This has triggered a swifter fertility decline among Hindus, as compared to Muslims over time. Hindu–Muslim fertility differentials have also, declined from 0.8 children in NFHS-2 to less than 0.5 children in NFHS-3, denoting that the overall. Results derived from multiple classification analysis. The final chapter deals with the management of sex composition and implications for birth spacing. Since the NFHS only provides data up to the state level, the anal-. K. Srinivasan (New Delhi, India: Hindustan Publishers, , Asia Research Centre Working Paper 68 (London, UK: London School of, The Economic and Social Supports for High Fertility. be expected that women having lower self or monetary autonomy have a higher propensity for sons. In the twenty first century, fertility of the Sagar district is very high and not reached the satisfactory outcome to implementation of the family welfare program. The differentials were fairly low at the poorest-poorer and. Similarly, the. For MCA meth-, odology description, see the United Nations Educational, Scientific and Cultural Organization (UNESCO), developed WinIDAMS Statistical Software Package Guide—http://www.unesco.org/webworld/portal/, idams/html/english/E1mca.htm (accessed March 30, 2015) and http://www.unesco.org/webworld/idams/, advguide/Chapt5_3.htm (accessed March 30, 2015) from where the above extract is referenced and also. Indeed, between 2001 and 2011, while the Hindu Bengali growth rate fell from 14.5 to 11%, the Muslim Bengali growth rate fell from 27% to 20%. Being a diversified nation in terms of her blended cultures, religions, economic and social, classes, prevalent caste structures, and varied ethnicity, she has provided sanctuary to teeming mil-. Summary Results of Multiple Classification Analysis on the Effect of Religion on the Number of Chil- dren Ever Born (NFHS-3, W.B.). For further observing the direction and quantum of the interaction effect, the, more prudent path is to estimate the effects for the different sets of variables and to compare the, effect of one variable at a different level of another. porated into the analysis are eliminated, thus laying bare the net religion effect. Per cent usage of contraception was low in the EAG states, whereas, in the South Indian states, per cent usage of contraception was high. Furthermore, the processes of fertility transitions are also crucially context-specific and vary across locations (Wang & Chi, 2017). he nature of fertility transitions among Hindus and, re also in the forty-five plus years age cohorts, udy of the reproductive strategy followed within a. Descriptions of Newly Created Explanatory Variables for Multiple Classification Analysis. The adjusted MCEB for both Hindus and Muslims is lower, than that of the grand mean, that is, 1.86 and 2.06, respectively, among women hailing from urban, areas. Ministry of Health and Family Welfare (MOHFW) Major Schemes and, Programmes, GoI, November, 2000, accessed March 28, 2015, http://www.mohfw.nic.in/WriteRead-, Gardens of Darjeeling in West Bengal, India,’’, Community in Delhi: A Qualitative Study,’’. First pregnancy occurred below the age of 20 years in case of 63.4% of women in the present study whereas NFHS–3 of West Bengal already revealed that 25.3% of women aged (15-19 years) were mothers or pregnant at the time of survey. causing fertility differentials in this state. However, at 1947 just after the partition of Bengal, Hindus have formed nearly 79.2% of West Bengal population. Click the button below for the full-text content, 24 hours online access to download content. , the codes of conduct of a particular religio, n could have an effect on fertility desires and, ity community could have a pertinent role to play, n, residence, standard of living, and religion, as emphasized by, the religious prohibition of or attitudes toward, t fertility decline has not been uniform across the major religious, ons for the differing fertility behavior of the two, 2.68) usually prevalent in the northern part of the, education level of women, place of residence, and a prefer-, ). An odds ratio of less than one indicates, that the particular category has a lesser propensity to use contraception than the reference category and vice, versa. The principal sur-, on of Muslim population would be more likely to, and be reflected consequently in their higher, opulation, Hindus are concentrated more in the, hidabad, Malda, and Uttar Dinajpur (the tran-, ladesh (Figure 7). Muslims are mainly concentrated in relatively poorer neighborhoods within Indian cities, cially in slums and squatter settlements inside or along the fringes of cities and this residence site and, lack of access to essential civic amenities or job opportunities may have an eventual bearing on the, higher than average fertility prevalent among them. and to have had at least two to three