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Democratic peace and the norms of the public: a multilevel analysis of the relationship between regime type and citizens’ bellicosity, 1981–2008

Published online by Cambridge University Press:  31 March 2016

Jo Jakobsen*
Affiliation:
Associate Professor, Norwegian University of Science and Technology
Tor G. Jakobsen*
Affiliation:
Professor, Norwegian University of Science and Technology
Eirin Rande Ekevold*
Affiliation:
Research Assistant, Norwegian University of Science and Technology
*
*Correspondence to: Jo Jakobsen, Department of Sociology and Political Science, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway. Author’s email: jo.jakobsen@svt.ntnu.no
For Tor G. Jakobsen: Trondheim Business School, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway. Author’s email: tor.g.jakobsen@ntnu.no
For Eirin Rande Ekevold: Department of Sociology and Political Science, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway. Author’s email: eirineke@gmail.com

Abstract

The democratic peace literature has convincingly shown that democracies do not fight other democracies. Theoretical explanations of this empirical phenomenon often claim that the citizenry in democracies prefers peaceful resolution of interstate conflicts. Still, there is a dearth of studies exploring the public’s preferences and values directly. We seek to rectify this by investigating, in a novel way, the relationship between regime type and citizens’ bellicosity. A comprehensive multilevel research design is employed, with data spanning 72 countries over the period of 1981–2008. This enables us to test one of the theoretical mainstays of the democratic peace thesis, viz., that regime type helps shape individuals’ attitudes toward war-fighting. Our results lend special support to normative democratic peace theory: Citizens of democracies are significantly more pacifistic than citizens of non-democracies. This result upholds when we rigorously control for other relevant factors, including specific characteristics of individuals and rival theoretical explanations.

Type
Articles
Copyright
© British International Studies Association 2016 

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33 Data and Do-file can be obtained by request from the corresponding author.

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37 The regressions were run in Stata (version 13), employing a random intercept model.

38 For a further elaboration of the WVS methodology and sampling procedures, see World Values Survey’s home page, available at: {http://www.worldvaluessurvey.org/}. The datasets are made available through the Norwegian Social Science Data Services (NSD). Neither Ronald Inglehart, WVS, or NSD are responsible for the analysis or interpretations made in this article.

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40 A sixth WVS wave was released at the time of writing.

41 Despite that there are five WVS waves, the number of units at Level 2 is only slightly double that of Level 3. This is primarily due to variations in the number of countries surveyed in each wave. In addition, some of the survey questions that form the basis of our individual-level data are not included for certain country-years.

42 On the basis of a so-called empty model, we estimated the share of variance attributable to each of the three levels. Level 1 accounts for 86.8 per cent; Level 2=3.5 per cent; and Level 3=9.7 per cent. The relatively low share attributable to Level 2 likely obtains because country-specific characteristics usually change only slowly over time; Level 3 presumably captures a substantial portion of this variance.

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47 Indeed, snapshots of scores on the dependent variable do suggest that there are mechanisms present that cannot be explained by any systematic bias in the data. For example, national scores on Bellicosity for three of the liberal-democratic Nordic countries – Norway, Sweden and Finland – are quite high (always above 0.83). This is likely due to their proximity to Russia/USSR or, relatedly, to the existence of military conscription. We account for such mechanisms in the empirical analysis.

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50 The question posed to respondents is: How proud are you to be an [name of country]? (1) Very proud; (2) Quite proud; (3) Not very proud; (4) Not at all proud. We recoded the variable prior to the statistical analysis so that high values reflect high national pride.

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53 Available at: {http://www.freedomhouse.org/}.

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55 See Stinnett, Douglas M., Tir, Jaroslav, Diehl, Paul F., Schafer, Philip, and Gochman, Charles, ‘The Correlates of War (COW) Project Direct Contiguity Data, Version 3.0’, Conflict Management and Peace Science, 19:2 (2002), pp. 5967 Google Scholar. This definition means that two countries are considered neighbours if they share a land or river border, or if they are separated by no more than 400 miles of water. See also {http://www.correlatesofwar.org/cow2%20data/directcontiguity/dcv3desc.htm}.

56 Maoz and Russett, ‘Normative and structural causes of democratic peace’.

57 Regime change is defined as a change in the Polity Index of three points or more over a period of no more than three years.

58 Available at: {http://hdr.undp.org/en/data}. The Human Development Index (HDI) does not cover every year of the period of interest. We used linear interpolation to fill in numbers for missing years, under the assumption that the key components of HDI – health, education and standard of living – tend to change only slowly.

59 Available at: {http://data.worldbank.org/}.

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64 The recalculation of CINC scores is based on a prior division of the world into five geopolitically relevant regions: Europe (including Russia and the CIS countries); the Americas; Asia and Oceania (excluding the Middle East); sub-Saharan Africa; and the Middle East (including North Africa).

65 Bremer, ‘Dangerous dyads’, p. 322.

66 Rock, ‘Anglo–US relations, 1845–1930’; Rosato, ‘The flawed logic of the democratic peace theory’, pp. 599–600.

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72 Diez-Nicolas, ‘Values about conflict, war and peace’.

73 Inglehart, Puranen, and Welzel, ‘The individual-level basis of the long peace’, p. 432.

74 Maoz and Russett, ‘Normative and structural causes of democratic peace’.

75 This variable, which is computed based on the Correlates of War Project’s Interstate War Data, takes the value 1 if a country was on the losing side in the Second World War (and 0 otherwise); see Paez, Dario, Liu, James H., Techio, Elza, Slawuta, Patricia, Zlobina, Anya, and Cabecinas, Rosa, ‘“Remembering” World War II and willingness to fight: Sociocultural factors in the social representation of historical warfare across 22 societies’, Journal of Cross-Cultural Psychology, 39:4 (2008), pp. 373380 Google Scholar.

76 Data are from Stockholm Peace Research Institute, available at: {http://www.sipri.org/research/armaments/milex}.

77 We coded the variable ourselves based on information from Internet sources, including the CIA World Factbook, available at: {https://www.cia.gov/library/publications/the-world-factbook/}; ChartsBin, available at: {http://chartsbin.com/} and a number of country-specific sources.

78 The war measure is based on a variable from University of Uppsala and the Peace Research Institute in Oslo, which uses a threshold of 25 battle-related deaths in a year. We created a dummy taking the value 1 if a country had experienced war in the year in question or in the two previous years. (See {http://www.pcr.uu.se/research/ucdp/datasets/ucdp_prio_armed_conflict_dataset/}.) Our measure of militarised interstate disputes (MIDs) uses the average number of MIDs for the year in question and the previous two years. Data are from the Correlates of War Project, available at: {http://www.correlatesofwar.org/data-sets/MIDs}.

79 Kant, Perpetual Peace, p. 54.

80 Ibid.

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