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The Individual–Institutional Nexus of Protest Behaviour

Published online by Cambridge University Press:  08 December 2009

Abstract

Political protest is seemingly a ubiquitous aspect of politics in advanced industrial societies, and its use may be spreading to less developed nations as well. Our research tests several rival theories of protest activity for citizens across an exceptionally wide range of polities. With data from the 1999–2002 wave of the World Values Survey, we demonstrate that the macro-level context – levels of economic and political development – significantly influences the amount of popular protest. Furthermore, a multi-level model examines how national context interacts with the micro-level predictors of protest activity. The findings indicate that contemporary protest is expanding not because of increasing dissatisfaction with government, but because economic and political development provide the resources for those who have political demands.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2009

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References

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28 Resource mobilization theorists highlight the importance of social movement organizations, and resources for these organizations, as a base for contentious politics. The existence of social movement organizations to mobilize the public can be a crucial variable linking dissatisfaction to political action. The theory leads us to expect that there is a greater propensity to protest (and participate in other activities) where a rich civil society exists and where citizens engage in voluntary associations.

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34 In addition, ideological extremism – on either the left or the right – is generally related to protest activity. At the cross-national level, support for extremist parties or the percentage of ideological extremists was positively related to the incidence of protests once other national conditions are controlled See Powell, G. Bingham, Contemporary Democracies: Participation, Stability, and Violence (Cambridge, Mass.: Harvard University Press, 1982)Google Scholar; Dalton, Russell J. and van Sickle, Alix, ‘The Resource, Structural, and Cultural Bases of Protest’ Center for the Study of Democracy. Paper 05-11 (August 8, 2005). http://repositories.cdlib.org/csd/05-11Google Scholar.

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37 We analysed the May 2004 release of the fourth wave of the World Values Survey, which includes about a dozen nations from the 1995–98 wave that were not surveyed in the 1999–2002 wave. The nations from the 1995–98 wave are denoted by the survey dates in Table 1.

38 We performed a principal components analysis for the 1999–2002 wave, combining all respondents. Only one factor emerged with an eigenvalue greater than 1.0 and all five variables loaded strongly on this factor: Signed a petition 0.70; Lawful demonstration 0.78; Unofficial strike 0.75; Occupied a building 0.62; Eigenvalue 2.62; %Variance 52.3%.

39 We counted those who had actually done each activity to construct a more robust protest index. Several of these items have low participation rates that would limit the potential for comparing different forms of protest. However, combining items with varying frequency into an index gives us variation across the thresholds of protest and a better summary measure of protest activity. In El Salvador, South Korea and Vietnam, the survey did not ask one of the more demanding forms of protest. In these cases, we double-counted a comparable protest item in order to estimate a roughly comparable cross-national value. Otherwise, we would have had to drop these nations from the analyses. To check the validity of the cross-national patterns from the World Values Survey, we compared national scores on the WVS protest index to a measure of civil domestic conflict from the new World Handbook database. The World Handbook coded events from the Reuters Business Briefs, which by the late 1990s had fairly wide international coverage. This textual material was analysed by the KEDS automated content analysis programme, with a dictionary designed to measure protest and political violence. We included all civil direct actions (crime incidents, violence attacks and assaults, as well as collective protest and demonstrations). We combined reports for 1995–99 to match the WVS data most closely. Despite the differing methodologies and only partially overlapping time frames, this comparison illustrates the basic validity of the cross-national patterns in the World Values Survey. There is a 0.51 correlation between national levels of protest for the five-item WVS index and the World Handbook data. We thank J. Craig Jenkins for access to these data. More extensive comparisons of the WVS and World Handbook measures are found in Dalton, and van Sickle, , ‘The Resource, Structural, and Cultural Bases of Protest’Google Scholar.

40 Inglehart, , Culture Shift in Advanced Industrial SocietyGoogle Scholar, chap. 9; Inglehart, and Welzel, , Modernization, Cultural Change and DemocracyGoogle Scholar, chap. 9; Norris, , Democratic Phoenix, chap. 10Google Scholar.

41 Some analysts have questioned including petitions in the protest index. Signing petitions is a basic democratic right and part of conventional democratic politics. In addition, the use of petitions may be related to literacy rates in a nation and thus spuriously influence protest levels. To explore these points we constructed a protest index with only the four other protest items and excluded petitions. The aggregate national scores on the four-item and five-item protest scales are correlated at 0.87 across these nations. In other analyses we show that the five-item and four-item indices yield comparable results in aggregate cross-national models: see Dalton, and van Sickle, , ‘The Resource, Structural, and Cultural Bases of Protest’Google Scholar. We also replicated the basic individual level model, and they yielded comparable results for variables such as education that would tap the effect of literacy. Therefore, we relied on the five-item measure as a broader indicator of contentious actions based on these correlations and the factor analyses in fn. 38.

42 See, for example, Gurr, Ted Robert and Duvall, Robert, ‘Civil Conflict in the 1960s’, Comparative Political Studies, 6 (1973), 135170CrossRefGoogle Scholar; Londregen, John and Poole, Keith, ‘Poverty, the Coup Trap, and the Seizure of Executive Power’, World Politics, 42 (1990), 151183CrossRefGoogle Scholar.

