Religious Demography of Emerging Economies

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Religious Demography of Emerging Economies Age structures and fertility in the BRIC countries and the global religious consequences of their economic growth M. Stonawski 1, V. Skirbekk 2, M. Potančoková 3, C. Hackett 4 and B. Grim 5 In spite of the generally large interest in demography of religious communities and the relation between population dynamics and various aspects of socio-economic life (for example economic development and social inequalities), there has until now not been any attempt to collect and estimate religious composition by age and sex as well as differences in fertility for all countries in the world. This kind of data could add another perspective in the studies on future interactions between religion and other spheres of life. The aim of this paper is to present current and future religious compositions and fertility differentials by religion in the BRIC countries (Brazil, Russia, India and China), and possible implications of demographic change on division of wealth between religious communities in the world. A detailed account of the religious demography of the world by age and sex has for the first time been documented in an ongoing joint project of Age and Cohort Change Project at International Institute for Applied System Analysis (IIASA) and the Forum on Religion & Public Life at Pew Research Center. These data form some of the basis for the present work. Several studies emphasize the relation between religion and economic performance, both on the individual as well as the aggregated level. In M. Weber s classic sociological text The Protestant Ethic and the Spirit of Capitalism it is argued that religion can affect economic outcomes, i.e., that work ethics deriving from Protestantism raises workers productive performance and increases economic growth. Although many have since studied whether religion actually affects economic productivity, the impact of economic levels on the global importance of different religions has so far received relatively little academic attention. Also the demographic dynamics of religious communities have not been focused on in this context. 1, 2 ) International Institute for Applied System Analysis (IIASA), Age and Cohort Change Project, Laxenburg, Austria 3 ) Vienna Institute of Demography (VID), Vienna, Austria 4, 5 ) Pew Research Center, Forum on Religion & Public Life at Pew Research Center, Washington 1

The BRIC countries are currently undergoing rapid from low to high importance in terms of economic development (for example measured by overall and per capita gross domestic product per capita). Their wealth is scheduled to increase in the coming decades. It is likely that that these economic changes will also translate into greater global political, cultural and possibly religious influence of these nations. We discuss how the religious demography of these nations differs from the rest of the world and how the growth of these nations will change the relatively economic influence of different religions in the entire world. The religious composition of these countries differ from most developed countries such as Western Europe, Canada, United States, Australia and New Zealand (which are dominated by Protestant and Catholic religions), South Korea and Japan (which are mainly Buddhist and Catholic). We also note how, for Europe, the rapid growth in Eastern-European countries implies an accompanying importance of their religious demography. Figure 1 reveals the religious composition of BRIC countries. There are only 13.6% Christians and 6.8% Muslims, while the share of Unaffiliated is 29.3%, and the most common affiliation among the BRIC countries are Hindus, which constitute 32.9% of those with an affiliation. Figure 1. Religious composition of BRIC countries Source: PEW-IIASA estimates. 2

In the paper we investigate current differences in religious composition by age and sex in BRIC countries. For example, figure 2 presents population structure for India in 2001. Hindus have 80.5% share in population, Muslims - 13.5%, Christians 2.3% and Other religious groups represent 3.7% of population. Figure 2. Population structure by age, sex and religion in India in 2001 Source: PEW-IIASA estimations based on data from Indian Census 2001. More detailed analysis reveals significant differences in population structures between religious communities. In figures 3 a), b) and c) we add an additional dimension which is very important in creation of wealth - education. Education attainment is a crucial element of human capital which stimulates economic growth (e.g. Becker 1993, Barro and Lee 2001, Mankiw et al. 1992; Lutz et al. 2008). Among Hindus 60.9% of people have below primary education (low). 31% of Hindus have achieved primary or secondary education (medium), and only about 8% have tertiary education (high). Whereas, low-educated constitute around 69.5% of Muslims. People with medium education have 26.5% and high-educated 4% share. Christians are better educated than other groups. Among them 13.6% have achieved tertiary education and 46.6% belong to below primary education group. 3

Figure 3. Population by age, sex and education among religious groups a) Hindu b) Muslim c) Christians Source: PEW-IIASA estimations based on data from Indian Census 2001. We observe significant differences in fertility between religious groups. Total fertility rate for Hindu population equals to 2.88, Muslims - 3.77, Christians - 2.7 and Others -2.47 in the period 2005-2010. The low-educated in all religious groups have the highest fertility. For example, Muslim females who have not finished primary school have on average 4.5 children, whereas these with above secondary education could give around 2.3 births according to our estimates (see figure 4). Figure 4. Total fertility rates by religion and education in India in 2005-2010 Source: PEW-IIASA estimations based on data from DLHS 2007-8, NFHS 2005-6. 4