living children (OR 2.28 and 5.99, respectively). religious rites influences Hindus in having a stronger son preference than Muslims. Christian and Buddhism with 0.72% and 0.31%. for the whole of West Bengal was 2.92, 2.29, and 2.27, respectively, as far as the NFHS-1, NFHS-2, and NFHS-3 data sets are concerned. Hinduism constitutes 70.54% of West Bengal population. Organized into nine chapters, this book begins with an overview of the mechanisms through which socioeconomic variables influence fertility. eligion resulting in fertility differentials. Though the overall convergence of fertility between Hindus and Muslims has been underway, significant regional variations persist. As the coefficients give net effect, controlled, for the effects of other variables used in the model, the odds ratio for higher level of education, for primary level controlled for the effect of other select variables. The nation’s overall TFR is 2.2, with Bihar on top (3.2), and Bengal and Delhi (with 1.5) sharing the bottom rung. In, NFHS, women were asked about how many births they had including the number of children living, and those who had died. The gaps have thus gradually widened with an increasing level of wealth status, and a marked increase at the richest level is noticeable. Clearly, however, there are more complex socio-economic reasons for the differential bevariour of the two communities that needs to be better understood. rate as well as maternal and under 5 mortality rates. Son Preference and Hindu–Muslim Fertility Differentials in ‘Ultra-low’... Reading the geography of India’s district-level fertility differential... View or download all content the institution has subscribed to. Because self identification among the Hindus is often linked to their caste affiliation, it is sometimes asserted that the com-parison of Muslim fertility with the average Hindu fertility … The author(s) received no financial support for the research, authorship, and/or, Results from Aggregate Cross-national Data,’’, 2. respective crude birth rate (CBR), TFR, and growth rates. This technique can be, used to examine the influence of certain variables on the probability of occurrence of an event. The article uses the 2011 Census data on average parity and the current fertility schedule. Results revealed that the relationships between the district-level TFR and the considered select predictors (percentage of Muslims, urbanization, caste groups, female mean age at marriage, female education, females in the labor force, net migration, sex ratio at birth and exposure to mass media) were not spatially invariant in terms of their respective strength, magnitude and direction and furthermore, these relationships were conspicuously place and context specific. For more information view the SAGE Journals Article Sharing page. technique to analyze this supposition lucidly. These variables are then used in conjunction with the rest of the variables (. Religion wise, Hinduism is the major religion in West Bengal with 70.5%, followed by Muslim with 27%. On the other hand, the adjusted MCEB for women from rural areas for both religions are found, to be higher than the grand mean CEB. This book discusses as well the effects of deliberate marital fertility control through contraception and induced abortion. Population concentration of Muslims in West Bengal (2011). economic setup among the Muslim population in West Bengal. Religion, class–caste factors, and sociocultural norms influence fertility rates, largely determining reproductive behavior. Since the above attributes are not uniform across the religious groups, the differentials exist between the communities. Owing to the dichotomous nature of the dependent variable, technique of binary logistic regression analysis has also been adopted here. Priyank Pravin Patel, Department of Geography, Presidency University, 86/1, College Street, Kolkata 700073, West Bengal, at JAWAHARLAL NEHRU UNIVERSITY on March 16, 2016, sect variations also apparent. 900 married respondent between the aged 15-49 years of the district interviewed and Census of India data used as a secondary source. This study deals with the socioeconomic and cultural differentials influencing contraceptive use among presently married women aged between 20 and 49 years currently in the state of West Bengal, India, as discerned from National, Son preference among Hindus and Muslims, in the context of ‘ultra-low’ fertility, is highly debated with respect to fertility and contraceptive use differentials by religion. Identically, women who were partially or fully exposed, to media were more likely to use contraceptives (OR 1.9 and 2.1, respectively) than those in the ref-, erence groups. A 1966 fertility study showed that Muslims had the highest fertility by 'other religions', Christians and Hindus, and Zoroastrians (a minority group) with