Abstract
This article examines the influence of religion on voter choice homogeneity (VCH) in the Nigerian presidential elections of the fourth republic (1999–2015). The result indicates that in the first two elections, religion did not have a significant impact on VCH but had increasing influence from 2011. Thus, compared with the 1999 and 2003 elections, the effect of faith in 2011 and 2015 elections was positive, but the impact of religion was highest in 2015, having a significant and robust effect on VCH. Thus, the paper demonstrates that impact of faith in the presidential elections in the fourth republic has strengthened over time. This finding is, however, put in the context of each election regarding the role of candidates’ popularity, party-identification, ethnicity, candidates’ performance, the number of candidates contesting the election and the position of prominent leaders of the different regions of the country. The paper demonstrates that placing the influence of religion on vote choice in the context of each election and place-specific manifestation of VCH is pertinent in understanding better how religion shapes voting behaviour in Nigeria.
1 Introduction
Political sociologists have identified socio-cultural factors such as ethnicity and religion as essential determinants of political outcomes. While the influence of these factors has diminished in most Western democracies, studies demonstrate that they are still influential in African states (Melson 1971; Horowitz 1985; Chandra 2005; Posner 2005) albeit these studies focused mainly on ethnicity. Thus, research on Africa elections have focused on the influence of ethnicity on voters’ choices (e.g. Peele and Morse 1974; Bratton et al. 2012; Ishiyama 2012; Elischer 2013) only a few studies have yet examined the effect of religion on voters’ choices (e.g. Takyi et al. 2010). This current study examines the influence of religious diversity on party system fragmentation in the Nigerian presidential elections from 1999 to 2015.
The reason for this focus on the effect of religion on voters’ choices is because specifically in Nigeria, electoral studies literature has focused on the electoral processes (Omotola 2007; Omodia 2009; Adeoti and Olaniyan 2014), electoral malpractices such as vote buying, violence and rigging (Bratton 2008; Collier and Vicente 2014; Angerbrandt 2018; Nwankwo 2018). Other studies focus on the history of electoral politics in Nigeria (Agbaje and Adejumobi 2006), electoral participation and voter turnout (Omotola and Aiyedogbon 2012); Nwankwo and Okafor 2017; Lawal 2019), voter apathy (e.g. Taiwo and Ahmed 2015; Nwankwo et al. 2017). Besides, studies have analysed the voting patterns by looking at which party electorates voted for and the probable factors that shape voters’ choices (e.g. Ihonvbere 1999; Araba and Braimah 2015; Olasile and Adebayo 2016).
Like most media stories and pundits’ commentaries, these studies emphasise the influence of religion and ethnicity on voters’ choices. However, the current body of research on the influence of ethnicity and religion do not use statistical techniques to analyse the extent to which ethnic and religious diverty influences voters’ choices in Nigeria. Moreover, too few studies of African elections have examined the impact of religion on party systems. Thus, this study corrects this deficiency by analysing the effect of religious diversity on party system fragmentation in Nigeria. While it will be interesting to examine the impact of ethnic identity on voting patterns in Nigeria, the lack of data on the population distribution of ethnic groups across the states and local level hinders such research enterprise. Thus, the paper will analyse the effect of religious diversity on homogeneous voting in Nigeria.
The paper demonstrates that effect of religion in the presidential elections in the fourth republic has strengthened over time. In the first two elections, religion did not have a significant impact on VCH but had growing influence from 2011. Compared with the 1999 and 2003 elections, the importance of faith in 2011 and 2015 votes were positive, but the impact of religion in 2015 was robust and significant. This finding is, however, put in the context of each election regarding the role of candidates’ popularity and performance, party-identification, ethnicity, the number of candidates contesting the election and the position of prominent leaders of the different regions of the country. Further, the paper demonstrates that placing the influence of religion on vote choice in the context of each election and place-specific manifestation of VCH is pertinent in understanding better how religion shapes voting behaviour in Nigeria. The paper is organised as follows; this section has provided the background of the article; the next section discusses the theoretical knowledge. The third section discusses the data and methods used while the fourth presents the results. The discussion is contained in the fifth section while the last part gives the conclusion of the paper.
2 Theoretical Background
There are many theories of voting such as the party-identification models, rational choice models and dominant-ideology models – however, this paper test one of the factors of the sociological model of voting (SMV)–religion in Nigeria because it has been argued that religion shapes political outcomes in the country. Despite the criticism that SMV ignores individuals’ self-interest and class dealignment which are essential for understanding voting behaviour in developed societies (Andersen and Heath 2002), it is relevant in the emerging democracies in Africa such as Nigeria. The SMV links voting behaviour to group membership indicating that voters tend to adopt a voting pattern that mirrors the social and economic position of the group (regions, religious or ethnic) to which they belong (Heywood 2007). Thus, SMV highlights the significance of social alignment which reflects the many tensions and divisions within society (Heywood 2007).
Among the divisions, the most significant are ethnicity, religion, region, class and gender (Marsh and Cunningham 2017). In the African context, more emphasis has been paid to ethnic voting and more broadly political participation only a few studies have yet focused on religion. Thus, this study focuses on the effect of religion on vote choice, but socio-economic variables are also considered because Bratton et al. (2012) demonstrate that African electorates also consider policy performance regarding their perception of the government’s treatment of income distribution, unemployment and inflation.
Scholars have consistently argued that politics in Nigeria manifest along the paths of ethnicity and religious identity (e.g. Joseph 2014; Adegbami and Uche 2015). Earlier studies in the US and Europe emphasis that religion shape voting patterns although the idea that party system reflects class system (Heath et al. 2016) has dominated the literature in recent times. Nevertheless, new studies have argued that religion can still have some effects on vote choice (Kotler-Berkowitz 2001). For example, Raymond (2011) deployed path analysis to compare the current electorates of the US, Great Britain and Germany with the early 1960s and establishes that the religious-secular cleavage remains or has become a significant predictor of conservative vote choice. Raymond (2011: p. 125) argues that whereas the influence of the “religious-secular cleavage on vote choice has become mostly indirect, the total of the direct and indirect effects is substantial and equivalent to the effects of class and status.”
In Africa, much of the literature suggesting the manifestation of the tenets of the SMV have focused on the effect of ethnicity on political processes and outcomes (e.g. Peele and Morse 1974; Bratton et al. 2012; Ishiyama 2012; Elischer 2013) only a few studies have specifically examined the role of religious identity (e.g. Takyi et al. 2010). In a book that explores the effects of ethnicity on party politics in Sub-Saharan Africa with emphasis on Ghana, Kenya, and Namibia and an initial examination of parties in seven other countries, including Botswana, Tanzania, Zambia, Senegal, Malawi, Burkina Faso, and Benin, Sebastian Elischer identified five party types: the ethnic alliance, the mono-ethnic, the catch-all, the personalistic party and the programmatic (Elischer 2013). Sebastian deployed these party types to demonstrate that the African political scene is significantly more varied than orthodoxly supposed and that while nonethnic parties have become the norm in some countries, ethnic parties dominate in others (Elischer 2013). Nonetheless, a correlation between the salience of political ethnicity and a country’s racial makeup exist such that countries with a core ethnic group are likely to form nonethnic parties whereas ethnic parties are the norm in countries lacking a core ethnic group. Elischer (2013) has provided a background of the effect of ethnicity on party formation and party politics, but more critical aspect of ethnic influences on Africa’s electoral politics concerns voting patterns.
