IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v127y2016i3d10.1007_s11205-015-0993-7.html
   My bibliography  Save this article

Military Expenditures and Unemployment Nexus for Selected South Asian Countries

Author

Listed:
  • Muhammad Azam

    (Universiti Utara Malaysia)

  • Faisal Khan

    (Universiti Teknologi Malaysia)

  • Khalid Zaman

    (University of Sargodha)

  • Amran Md. Rasli

    (Universiti Teknologi Malaysia)

Abstract

The objective of the study is to examine the relationship between military expenditures and unemployment rate in the panel of selected SAARC countries namely India, Nepal, Pakistan and Sri Lanka over the period ranging from 1990 to 2013. In particular, the study used multivariate framework to examine the long-run relationship between military expenditures and unemployment rate by taking into account the effect of macroeconomic variables namely energy consumption, GDP per capita, Foreign Direct Investment (FDI) net inflows and population growth rate. The empirical results show that all the variables exhibit non-stationary behavior and have long-run relationships between them. The results of panel DOLS show that military expenditures favor the employment rate in the SAARC region, as the estimated coefficient of military expenditure has a negative and more elastic relationship with the unemployment rate. Other factors i.e., energy consumption, GDP per capita and incoming FDI significantly decreases the unemployment rate in the SAARC region. However, population growth rate does not exhibit significant association with the unemployment rate during the period under the study. In a second regression apparatus, energy consumption, and GDP per capita significantly decrease the military spending, however, population growth rate significantly increases the military expenditures in the region. The results of causality indicate that there is an inverse causality between energy consumption, GDP per capita and population growth rate with the unemployment rate, while there is no significant causation between military spending and the rest of the variables in the short-run. In the long-run, there is a significant causation between the variables with the exception of population growth rate in SAARC region. These results are valuable both for policy makers and government officials to formulate their strategic polices for SAARC countries.

