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Volumn 23, Issue 5, 2011, Pages 752-779

Do religious factors impact armed conflict? Empirical evidence from Sub-Saharan Africa

Author keywords

Armed conflict; Mobilization; Religion; Sub saharan Africa

Indexed keywords


EID: 84858779667     PISSN: 09546553     EISSN: 15561836     Source Type: Journal    
DOI: 10.1080/09546553.2011.619240     Document Type: Article
Times cited : (67)

References (120)
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    • We define "armed conflict" according to the definition by UCDP=PRIO. Such a conflict is a contested incompatibility that has created at least 25 battle-related deaths (see Table A1).
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    • As religious armed conflict we conceptualize all such conflicts in which either the conflict parties significantly differ by their religious affiliation (e.g., in Côte d'Ivoire between Muslims and Christians) or in which the warring factions have an incompatibility regarding religious ideas such as the role of religion in the state. The latter regularly includes religious extremism
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    • Eritrea became an independent state in 1993 (before: 47 states).
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    • Usually, these are new conflicts. However, we also count new episodes of armed conflicts as onset if the conflict remained under 25 battle deaths for at least one year.
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    • Note
    • Following the suggestion made by Hegre and Sambanis, ongoing conflict years are coded as 0s instead of dropping them from the sample, as multiple conflicts happening in the same country are not uncommon
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    • We have recalculated the values for all sub-Saharan countries on the basis of data provided by the World Christian Database
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    • Please note that this kind of parallel identity differs from differences in religious identities between the conflict parties. Here, we deal with overlaps of religious and ethnic=social identities in society, but not with overlaps of religious identities and the support base=members of the conflict parties.
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    • The coding is based on data on the inter-religious structure provided by the World Christian Database. Due to the fact that the share of African Traditionalists (ATR) does not exceed 50.5% in any country, no variable on ATR dominance is coded (see also Table A2 in the Annex).
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    • In total, we coded six "combined variables": polarization75 & discrimination, polarization75 & tensions, dominance & discrimination, dominance & tensions, overlap & discrimination, overlap & tensions. Polarization75 is a dichotomous variable indicating whether a state is considered religiously polarized or not. It equals "1" if the country's religious polarization value exceeds the sample's 75th percentile. An overview of all the variables employed in this study is given in Table A1 of the Annex. Table A2 reports descriptive statistics.
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    • Although oil exports are frequently mentioned as a robust correlate of civil war, we do not employ it as a control for three reasons. First, we had to limit the number of controls. Second, according to the sensitivity analysis by Hegre and Sambanis, oil does not belong to the highly robust correlates of civil war
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    • Finally, our own pre-testing did not find oil to be robustly connected to civil war in Africa.
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    • Likelihood Ratio Tests of the reported specification against several different nested models revealed that the applied full models have a proper specification. In addition, a stepwise inclusion of all independent variables as well as the variance inflated factor (VIF) indicated that the reported findings are unlikely to be driven by multi-collinearity.
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    • In addition to the logit estimations, "rare-event logit models" as suggested by King and Zeng were equally performed for all models presented in this paper. The authors show that when binary dependent variables measure the occurrence of "rare events," standard logit or probit estimations may produce biased coefficients
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    • 84858769713 scopus 로고    scopus 로고
    • Note
    • Interestingly, the overlap of religion and social stratum (religious-social overlap) does not produce significant results.
  • 108
    • 39749085115 scopus 로고    scopus 로고
    • Polarization, fractionalization and conflict
    • Joan Esteban and Debraj Ray, "Polarization, Fractionalization and Conflict," Journal of Peace Research 45, no. 2 (2008): 163-182.
    • (2008) Journal of Peace Research , vol.45 , Issue.2 , pp. 163-182
    • Esteban, J.1    Ray, D.2
  • 109
  • 112
    • 2942546923 scopus 로고    scopus 로고
    • Greed and grievance in civil war
    • Paul Collier and Anke Hoeffler, "Greed and Grievance in Civil War," Oxford Economic Papers 56, no. 4 (2004): 563-595.
    • (2004) Oxford Economic Papers , vol.56 , Issue.4 , pp. 563-595
    • Collier, P.1    Hoeffler, A.2
  • 113
    • 84858774147 scopus 로고    scopus 로고
    • Note
    • Further variables on the religious structure such as change of (religious) demography, the inter-religious structure (islam, christ, atr), and overlap of religious and regional boundaries (religious-regional overlap, religious-social overlap)-not reported here due to space constraints- were considered by our estimations.
  • 114
    • 84858756413 scopus 로고    scopus 로고
    • Note
    • The majority does not reach statistical significance. Noteworthy exceptions are parallel religious and regional boundaries increasing the risk of religious conflict (significant at the 10% level). ATR percentage share show negative and significant results as well and, expressed in odds ratio, reduce the risk of armed conflict and religious armed conflict by 5% and 6%, respectively.
  • 115
    • 84858769711 scopus 로고    scopus 로고
    • Note
    • We further tested the effect of religious discrimination against minority religions (minority discrimination), and escalation by religious actors and=or institutions (religious calls for violence). None of them reached statistical significance.
  • 116
    • 84858769716 scopus 로고    scopus 로고
    • Note
    • We further tested the combined effects of several structural variables (such as fractionalization and demographic change) with other politicized variables (such as discrimination, tensions, and calls for violence). None of them reached statistical significance and are not reported due to space constraints.
  • 117
    • 84858756415 scopus 로고    scopus 로고
    • Note
    • We should also keep in mind that the explained variance of the models is relatively low with Pseudo R2's often remaining below 0.1.
  • 118
    • 84858774153 scopus 로고    scopus 로고
    • Note
    • For religious conflict onset (2), an armed conflict with religious incompatibility, the following variables proved significant: religious-ethnic overlap (positive, 5% level), demographic change (negative, 10%), tensions (positive, 1%), religious calls for violence (positive, 5%). Positive significant results were also returned for the following combinations (all at the 5% level): tensions & religious-ethnic overlap, tensions & polarization, polarization & discrimination, polarization & religious calls for violence.
  • 119
    • 84858769718 scopus 로고    scopus 로고
    • Note
    • For religious conflict onset (2), an armed conflict with religious incompatibility, the following variables proved significant: religious-ethnic overlap (positive, 5% level), demographic change (negative, 10%), tensions (positive, 1%), religious calls for violence (positive, 5%). Positive significant results were also returned for the following combinations (all at the 5% level): tensions & religious-ethnic overlap, tensions & polarization, polarization & discrimination, polarization & religious calls for violence.
  • 120
    • 84858786295 scopus 로고    scopus 로고
    • Identity polarization and conflict: State building in côte d'ivoire and Ghana
    • Gaillac, June
    • Ragnhild Nordås, Identity Polarization and Conflict: State building in Côte d'Ivoire and Ghana, Paper prepared for the Conference Polarization and Conflict, Gaillac 7-9 June 2007.
    • (2007) Paper Prepared for the Conference Polarization and Conflict , pp. 7-9
    • Nordås, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.