Peele and Morse (1974) demonstrated that ethnicity was the primary determinant of the party vote in South Africa with the English-speaking voter supporting the United Party while Afrikaners are voting for the National Party. Socio-economic status (SES)-related variables only explained party preferences so long as they covary with ethnicity. Even though the study found that an increase in SES was associated with the liberalisation of political attitudes, it has no bearing on vote choice as voters identified with their ethnic group especially White South Africans. In a study that tries to explain bloc voting among ethnic groups in Africa, Ishiyama (2012) tests two hypotheses concerning the elucidation of why some ethnic groups express voting preferences as a bloc and express voting preferences as a bloc for the governing party or the opposition. The paper indicates that the geographic concentration of the ethnic groups significantly explicated general bloc voting. Regarding the support for or against the governing party, the extent to which a group is marginalised and politically mobilised clarifies bloc voting against the ruling party. The degree of political dominance of the ruling party explains bloc voting for it.
These findings suggest that voting as a bloc for most ethnic groups is explained by the prospects for patronage by a party, except marginalised groups that are politically mobilised. Based on aggregate and survey data Bratton et al. (2012) provide a comprehensive account of voting intentions in 16 Africa’s new electoral democracies and demonstrate that Africans engage in both economic and ethnic voting in competitive elections. Like the finding of Ishiyama (2012), Bratton et al. (2012) argue that individuals who belong to the ethnic group in power tend to support the governing party, but the reverse is the case for people who have a feeling that their cultural group is marginalised. Nevertheless, potential voters significantly consider policy performance, especially the perceived government’s treatment of income distribution, unemployment and inflation. This finding of Bratton et al. (2012) informs the inclusion of socio-economic variables in the model to see the effect of religious identity on vote choice taken into account socio-economic factors.
Takyi et al. (2010) examine the correlation between religion and voting patterns in Ghana’s 2004 elections and argue that religion is a powerful identifiable force in the Ghanaians’ lives, and it affects the electoral process. Takyi et al. (2010) demonstrate that Ghanaian Muslims supported the National Democratic Congress (NDC) while Christians, especially the Protestant groups preferred the New Patriotic Party (NPP). Ghana and Nigeria share religious similarities: both have a mix of Christians, Muslims and Traditionalists but more importantly, the findings of Takyi et al. (2010) inform us that perhaps in a country of Muslims and Christian, the vote choice of people professing the two religions may differ significantly. Although this paper focuses on the effect of religious identity on voting, the finding of Takyi et al. (2010), Ishiyama (2012) and Bratton et al. (2012) provide a basis to perhaps investigate whether the people of the same religion will have similar vote choice in Nigeria. Thus, the analysis in this paper focuses on examining if religious identity has a more significant effect on voter choice homogeneity than other socio-economic factors in Nigeria as Bratton et al. (2012) have indicated that socio-economic variables also affect vote choice of individuals.
3 Methodology
3.1 Data
In Nigeria, regional patterns of voting can easily be discerned, metropolitan and local patterns will be challenging to analyse due to the scarcity of data at these levels. Most studies in Nigeria have used the state-level data which is readily available. Thus, the analysis done in this study is at the state level not municipal or local level. The data consist of votes received by political parties in the presidential elections of 1999, 2003, 2011 and 2015. Data on 2007 election is mostly unavailable at the state level, and the 2007 election was widely replete with irregularities hence the reason it has been omitted (Adebayo and Omotola 2007). The data were collected from official results released by the Independent National Electoral Commission (INEC)–the electoral umpire. Data on socio-economic variables were obtained from the Annual Abstract of Statistics (National Bureau of Statistic NBS 2008, 2012, 2016). Due to socio-economic data limitations, the analysis is run at the state level. One might wonder about the pertinence of a study of voters’ choice homogeneity at this level of analysis (the population of Nigerian states being between 1.5 and 10 million). While the electoral data are available at a much more detailed level of study (at least for some of the ballots) that would offer the possibility of measuring the intra-state degree of VCH, it was difficult to access the data at the local level from the electoral commission. The major impediment of running the analysis at the local levels is the fact that the data on the explanatory variables are not available at the local level.
Up to data official data on Nigeria’s religious characteristics is not available hence the account of Ostien (2012) of University of Oxford was used. It is pertinent to note that the religious composition of the states dates to censuses in 1952 and 1963 (in Ostien’s paper). These data are the best data available. From the data, we can observe the diversity of the religious mixes in 1952 and 1963, as between Christians, Muslims and Others, both within the regions and between the regions. Also, the data show two missionary religions, Christianity and Islam were both trying to win converts from the Traditionalists, and both were succeeding, to different extents in different places. Thus, there is nearly even decrease in the percentages of “Others” from 1952 to 1963, across all regions and states except in Kano and Katsina where there were slight increases. Nevertheless, the Traditionalists were still holding their own in many places in 1963 and as Sampson (2014) indicates traditional religion still has a fair number of followers. The challenge is how to know whether and where the Traditionalists still exist in substantial amounts today.
An Afrobarometer map (Figure 1 ) that shows the result of a survey of the Muslim population in Nigeria perhaps provides a clue of the distribution of Muslims in Nigeria. As in Figure 1, Sampson (2014) notes that the states in North West and North Eastern Nigeria where Sharia practice is legal to have a majority Muslim population. These states are Borno, Bauchi, Gombe, Jigawa, Katsina, Niger, Kaduna, Kano, Kebbi, Sokoto, Yobe and Zamfara, except Taraba State that has an almost equal distribution of Christians and Muslims. The Muslim-Christian share of Adamawa population is contestable as both religions thrive. Figure 1 shows that there are about 60–79% Muslims in Adamawa but the fact that Sharia is illegal there is an indication that Christianity is a significant religion because most of the tribes who rejected Islam converted to Christianity. The states in the Middle Belt plus the Federal Capital Territory are religiously mixed except Benue and Kwara. In Benue, Christians dominate, followed by Traditionalists (Sampson 2014) and in Kwara, Muslims dominate (see Figure 1). According to Sampson (2014), the South-West zone is religiously mixed, and this is evident in Figure 1. Based on this comparison, we can say that the 1963 data to some extent is still reliable especially for states in Northern Nigeria and the Old Western Region except Delta and Edo States where Christianity and Islam have gained some grounds, respectively. Thus, for all the states in Northern Nigeria and the Western Region, the 1963 data and Figure 1 are compared to make a judgement of the likely distribution of the religion.

Percentage distribution of the Muslim population in Nigeria.
Data Source: Afrobarometer Survey (2012).
For example, Figure 1 shows that Sokoto, Kebbi, Zamfara, Katsina, Jigawa, Kano and Gombe States have between 80% and 100% Muslim population based on a 2012 survey. By comparison, these states (except Gombe [75%]) have a similar distribution of Muslim population in 1963 as indicated in Table 1 that shows the distribution of religions in all the states in 1952, 1963 and likely present. So, we use the 1963 data for these states and update the Muslim population of Gombe State as 80% and update the Christian population based on the percentage change in Christianity share from 1952 to 1963 thereby reducing the share of traditional religion. Also, as an example, Sampson (2014) notes that Edo State now has an almost equal percentage of Christians and Muslims, but Figure 1 shows that Edo State has no more than 19% of its population as Muslim, but it was only 7.4% in 1963 from 7.1% in 1952. So, it is hard to confidently say Edo State has an almost equal share of the Muslim and Christian population, hence, its Muslim population is pegged at 19%. This sort of calculation was done for the Northern Region and Western Region because the 1963 data almost matches Figure 1.
Percentage Distribution of Religions in Nigeria by States.