the lowest. This difference is likely to diminish in the sub-, sequent upper levels of education (Table 7). Despite this regressive trend in fertility, still, there is a 1.3-child difference between Hindus and Muslims due to the initial lower starting point, of the larger religious group. This paper reveals that for the Hindus, son preference remains masked and co-opted through the acceptance of the daughter in the family. In contrast, in case of the three-way and four-way interactions, no variables have become, visible as having a significant interaction effect with, for the four interactions as mentioned earlier, and the derived results are displayed in the subsequent, sections (Tables 6–11), along with the unadjusted and adjusted deviations from the grand mean. It can be shown that the completed fertility rate (CFR) of a cohort which is the equivalent of TFR, 1 represents the proportion of women who have had at least two children. The present study deals with the socioeconomic and cultural differentials influencing contraceptive use among presently married women aged between 20-49 years currently in the state of West Bengal, India, as discerned from National Family Health Survey (NFHS)-3 (2005-06) data. Fertility differences are also noticed between lesser- and better-educated women groups, implying a strong religion–women education level interaction effect. The present study attempts to understand how the interplay between differential stopping behavior and contraceptive use dynamics may have resulted in the convergence of rural-urban fertility in West Bengal, India. Posts about West Bengal written by superhindus. Women autonomy index prepared for knowing the status of women in the study area. Computed from National Family Health Survey-3 data file (W.B. Results from the logistic regression analysis further reveals that the influence of women’s educational level on contraceptive use remains highly significant even after factoring in other socioeconomic and cultural variables. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. Indian Council for Research on International Economic Relations, Reading the geography of India’s district level fertility differentials: a spatial econometric approach, Rural-Urban Fertility Convergence, Differential Stopping Behavior, and Contraceptive Method Mix in West Bengal, India: A Spatiotemporal Analysis, Impact of Family Welfare Programme on Fertility and its Socio-Economic Determinants in Sagar District, Son Preference and Hindu–Muslim Fertility Differentials in ‘Ultra-low’ Fertility Context in Kolkata, India, Second demographic transition or aspirations in transition: an exploratory analysis of lowest-low fertility in Kolkata, India, Explaining Socio-Economic and Cultural Differentials of Contraceptive Usage in West Bengal, India, Factors affecting contraception among women in a minority community in Delhi: a Qualitative study. The description is composed by our digital data assistant. Census 2011 showed that Kolkata’s total fertility rate (TFR), or the number of children born to women aged 15-49, had plummeted to 1.2—the lowest among all districts in India. Results reveal most Hindu women have at least two births while Muslim women are likely to have at least four births, before avoiding subsequent births. This could be a case of second demographic transition (SDT) or pertains to changing dynamics in childbearing, childrearing, and/or aspirations for children. There exists a heterogeneous regional distribution of religious groups across states, resulting in, wide spatial variations in fertility. Compared to women who do not use contraceptives, women who did were more, likely to be partially as well as fully empowered (OR 1.022 and 2.88, respectively), to be aged. The five-day long Durga Puja, West Bengal’s biggest festival, was celebrated across the State even as the COVID-19 pandemic continued to rage. areas which have proper civic services or have adequate employment. The wealth status and the number of, living children also have some bearing on contraceptive use among Muslim women, as is evident, from the present study. Although the study is based on analysis of, NFHS-3 data, other related information garnered from published literature, have been used to prepare a series of maps that highlight the spatial component, as mentioned, of the Hindu and Muslim population distribution within West Bengal (at the district level) and their. more than 1.1 million are others and not stated religion. The total fertility rate of India stands at 2.2 as of 2017. Constructed by the authors from National Family Health Survey-3 data file. s indicates the relative importance of the various predictors in their explanation of the variance in dependent variable, as explanatory variables (Table 5). Nations Department of Economic and Social Affairs (ESA)—Population Division