Suggested Citation

  • Muhammad Azam & Faisal Khan & Khalid Zaman & Amran Md. Rasli, 2016. "Military Expenditures and Unemployment Nexus for Selected South Asian Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1103-1117, July.
  • Handle: RePEc:spr:soinre:v:127:y:2016:i:3:d:10.1007_s11205-015-0993-7
    DOI: 10.1007/s11205-015-0993-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-015-0993-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11205-015-0993-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Kevin D. Hoover, 1995. "Relative Wages, Rationality, and Involuntary Unemployment in Keynes's Labor Market," History of Political Economy, Duke University Press, vol. 27(4), pages 653-685, Winter.
    2. 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.
    3. Hogrefe, Jan & Sachs, Andreas, 2014. "Unemployment and labor reallocation in Europe," ZEW Discussion Papers 14-083, ZEW - Leibniz Centre for European Economic Research.
    4. Goodness C. Aye & Mehmet Balcilar & John P. Dunne & Rangan Gupta & Rene� van Eyden, 2014. "Military expenditure, economic growth and structural instability: a case study of South Africa," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(6), pages 619-633, December.
    5. Arouri, Mohamed El Hedi & Ben Youssef, Adel & M'henni, Hatem & Rault, Christophe, 2014. "Exploring the Causality Links between Energy and Employment in African Countries," IZA Discussion Papers 8296, Institute of Labor Economics (IZA).
    6. Jorgenson, Andrew K. & Alekseyko, Alina & Giedraitis, Vincentas, 2014. "Energy consumption, human well-being and economic development in central and eastern European nations: A cautionary tale of sustainability," Energy Policy, Elsevier, vol. 66(C), pages 419-427.
    7. Ahmad, Fawad, 2013. "The Effect of Oil Prices on Unemployment: Evidence from Pakistan," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 4(1), pages 1-43, January.
    8. Julien Malizard, 2014. "Defense Spending and Unemployment in France," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(6), pages 635-642, December.
    9. Belloumi, Mounir, 2014. "The relationship between trade, FDI and economic growth in Tunisia: An application of the autoregressive distributed lag model," Economic Systems, Elsevier, vol. 38(2), pages 269-287.
    10. Josselin Droff & Alfredo R. Paloyo, 2015. "Assessing The Regional Economic Impacts Of Defense Activities: A Survey Of Methods," Journal of Economic Surveys, Wiley Blackwell, vol. 29(2), pages 375-402, April.
    11. 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.
    12. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    13. Masoud Ali Khalid & Alhaji Bukar Mustapha, 2014. "Long-Run Relationships and Causality Tests Between Military Expenditure and Economic Growth in India," The Economics and Finance Letters, Conscientia Beam, vol. 1(4), pages 49-58.
    14. Fumitaka Furuoka & Mikio Oishi & Mohd Aminul Karim, 2016. "Military expenditure and economic development in China: an empirical inquiry," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(1), pages 137-160, February.
    15. Sakiru Adebola Solarin & Pritish Kumar Sahu, 2015. "The effect of military expenditure on stock market development: panel evidence from system GMM estimates," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(3), pages 271-287, June.
    16. Masoud Ali Khalid & Alhaji Bukar Mustapha, 2014. "Long-Run Relationships and Causality Tests Between Military Expenditure and Economic Growth in India," The Economics and Finance Letters, Conscientia Beam, vol. 1(4), pages 49-58.
    17. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    18. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    19. Mark Hooker & Michael Knetter, 1994. "Unemployment Effects of Military Spending: Evidence from a Panel of States," NBER Working Papers 4889, National Bureau of Economic Research, Inc.
    20. Julide Yildirim & Selami Sezgin, 2003. "Military expenditure and employment in Turkey," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(2), pages 129-139.
    21. Costas KARFAKIS & Constantinos KATRAKILIDIS & Eftychia TSANANA, 2014. "Does output predict unemployment? A look at Okun's law in Greece," International Labour Review, International Labour Organization, vol. 153(3), pages 421-433, September.
    22. Huang, Bwo-Nung & Hwang, M.J. & Yang, C.W., 2008. "Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach," Ecological Economics, Elsevier, vol. 67(1), pages 41-54, August.
    23. Jenn-Hong Tang & Cheng-Chung Lai & Eric Lin, 2009. "Military Expenditure And Unemployment Rates: Granger Causality Tests Using Global Panel Data," Defence and Peace Economics, Taylor & Francis Journals, vol. 20(4), pages 253-267.
    24. World Bank, 2014. "World Development Indicators 2014," World Bank Publications - Books, The World Bank Group, number 18237, December.
    25. Chester, Eric, 1978. "Military Spending and Capitalist Stability," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 2(3), pages 293-298, September.
    26. Alfredo Marvão Pereira & Jorge M. Andraz, 2014. "On The Long-Term Macroeconomic Effects Of Social Security Spending:Evidence For 12 Eu Countries," Working Papers 150, Department of Economics, College of William and Mary.
    27. repec:ipg:wpaper:2014-475 is not listed on IDEAS
    28. Chia-I Pan & Tsangyao Chang & Yemane Wolde-Rufael, 2015. "Military Spending and Economic Growth in the Middle East Countries: Bootstrap Panel Causality Test," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(4), pages 443-456, August.
    29. Satya Paul, 1996. "Defence spending and unemployment rates: An empirical analysis for the OECD," Journal of Economic Studies, Emerald Group Publishing, vol. 23(2), pages 44-54, May.
    30. 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.
    31. Hou Na & Chen Bo, 2014. "Military Spending and Economic Growth in An Augmented Solow Model: A Panel Data Investigation for OECD Countries," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 20(3), pages 1-15, August.
    32. Eric S. Lin & Hamid E. Ali & Yu-Lung Lu, 2015. "Does Military Spending Crowd Out Social Welfare Expenditures? Evidence from a Panel of OECD Countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(1), pages 33-48, February.
    33. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chletsos Michael & Roupakias Stelios, 2020. "The effect of military spending on income inequality: evidence from NATO countries," Empirical Economics, Springer, vol. 58(3), pages 1305-1337, March.
    2. Hanif, Abu & Salah Uddin, Muhammad & Bakirtas, Tahsin & Kader, Sheikh Abdul, 2023. "Military Expenditure and Unemployment Nexus in Bangladesh," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 15(1), pages 157-184, January.

