IDEAS home Printed from https://ideas.repec.org/a/taf/defpea/v26y2015i1p49-74.html
   My bibliography  Save this article

Military Expenditures, Income Inequality, Welfare and Political Regimes: A Dynamic Panel Data Analysis

Author

Listed:
  • �nal T�ng�r
  • Adem Y. Elveren

Abstract

The goal of this paper is to investigate the relationship between type of welfare regimes and military expenditures. There is a sizeable empirical literature on the development of the welfare state and on the typology of the welfare regimes. There appear to be, however, no empirical studies that examine welfare regimes with special attention to military spending. This study aims at providing a comprehensive analysis on the topic by considering several different welfare regime typologies. To do so, we use dynamic panel data analysis for 37 countries for the period of 1988-2003 by considering a wide range of control variables such as inequality measures, number of terrorist events, and size of the armed forces. We also replicate the same analyses for the political regimes. Our findings, in line with the literature, show that there is a positive relationship between income inequality and share of military expenditures in the central government budget, and that the number of terrorist events is a significant factor that affects both the level of military expenditure and inequality. Also, the paper reveals a significant negative relationship between social democratic welfare regimes and military expenditures.

Suggested Citation

  • �nal T�ng�r & Adem Y. Elveren, 2015. "Military Expenditures, Income Inequality, Welfare and Political Regimes: A Dynamic Panel Data Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(1), pages 49-74, February.
  • Handle: RePEc:taf:defpea:v:26:y:2015:i:1:p:49-74
    DOI: 10.1080/10242694.2013.848577
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10242694.2013.848577
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10242694.2013.848577?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. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    2. Tim Krieger & Daniel Meierrieks, 2011. "What causes terrorism?," Public Choice, Springer, vol. 147(1), pages 3-27, April.
    3. Unknown, 2009. "Indicators June-09," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-4, June.
    4. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    5. Whelan, Christopher T. & Maitre, Bertrand, 2008. "Comparing Poverty Indicators in an Enlarged EU," Papers WP263, Economic and Social Research Institute (ESRI).
    6. Mark Gradstein & Branko Milanovic, 2000. "Does Liberté = Egalité? A Survey of the Empirical Evidence on the Links between Political Democracy and Income Inequality," CESifo Working Paper Series 261, CESifo.
    7. Krishna Chaitanya Vadlamannati & K K Shakya Lahiru Pathmalal, 2008. "Exploring The Relationship Between Military Spending & Human Rights Performance In South Asia," William Davidson Institute Working Papers Series wp941, William Davidson Institute at the University of Michigan.
    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. Töngür, Ünal & Hsu, Sara & Elveren, Adem Yavuz, 2015. "Military expenditures and political regimes: Evidence from global data, 1963–2000," Economic Modelling, Elsevier, vol. 44(C), pages 68-79.
    3. Antonella Biscione & Raul Caruso, 2021. "Military Expenditures and Income Inequality Evidence from a Panel of Transition Countries (1990-2015)," Defence and Peace Economics, Taylor & Francis Journals, vol. 32(1), pages 46-67, January.
    4. Syed Ali Raza & Muhammad Shahbaz & Sudharshan Reddy Paramati, 2017. "Dynamics of Military Expenditure and Income Inequality in Pakistan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(3), pages 1035-1055, April.
    5. Caruso Raul & Antonella Biscione, 2022. "Militarization and Income Inequality in European Countries (2000–2017)," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 28(3), pages 267-285, September.
    6. Ying Zhang & Xiaoxing Liu & Jiaxin Xu & Rui Wang, 2017. "Does military spending promote social welfare? A comparative analysis of the BRICS and G7 countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(6), pages 686-702, November.
    7. Biyase, Mduduzi & Eita, Hinaunye & Udimal, Thomas & Zwane, Talent, 2022. "Military Spending and Inequality in South Africa: An ARDL Bound Testing Approach to Cointegration," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 75(2), pages 241-268.
    8. Sajjad F. Dizaji & Mohammad Reza Farzanegan, 2023. "Democracy and Militarization in Developing Countries: A Panel Vector Autoregressive Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 34(3), pages 272-292, April.
    9. Charles Shaaba Saba & Nicholas Ngepah, 2021. "Nexus between telecommunication infrastructures, defence and economic growth: a global evidence," Netnomics, Springer, vol. 22(2), pages 139-177, December.
    10. Chiung-Ju Huang & Yuan-Hong Ho, 2018. "Does Taiwan's Defense Spending Crowd out Education and Social Welfare Expenditures?," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 14(1), pages 67-82, February.
    11. Wang, Kai-Hua & Su, Chi-Wei & Lobonţ, Oana-Ramona & Umar, Muhammad, 2021. "Whether crude oil dependence and CO2 emissions influence military expenditure in net oil importing countries?," Energy Policy, Elsevier, vol. 153(C).
    12. Natalia Utrero-González & Jana Hromcová & Francisco J. Callado-Muñoz, 2019. "Defence Spending, Institutional Environment and Economic Growth: Case of NATO," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(5), pages 525-548, July.
    13. Caruso Raul & Antonella Biscione, 2022. "Militarization and Income Inequality in European Countries (2000–2017)," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 28(3), pages 267-285, September.
    14. Ying Zhang & Rui Wang & Dongqi Yao, 2017. "Does defence expenditure have a spillover effect on income inequality? A cross-regional analysis in China," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(6), pages 731-749, November.
    15. Muhammad, Shahbaz & Reza, Sherafatian-Jahromi & Muhammad, Nasir Malik, 2012. "Linkages between Defence Spending and Income Inequality in Iran," MPRA Paper 41983, University Library of Munich, Germany, revised 14 Oct 2012.
    16. Khalid Zaman, 2019. "Does higher military spending affect business regulatory and growth specific measures? Evidence from the group of seven (G-7) countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(1), pages 323-348, April.
    17. Yemane Wolde-Rufael, 2016. "Military expenditure and income distribution in South Korea," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(4), pages 571-581, August.
    18. Hinaunye Eita & Mduduzi Biyase & Thomas Udimal & Talent Zwane, 2022. "Does military spending affect inequality in South Africa? A revisit," Economics Working Papers edwrg-03-2022, College of Business and Economics, University of Johannesburg, South Africa, revised 2022.
    19. 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.
    20. Ceyhun Elgin & Adem Y. Elveren & Gökçer Özgür & Gül Dertli, 2022. "Military spending and sustainable development," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1466-1490, August.
    21. Rosella Cappella Zielinski & Benjamin O Fordham & Kaija E Schilde, 2017. "What goes up, must come down? The asymmetric effects of economic growth and international threat on military spending," Journal of Peace Research, Peace Research Institute Oslo, vol. 54(6), pages 791-805, November.
    22. Elveren Adem Yavuz & Taşıran Ali Cevat, 2021. "Soft Modeling of Military Expenditure, Income Inequality, and Profit Rate, 1988–2008," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 27(3), pages 405-430, September.
    23. Adem Elveren & Valentine M. Moghadam, 2019. "The impact of militarization on gender inequality and female labor force participation," Working Papers 1307, Economic Research Forum, revised 21 Aug 2019.

