IDEAS home Printed from https://ideas.repec.org/a/epc/journl/v11y2016i2p28-37.html
   My bibliography  Save this article

Investment, growth, and defense expenditure in the EU15: Revisiting the nexus using SIPRI’s new consistent dataset

Author

Listed:
  • Christos Kollias

    (Department of Economics, University of Thessaly, Greece)

  • Suzanna-Maria Paleologou

    (Department of Economics, Aristotle University of Thessaloniki, Greece)

Abstract

Using SIPRI’s new consistent database on military expenditure and employing a panel vector autoregression (PVAR) methodology, the article investigates the nexus between military expenditure and two key macroeconomic variables, namely growth rates and investment spending for the case of the EU15 countries over the period 1961–2014. The findings reported herein do not support the effective demand stimulation argument for military spending. Thus, they broadly confirm the results of earlier studies for the EU15 that used the previous version of the SIPRI dataset.

Suggested Citation

  • Christos Kollias & Suzanna-Maria Paleologou, 2016. "Investment, growth, and defense expenditure in the EU15: Revisiting the nexus using SIPRI’s new consistent dataset," Economics of Peace and Security Journal, EPS Publishing, vol. 11(2), pages 28-37, October.
    • Handle: RePEc:epc:journl:v:11:y:2016:i:2:p:28-37
    as

    Download full text from publisher

    File URL: http://www.epsjournal.org.uk/index.php/EPSJ/article/view/247
    Download Restriction: Open access 24 months after original publication.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    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. J. Paul Dunne & Ron P. Smith, 2020. "Military Expenditure, Investment and Growth," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(6), pages 601-614, August.
    2. Duygu Yolcu Karadam & Nadir Öcal & Jülide Yildirim, 2023. "Distinct Asymmetric Effects of Military Spending on Economic Growth for Different Income Groups of Countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 34(4), pages 477-494, May.
    3. Kyriakos Emmanouilidis & Christos Karpetis, 2022. "Cross–Country Dependence, Heterogeneity and the Growth Effects of Military Spending," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(7), pages 842-856, October.
    4. Alessandra Cepparulo & Paolo Pasimeni, 2024. "Defence Spending in the European Union," European Economy - Discussion Papers 199, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    5. Charles Shaaba Saba & Nicholas Ngepah, 2022. "Nexus between defence spending, economic growth and development: evidence from a disaggregated panel data analysis," Economic Change and Restructuring, Springer, vol. 55(1), pages 109-151, February.
    6. Kyriakos Emmanouilidis, 2024. "Military Spending and Economic Output: A Decomposition Analysis of the US Military Budget," Defence and Peace Economics, Taylor & Francis Journals, vol. 35(2), pages 243-263, February.
    7. Kyriakos Emmanouilidis & Christos Karpetis, 2020. "The Defense–Growth Nexus: A Review of Time Series Methods and Empirical Results," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(1), pages 86-104, January.
    8. Charles Shaaba Saba & Nicholas Ngepah, 2022. "Nexus between telecommunication infrastructures, defence and economic growth: a global evidence," Netnomics, Springer, vol. 22(2), pages 139-177, October.
    9. Christos Kollias & Panayiotis Tzeremes, 2022. "Militarization, investment, and economic growth 1995–2019," Economics of Peace and Security Journal, EPS Publishing, vol. 17(1), pages 17-29, April.
    10. Christos Kollias & Suzanna-Maria Paleologou, 2019. "Military spending, economic growth and investment: a disaggregated analysis by income group," Empirical Economics, Springer, vol. 56(3), pages 935-958, March.
    11. Christos Kollias & Suzanna-Maria Paleologou & Panayiotis Tzeremes & Nickolaos Tzeremes, 2017. "Defence expenditure and economic growth in Latin American countries: evidence from linear and nonlinear causality tests," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-25, December.
    12. Karamanis, Dimitrios & Kechrinioti, Alexandra, 2023. "The Greek-Turkish rivalry: A Bayesian VAR approach," MPRA Paper 116827, University Library of Munich, Germany.
    13. Dimitrios Karamanis, 2022. "Defence partnerships, military expenditure, investment, and economic growth: an analysis in PESCO countries," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 173, Hellenic Observatory, LSE.