States | 1952 |
1963 |
Likely present |
||||||
---|---|---|---|---|---|---|---|---|---|
Muslims | Christians | Others | Muslims | Christians | Others | Muslims | Christians | Others | |
Abia | 0.2 | 70.9 | 28.9 | 0.1 | 91.3 | 8.6 | 0.1 | 91.3 | 8.6 |
Adamawa | 32.9 | 3.8 | 63.3 | 34.6 | 16.0 | 49.4 | 50 | 40 | 10 |
Akwa Ibom | 0.1 | 77.7 | 22.2 | 0.0 | 95.8 | 4.2 | 0 | 95.8 | 4.2 |
Anambra | 1.2 | 36.9 | 62.0 | 0.7 | 72.6 | 26.8 | 0.7 | 72.6 | 26.8 |
Bauchi | 76.3 | 1.1 | 22.6 | 83.4 | 1.6 | 14.9 | 83.4 | 14.9 | 1.6 |
Bayelsa | 0.1 | 45.3 | 54.5 | 0.0 | 79.2 | 20.8 | 10 | 79.2 | 10.8 |
Benue | 2.8 | 7.1 | 90.1 | 2.8 | 53.4 | 43.8 | 2.8 | 53.4 | 43.8 |
Borno | 80.9 | 0.6 | 18.5 | 88.3 | 2.7 | 8.9 | 88.3 | 2.7 | 8.9 |
Cross River | 0.3 | 47.9 | 51.8 | 0.3 | 75.1 | 24.6 | 3 | 82 | 15 |
Delta | 1.1 | 21.1 | 77.8 | 0.6 | 51.2 | 48.3 | 0.7 | 81.3 | 18 |
Ebonyi | 0.1 | 8.2 | 91.7 | 0.3 | 30.3 | 69.4 | 0.7 | 74.5 | 24.8 |
Edo | 7.1 | 24.5 | 68.3 | 7.4 | 58.2 | 34.4 | 19 | 58.2 | 22.8 |
Ekiti | 8.2 | 69.3 | 22.5 | 10.6 | 79.0 | 10.4 | 10.6 | 79 | 10.4 |
Enugu | 0.5 | 18.7 | 80.8 | 0.5 | 47.9 | 51.6 | 0.5 | 77.1 | 22.4 |
FCT-Abuja | 49 | 34 | 17 | 49 | 34 | 17 | 49 | 40 | 10 |
Gombe | 70.1 | 2.5 | 27.4 | 75.0 | 6.2 | 18.8 | 80 | 15 | 5 |
Imo | 0.1 | 56.7 | 43.2 | 0.0 | 85.0 | 15.0 | 0.1 | 95 | 4.9 |
Jigawa | 98.4 | 0.4 | 1.3 | 98.0 | 0.8 | 1.2 | 98 | 0.8 | 1.2 |
Kaduna | 57.3 | 10.2 | 32.5 | 55.7 | 25.1 | 19.2 | 55.7 | 40 | 4.3 |
Kano | 97.8 | 0.5 | 1.7 | 97.0 | 1.1 | 1.8 | 97 | 1.1 | 1.5 |
Katsina | 95.2 | 0.3 | 4.5 | 94.6 | 0.4 | 5.1 | 94.6 | 0.7 | 5.1 |
Kebbi | 79.0 | 0.3 | 20.7 | 85.5 | 0.5 | 14.0 | 92 | 7 | 1 |
Kogi | 22.5 | 18.5 | 59.1 | 37.5 | 28.2 | 34.2 | 52.5 | 37.9 | 9.6 |
Kwara | 63.4 | 6.5 | 30.1 | 75.6 | 13.6 | 10.8 | 75.6 | 20.7 | 3.7 |
Lagos | 48.3 | 44.3 | 7.4 | 56.0 | 40.7 | 3.3 | 56 | 40.7 | 3.3 |
Nassarawa | 23.4 | 7.8 | 68.8 | 30.2 | 13.8 | 56.0 | 57.4 | 37.8 | 4.8 |
Niger | 46.8 | 3.5 | 49.7 | 62.4 | 4.0 | 33.6 | 62.4 | 33.6 | 4 |
Ogun | 47.5 | 35.2 | 17.4 | 53.0 | 37.9 | 9.1 | 58.5 | 40.6 | 0.9 |
Ondo | 12.7 | 66.7 | 20.6 | 14.2 | 78.2 | 7.6 | 14.2 | 78.2 | 7.6 |
Osun | 48.3 | 38.2 | 13.5 | 52.7 | 42.2 | 5.1 | 52.7 | 42.2 | 5.1 |
Oyo | 50.4 | 26.7 | 22.9 | 58.3 | 30.5 | 11.2 | 58.3 | 34.3 | 7.4 |
Plateau | 25.5 | 11.4 | 63.1 | 26.1 | 23.2 | 50.7 | 28.5 | 58.6 | 12.9 |
Rivers | 0.4 | 65.6 | 34.0 | 0.3 | 90.4 | 9.3 | 0.3 | 90.4 | 9.3 |
Sokoto | 96.3 | 0.5 | 3.2 | 98.9 | 0.4 | 0.7 | 98.9 | 0.4 | 0.7 |
Taraba | 19.0 | 2.0 | 78.0 | 26.2 | 13.7 | 60.0 | 40.6 | 48.8 | 10.6 |
Yobe | 87.3 | 0.5 | 12.2 | 94.8 | 1.0 | 4.2 | 94.8 | 3 | 2.2 |
Zamfara | 96.3 | 0.5 | 3.2 | 98.9 | 0.4 | 0.7 | 98.9 | 0.4 | 0.7 |
Source: Adapted from Ostien (2012: p. 3–4).
However, it is essential to recognise that the 1963 data is not entirely reliable in the case of the Old Eastern Region because of a significant decline in traditional religions and the growth of Christianity. Controlling for these changes is a bit problematic as the subsequent censuses after 1963 did not collect data on ethnicity and religious make-up of the population. To bring the data up to date to a reasonable extent, we use the decadal percentage change in the Christian population in each state in the Old Eastern Region to a point where it is reasonably in tandem with Figure 1. For example, Enugu had 18.7% Christians in 1952, 0.5% Muslims. In 1963, it had 47.9% Christians representing a 29.2% increase in Christian population while Muslim population remained 0.5%. We assume the rate of conversion from Traditional Religion to Christianity was constant and we take that further by 10 years, we have 77.1% Christians. If it is projected further into the next census year, we have 106.3%. This figure is above 100%. So, we stop at 77.1% since, from Figure 1, Enugu has between 20% and 39% Muslim population. Overall, it is expected that the Christian population in Enugu will not be less than 77.1%. Thus, for Enugu State, we have 77.1% Christians, 20% Muslims (going further than 20% means the total will exceed 100%) and 2.9% other religions. This calculation was done for other states in the Old Eastern Region except for states where traditional religion has dramatically declined, e.g. Abia. The likely religion distribution of the states is provided in Table 1.
3.2 Data Analysis
The level of homogeneity of voters’ choice in each state is considered as the inverted fractionalized Herfindahl index (HI) expressed as (Dalton 2008: p. 903):
where HI represents the level of VCH,
Percentage Distribution of Votes Received by Parties from 1999 to 2015.
