Fertility and Family Planning Uses in Assam: A Secondary Data Level Analysis
This paper examines the socio-economic factors inhibiting fertility. Fertility level measured by Child Ever Born (CEB) also accounts very high and present similar district wise variation. . The fertility level among ever married woman varies by various characteristics like age of the ever married women, place of residence, educational attainment, religions, social groups, and wealth quintiles. In general, CEB is found to be varying negatively with socio-economic status and positively with age of a woman. The paper also examined pattern of contraceptive uses and the factors affecting its uses. Knowledge about family planning method is found almost universal. The percentage of women knowing any type of contraceptive method account 98.6 percent. There were only some districts like Dhubri, Sibsagar and Golaghat lags marginally with accounting rates of 94.4, 95 and 95.5 percent correspondingly. However, contraceptive prevalence rate (CPR)-the percentage of currently married women using any type of contraceptive method is found low.
Agarwala S.N (1970), ‘Demographic Survey Of Six Urbanizing Villages’, Kingston University Press.
Balk D. (1994) Individual and community aspects of women’s status and fertility in rural Bangladesh. Population studies 48 (1): 21-45.
Baruah P. &Hazarika J. (2008), ‘Role of Education in Fertility and Mortality Behavior’.
Becker GS, Lewis HG (1974). On the interaction between quantity and quality of children. Journal on Political Economic 81 (2): S279 - 88.
Bezbaruah, D.N. (Jan2, 2005),’Demographic Threats in Assam’, The Assam Tribune.
Bhende Asha A. &Kanitkar Tara (2006), Principles Of population Studies. Mumbai: Himalaya Publishing House.
Bongaarts J: Fertility transition in developing countries: Progress or stagnation? 2008.Cleland J. Rodrigwr G. (1988). The effect of parental education on martial fertility in developing countries. Population studies 42 (3) : 419 – 42
Davis K., Black J. (1956) social structure and fertility; an analytical frame work. Economic development & cultural change 4 (3): 211 - 35.
Desai S. Alva S (1998) Maternal Education and child health: Is there a strong causal relationship? Demography 34: 385-98.
Dhar P. K. The Economy of Assam (2009) Kalyani Publishers New Delhi.
Eversley. D.E.C. (1959): Social Theories of Oxford University Press Fertility and the Malthusian Debate.
Friedman, M(1957): A Theory of consumption function. Princeton: Princeton University Press.
Government of India, Economic Survey (2009-2010).
Hamd, Ambark Edris (2011), “The effect of education on female fertility behaviour in El Gebel El Akhder in Libya”, University of Dundee, Libya.
Kishore Singh Rajput (2008), ‘Socio-Economic Determinants of Differential Fertility by Religion & Reproductive Health Needs: A case study of Sonitpur district’. PhD Thesis, Gauhati University
K. Sethuraman (2007); Economic and Political Weekly. Mumbai: A Sameeksha Trust Publications, XLII (44):49-53.
Mohammad A: Age At First Marriage and cumulative Fertility in Pakistan. 1985, 59: 40 -50.
National Family Health Survey, Phase-3. NedFi Reports-2009.
R. Srinivasan (2008), ‘Healthcare In India-Vision 2020, Issues& Prospects.’
Sharma, Rajendra Kumar (2005), Population problems, New Delhi: Vikash Publishing House.
Statistical Handbook of Assam (2009), Assam
Schultz TP. (1997) Demand for children in low income countries. In Hand book population and Family Economic, Vol. 1 A, ed. MR Rosinzweigi o stark, PP. 349 - 430 Amsterdam Elsevier Press.
Strauss and Thomas (1995) Human Resources empirical modeling of household and family decisions. In Hand book of Development Economics, Vol. 3A, ed, J Behrman, TN Srinivasan, PP. 1883 - 2003. Amsterdam: Elsevier.
Sharma. Rajendra Kumar: Demography and population problems (2004), Atlantic Publishers and Distribution.
V.C. Sinha & E. Zechariah: Elements of Demography, Reprint 2007, Allied Publisher Private Limited.
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