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An identified systemic model of the democracy-peace nexus

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  • Patrick James
  • Eric Solberg
  • Murray Wolfson

Abstract

In previous empirical work, the basis for the proposition that democratic countries do not fight each other has been a single equation regression of hostility on democracy and other variables. This approach is misleading for two reasons. First, peace and democracy are part of a simultaneous system of relations in which they foster each other. Before quantitative inferences which affect policy conclusions can be reached, a separate structural equation has to be estimated corresponding to each of these variables. The equations must be distinguishable from one another at the same time as they embody the interdependence between peace and democracy. Second, previous regression studies emphasized the statistical association between democracy and peace rather than focusing on the substantive magnitude of that effect. To demonstrate the sensitivity of the results to these concerns, we accepted the data and indexes of one of the most influential statements of the peace-democracy thesis, and studied the Cold War period where it is deemed strongest. We differed from the prevailing paradigm by estimating an identified, simultaneous two-equation interactive system. In this more properly specified model, the dyadic democracy-peace nexus generally was not statistically significant and, more important, was very small in its impact. The alternative, peace causing democracy, was much stronger. Neither equation in the simultaneous system explained more than six per cent of the variance, so that other factors are likely to be much more important. Deterrence of aggression and patient negotiation of differences may be a more important guide to public policy than attempts to export western, democratic institutions to other nations. The analysis of these data show that it is more likely that the most important differences that arise between nations are specific to historic epochs and their political and socio-economic conjunctures. Various other indices have been suggested for conflict and democracy in the literature, as well as numerous modifications of the additional variables to be included in the regression equations. The results have tended to be variable with respect to these modifications, but the failure of single equation model specifications to deal with the problem of simultaneous causation makes their results subject to our fundamental methodological criticism and unable to support the burden of policy recommendations.

Suggested Citation

  • Patrick James & Eric Solberg & Murray Wolfson, 1999. "An identified systemic model of the democracy-peace nexus," Defence and Peace Economics, Taylor & Francis Journals, vol. 10(1), pages 1-37.
  • Handle: RePEc:taf:defpea:v:10:y:1999:i:1:p:1-37
    DOI: 10.1080/10430719908404914
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    References listed on IDEAS

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    1. Keynes, John Maynard, 1919. "The Economic Consequences of the Peace," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number keynes1919.
    2. Murray Wolfson, 1992. "Essays on the Cold War," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-12005-5.
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    Cited by:

    1. Sajjad Faraji Dizaji, 2019. "Trade openness, political institutions, and military spending (evidence from lifting Iran’s sanctions)," Empirical Economics, Springer, vol. 57(6), pages 2013-2041, December.
    2. Seung-Whan Choi, 2010. "Beyond Kantian Liberalism," Conflict Management and Peace Science, Peace Science Society (International), vol. 27(3), pages 272-295, July.
    3. Sajjad F. Dizaji & Mohammad Reza Farzanegan & Alireza Naghavi, 2016. "Political institutions and government spending behavior: theory and evidence from Iran," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 23(3), pages 522-549, June.
    4. Kelly M. Kadera & Sara McLaughlin Mitchell, 2005. "Heeding Ray's Advice: An Exegesis on Control Variables in Systemic Democratic Peace Research," Conflict Management and Peace Science, Peace Science Society (International), vol. 22(4), pages 311-326, September.
    5. Chang, Yuan-Ching & Polachek, Solomon W. & Robst, John, 2004. "Conflict and trade: the relationship between geographic distance and international interactions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(4), pages 491-509, September.
    6. Mohammad Reza Farzanegan & Sajjad Faraji Dizaji, 2014. "Political Institutions and Government Spending Behavior in Iran," MAGKS Papers on Economics 201403, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    7. Christos Kollias & Suzanna-Maria Paleologou, 2017. "The Globalization and Peace Nexus: Findings Using Two Composite Indices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(3), pages 871-885, April.
    8. Jason Enia & Patrick James, 2015. "Regime Type, Peace, and Reciprocal Effects," Social Science Quarterly, Southwestern Social Science Association, vol. 96(2), pages 523-539, June.
    9. Michael Mousseau, 2005. "Comparing New Theory with Prior Beliefs: Market Civilization and the Democratic Peace," Conflict Management and Peace Science, Peace Science Society (International), vol. 22(1), pages 63-77, February.
    10. Seung-Whan Choi, 2010. "Legislative Constraints: A Path to Peace?," Journal of Conflict Resolution, Peace Science Society (International), vol. 54(3), pages 438-470, June.
    11. Sebastian Rosato, 2011. "On the Democratic Peace," Chapters, in: Christopher J. Coyne & Rachel L. Mathers (ed.), The Handbook on the Political Economy of War, chapter 15, Edward Elgar Publishing.
    12. Sara McLaughlin Mitchell & Scott Gates & HÃ¥vard Hegre, 1999. "Evolution in Democracy-War Dynamics," Journal of Conflict Resolution, Peace Science Society (International), vol. 43(6), pages 771-792, December.
    13. Buscema, Massimo & Ferilli, Guido & Sacco, Pier Luigi, 2017. "What kind of ‘world order’? An artificial neural networks approach to intensive data mining," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 46-56.

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