IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/81143.html
   My bibliography  Save this paper

Do Military Expenditures Boost Profit Rates?

Author

Listed:
  • Elveren, Adem Yavuz
  • Dunning, Rachel

Abstract

Understanding the effect of military expenditures on profit rates can provide important insights on the use of government spending. We utilize the panel dynamic ordinary least square method to examine that relationship for 32 major countries from the period of 1963-2008. We find that while military expenditures increase profit rates in arm-exporting countries, the opposite occurs in the case of arms-importing countries.

Suggested Citation

  • Elveren, Adem Yavuz & Dunning, Rachel, 2017. "Do Military Expenditures Boost Profit Rates?," MPRA Paper 81143, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:81143
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/81143/1/MPRA_paper_81143.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    3. Alptekin, Aynur & Levine, Paul, 2012. "Military expenditure and economic growth: A meta-analysis," European Journal of Political Economy, Elsevier, vol. 28(4), pages 636-650.
    4. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, 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. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    7. Dierk Herzer & Sebastian Vollmer, 2012. "Inequality and growth: evidence from panel cointegration," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(4), pages 489-503, December.
    8. Sandler,Todd & Hartley,Keith, 1995. "The Economics of Defense," Cambridge Books, Cambridge University Press, number 9780521447287, Enero-Abr.
    9. Christos Kollias & Thanasis Maniatis, 2003. "Military expenditure and the profit rate in Greece," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(2), pages 117-127.
    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. Adem Yavuz Elveren & Sara Hsu, 2018. "The Effect of Military Expenditure on Profit Rates: Evidence from Major Countries," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 4(2), pages 75-94, December.
    2. Elveren, Adem Yavuz & Özgür, Gökçer, 2018. "The Effect of Military Expenditures on the Profit Rates in Turkey," MPRA Paper 88848, University Library of Munich, Germany.

    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. Herzer, Dierk & Nunnenkamp, Peter, 2015. "Income inequality and health: Evidence from developed and developing countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-56.
    2. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.
    3. Jingqi Sun & Jing Shi & Boyang Shen & Shuqing Li & Yuwei Wang, 2018. "Nexus among Energy Consumption, Economic Growth, Urbanization and Carbon Emissions: Heterogeneous Panel Evidence Considering China’s Regional Differences," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    4. In Choi, 2012. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    5. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Joëts, Marc & Mignon, Valérie, 2012. "On the link between forward energy prices: A nonlinear panel cointegration approach," Energy Economics, Elsevier, vol. 34(4), pages 1170-1175.
    7. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    8. Herzer, Dierk, 2014. "Unions and income inequality: a heterogenous cointegration and causality analysis," Working Paper 146/2014, Helmut Schmidt University, Hamburg.
    9. Roberto Basile & Mauro Costantini & Sergio Destefanis, 2005. "Unit root and cointegration tests for cross-sectionally correlated panels. Estimating regional production functions," CELPE Discussion Papers 94, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy.
    10. Jacob Otim & Susan Watundu & John Mutenyo & Vincent Bagire, 2025. "Determinants of carbon dioxide emissions: role of renewable energy consumption, economic growth, urbanization and governance," SN Business & Economics, Springer, vol. 5(3), pages 1-23, March.
    11. Tiba, Sofien & Frikha, Mohamed, 2019. "The controversy of the resource curse and the environment in the SDGs background: The African context," Resources Policy, Elsevier, vol. 62(C), pages 437-452.
    12. Fantazzini , Dean, 2009. "Econometric Analysis of Financial Data in Risk Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 100-127.
    13. Škare, Marinko & Porada-Rochoń, Małgorzata, 2023. "Are we making progress on decarbonization? A panel heterogeneous study of the long-run relationship in selected economies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    14. Dierk Herzer & Julian Donaubauer, 2018. "The long-run effect of foreign direct investment on total factor productivity in developing countries: a panel cointegration analysis," Empirical Economics, Springer, vol. 54(2), pages 309-342, March.
    15. Jin, Taeyoung, 2022. "The evolutionary renewable energy and mitigation impact in OECD countries," Renewable Energy, Elsevier, vol. 189(C), pages 570-586.
    16. Dedeoğlu, Dinçer & Kaya, Hüseyin, 2013. "Energy use, exports, imports and GDP: New evidence from the OECD countries," Energy Policy, Elsevier, vol. 57(C), pages 469-476.
    17. Yifei Cai & Jamel Saadaoui, 2022. "Fourier DF unit root test for R&D intensity of G7 countries," Applied Economics, Taylor & Francis Journals, vol. 54(42), pages 4900-4914, September.
    18. Mehdi Ben Jebli & Montassar Kahia, 2020. "The interdependence between CO2 emissions, economic growth, renewable and non-renewable energies, and service development: evidence from 65 countries," Climatic Change, Springer, vol. 162(2), pages 193-212, September.
    19. Herzer, Dierk & Nunnenkamp, Peter, 2011. "Income inequality and health: New evidence from panel data," Kiel Working Papers 1736, Kiel Institute for the World Economy (IfW Kiel).
    20. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2014. "Green Growth in Mexico, Brazil and Chile: Policy strategies and future prospects," Ibero America Institute for Econ. Research (IAI) Discussion Papers 229, Ibero-America Institute for Economic Research.

    More about this item

    Keywords

    Military expenditures; profit rates; panel data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E11 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Marxian; Sraffian; Kaleckian
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:81143. 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.