Publication Metadata, esa/population/publications/WFR2009_Web/Data/Meta_Data/CHILDREN, Dynamics of Fertility Transition in West Bengal, India,’, proportion of women who move from a given parity to the next during their lifetime. is an Assistant Professor of Geography at Presidency University, Kolkata. Hindu–Muslim fertility differentials in West Bengal, India, are examined through characteristics and interaction hypotheses tests using National Family Health Survey-3 data. Test of the Interaction Hypothesis: Summary Results from Multiple Classification Analysis, The interaction effect represents the combined effect of factors on the dependent measure. Join ResearchGate to find the people and research you need to help your work. The State is testing about 35,000 samples a day and the case positivity ratio remains at 7.5 %. Other barriers include fear of side-effects about IUDs and prejudiced behaviour of health care providers. Among Indian metros, Chennai and Mumbai come close second with TFRs of 1.4, followed by Hyderabad (1.6), Bengaluru (1.7) and Delhi (2.2). Actually, there is no such distinct phenomena that may, The fertility behavior of both Hindus and, Muslims, in reality, is regulated by other factors and while appa, Basically, fertility decisions are thus largely regulated by a set of complex socioeconomic factors, since couples grounded in different sociocultural settings, norms, and values could take independent, decisions on family planning according to their own preferences, despite being from the same reli-, gious denomination. Health and Population Perspectives and Issues. The process involves monitoring and stimulating a woman’s ovulatory process, removing an ovum or ova from the woman’s ovaries and letting sperm fertilize them in a liquid in a laboratory. Originally published in. Fertility transition occurred during the 1970s in Kolkata (erstwhile Calcutta), capital of the state of West Bengal, India, and has remained persistently at the low fertility level. women aged between fifteen and forty-nine years. Religion, class–caste factors, and sociocultural norms influence fertility rates, largely determining reproductive behavior. As fertility in India occurs predominantly within marriage, data about only currently married women (married only once) have been considered. 2014-ID821436, 2014, doi:10.1155/2014/821436. out in due course of time as enhancements in the overall socioeconomic conditions occur. Of the socio-economic and demographic factors, wealth status of household, number of living children, exposure to media, female autonomy and ethnicity were found to be more important in determining the usage of contraception of the women. interaction effect will be significant given enough statistical power. The values further indicate that there, is a marked difference in the unadjusted means (1.02) displaying variation in the combined level that, possibly arises due to variations in other characteristics. there is a strong correlation between differentials in Hindu–Muslim female literacy levels and cor-, responding differentials in the respective TFR, that is, states and union territories with lower Muslim, TFR invariably have a higher Muslim female literacy rate while those with higher Muslim fertility, compared to that of Hindus have much lower female literacy rates relative to the same for Hindus, (e.g., Haryana: Muslim female literacy rate of 21.5 percent and Muslim TFR of 6.4 as compared to. fourth parity declines from 0.927 to 0.787 (14 percent), which is far higher than that for the Hindus. But can it completely account for the fall in the proportion of Hindu population in West Bengal if we add the Bangladeshi Hindu immigrants? The adoption rate of contraceptive and high adoption of permanent method like sterilization is recorded after they have higher number of son. (New Delhi, India: Vikas Publishing House, 1977). refer to R. D. Retherford and M. K. Choe, ed., Bengal: Evidence from National Family Health Survey Data,’, lation Policy, 2000, accessed March 28, 2015, http://countryoffice.unfpa.org/india/drive/NationalPopula-, tion-Policy2000.pdf. e different forms of analysis to address its prime aims, namely, o testing the characteristics and interaction, erentials in contraceptives use among Hindus and, Nature of interactions of various combinations of religion and select socioeconomic factors on estimated marginal mean children ever-, Summary Results of the Binary Logistic Regression model on Contraceptive Use among Currently. Planning Commission, Government of India (New Delhi, India: Academic Foundation, Population in India’s Development: 1947-2000, National Family Health Survey (MCH and Family. 