    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. Hanif, Abu & Salah Uddin, Muhammad & Bakirtas, Tahsin & Kader, Sheikh Abdul, 2023. "Military Expenditure and Unemployment Nexus in Bangladesh," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 15(1), pages 157-184, January.
    2. 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.
    3. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    4. Kahia, Montassar & Ben Aissa, Mohamed Safouane, 2014. "Renewable and non-renewable energy consumption and economic growth: Evidence from MENA Net Oil Exporting Countries," MPRA Paper 80776, University Library of Munich, Germany.
    5. Chletsos Michael & Roupakias Stelios, 2020. "The effect of military spending on income inequality: evidence from NATO countries," Empirical Economics, Springer, vol. 58(3), pages 1305-1337, March.
    6. Dina Azhgaliyeva, 2013. "What Makes Oil Revenue Funds Effective," International Conference on Energy, Regional Integration and Socio-economic Development 6023, EcoMod.
    7. Suna Korkmaz, 2015. "The Effect of Military Spending on Economic Growth and Unemployment in Mediterranean Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 5(1), pages 273-280.
    8. 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.
    9. Chien-Chiang Lee & Tie-Ying Liu, 2017. "Insurance development, banking activities, and regional output: evidence from China," Empirical Economics, Springer, vol. 53(3), pages 1059-1081, November.
    10. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    11. Cosimo Magazzino & Lorenzo Giolli & Marco Mele, 2015. "Wagner's Law and Peacock and Wiseman's Displacement Effect in European Union Countries: A Panel Data Study," International Journal of Economics and Financial Issues, Econjournals, vol. 5(3), pages 812-819.
    12. Dąbrowski, Marek A. & Papież, Monika & Śmiech, Sławomir, 2014. "Exchange rates and monetary fundamentals in CEE countries: Evidence from a panel approach," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 148-159.
    13. 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.
    14. Elya Nabila Abdul Bahri & Abu Hassan Shaari Md Nor & Nor Hakimah Haji Mohd Nor, 2018. "The Role of Financial Development on Foreign Direct Investment in ASEAN-5 Countries: Panel Cointegration with Cross-Sectional Dependency Analysis," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 14(1), pages 1-23.
    15. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    16. Liddle, Brantley, 2012. "The importance of energy quality in energy intensive manufacturing: Evidence from panel cointegration and panel FMOLS," Energy Economics, Elsevier, vol. 34(6), pages 1819-1825.
    17. Omri, Anis, 2018. "Entrepreneurship, sectoral outputs and environmental improvement: International evidence," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 46-55.
    18. Ferreira, Cândida, 2020. "Globalisation and Economic Growth: A Panel Data Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 187-236.
    19. Damette, Olivier & Seghir, Majda, 2013. "Energy as a driver of growth in oil exporting countries?," Energy Economics, Elsevier, vol. 37(C), pages 193-199.
    20. Alvarado, Rafael & Murshed, Muntasir & Cifuentes-Faura, Javier & Işık, Cem & Razib Hossain, Mohammad & Tillaguango, Brayan, 2023. "Nexuses between rent of natural resources, economic complexity, and technological innovation: The roles of GDP, human capital and civil liberties," Resources Policy, Elsevier, vol. 85(PA).

    More about this item

    Keywords

    Military spending; Unemployment; Panel data; SAARC countries;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    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:spr:soinre:v:127:y:2016:i:3:d:10.1007_s11205-015-0993-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.