43 See the extensive aggregate level analyses in Dalton, and van Sickle, , ‘The Resource, Structural, and Cultural Bases of Protest’Google Scholar.

44 We removed Luxembourg from the figure because it is an outlier in terms of income level (GDP/capita was $47,740) and it is atypical because of its small size and large international population. Even with Luxembourg included, there is a 0.76 correlation.

45 See the Appendix for more information on this variable.

46 The correlation with the Freedom House scale is r = 0.62. Freedom House scores combine the seven-point scales for political and civil liberties in the year of the World Values Survey. This scale was reversed, so high values represent high levels of democracy. For additional discussion of these aggregate relationships, see Dalton, and van Sickle, , ‘The Resource, Structural, and Cultural Bases of Protest’Google Scholar. Several measures of ‘political openness’ display similar patterns. Protest is positively correlated with the World Bank’s ‘Voice and Accountability’ measure (r = 0.73) and the ‘Control of Corruption’ measure (r = 0.76). Repression, as measured by the Political Terror Scale, is negatively correlated with protest. In countries where there is a high level of repression, protest is less common (see Gibney, M., Cornett, L. and Wood, R., Political Terror Scale 1976–2006 (forthcoming, see http://www.politicalterrorscale.org)Google Scholar). Gibney uses two measures: the correlation of protest with the Amnesty International reports is −0.54; with the US State Department records, the correlation is −0.60. Regime durability is another way to gauge political openness. Under stable or consolidated regimes, citizens are more likely to understand how to utilize and exert influence through established institutional channels. The Polity measure of regime durability is positively correlated with protest (r = 0.64).

47 For example, for the pooled cross-national sample, the correlations between protest and life satisfaction (0.08) is stronger than for happiness (0.05). For additional analyses, see van Sickle, Alix and Dalton, Russell J., ‘The Roots of Political Protest: A Contextual Analysis of Protest Behavior’ (paper presented at the annual meetings of the International Studies Association, Honolulu, 2005)Google Scholar; Dalton, and van Sickle, , ‘The Resource, Structural, and Cultural Bases of Protest’Google Scholar.

48 We use confidence in parliament as a measure of political trust or satisfaction based on previous analyses of trust in government using the WVS. See Klingemann, Hans-Dieter, ‘Mapping Political Support in the 1990s’, in Pippa Norris, ed., Critical Citizens (Oxford: Oxford University Press, 1999)Google Scholar. In addition, this item is available for nearly all of the nations in Table 1, while other WVS questions on satisfaction with government or confidence in government are missing from over thirty of these nations.

49 We also fitted a standard and an over-dispersed Poisson hierarchical model as a check whether a count model was preferable to the linear HLM model. The standard Poisson performed best, most accurately predicting the distribution of the actual data and not underestimating the number of zeros. However, the Poisson model was less robust in dealing with the multiple interaction terms in our models; estimation would have required dropping some of these interactions, even if they appeared statistically significant in the linear HLM model and other analyses. Following diagnostic tests, reliability estimates of the random coefficients’ variation across countries, and consideration of the substantive estimated effects of the interactions, we decided to use the linear HLM model. The standard Poisson model is available from the authors on request. We estimated the models using HLM 6.06. See Raudenbush, Stephen and Bryk, Anthony S., Hierarchical Linear Models: Applications and Data Analysis Methods (Thousand Oaks, Calif.: Sage, 2002)Google Scholar; Steenbergen, Marco and Bradford, S., ‘Modeling Multilevel Data Structures’, American Journal of Political Science, 46 (2002), 218237CrossRefGoogle Scholar.

50 We created a group activity scale to measure an individual’s level of involvement in civil society as the number of organizations to which they belong. The WVS asks the following question: Please look carefully at the list of voluntary organizations and activities and say which, if any, do you belong to? Church or religious organization; social welfare for the elderly, handicapped or deprived organization; sport or recreational organization; art, music, or educational organization; labour union; political party; environmental organization; human rights organization; local community action on issues like poverty, employment, or housing; professional organization; youth group; health organization; other group.

51 For example, see Inglehart, , Culture Shift in Advanced Industrial SocietyGoogle Scholar, chap. 9; Norris, , Democratic Phoenix, chap. 10Google Scholar.

52 It is a standardized continuous variable with a theoretical mean of zero that in our dataset runs from −1.25 (Zimbabwe) to 2.08 (Switzerland).

53 These countries are: Armenia, Brazil, Columbia, Dominican Republic, El Salvador, Georgia, Indonesia, Israel, Jordan, South Korea, New Zealand, Nigeria, Norway, Pakistan, Switzerland, Egypt and Great Britain. Because HLM uses list-wise deletion, including this variable in the model means all data are lost for the respondents from the seventeen countries.

54 Some of the persuasive evidence comes from Norris et al., which demonstrates that even protesters in post-industrial societies do not express significantly higher levels of dissatisfaction (see Norris, , Walgrave, and van Aelst, , ‘Does Protest Signify Disaffection?’Google Scholar). In addition, grievances had little influence in models of protest activity even in very poor African nations; see Bratton, , Mattes, and Gyimah-Boadi, , Public Opinion, Democracy, and Market Reform in AfricaGoogle Scholar.