States | 1999 |
2003 |
2011 |
2015 |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AD/APP | PDP | ANPP | APGA | PDP | Others | ACN | CPC | PDP | Others | APC | PDP | Others | |
Abia | 32.7 | 67.3 | 11.3 | 34.9 | 51.7 | 2.1 | 0.37 | 0.31 | 98.96 | 0.36 | 3.43 | 94.18 | 2.39 |
Adamawa | 21.1 | 78.9 | 29.8 | 0.2 | 69.1 | 0.9 | 3.61 | 56 | 37.96 | 2.43 | 58.91 | 39.57 | 1.52 |
Akwa-Ibom | 17.3 | 82.7 | 12.6 | 0.1 | 83.9 | 3.4 | 4.39 | 0.43 | 94.58 | 0.6 | 5.74 | 93.73 | 0.53 |
Anambra | 23.9 | 76.1 | 9.2 | 32.4 | 54.1 | 4.3 | 0.3 | 0.36 | 98.96 | 0.38 | 0 | 98.52 | 1.48 |
Bauchi | 21.9 | 78.1 | 62.1 | 0.1 | 36.7 | 1.1 | 1.04 | 81.69 | 16.05 | 1.22 | 91.3 | 8.44 | 0.26 |
Bayelsa | 24.4 | 75.6 | 2.5 | 0 | 96 | 1.5 | 0.07 | 0.14 | 99.63 | 0.16 | 1.42 | 98.4 | 0.18 |
Benue | 21.5 | 78.5 | 40.8 | 0.5 | 54.6 | 4.1 | 21.29 | 10.47 | 66.31 | 1.93 | 54.73 | 44.45 | 0.82 |
Borno | 36.5 | 63.5 | 65 | 0.3 | 34 | 0.7 | 0.64 | 17.58 | 77.25 | 4.53 | 94.35 | 5.11 | 0.54 |
Cross River | 32.2 | 67.8 | 0.9 | 0.2 | 97.9 | 1 | 0.81 | 0.55 | 97.67 | 0.97 | 6.3 | 92.09 | 1.61 |
Delta | 29.4 | 70.6 | 2.4 | 1.3 | 94 | 2.3 | 0.09 | 0.64 | 98.59 | 0.68 | 3.86 | 95.55 | 0.59 |
Ebonyi | 27.4 | 72.6 | 2 | 2.6 | 94.5 | 0.9 | 0.22 | 0.2 | 95.97 | 3.61 | 5.36 | 88.94 | 5.7 |
Edo | 24 | 76 | 9.9 | 0.2 | 88.5 | 1.4 | 8.73 | 2.86 | 87.28 | 1.13 | 41.66 | 57.32 | 1.02 |
Ekiti | 73.2 | 26.8 | 2.3 | 0.4 | 92.4 | 4.9 | 44.67 | 1.03 | 51.56 | 2.74 | 40.02 | 58.69 | 1.29 |
Enugu | 23.4 | 76.6 | 1.7 | 15.7 | 79.7 | 2.9 | 0.22 | 0.46 | 98.54 | 0.78 | 2.47 | 96.48 | 1.05 |
FCT (Abuja) | 40.2 | 59.8 | 38 | 8.6 | 49.9 | 3.5 | 0.58 | 33.05 | 63.66 | 2.71 | 47.72 | 51.24 | 1.04 |
Gombe | 36.9 | 63.1 | 52.9 | 0.2 | 46.3 | 0.6 | 0.44 | 59.73 | 37.71 | 2.12 | 78.43 | 21.03 | 0.54 |
Imo | 42.7 | 57.3 | 5.3 | 27.7 | 64.6 | 2.4 | 1.05 | 0.54 | 97.98 | 0.43 | 18.96 | 79.55 | 1.49 |
Jigawa | 43.2 | 56.8 | 80.4 | 0.2 | 18.4 | 1 | 1.52 | 58.21 | 36.75 | 3.52 | 85.39 | 13.77 | 0.84 |
Kaduna | 22.7 | 77.3 | 45.4 | 0.4 | 53.4 | 0.8 | 0.44 | 51.92 | 46.31 | 1.33 | 69.72 | 29.93 | 0.35 |
Kano | 24.6 | 75.4 | 74.9 | 0.5 | 22.7 | 1.9 | 1.58 | 60.77 | 16.48 | 21.17 | 89.44 | 10.14 | 0.42 |
Katsina | 19.2 | 80.8 | 76.2 | 0.2 | 23 | 0.6 | 26.13 | 70.99 | 0.67 | 2.21 | 92.83 | 6.83 | 0.34 |
Kebbi | 33.6 | 66.4 | 65 | 0.5 | 33.4 | 1.1 | 54.26 | 39.95 | 2.83 | 2.96 | 83.88 | 14.91 | 1.21 |
Kogi | 48.4 | 51.6 | 36.4 | 0.3 | 61.2 | 2.1 | 1.16 | 23.53 | 71.17 | 4.14 | 62.86 | 35.6 | 1.54 |
Kwara | 28.7 | 71.3 | 29.6 | 0.4 | 68 | 2 | 12.64 | 20.16 | 64.68 | 2.52 | 68.66 | 30.13 | 1.21 |
Lagos | 88.1 | 11.9 | 7.1 | 8.3 | 69.3 | 15.3 | 21.96 | 9.77 | 65.9 | 2.37 | 54.89 | 43.8 | 1.31 |
Nassarawa | 29 | 71 | 33.5 | 0.2 | 64.6 | 1.7 | 0.17 | 40.08 | 58.89 | 0.86 | 46.3 | 53.46 | 0.24 |
Niger | 16.2 | 83.8 | 39.7 | 1.2 | 49.5 | 9.6 | 1.31 | 64.03 | 31.54 | 3.12 | 80.83 | 18.34 | 0.83 |
Ogun | 69.8 | 30.2 | 0.1 | 0 | 99.9 | 0 | 36.7 | 3.25 | 56.86 | 3.19 | 57.82 | 39 | 3.18 |
Ondo | 85 | 15 | 3.6 | 0.5 | 94.6 | 1.3 | 15.25 | 2.44 | 79.57 | 2.74 | 53.45 | 44.8 | 1.75 |
Osun | 76.5 | 23.5 | 2.3 | 0.2 | 95.2 | 2.3 | 58.46 | 1.36 | 36.75 | 3.43 | 59.69 | 38.89 | 1.42 |
Oyo | 75.3 | 24.7 | 2.8 | 0.5 | 93.9 | 2.8 | 29.21 | 10.7 | 56.14 | 3.95 | 59.98 | 34.42 | 5.6 |
Plateau | 25.8 | 74.2 | 30.9 | 0.6 | 67.3 | 1.2 | 0.72 | 25.27 | 72.98 | 1.03 | 43.68 | 55.95 | 0.37 |
Rivers | 13.6 | 86.4 | 2 | 0.3 | 92.7 | 5 | 0.88 | 0.71 | 98.04 | 0.37 | 4.42 | 94.99 | 0.59 |
Sokoto | 56.1 | 43.9 | 73.3 | 0.7 | 25 | 1 | 2.21 | 59.44 | 33.97 | 4.38 | 80.54 | 18.24 | 1.22 |
Taraba | 9.3 | 90.7 | 21.9 | 0.1 | 76.6 | 1.4 | 2.41 | 34.91 | 61.06 | 1.62 | 45.08 | 53.62 | 1.3 |
Yobe | 53 | 47 | 64 | 0.6 | 34.5 | 0.9 | 0.98 | 54.26 | 18.83 | 25.93 | 94.19 | 5.39 | 0.42 |
Zamfara | 64.1 | 35.9 | 80 | 0.4 | 19 | 0.6 | 1.91 | 66.25 | 25.35 | 6.49 | 80.44 | 19.03 | 0.53 |
Multivariate regression analysis was done with the VCH as the dependent variable and the socio-economic variables, religious homogeneity as independent variables (explanatory variables) to determine if each variable explains VCH taking into account the other variables. Religious diversity is generally measured as the probability that two randomly chosen individuals are not of the same religion. Hence a Herfindahl-type fractionalization index seems to be a more robust measure of it. It is expected that the higher the religious diversity index, the less religiously heterogenous a state is, i.e. the more religiously homogeneous the state and the more similar the voter choice in that state and vice versa. See Table 3 for the result of the calculation of the religious homogeneity index (RHI).
Homogeneity in Vote Choice in Nigerian Presidential Elections (%).