    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. Unal Tongur & Adem Yavuz Elveren, 2012. "Military Expenditures, Inequality, and Welfare and Political Regimes: A Dynamic Panel Data Analysis," ERC Working Papers 1210, ERC - Economic Research Center, Middle East Technical University, revised Dec 2012.
    2. Töngür, Ünal & Hsu, Sara & Elveren, Adem Yavuz, 2015. "Military expenditures and political regimes: Evidence from global data, 1963–2000," Economic Modelling, Elsevier, vol. 44(C), pages 68-79.
    3. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    4. Hakkala, Katariina & Heyman, Fredrik & Sjöholm, Fredrik, 2007. "Cross-Border Acquisitions, Multinationals and Wage Elasticities," Working Paper Series 709, Research Institute of Industrial Economics.
    5. Nucci, Francesco & Pozzolo, Alberto Franco, 2010. "The exchange rate, employment and hours: What firm-level data say," Journal of International Economics, Elsevier, vol. 82(2), pages 112-123, November.
    6. Briglauer, Wolfgang & Dürr, Niklas S. & Gugler, Klaus, 2019. "A retrospective study on the regional benefits and spillover effects of high-speed broadband networks: Evidence from German counties," ZEW Discussion Papers 19-026, ZEW - Leibniz Centre for European Economic Research.
    7. Fabbri, Francesca & Marin, Dalia, 2012. "What explains the rise in CEO pay in Germany? A Panel Data Analysis for 1977-2009," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 374, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    8. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    9. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    10. Holger Zemanek & Ansgar Belke & Gunther Schnabl, 2009. "Current Account Imbalances and Structural Adjustment in the Euro Area: How to Rebalance Competitiveness," Discussion Papers of DIW Berlin 895, DIW Berlin, German Institute for Economic Research.
    11. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    12. Alpanda, Sami & Honig, Adam, 2014. "The impact of central bank independence on the performance of inflation targeting regimes," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 118-135.
    13. Patrizia Ordine & Giuseppe Rose, 2008. "Local Banks Efficiency and Employment," LABOUR, CEIS, vol. 22(3), pages 469-493, September.
    14. Jing Li & Tsun Se Cheong & Jianfa Shen & Dahai Fu, 2019. "Urbanization And Rural–Urban Consumption Disparity: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 983-996, September.
    15. Samargandi, Nahla & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Is the Relationship Between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle-Income Countries," World Development, Elsevier, vol. 68(C), pages 66-81.
    16. Qichun He, 2016. "Do Political Factors Cause the Regional Inequality in the Reform-Era China?," Review of Development Economics, Wiley Blackwell, vol. 20(2), pages 387-398, May.
    17. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    18. Potrafke, Niklas, 2013. "Globalization and labor market institutions: International empirical evidence," Journal of Comparative Economics, Elsevier, vol. 41(3), pages 829-842.
    19. Nurettin Can & Lutfu Sagbansua, 2015. "Quantitative Analysis on Innovation Index of OECD Countries," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(8), pages 210-220, August.
    20. Bai-Chen Xie & Jie Gao & Shuang Zhang & ZhongXiang Zhang, 2017. "What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-efficiency," Working Papers 2017.12, Fondazione Eni Enrico Mattei.

    More about this item

    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:taf:defpea:v:26:y:2015:i:1:p:49-74. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GDPE20 .

    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.