In the paper we present results of population projections using several scenarios of possible future changes in fertility, migration and education achievements. For example, if fertility of all religious groups converges to the levels of Hindu population and there is rapid education development 6 (scenario FcEr), the share of Hindu population decreases from 80.5% to 78.7%, whereas Muslims increases from 13.4% to 16.1% in the period 2001-2051 (figure 5). Christians lose 0.4 percentage points from 2.3% to 1.9%. Demographic dynamics together with education development change population structure of India from expanding into stationary type (figure 6). Figure 5. Religious composition in India in 2001-2051 according to scenario FcEr with fertility convergence and rapid education development Source: IIASA projections. 6 Scenario FcEr- Steady, linear increase of education to benchmark level of 2% low-educated, 18%-medium and 80% high untill 2030. 5

Figure 6. Population structure by age, sex and religion in India in 2051 - scenario FcEr Source: IIASA projections. Significant changes in population size and age structure of religious communities can affect other spheres of socio-economic life. Using our results of estimations and projections together with macroeconomic data, we discuss possible consequences of presented changes on distribution of income among religious communities. In the abstract we show findings for BRIC countries. We use macro level approach ignoring within-country variation in economic levels for data-availability reasons. In some countries this clearly plays an important role as economic variation between economic groups can differ greatly. However, many countries are completely dominated by one religion and within country-variation in income by religious groups is often smaller than variation between countries. Figure 7 shows the gross domestic product (GDP) per capita in 2009 USD [PPP Converted GDP per capita (Laspeyres index), derived from growth rates at constant prices] by religion for the whole world. We find that there are large differences. Christians generate GDP per capita (2009 values) on the level of 15033 USD, while Muslims have about 5305 USD, Unaffiliated -12682 USD, Buddhists - 6867 USD and Hindus - 3365 USD. The group with the highest GDP per capita is Jewish population which achieves more than 30000 USD. 6

Figure 7. GDP per capita by religion based on national level data 35000 30000 25000 20000 15000 10000 5000 0 Source: PEW-IIASA estimations based on Penn World Tables 7.0. Figure 8 shows the religious distribution weighted by their GDP per capita, i.e., the total distribution of economic power. As can be seen, this implies a very different religious landscape than what the demographic distribution would imply. Christians represent 49.3% of the global GDP, Muslims - 12.3%, Unaffiliated - 22.2%, Buddhists - 6.6% and Hindus have 4.9% share. 7

Figure 8. Global economic influence by religion. Religious population weighted by GDP. 50 45 40 35 30 25 20 15 10 5 0 Source: PEW-IIASA estimations based on Penn World Tables 7.0. Now we turn our attention to the BRIC countries. The rise of the BRIC population would increase the global influence of Unaffiliated and Hindus in particular. In order to evaluate the impact of rapid economic growth and changes in religious composition in these countries, we consider several possible scenarios. For example, we evaluate the impact of doubling of GDP per capita relatively to all other countries in the case where within-country religious composition and relative population size of each country to be constant (see Figure 10). The implication is a marked decrease in both global Christians (which would fall to 43.9%) and in Muslims influence (which would fall to 10.8%), while Unaffiliated would rise to 24.8% and Hindus would increase to 7.4%. 8

Figure 9. Economic distribution of BRIC countries by religion 40 35 30 25 20 15 10 5 0 Source: PEW-IIASA estimations based on Penn World Tables 7.0. Figure 10. Impact of a doubling of BRIC GDP per capita on global distribution of economic power by religion (population size constant) 50 45 40 35 30 25 20 15 10 5 0 Source: PEW-IIASA estimations based on Penn World Tables 7.0. 9

To conclude, we present results of our project on estimations and projections of religious compositions by age and sex for all countries in the world. The PEW-IIASA project is the first in the world attempt to provide detailed and reliable data to researchers who work on the fields associated with religion. Availability of this kind of data is crucial for improving quality of future scientific work. We show our results on the example of BRIC countries which are currently undergoing rapid from low to high importance in terms of economic development. Rise of BRIC countries, both in demographic and economic terms, will change religious economic landscape. An example of India shows possible changes and their consequences for the world in the future. Changing economic conditions may boost the importance of certain religious groups, which will have worldwide changes in the economic influence of each global religion. The economic rise of BRIC countries implies, ceteris paribus, more influence of Hinduism, Orthodox Christianity and the group without religious affiliation. 10

References Becker G.S., (1993). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education (3rd ed.), University of Chicago Press, Chicago. Barro R.J., Lee J.W., (2001), International Data on Educational Attainment: Updates and Implications, Oxford Economic Papers, vol. 53, no. 3, pp. 541 63. Heston A., Summers R., Aten B., (2011), Penn World Table Version 7.0, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania. Lutz W., Crespo Cuaresma J.,Sanderson W., (2008), The Demography of Educational Attainment and Economic Growth, Science, 22 February 2008: Economics, vol. 319, no. 5866 pp. 1047-1048. Mankiw N.G., Romer D., Weil D.N., (1992), A Contribution to the Empirics of Economic Growth, The Quarterly Journal of Economics, vol. 107, pp. 407-437. 11