States | VCH_1999 | VCH_2003 | VCH_2011 | VCH_2015 | RHI |
---|---|---|---|---|---|
Abia | 0.56 | 0.4 | 0.98 | 0.89 | 0.841 |
Adamawa | 0.67 | 0.57 | 0.46 | 0.5 | 0.42 |
Akwa-Ibom | 0.71 | 0.72 | 0.9 | 0.88 | 0.92 |
Anambra | 0.64 | 0.41 | 0.98 | 0.97 | 0.599 |
Bauchi | 0.66 | 0.52 | 0.69 | 0.84 | 0.718 |
Bayelsa | 0.63 | 0.92 | 0.99 | 0.97 | 0.649 |
Benue | 0.66 | 0.47 | 0.5 | 0.5 | 0.478 |
Borno | 0.54 | 0.54 | 0.63 | 0.89 | 0.788 |
Cross River | 0.56 | 0.96 | 0.95 | 0.85 | 0.696 |
Delta | 0.58 | 0.88 | 0.97 | 0.91 | 0.693 |
Ebonyi | 0.6 | 0.89 | 0.92 | 0.8 | 0.617 |
Edo | 0.64 | 0.79 | 0.77 | 0.5 | 0.427 |
Ekiti | 0.61 | 0.86 | 0.47 | 0.5 | 0.646 |
Enugu | 0.64 | 0.66 | 0.97 | 0.93 | 0.645 |
FCT-Abuja | 0.52 | 0.4 | 0.52 | 0.49 | 0.41 |
Gombe | 0.53 | 0.49 | 0.5 | 0.66 | 0.665 |
Imo | 0.51 | 0.5 | 0.96 | 0.67 | 0.905 |
Jigawa | 0.51 | 0.68 | 0.48 | 0.75 | 0.961 |
Kaduna | 0.65 | 0.49 | 0.48 | 0.58 | 0.472 |
Kano | 0.63 | 0.61 | 0.44 | 0.81 | 0.941 |
Katsina | 0.69 | 0.63 | 0.57 | 0.87 | 0.898 |
Kebbi | 0.55 | 0.53 | 0.46 | 0.73 | 0.851 |
Kogi | 0.5 | 0.51 | 0.56 | 0.52 | 0.428 |
Kwara | 0.59 | 0.55 | 0.48 | 0.56 | 0.616 |
Lagos | 0.79 | 0.52 | 0.49 | 0.49 | 0.48 |
Nassarawa | 0.59 | 0.53 | 0.51 | 0.5 | 0.475 |
Niger | 0.73 | 0.41 | 0.51 | 0.69 | 0.504 |
Ogun | 0.58 | 1 | 0.46 | 0.49 | 0.507 |
Ondo | 0.75 | 0.9 | 0.66 | 0.49 | 0.637 |
Osun | 0.64 | 0.91 | 0.48 | 0.51 | 0.458 |
Oyo | 0.63 | 0.88 | 0.41 | 0.48 | 0.463 |
Plateau | 0.62 | 0.55 | 0.6 | 0.5 | 0.441 |
Rivers | 0.76 | 0.86 | 0.96 | 0.9 | 0.826 |
Sokoto | 0.51 | 0.6 | 0.47 | 0.68 | 0.978 |
Taraba | 0.83 | 0.63 | 0.5 | 0.49 | 0.414 |
Yobe | 0.5 | 0.53 | 0.4 | 0.89 | 0.9 |
Zamfara | 0.54 | 0.68 | 0.51 | 0.68 | 0.978 |
4 Results
4.1 The 1999 Election
As the regression estimates in Table 4 shows, there is a low negative and insignificant (at 95% confidence level) relationship between religion and voter choice homogeneity implying that as religious homogeneity increases, VCH decreases. A unit increase in religious uniformity leads to 0.126 decreases in VCH. If religious identity were a determinant of voter choice in the 1999 election, the coefficient would have been positive and strong. Unemployment has no significant relationship with VCH while absolute poverty shows a very weak negative association with VCH. A unit increase in absolute poverty is associated with 0.002 decreases in VCH in 1999 election, respectively. This result indicates that neither religion or socio-economic variables significantly predicted vote choice in the 1999 election. Some explanations can be made in respect of this result. First, the fact that the two candidates, Olu Falae of the coalition of the Alliance for Democracy (AD) and All People’s Party (APP), and Obasanjo of the People’s Democratic Party (PDP) are both Christians and Yoruba meant that religion is not a significant determinant of vote choice. Nonetheless, the Southwest states, i.e. the Yoruba region including Ekiti, Ondo, Osun, Oyo, Ogun and Lagos voted massively for AD/APP as shown in Table 2.
Regression Estimates of the Influence Explanatory Variables on VHC.
n=37 | Variables | Unstandardized coefficients | Std. error | Sig. |
---|---|---|---|---|
1999 | Constant | 0.741 | 0.052 | 0.000 |
Unemployment | 0.000 | 0.003 | 0.889 | |
Absolute poverty | −0.002 | 0.001 | 0.110 | |
Religion | −0.126 | 0.070 | 0.081 | |
2003 | Constant | 0.759 | 0.115 | 0.000 |
Unemployment | −0.003 | 0.003 | 0.350 | |
Absolute poverty | −0.003 | 0.003 | 0.314 | |
Religion | −0.036 | 0.175 | 0.837 | |
2011 | Constant | 0.588 | 0.130 | 0.000 |
Unemployment | 0.001 | 0.004 | 0.751 | |
Absolute poverty | −0.012 | 0.005 | 0.030 | |
Religion | 0.300 | 0.181 | 0.107 | |
2015 | Constant | 0.314 | 0.087 | 0.001 |
Unemployment | −0.002 | 0.002 | 0.387 | |
Absolute poverty | −0.003 | 0.003 | 0.321 | |
Religion | 0.675 | 0.136 | 0.000 |
Secondly, is the fact that the PDP had a national appeal. The PDP’s widespread appeal is a function of the support it gets from many prominent politicians and military generals and power brokers from different regions of the country (Ihonvbere 1999). It is also argued that the Muslim dominated states in northern Nigeria were left with no choice than to choose between two Christians. However, the fact that they voted more for the PDP supports that argument that Muslims in the north considered Obasanjo as a friend of the north who will protect if not augment their interest (Ihonvbere 1999). Note that despite being a northern party, the APP did not receive substantial support in the north (see Table 2) except in Zamfara where it got 64.1%, Yobe (53%) and Sokoto (56.1%). Thus, the religious affiliation of the parties might not have been a major deciding factor of vote choice. One crucial element for this might be the membership of the prominent leaders of the north who are Muslims such as the Vice-Presidential candidate, Alhaji Atiku Abubakar, late Shehu Yar’Adua and other military generals in the military regimes.
4.2 The 2003 Election
The analysis of 2003 presidential election does not show a positive relationship between religious identity, the socio-economic variables and VCH. A unit increase in RHI, unemployment and absolute poverty is associated with a 0.036, 0.003 and 0.003 decrease in VCH, respectively. Compared with the 1999 election where the two candidates were Christians, the All Nigerian People’s Party (ANPP) had a Muslim as the candidate of the person of General Muhammadu Buhari, a former military dictator who was Head of State from 1983 to 1985. The ANPP is an offshoot of the defunct APP, so it has its base in the northern region. Therefore, the presidential contest was a faceoff between the incumbent Obasanjo of the PDP, a Christian and Buhari of ANPP, a Muslim. Before the election, Buhari has been a core advocate of spreading the Sharia principle across Nigeria and thus enjoys substantial support from the Muslims in northern Nigeria.
Indeed, compared with 1999 election, the 2003 election result (Table 2) shows that ANPP received a good share of the total votes in the North West and some parts of North East including Bauchi (62.1%), Gombe (52.9%), Jigawa (80.4%), Kano (74.9%), Katsina (76.2%), Kebbi (65%), Zamfara (80%), Yobe (64%), Sokoto (73.3%). Nevertheless, the regression result indicates that the relationship between religion and vote choice is very low and negative. Thus, even though it could be argued that religious identity was a determinant of vote choice in Northern Nigeria, it offers an unsatisfactory explanation in a general term. A significant reason for this is that the South West and the Middle Belt states which have a mix of both Christians and Muslims who voted for Obasanjo of the PDP meant that the RHI could not correlate positively with VCH.