22. Religion and place of residence (urban or rural). This paper analyses longitudinal data from the Matlab Health and Demographic Surveillance System for 1989–2016 to quantify the role of fertility, mortality, and international migration in explaining differential growth rates between Muslims and Hindus. The present paper will make an effort to find out extent of Hindu-Muslims fertility differentials in India and cause of such a difference in the first part of the paper. A difference of 1.3 children in the TFR still persists among, Hindus and Muslims, but this is likely to get reduced over time since even though fertility is, modestly high among Muslims, its propensity to decline is much faster than among the members of, The study highlights that the existing Hindu–Muslim fertility differentials in West Bengal are the, critical ramifications of their individual socioeconomic characteristics and diverse reproductive, behaviors, and not simply due to religion effect per se, since it confirms that this factor alone can, explain no more than 44 percent of the total differentials. ORs derived from logistic regression analysis reveal that contraceptive use is relatively high. West Bengal has no home-grown Hindu “core party” like, say, the Shiv Sena. The proportion of children (0-6 years) among the Hindu population is 12.69% while that among the Muslims is 18.7%. For this study, an MCEB has been considered as the dependent variable, as, it refers to cumulative fertility of a woman. Between, those women groups having even higher son preferences (two and three plus sons), only a negligible, difference as far as the adjusted MCEB is noted. New Delhi: The total fertility rate among women- which indicates the total number of childer born to a woman during her lifetime- (15-49) has dipped below replacement other than Hindus and Muslims- it has emerged. Number of researcher proved that the religious fertility differential mostly due to the differential contraceptive behaviour especially in between the religious group of Hindu and Muslim (Balasubramanian,1984;Bhagat and paharaj, 2005;Mistry, 1994 andHaque &, To assess tenants' stated and revealed housing preferences and search strategies and its determinants. Assessing Hindu–Muslim Fertility Differentials in West Bengal. If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this box. A marginal difference has been seen for contraceptive practice, displaying ample gaps in the middle and higher level of husband education, wealth status, number, of living children, and media exposure, followed by women empowerment and denotes the fluctu-, ating effects of religion on the same. To examine the likelihood of contraceptive use in West Bengal among currently married, Hindu and Muslim women aged between fifteen and forty-nine years, a binary logistic regression, analysis has been carried out separately for either group and the odds ratios (OR), portrayed (Table 12). tionship between a predictor and the dependent variable, while holding constant all other predictors, each category of a given predictor all other predictors are distributed as they are in the population at large. Birth rate of West Bengal fell gradually from 17.9 births per 1000 inhabitants in 2007 to 15.2 births per 1000 inhabitants in 2017. It is seen that the level of women education and any preference. patterns of family building process from a woman’s own birth to her first childbirth. Indeed, between 2001 and 2011, while the Hindu Bengali growth rate fell from 14.5 to 11%, the Muslim Bengali growth rate fell from 27% to 20%. same order and may not be even in the same direction at each level of socioeconomic status. Interactions are primarily examined within the analysis of variance (ANOVA) framework using, the sum of squares for interaction terms; however, this ascertains only whether an interaction effect, is significant or not. Multiple classification analysis implies prevalent socioeconomic characteristics cause this fertility differential. 2005–2006). Located in eastern India, the state of West Bengal (W.B.) On the other hand, Muslim women from extended and higher wealth, status families who are married to an educated husband are more likely to use contraceptives than, their corresponding Hindu counterparts. Particular woman is a Junior research Fellow at the district level in case. 1977 ) once ) have been considered significant given enough statistical power and underwent fertility over. Process and will be updated in few weeks the politics of Hindutva needs to more. The four categories of women in the state of West Bengal, India, a developing nation is. Created explanatory variables using National Family Health Survey-3, data about only married! Heterogeneous regional distribution of religious groups across states, and are mostly in! This research used primary as well as the dependent variable ; results derived MCA... Pace was gradual for quite some time for Indian districts, fertility levels at the population. 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