361-366, November.
    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. Gabe, Todd & Lisac, Nicholas, 2013. "Local Economic Impacts of Popular Music Concerts," MPRA Paper 65911, University Library of Munich, Germany.
    2. Chris Gratton & Simon Shibli & Richard Coleman, 2005. "Sport and Economic Regeneration in Cities," Urban Studies, Urban Studies Journal Limited, vol. 42(5-6), pages 985-999, May.
    3. Codruț-Florin Ivașcu & Sorina Emanuela Ștefoni, 2023. "Modelling the Non-Linear Dependencies between Government Expenditures and Shadow Economy Using Data-Driven Approaches," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 70(1), pages 97-114, March.
    4. Assad Ullah & Muhammad Anees & Zahid Ali & Muhammad Ayub Khan, 2018. "Economic Freedom and Private Capital Inflows in Selected South Asian Economies: A Dynamic Panel Data Evidence," South Asian Journal of Business and Management Cases, , vol. 7(1), pages 41-52, June.
    5. Baade, Robert A. & Matheson, Victor A., 2012. "Professional sports, hurricane Katrina, and the economic redevelopment of New Orleans," Edition HWWI: Chapters, in: Büch, Martin-Peter & Maennig, Wolfgang & Schulke, Hans-Jürgen (ed.), Zur Ökonomik von Spitzenleistungen im internationalen Sport, volume 3, pages 123-146, Hamburg Institute of International Economics (HWWI).
    6. Robert W. Wassmer & Ryan S. Ong & Geoffrey Propheter, 2016. "Suggestions for the Needed Standardization of Determining the Local Economic Impact of Professional Sports," Economic Development Quarterly, , vol. 30(3), pages 252-266, August.
    7. Robert Baumann & Bryan Engelhardt & Victor A. Matheson, 2012. "Labor Market Effects of the World Cup: A Sectoral Analysis," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 22, Edward Elgar Publishing.
    8. Deepak Premkumar & Austin Quackenbush & Georgeanne Artz & Peter Orazem, 2013. "If You Build it, Will They Come?: Fiscal Federalism, Local Provision of Public Tourist Amenities, and the Vision Iowa Fund," The Review of Regional Studies, Southern Regional Science Association, vol. 43(2,3), pages 155-173, Winter.
    9. Sukhdeep Singh, 2024. "Investments in Innovations and Market Structure: A Semi-parametric Approach," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 25(1), pages 26-44, March.
    10. Philip K. Porter & Daniel M. Chin, 2012. "Economic Impact of Sports Events," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 15, Edward Elgar Publishing.
    11. Lasse Steiner & Bruno Frey & Simone Hotz, 2015. "European Capitals of Culture and life satisfaction," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 374-394, February.
    12. Robert A. Baade & Robert Baumann & Victor A. Matheson, 2008. "Selling the Game: Estimating the Economic Impact of Professional Sports through Taxable Sales," Southern Economic Journal, John Wiley & Sons, vol. 74(3), pages 794-810, January.
    13. Åse Jacobsen & Morten Kringstad & Tor-Eirik Olsen, 2021. "Extraordinary Funding and a Financially Viable Football Industry—Friends or Foes? A Norwegian Football League Perspective," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    14. Md. Nur Alam Siddik & Sajal Kabiraj & Md. Emran Hosen & Md. Firoze Miah, 2022. "Impacts of Political Stability on Shadow Economy: Evidence from Bay of Bengal Initiative for Multi-sectoral Technical and Economic Cooperation Countries," Vision, , vol. 26(2), pages 221-231, June.
    15. D. M. Nachane, 2018. "Time-varying spectral analysis: theory and applications," Indian Economic Review, Springer, vol. 53(1), pages 3-27, December.
    16. Girma Jirata Duguma & Jiqin Han, 2018. "Effect of Deposit Mobilization on the Financial Sustainability of Rural Saving and Credit Cooperatives: Evidence from Ethiopia," Sustainability, MDPI, vol. 10(10), pages 1-23, September.
    17. Robert Baumann & Victor A. Matheson, 2013. "Estimating economic impact using ex post econometric analysis: cautionary tales," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 10, pages 169-188, Edward Elgar Publishing.
    18. Kellison, Timothy B. & Mondello, Michael J., 2012. "Organisational perception management in sport: The use of corporate pro-environmental behaviour for desired facility referenda outcomes," Sport Management Review, Elsevier, vol. 15(4), pages 500-512.
    19. Matthew Rousu & Dave Ramsaran & Dylan Furlano, 2015. "Guidelines for Conducting Economic Impact Studies on Fracking," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 21(2), pages 213-225, May.
    20. Sukhdeep Singh & Indrani Chakraborty, 2024. "Family involvement, innovation and product market competition," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(2), pages 361-386, April.

    More about this item

    Keywords

    Budgetary Allocation; Sports Sector; Autoregressive Integrated Moving Average Model;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:pra:mprapa:41979. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.