The implication of the results so far is that although religion has some part to play it cannot alone provide an excellent explanation of vote choice in Nigeria. Some other factors might be considered here such as the popularity of the candidates and ethnicity although the influence of ethnicity on vote choice is not new in the literature. Regarding the popularity of the candidates, we could argue that the rise in the 2003 vote share of the ANPP in the north compared with the AD/APP alliance of 1999 is because Buhari is popular in northern Nigeria as a former governor and head of state. Whereas, Olu Falae was mostly known in the South West where he got his most substantial support in 1999. Another interpretation of this shift can be attributed to ethnicity because Falae who is Yoruba got massive support from the Yoruba States while Buhari who is Fulani got enormous support from the Hausa-Fulani States. This explanation is not new and adds nothing significant to the analysis.
Regardless of the ethnicity of the candidates, party-identification might be a significant predictor of vote choice. For example, even though some voters in Igbo dominated South East States voted for All Progressive Grand Alliance (APGA) such as in Abia (34.9%), Anambra (32.4%), Imo (27.7%) and Enugu (15.7%). The vast majority voted for the PDP whose candidate is Yoruba not least the South-South states where many minority ethnic groups exist despite the formation of APGA by the former leader of the defunct Biafran Republic, Odimegwu Ojukwu. Biafra was a secessionist state whose territory covers the old Eastern Region (presently, the South East and South-South geopolitical zones) attempted to break away from Nigeria leading to brutal war from 1967 to 1970.
Also, in 1999, the South West States voted for AD/APP particularly because they preferred a party, they considered their own, i.e. the AD than PDP. In 2003, the AD did not field a candidate for the presidential seat which perhaps switch the determinant of vote choice from party-identification to ethnicity which meant that the PDP’s candidate who is Yoruba was preferred to Buhari of ANPP. Historically, the leaders of the former Action Group and National Council of Nigeria and the Cameroons (NCNC) which have their strongholds in the Western Region and old Eastern Region were among the founders of the AD and PDP, respectively. Thus, as we shall see more clearly in the 2015 election, party-identification can be a good explanation of vote choice in Nigeria, but how party-identification can shape vote choice might not be entirely straightforward, it can correlate with religion, ethnicity, and the membership or non-membership of prominent political elites and leaders.
4.3 The 2011 Election
Goodluck Jonathan was the Vice President to the late President Musa Yar’dua who was declared the winner of the 2007 election. The death of Yar’dua in 2010 meant that Jonathan was sworn in as President and subsequently won the PDP primary election. The emergence of Jonathan as the PDP candidate in the 2011 election meant that Buhari will face yet another Christian from the south. Consequently, when the result of the elections is mapped as Figure 2 shows, party support became polarised in a north-south dimension with a large support for Jonathan’s PDP in the south and Buhari’s Congress for Progressive Change (CPC) in the north. Compared with previous elections, the regression coefficient shows a weak positive relationship between religion and VCH. A unit increase in religious identity is associated with 0.300 increase in VCH but not significant at 95% confidence level. Buhari left the ANPP to establish the CPC after disagreements with party members in the ANPP.

States where parties won in the presidential elections.
Putting religion aside, for now, the tremendous support of the CPC in the 2011 election compared with the ANPP support in the 2003 election shows that Buhari’s popularity in northern Nigeria was a factor as earlier argued given that the CPC was newly formed just before the election. This argument can be substantiated by the fact that the Action Congress of Nigeria (ACN) which was a new party with its base in the South West did not receive the most substantial support of voters there not least the AD which has been known as the party of the region instead, the PDP did. This result puts party-identification argument earlier noted in question because if it were the case that party-identification is a strong determinant of vote choice, the South West would have voted the AD or ACN. However, we might consider that Jonathan was considered a closer candidate than Ribadu because he is from the south.
The ACN was a faction of the AD led by former Governor of Lagos State, Bola Tinubu. Nuhu Ribadu was the candidate of the ACN. Ribadu was a former Chief of the anti-graft agency, Economic and Financial Crimes Commission (EFCC) who became famous for having spearheaded the fight against corruption at the EFCC (Lewis 2011). The ACN, however, only managed to win two states namely Kebbi and Osun. The reason is perhaps that Jonathan’s reputation at that time was still considered an asset; having worked as a lecturer, many people thought his education would bring the much-needed good governance as opposed to Buhari who has a military background (Lewis 2011). Besides, Jonathan received massive support from the south-south and southeastern states because it is the first time someone from the region will have the opportunity to be president since the end of the civil war in 1970. So, massive support was needed to ensure victory. Nevertheless, there is no denying that religion did play a role in voters’ choices, but the influence it had was weak and insignificant.
4.4 The 2015 Election
Once again, the 2015 election was a contest between Buhari and Jonathan. This time, Buhari had more support compared with previous elections due to the merger of CPC, ACN and factions ANPP and APGA in 2013 to form the party of the All Progressives Congress (APC). As Table 4 shows, there is a significant and robust positive relationship between religion and VCH. The socio-economic variables show a weak negative association with VCH. A unit increase in religious identity is associated with 0.675 increase in VCH at 95% confidence level. Thus, at first glance, we can say that religion played a significant role in voter choice in the 2015 election more than any other factor compared with other polls. However, it is essential to put this in the context in which religion became a significant determinant of vote choice given that the two major candidates for the 2011 and 2015 election were the same. While Jonathan won in 2011, Buhari won in 2015. So, what are the reasons for this change?
One of the narratives put forward by the media and academics is that the refusal of Jonathan to step aside for a northern Muslim to become president after the death of Yar’Adua jettisoned the power-sharing arrangement between Muslims and Christians. Another argument is that the support Jonathan received declined due to his poor performance as issues of corruption and insecurity trailed his administration amid the growing popularity of Buhari as a man of integrity who can stem the tides of corruption and insecurity in the country. Also, it is argued that the merger of opposition parties into APC made the APC stronger to challenge the PDP.
If we put the narratives in the context of the result in Table 4, we might conclude that the refusal of Jonathan to step aside for a northern Muslim to become president after the death of Yar’Adua was entirely the case. However, I would assume other explanations for the significance of religion in 2015. One is that the south-west and north-central states are more religiously heterogeneous and thus may have sub-state level homogeneity. On the other hand, if religious voting would cause the voter homogeneity, we could also have assumed more homogeneous voting in the northern states in 2003 when Buhari was associated with support of the Shari’a agenda. In all, if the significance of religion in the 2015 VCH was due to “the attempt to go off track of the unofficial but acknowledged power-sharing arrangement” the effect would have been there already in 2011. Thus, we can argue that the merging of opposition parties to APC made VCH more likely as previous split votes now were combined.
Nevertheless, the mere merger of opposition parties may not directly translate to vote choice homogeneity. Placing this in the context of the preceding analysis is essential to have a better comprehension of the 2015 election. One important intermediate factor for this might be the decamping of many prominent leaders of the north and Southwest, e.g. former Vice President Atiku Abubakar, the Speaker of the House of Representatives, Aminu Tambuwal among others from the PDP to APC not least the resignation of membership of the PDP by the former President, Olusegun Obasanjo. So, the mass movement of leaders of the north and southwest perhaps sent a strong message to their people thereby shaping their vote choice.
5 Discussion
Based on the result of the analysis of the impact of religion on VCH in the Nigerian presidential elections of the fourth republic we can argue that religion has a meager and negative effect on VCH of the 1999 and 2003 elections. The influence of religion in 2011 and 2015 elections were positive, but the impact of religion was weak and insignificant in 2011 while in 2015, it had a significant and robust effect on VCH. I have argued in the section above that if the significance of religion in the 2015 VCH was due to “the attempt to go off track of the unofficial but acknowledged power-sharing arrangement” the effect would have been there already in 2011. In this regard, if we consider 2015 election only, we might want to think along the argument of Ishiyama (2012) and Bratton et al. (2012) that individuals who belong to the cultural group in power tend to support the governing party, but the reverse is the case for people who perceive that their cultural group is marginalised.
