IDEAS home Printed from https://ideas.repec.org/a/afj/journ3/v9y2019i1p51-78.html
   My bibliography  Save this article

Wagner and the fading voracity effect: short vs. long-run effects in developing countries

Author

Listed:
  • João Tovar Jalles

    (University of Lisbon)

Abstract

This paper empirically revisits the validity of Wagner’s proposition in a panel of 149 developing countries between 1980-2015 by focusing on different components of government expenditure. We rely on an ARDL approach which allow us to uncover short and long-run cyclicality coefficients. Our results do not overwhelmingly support the existence of higher than unity longrun elasticities of government spending components vis-a-vis economic growth, suggesting that the Wagner’s regularity is more the exception than the norm. Moreover, the case for voracity is fading away as developing countries catch-up the development ladder and graduate from procyclicality. In fact, most short-run elasticities are countercyclical. Finally, some macroeconomic and institutional and political characteristics affect the degree of government spending cyclicality.

Suggested Citation

  • João Tovar Jalles, 2019. "Wagner and the fading voracity effect: short vs. long-run effects in developing countries," Review of Development Finance Journal, Chartered Institute of Development Finance, vol. 9(1), pages 51-78.
  • Handle: RePEc:afj:journ3:v:9:y:2019:i:1:p:51-78
    as

    Download full text from publisher

    File URL: https://journals.co.za/content/journal/10520/EJC-17cede0677
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Abbott, Andrew & Cabral, René & Jones, Philip & Palacios, Roberto, 2015. "Political pressure and procyclical expenditure: An analysis of the expenditures of state governments in Mexico," European Journal of Political Economy, Elsevier, vol. 37(C), pages 195-206.
    2. Alberto Alesina & Filipe R. Campante & Guido Tabellini, 2008. "Why is Fiscal Policy Often Procyclical?," Journal of the European Economic Association, MIT Press, vol. 6(5), pages 1006-1036, September.
    3. Ernesto Stein & Ernesto Talvi & Alejandro Grisanti, 1999. "Institutional Arrangements and Fiscal Performance: The Latin American Experience," NBER Chapters, in: Fiscal Institutions and Fiscal Performance, pages 103-134, National Bureau of Economic Research, Inc.
    4. Akitoby, Bernardin & Clements, Benedict & Gupta, Sanjeev & Inchauste, Gabriela, 2006. "Public spending, voracity, and Wagner's law in developing countries," European Journal of Political Economy, Elsevier, vol. 22(4), pages 908-924, December.
    5. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    6. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    7. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    8. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    9. Banerjee, Anindya, 1999. "Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 607-629, Special I.
    10. James M. Poterba & Jürgen von Hagen, 1999. "Fiscal Institutions and Fiscal Performance," NBER Books, National Bureau of Economic Research, Inc, number pote99-1, March.
    11. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    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. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
    2. Josep Carrion-i-Silvestre & Vicente German-Soto, 2009. "Panel data stochastic convergence analysis of the Mexican regions," Empirical Economics, Springer, vol. 37(2), pages 303-327, October.
    3. Rajesh Sharma & Samaresh Bardhan, 2017. "Finance growth nexus across Indian states: evidences from panel cointegration and causality tests," Economic Change and Restructuring, Springer, vol. 50(1), pages 1-20, February.
    4. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225.
    5. Cosimo Magazzino, 2012. "The Nexus between Disaggregated Public Spending and GDP in the Euro Area," Economics Bulletin, AccessEcon, vol. 32(3), pages 2560-2579.
    6. Sung, Bongsuk, 2015. "Public policy supports and export performance of bioenergy technologies: A dynamic panel approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 477-495.
    7. Sung, Bongsuk & Song, Woo-Yong, 2014. "How government policies affect the export dynamics of renewable energy technologies: A subsectoral analysis," Energy, Elsevier, vol. 69(C), pages 843-859.
    8. Peter Farkas & Laszlo Matyas, 2015. "Testing for Unit Roots in Panel Data with Boundary Crossing Counts," CEU Working Papers 2015_5, Department of Economics, Central European University, revised 03 Nov 2015.
    9. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    10. Dong, Kangyin & Sun, Renjin & Li, Hui & Liao, Hua, 2018. "Does natural gas consumption mitigate CO2 emissions: Testing the environmental Kuznets curve hypothesis for 14 Asia-Pacific countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 419-429.
    11. Sudatta Bharati Mohapatra & Nirmal Chandra Kar, 2022. "Revisiting the Long-Run Dynamic Linkage between Dividends and Share Price with Advanced Panel Econometrics Techniques," JRFM, MDPI, vol. 15(10), pages 1-19, October.
    12. Hussein Moghaddam & Robert M. Kunst, 2023. "The Role of Natural Gas in Mitigating Greenhouse Gas Emissions: The Environmental Kuznets Curve Hypothesis for Major Gas-Producing Countries," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    13. Nusair, Salah A., 2019. "Oil price and inflation dynamics in the Gulf Cooperation Council countries," Energy, Elsevier, vol. 181(C), pages 997-1011.
    14. Apergis, Nicholas & Fafaliou, Irene & Stefanitsis, Marinos, 2016. "Asymmetric information and employment: evidence from the U.S. banking sector," The Journal of Economic Asymmetries, Elsevier, vol. 14(PB), pages 199-210.
    15. Tsangyao Chang & Tsung-Pao Wu & Rangan Gupta, 2015. "Are house prices in South Africa really nonstationary? Evidence from SPSM-based panel KSS test with a Fourier function," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 32-53, January.
    16. Christoph Hanck, 2013. "An Intersection Test for Panel Unit Roots," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 183-203, February.
    17. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    18. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    19. Mikhed, Vyacheslav & Zemcík, Petr, 2009. "Do house prices reflect fundamentals? Aggregate and panel data evidence," Journal of Housing Economics, Elsevier, vol. 18(2), pages 140-149, June.
    20. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.

    More about this item

    Keywords

    Government expenditure; fiscal policy; government size; political economy; mean group; panel stationarity; crosssectional dependency; weighted least squares; autoregressive distributed lag;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:afj:journ3:v:9:y:2019:i:1:p:51-78. 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: Kirk De Doncker (email available below). General contact details of provider: https://edirc.repec.org/data/afrgrza.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.