Assessing the Impact of Religions and Castes on Population Fertility in an EAG District of India
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Abstract
Culture and subculture have given an imprint on social and economic development. Alongside, it has an impact on different aspects of social change and the extent of modernisation in a region. The present study investigates the role of religion and caste in determining the fertility and the causes responsible for religious and caste fertility differential in Sagar district. This district is geographically located in the state of Madhya Pradesh.
To examine the contribution of religion and caste on a change in fertility in temporal scale, both primary and secondary data have been collected and were used for the analysis of the results of this study. The primary data, which was collected through a field survey, were conducted in the study area, and the secondary data were obtained from the Census of India (1981-2011). In order to receive more accurate results, statistical techniques—Multiple Classification Analysis, Logistic Regression Analysis and Decomposition Analysis have been applied. To find out the role of individual socioeconomic characteristics on religious fertility, Multiple classification analysis technique has been used in this study and Logistic regression analysis was applied to probe the likelihood of contraception adoption by the various socioeconomic backgrounds, while, Decomposition analysis has been conducted to probe the religious and caste composition change on temporal scale fertility change.
The findings demonstrate that the Muslim and Scheduled population (Scheduled Castes and Scheduled Tribes) have very high fertility than that of the other segments of society. Moreover, the inclination of fertility transition (from high to low) among other religions (Christians, Sikh and Jain) begins earlier than that of the Hindus, Muslims and Scheduled population. As per the decomposition analysis, the share of Hindu population was more prominent in reducing the fertility which gradually decreased from the decade 1981-91 to 2001-11, while the share of the schedule population and others religions have dramatically decreased during the period. On the other hand, the role of scheduled population and Muslim community has phenomenally increased for changing fertility behaviour. The analysis of the study suggests that education and adequate employment opportunities have reduced the role of religion and caste on fertility in the study area.
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References
Arora, G (1985). Caste socio-economic status and fertility-a study of proximate determinants of fertility in village Riwasa. Guru Nanak Journal of Sociology, 6(2), 81-96.
Arokiasamy, P., (2002). Gender preference, contraceptive use and fertility in India: Regional and development influences. International Journal of Population Geography, 8(1), 49-67.
Balasubramanian, K., (1984). Hindu-Muslim differentials in fertility and population growth in India: role of proximate variable. Artha Vijnana, 26(3), 189-216.
Barooah, M., (2014). Spatial Pattern and Variation in Literacy among the Scheduled Castes Population in the Brahmaputra Valley, Assam. Space and Culture, India, 2(1), 24-32. https://doi.org/10.20896/saci.v2i1.68
Basu, A. M. (2002). Why does education lead to lower fertility? A critical review of some of the possibilities. World Development.30 (10):1779-1790.
Bhagat, R. B. &Praharaj, P. (2005). Hindu-Muslim fertility differentials. Economic and Political Weekly, 411-418.
Bhat, P. N. M. (2002). Returning a favor: Reciprocity between female education and fertility in India.World Development, 30(10), 1791-1803.
Bhattacharyya, Rituparna, (2009). Examining the changing status and role of middle class Assamese women: Lessons from the lives of university students, PhD thesis. Newcastle University, UK.
Bhattacharyya, R., (2013). Are We Empowered? Stories of young Indian working women, Saarbrücken, Germany: Lap Lambert Academic Publishing, (ISBN: 978-3-659-20580-4)
Bhattacharyya, Rituparna and Singh, Suman(2018). Exclusion (and seclusion): Geographies of Disowned Widows of India, GeoJournal, 83 (4), 757–774, DOI: 10.1007/s10708-017-9800-0
Census of India (2011). Fertility Tables (F-Series). Registrar General India: New Delhi.
Das, K., & Das, M., (2018). Women And Wedlock: A Study On Female Marital Status Among the Hindus, Muslims and Christians of Assam, India. Space and Culture, India, 6(1), 107-119. https://doi.org/10.20896/saci.v6i1.294
Das, N and D Pandey (1985). Fertility differentials by religion in India: An analysis of 1971 census fertility data. Canadian Studies in Population, 12(2), 119-136.
Das, N., (1987). Sex preference and fertility behavior: A study of recent Indian data. Demography, 24(4), 517-530.