As evident in the 2015 election, the north and southwest groups did not support Jonathan in 2015 compared with 2011, and there were such insinuation that the northern and Southwest regions were marginalised by the Jonathan administration. Much of this insinuation could not be substantiated with facts, however. The first implication of the findings is that the influence of religion on electoral behaviour in Nigeria is dynamic and can have different effects in different elections. Importantly, the fact that the south-west and north-central states are more religiously heterogeneous and thus may show sub-state level homogeneity of the vote means that at the national level, the effect of religion is not significant until 2015 when other factors came into play.
This study finds no support for the influence of socio-economic variables such as unemployment that Bratton et al. (2012) argue shape African electorate’s vote choice. Bratton et al. (2012) contend that potential African voters significantly consider policy performance, especially the perceived government’s treatment of income distribution, unemployment and inflation. The socio-economic indicators examined show negative effect on VCH and were insignificant throughout the elections which highlight perhaps why religion is such a significant factor in the public discourse of the elements of voting in Nigeria. However, the implication of policy performance regarding candidates’ performance was apparent in the case of the 2015 election in which the handling of issues of corruption and insecurity were topical in the campaigns.
Thus, placing the effect of religion on vote choice in the context of each election is pertinent in understanding how it shapes voting behaviour in Nigeria. The various background regarding the analysis so far is the role of candidates’ popularity and performance, party-identification, ethnicity, candidates’ performance and the position of prominent leaders of the different regions of the country. Thus, Raymond (2011: p. 125) argument that the influence of the ‘religious-secular cleavage on vote choice in Europe and the US have become mostly indirect’ is in tandem with this finding. Party-identification can be a good explanation of vote choice in Nigeria, but how party-identification can shape vote choice might not be entirely straightforward, it can correlate with religion, ethnicity, and the membership or non-membership of prominent political elites and leaders. This perhaps shows why religion has not been given much consideration compared with the effect of ethnicity in the analysis of voting behaviour in African elections. That is not to say no studies are making such argument that religion affects voting behaviour in the Nigerian case, but there is little rigorous statistical evidence for such claims.
In comparison with previous studies in Africa, this study finds some reasons to support the findings of Takyi et al. (2010) which analysed the correlation between religion and voting patterns in Ghana’s 2004 elections and argue that religion significantly affects the voting behaviour. Takyi et al. (2010) demonstrate that Ghanaian Muslims supported the National Democratic Congress (NDC) while Christians, especially the Protestant groups preferred the New Patriotic Party (NPP). Nevertheless, the significant influence of religion on vote choice in Nigeria only manifest in the 2015 election but in the context of parties’ merger, the influence of political leaders and party identification. Putting the analysis in context is vital because some parts of Nigeria, e.g. south-west and north-central states are more religiously heterogeneous and thus may show sub-state level homogeneity of vote meaning that at the national level, the effect of religion may not be readily apparent. Therefore, investigating the impact of VCH at the local level is pertinent. Ishiyama (2012) have demonstrated that the geographic concentration of the ethnic groups significantly explicated general bloc voting in Africa. Thus, given that investigating VCH at the local can inform place-specific context of the religious voting, examining the geography of religious voting can be a productive research enterprise in Nigeria.
Additionally, other reflections need to be made here. The first, concerns the overall conclusion on the effect of religion on VCH. I would caution that it is not the insinuation of the paper that effect of faith on the party system is negligent or non-existent. While the analysis suggests that the relationship between religious homogeneity and vote concentration is weak, this does not mean that the effect of religion is nil. Indeed, a quick inspection of the correlations between Christianity and support for the PDP shows that the association is strongly positive (Christians tend to vote for the PDP) and that this relationship strengthens over time; the relationships between the percentage of Muslims and support for several different parties’ candidates are similarly strong.
Secondly, on the fact religion has a significant effect on the vote shares of certain parties, yet the correlation between religious homogeneity and vote concentration is tenuous. Thus, since the fact the expected positive relationship does emerge over time suggests that the election-specific properties identified (notably, the differences in which/how many candidates run) suggests the weak relationships seen in early elections may have something to do with a learning process in elections: while parties and voters have difficulty identifying one another in the first few elections after democratic transitions, over time, the expected relationships between social groups and support for political parties emerge as parties begin to take more explicit stances on essential issues and voters come to identifying which parties are viable representatives of their interests (see, e.g. Evans and Whitefield 2006; Moser and Scheiner 2012; Raymond et al. 2016). It would seem Nigeria may fit this pattern as well.
6 Conclusion
In conclusion, this article has examined the effect of religion on homogeneous voting in the Nigerian presidential elections of the fourth republic. The result indicates that in the first two elections, religion did not have a significant impact on VCH but had increasing influence from 2011. Thus, compared with the 1999 and 2003 elections, the impact of religion in 2011 and 2015 polls were positive, but the role of religion was most influential in 2015, having a significant and robust impact on VCH. Thus, the paper demonstrates that effect of faith in the presidential elections in the fourth republic has strengthened over time. This finding is put in the context of each ballot to understand better how religion shapes voting behaviour in Nigeria. The various background regarding the analysis is the role of candidates’ popularity, party-identification, ethnicity, candidates’ performance, the number of candidates contesting the election and the position of prominent leaders of the different regions of the country.
Party-identification can be a good explanation of vote choice in Nigeria, but how party-identification can shape vote choice might not be entirely straightforward, it can correlate with religion, ethnicity, and the membership or non-membership of prominent political elites and leaders. The paper also demonstrates that given that some states in Nigeria, e.g. south-west and north-central states are more religiously heterogeneous and thus may show sub-state level homogeneity of vote meaning that at the national level, the effect of religion may not be readily apparent. Therefore, it is pertinent to investigate the impact of VCH at the local level which can inform place-specific context of the religious voting explaining the geography of faith-based voting.
