IDEAS home Printed from https://ideas.repec.org/a/ris/ecoint/0777.html
   My bibliography  Save this article

Military Spending-Household Consumption Nexus: A Heterogeneous Panel Data Approach - La relazione tra spesa militare e consumi delle fam iglie: un approccio panel data

Author

Listed:
  • ANORUO, Emmanuel

    (Department of Accounting and Management Information Systems, Coppin State University)

  • AKPOM, Uchenna

    (Department of Accounting, Finance and Economics, Th e University of West Alabama)

Abstract

This paper explores the relationship between milita ry spending and household consumption for a panel of fifteen African countries. Specifically, the study seeks to ascertain the substitutability or complementarity effects of military spending on household consumption using the panel Granger causality tests. The results from the unit root and cointegration tests indicate that the military spending and household consumption series have one order of integration as well as cointegrated. The Granger causality test results re veal that there is evidence of long run bidirectional causality between military spending a nd household consumption for the entire panel. The results from the Panel Dynamic OLS indic ate that military spending and household consumption positively influence each other in the long run. Taken together, the results suggest that military spending and household consumption ar e complementary. - Questo studio analizza la relazione tra la spesa mi litare e i consumi delle famiglie su un campione di quindici paesi africani. In particolare lo scopo di questo lavoro è accertare gli effetti di sostituibilità o complementarietà della spesa mi litare con i consumi delle famiglie tramite l’utilizzo di test di causalità di Granger. I risul tati dei test di radice unitaria e di cointegrazion e indicano che le serie della spesa militare e dei co nsumi delle famiglie hanno un ordine di integrazione e uno di cointegrazione. I risultati d ei test di Granger rivelano causalità bidirezionale nel lungo periodo tra spesa militare e consumi delle famiglie per tutto il panel . I risultati del test dei minimi quadrati ordinari (Pa nel Dynamic OLS) indicano che la spesa militare e i consumi delle famiglie si influenzano reciprocamente in senso posito nel lungo periodo. Considerati nel loro complesso i risultati suggeriscono che la spesa militare e i consumi delle famiglie sono complementari.

Suggested Citation

  • ANORUO, Emmanuel & AKPOM, Uchenna, 2016. "Military Spending-Household Consumption Nexus: A Heterogeneous Panel Data Approach - La relazione tra spesa militare e consumi delle fam iglie: un approccio panel data," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(3), pages 175-192.
  • Handle: RePEc:ris:ecoint:0777
    as

    Download full text from publisher

    File URL: http://www.iei1946.it/upload/rivista_articoli/allegati/117_hsingric100517.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Jörg Breitung & Samarjit Das, 2005. "Panel unit root tests under cross‐sectional dependence," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(4), pages 414-433, November.
    3. Edelstein, Michael, 1990. "What Price Cold War? Military Spending and Private Investment in the U.S., 1946-1979," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 14(4), pages 421-437, December.
    4. Jorg Breitung, 2005. "A Parametric approach to the Estimation of Cointegration Vectors in Panel Data," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 151-173.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. David Canning & Peter Pedroni, 2008. "Infrastructure, Long‐Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, September.
    7. Evans, Paul & Karras, Georgios, 1998. "Liquidity Constraints and the Substitutability between Private and Government Consumption: The Role of Military and Non-military Spending," Economic Inquiry, Western Economic Association International, vol. 36(2), pages 203-214, April.
    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. Daniel, Betty C. & Shiamptanis, Christos, 2013. "Pushing the limit? Fiscal policy in the European Monetary Union," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2307-2321.
    2. Betty Daniel & Christos Shiamptanis, 2008. "Fiscal Policy in the European Monetary Union," Discussion Papers 08-11, University at Albany, SUNY, Department of Economics.
    3. 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.
    4. Drakos, Anastassios A. & Kouretas, Georgios P. & Stavroyiannis, Stavros & Zarangas, Leonidas, 2017. "Is the Feldstein-Horioka puzzle still with us? National saving-investment dynamics and international capital mobility: A panel data analysis across EU member countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 76-88.
    5. Herzer, Dierk & Nunnenkamp, Peter, 2013. "Private Donations, Government Grants, Commercial Activities, and Fundraising: Cointegration and Causality for NGOs in International Development Cooperation," World Development, Elsevier, vol. 46(C), pages 234-251.
    6. Alper Yılmaz, 2023. "Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa," SN Business & Economics, Springer, vol. 3(2), pages 1-28, February.
    7. Dina Azhgaliyeva, 2013. "What Makes Oil Revenue Funds Effective," International Conference on Energy, Regional Integration and Socio-economic Development 6023, EcoMod.
    8. Tullio Gregori & Marco Giansoldati, 2023. "Do current and capital account liberalizations affect economic growth in the long run?," Empirical Economics, Springer, vol. 65(1), pages 247-273, July.
    9. Dierk Herzer, 2016. "Unions and Income Inequality: A Heterogeneous Panel Co-integration and Causality Analysis," LABOUR, CEIS, vol. 30(3), pages 318-346, September.
    10. Saeid Mahdavi & Emmanuel Alanis, 2013. "Public expenditures and the unemployment rate in the American states: panel evidence," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2926-2937, July.
    11. Muhammad Shafiullah & Ravinthirakumaran Navaratnam, 2016. "Do Bangladesh and Sri Lanka Enjoy Export-Led Growth? A Comparison of Two Small South Asian Economies," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(1), pages 114-132, March.
    12. Murach, Michael & Wagner, Helmut & Kim, Jungsuk & Park, Donghyun, 2022. "Trajectories to high income: Comparing the growth dynamics in China, South Korea, and Japan with cointegrated VAR models," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 492-511.
    13. Muhammad Shahbaz & Syed Jawad Hussain Shahzad & Mantu Kumar Mahalik & Perry Sadorsky, 2018. "How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1479-1494, March.
    14. Dierk Herzer & Philipp Hühne & Peter Nunnenkamp, 2014. "FDI and Income Inequality—Evidence from Latin American Economies," Review of Development Economics, Wiley Blackwell, vol. 18(4), pages 778-793, November.
    15. Guan, Jialin & Kirikkaleli, Dervis & Bibi, Ayesha & Zhang, Weike, 2020. "Natural resources rents nexus with financial development in the presence of globalization: Is the “resource curse” exist or myth?," Resources Policy, Elsevier, vol. 66(C).
    16. Solomon P. Nathaniel & Festus V. Bekun, 2020. "Electricity Consumption, Urbanization and Economic Growth in Nigeria: New Insights from Combined Cointegration amidst Structural Breaks," Research Africa Network Working Papers 20/013, Research Africa Network (RAN).
    17. Enrique Moral-Benito & Luis Serv鮠, 2015. "Testing weak exogeneity in cointegrated panels," Applied Economics, Taylor & Francis Journals, vol. 47(30), pages 3216-3228, June.
    18. Mitze, Timo & Matz, Florian, 2015. "Public debt and growth in German federal states: What can Europe learn?," Journal of Policy Modeling, Elsevier, vol. 37(2), pages 208-228.
    19. T. Gries & M. Redlin, 2020. "Trade and economic development: global causality and development- and openness-related heterogeneity," International Economics and Economic Policy, Springer, vol. 17(4), pages 923-944, October.
    20. 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.

    More about this item

    Keywords

    Military Spending; Household Consumption; Causality; Cointegration;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

    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:ris:ecoint:0777. 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: Angela Procopio (email available below). General contact details of provider: https://edirc.repec.org/data/cacogit.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.