Day, L. H. (1984). Minority-group status and fertility: a more detailed test of hypothesis. The Sociological Quarterly, 25(4), 456-472.
Edmeades, J., Pande, R. P., Falle, T., & Krishnan, S. (2011). Son preference and sterilisation use among young married women in two slums in Bengaluru city, India. Global public health, 6(4), 407-420.
Frejka, T. &Sardon, J. P. (2007). Cohort birth order, parity progression ratio and parity distribution trends in developed countries. Demographic Research, 16(11), 315-374.
Goldscheider, C and Uhlenberg, P. R. (1969). Minority group status and fertility. American Journal of Sociology, 74(4), 361-373.
Haque, I., & Patel, P. P. (2016).Assessing Hindu-Muslim Fertility Differentials in West Bengal: Insights from the National Family Health Survey-3 Data. Journal of Family History, 41(2), 192-224.
Holzer-Zelazewska, D., &Tymicki, K., (2009).Cohort and period fertility of Polish women 1945-2008. Studia Demograficzne, 155(1), 48-69.
Iyer, S., (2002). Demography and religion in India. Oxford University Press, USA.
Jalil, A., Zakar, R., Usman, A., &Amjad, A. (2016).Determinants of fertility and fertility preferences in Pakistan: Comparative Secondary Analysis of PDHS 2007-2013. Pakistan Journal of Gender Studies, 12, 19-38.
Kulkarni, P. M. (March 2002). Special Population Groups. In SEMINAR, New-Delhi, 58-86, MALIYIKA SINGH.
Mistry, M. B., (1994).Hindu-Muslim fertility differentials in India. Journal Institute of Muslim Minority Affairs, 15(1-2), 171-182.
Mutharayappa, R., (1997). Son preference and its effect on fertility in India.
Patidar, H., (2018). Women’s Empowerment and Fertility Behaviour among the Tribals of Rajasthan, India. Space And Culture, India, 5(3), 129-139. doi:10.20896/saci.v5i3.285
Population Reference Bureau, (2017). To New Policy, briefs focus on sustainable development goals in Pakistan and Malawi. http://www.prb.org/Publications/Reports/2017/From-the-Health-Policy-Plus-Project.aspx
Ramesh, P., (2007). Analysis of fertility differentials among caste groups in Andhra Pradesh (An).
Rasheed, N. Khan, Z. Khalique, N. Siddiqui, A. R.&, Hakim, S. (2015). Family planning differentials among religious groups: A study in India. International Journal of Medicine and Public Health, 5(1).
Reddy, P. H., (2003). Religion, population growth, fertility and family planning practice in India. Economic and Political Weekly, 3500-3509.
Risley, H. H., (1891). The tribes and castes of Bengal, Government of India, 1, Calcutta.
Roy, S., Singh, K.K., Singh, B. P., Gupta, K. (2015).Study of the influence of caste differentials on fertility and contraception. Journal of Statistics Application and Prob. Letters, 2, 149-160.
Shariff, A., (1995). Socio-economic and demographic differentials between Hindu and Muslim in India. Economic and Political Weekly, 2947-2952.
Som, K. S. and Mishra, R. P. (2017a). Education, religion, development and regional patterns of fertility in West Bengal. Indian Journal of Spatial Science. 8(1): 1-8, Spring Issues.
Som, K., & Mishra, R. P. (2017b). An Inter-District Efficiency Measurement of RCH Program Using Data Envelopment Analysis in Madhya Pradesh, India. Space and Culture, India, 5(2), 84-96. https://doi.org/10.20896/saci.v5i2.267
Som, K. S., & Mishra, R. P. (2014). BIMARU States: Need a Rethinking. IOSR Journal of Humanities and Social Science, 19(7), 34-41. doi: 10.9790/0837-19713441
United Nations, Department of Economic and Social Affairs, Population Division (2009). World Marriage Data 2008 (POP/DB/Marr/ Rev2008).
Visaria, Leela, (1974). Religious Differentials in Fertility. In Ashis Bose et al. (eds.), Population in India’s Development,1947-2000, Vikas Publishing House, Delhi.
Yadava, R. C., Kumar, A., & Pratap, M. (2009). Estimation of parity progression ratios from open and closed birth interval data. Journal of Data Science, 11(3), 607-621.