References
Adebayo, P. F. and J. S. Omotola (2007) “Public Perceptions of the 2007 Nigerian General Elections,” Journal of African Elections, 6(2):201–219.10.20940/JAE/2007/v6i2a11Search in Google Scholar
Adegbami, A. and C. I. Uche (2015) “Ethnicity and Ethnic Politics: An Impediment to Political Development in Nigeria,” Public Administration Research, 4(1):59.10.5539/par.v4n1p59Search in Google Scholar
Adeoti, E. O. and S. B. Olaniyan (2014) “Democratization and Electoral Process in Nigeria: A Historical Analysis,” International Journal of Multidisciplinary Approach, 1(1):1–13.Search in Google Scholar
Afrobarometer (2012) Distribution of Muslim population in Nigeria. Available from https://www.pinterest.com/pin/704672672914857200/. Accessed 7 November 2018.Search in Google Scholar
Agbaje, A. and S. Adejumobi (2006) “Do Votes Count? The Travails of Electoral Politics in Nigeria,” Africa Development, 31(3):25–44.Search in Google Scholar
Andersen, R. and A. Heath (2002) “Class Matters: The Persisting Effects of Contextual Social Class on Individual Voting in Britain, 1964–1997,” European Sociological Review, 18(2):125–138.10.1093/esr/18.2.125Search in Google Scholar
Angerbrandt, H. (2018) “Deadly Elections: Post-Election Violence in Nigeria,” The Journal of Modern African Studies, 56(1):143–167.10.1017/S0022278X17000490Search in Google Scholar
Araba, A. A. and J. O. Braimah (2015) “Comparative Study of 2011 and 2015 Presidential Elections in Nigeria,” Global Journal of Human-Social Science Research, 15(7):48–54.Search in Google Scholar
Bratton, M. (2008) “Vote Buying and Violence in Nigerian Election Campaigns,” Electoral Studies, 27(4):621–632.10.1016/j.electstud.2008.04.013Search in Google Scholar
Bratton, M., R. Bhavnani and T. H. Chen (2012) “Voting Intentions in Africa: Ethnic, Economic or Partisan?” Commonwealth and Comparative Politics, 50(1):27–52.10.1080/14662043.2012.642121Search in Google Scholar
Chandra, K. (2005) “Ethnic Parties and Democratic Stability.” Perspectives on Politics 3(2):235–252.10.1017/S1537592705050188Search in Google Scholar
Collier, P. and P. C. Vicente (2014) “Votes and Violence: Evidence from a Field Experiment in Nigeria,” The Economic Journal, 124(574):F327–F355.10.1111/ecoj.12109Search in Google Scholar
Dalton, R. J. (2008) “The Quantity and the Quality of Party Systems: Party System Polarization, its Measurement, and its Consequences,” Comparative Political Studies, 41(7):899–920.10.1177/0010414008315860Search in Google Scholar
Elischer, S. (2013) Political Parties in Africa: Ethnicity and Party Formation. Cambridge: Cambridge University Press.10.1017/CBO9781139519755Search in Google Scholar
Evans, G. and S. Whitefield (2006) “Explaining the Emergence and Persistence of Class Voting for Presidential Candidates in Post-Soviet Russia, 1993–2001,” Political Research Quarterly, 59(1):23–34.10.1177/106591290605900103Search in Google Scholar
Heath, A., R. Jowell, J. Curtice, G. Evans, J. Field and S. Witherspoon (2016) Understanding Political Change: The British Voter 1964–1987. Oxford: Pergamon Press.Search in Google Scholar
Heywood, A. (2007) Politics, 3rd ed. Basingstoke: Palgrave Macmillan.Search in Google Scholar
Horowitz, D. (1985) Ethnic Groups in Conflict. Berkeley, California: University of California Press.Search in Google Scholar
Ihonvbere, J. O. (1999) “The 1999 Presidential Elections in Nigeria: The Unresolved Issues,” African Issues, 27(1):59–62.Search in Google Scholar
Ishiyama, J. (2012) “Explaining Ethnic Bloc Voting in Africa,” Democratization, 19(4):761–788.10.1080/13510347.2011.623354Search in Google Scholar
Joseph, R. A. (2014) Democracy and Prebendal Politics in Nigeria, Volume 56. Cambridge: Cambridge University Press.Search in Google Scholar
Kotler-Berkowitz, L. A. (2001) “Religion and Voting Behaviour in Great Britain: A Reassessment,” British Journal of Political Science, 31(3):523–554.10.1017/S0007123401000205Search in Google Scholar
Lawal, O. (2019) “Geographical Pattern and Structure of the 2011 and 2015 Nigeria Presidential Election,” African Geographical Review, 38(1):1–18.10.1080/19376812.2017.1284007Search in Google Scholar
Lewis, P. M. (2011) “Nigeria Votes: More Openness, More Conflict,” Journal of Democracy, 22(4):60–74.10.1353/jod.2011.0058Search in Google Scholar
Marsh, M. and K. Cunningham (2017) “Voting Behaviour.” In Politics in the Republic of Ireland. London: Routledge, pp. 157–183.Search in Google Scholar
Melson, R. (1971) “Ideology and Inconsistency: The ‘Cross-Pressured’ Nigerian Worker,” American Political Science Review, 65(1):161–171.10.2307/1955051Search in Google Scholar
Moser, R. G. and E. Scheiner. (2012) Electoral Systems and Political Context: How the Effects of Rules Vary Across New and Established Democracies. Cambridge: Cambridge University Press.10.1017/CBO9781139178945Search in Google Scholar
National Bureau of Statistic NBS (2008) Annual Abstract of Statistics. Abuja: Federal Republic of Nigeria.Search in Google Scholar
National Bureau of Statistic NBS (2012) Annual Abstract of Statistics. Abuja: Federal Republic of Nigeria.Search in Google Scholar
National Bureau of Statistic NBS (2016) Annual Abstract of Statistics, Volume 1. Abuja: Federal Republic of Nigeria.Search in Google Scholar
Nwankwo, C. F. (2018) “Vote Buying in the 2018 Governorship Election in Ekiti State, Nigeria,” Open Political Science, 1(1):93–97.10.1515/openps-2018-0005Search in Google Scholar
Nwankwo, C. F. and U. P. Okafor (2017) “Voting in Nigeria: Determinants of Turnout in the 2015 Presidential Election,” Statistics, Politics and Policy, 8(2):249–260.10.1515/spp-2017-0010Search in Google Scholar
Nwankwo, C. F., U. P. Okafor and G. C. Asuoha (2017) “Principle Component Analysis of Factors Determining Voter Abstention in South Eastern Nigeria,” Journal of Pan African Studies, 10(3):249–273.Search in Google Scholar
Olasile, R. S. and A. Adebayo (2016) “The Strength of Ethnicity in Voting Behaviour in the 2015 Presidential Elections in Nigeria: The Case of Ibadan, Oyo State,” International Journal of Fundamental Psychology and Social Sciences, 6:1–9.10.14331/ijfpss.2016.330057Search in Google Scholar
Omodia, S. M. (2009) “Elections and Democratic Survival in the Fourth Republic of Nigeria,” Journal of Pan African Studies, 3(3):35–42.Search in Google Scholar
Omotola, J. S. (2007) “Godfathers and the 2007 Nigerian General Elections,” Journal of African Elections, 6(2):134–154.10.20940/JAE/2007/v6i2a8Search in Google Scholar
Omotola, J. S. and G. Aiyedogbon (2012) “Political Participation and Voter Turnout in Nigeria’s 2011 Elections,” Journal of African Elections, 11(1):54–73.10.20940/JAE/2012/v11i1a4Search in Google Scholar
Ostien, P. (2012) Percentages by Religion of the 1952 and 1963 Populations of Nigeria’s Present 36 States. Background Paper 1. Oxford: Nigeria Research Network (NRN), Oxford Department of International Development.Search in Google Scholar
Peele, S. and S. J. Morse (1974) “Ethnic Voting and Political Change in South Africa,” American Political Science Review, 68(4):1520–1541.10.2307/1959939Search in Google Scholar
Posner, D. N. (2005) Institutions and Ethnic Politics in Africa. Cambridge: Cambridge University Press.10.1017/CBO9780511808661Search in Google Scholar
Raymond, C. (2011) “The Continued Salience of Religious Voting in the United States, Germany, and Great Britain,” Electoral Studies, 30(1):125–135.10.1016/j.electstud.2010.10.001Search in Google Scholar
Raymond, C. D., M. Huelshoff and M. R. Rosenblum (2016) “Electoral Systems, Ethnic Cleavages and Experience with Democracy,” International Political Science Review, 37(4):550–566.10.1177/0192512115596368Search in Google Scholar
Sampson, I. T. (2014) “Religion and the Nigerian State: Situating the de facto and de jure Frontiers of State–Religion Relations and its Implications for National Security,” Oxford Journal of Law and Religion, 3(2):311–339.10.1093/ojlr/rwt026Search in Google Scholar
Taiwo, O. J. and F. Ahmed (2015) “Geographical Analysis of Voter Apathy in Presidential Elections Between 1999 and 2011 in Nigeria,” African Geographical Review, 34(3):250–268.10.1080/19376812.2015.1009381Search in Google Scholar
Takyi, B. K., C. Opoku-Agyeman and A. Kutin-Mensah (2010) Religion and the Public Sphere: Religious Involvement and Voting Patterns in Ghana’s 2004 Elections. Africa Today, 56(4):62–86.10.2979/aft.2010.56.4.62Search in Google Scholar
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