    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. Vassilis Monastiriotis & Cigdem Borke Tunali, 2020. "The Sustainability of External Imbalances in the European Periphery," Open Economies Review, Springer, vol. 31(2), pages 273-294, April.
    2. Neil A. Wilmot & Ariuna Taivan, 2021. "Examining the Impact of Financial Development on Energy Production in Emerging Economies," JRFM, MDPI, vol. 14(2), pages 1-17, February.
    3. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    4. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M., 2014. "Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 290-298.
    5. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    6. Iheonu O Chimere & Tochukwu Nwachukwu, 2020. "Macroeconomic determinants of household consumption in selected West African countries," Economics Bulletin, AccessEcon, vol. 40(2), pages 1596-1606.
    7. Marius-Răzvan Surugiu & Cristina-Raluca Mazilescu & Camelia Surugiu, 2021. "Analysis of the Tax Compliance in the EU: VECM and SEM," Mathematics, MDPI, vol. 9(17), pages 1-19, September.
    8. Apergis, Nicholas & Payne, James E., 2010. "Energy consumption and growth in South America: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 32(6), pages 1421-1426, November.
    9. Apergis, Nicholas & Payne, James E., 2010. "Coal consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(3), pages 1353-1359, March.
    10. Tongurai, Jittima & Vithessonthi, Chaiporn, 2018. "The impact of the banking sector on economic structure and growth," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 193-207.
    11. repec:zbw:rwirep:0557 is not listed on IDEAS
    12. Lin, Boqiang & Okoye, Jude O., 2023. "Towards renewable energy generation and low greenhouse gas emission in high-income countries: Performance of financial development and governance," Renewable Energy, Elsevier, vol. 215(C).
    13. Tajul Masron & Mduduzi Biyase & Talent Zwane & Thomas Udimal & Frederich Kirsten, 2023. "Ecological footprint and population health outcomes: an analysis of E7 countries," Economics Working Papers edwrg-07-2023, College of Business and Economics, University of Johannesburg, South Africa, revised 2023.
    14. Bernstein, Ronald & Madlener, Reinhard, 2011. "Responsiveness of Residential Electricity Demand in OECD Countries: A Panel Cointegation and Causality Analysis," FCN Working Papers 8/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    15. Hosan, Shahadat & Rahman, Md Matiar & Karmaker, Shamal Chandra & Saha, Bidyut Baran, 2023. "Energy subsidies and energy technology innovation: Policies for polygeneration systems diffusion," Energy, Elsevier, vol. 267(C).
    16. Inglesi-Lotz, Roula, 2016. "The impact of renewable energy consumption to economic growth: A panel data application," Energy Economics, Elsevier, vol. 53(C), pages 58-63.
    17. BADALYAN, Gohar & HERZFELD, Thomas & RAJCANIOVA, Miroslava, 2014. "Transport Infrastructure And Economic Growth: Panel Data Approach For Armenia, Georgia And Turkey," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 17(2), pages 1-10, October.
    18. Tang, Kin-Boon, 2011. "The precise form of uncovered interest parity: A heterogeneous panel application in ASEAN-5 countries," Economic Modelling, Elsevier, vol. 28(1-2), pages 568-573, January.
    19. Liddle, Brantley, 2013. "Population, Affluence, and Environmental Impact Across Development: Evidence from Panel Cointegration Modeling," MPRA Paper 52088, University Library of Munich, Germany.
    20. Mitze, Timo & Makkonen, Teemu, 2023. "Can large-scale RDI funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    21. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.

    More about this item

    Keywords

    Defense spending; panel vector autoregression; economic growth;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

    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:epc:journl:v:11:y:2016:i:2:p:28-37. 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: Michael Brown, Managing Editor, EPSJ (email available below). General contact details of provider: https://edirc.repec.org/data/ecaarea.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.