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The Determinants of Low Fertility in India

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Demography

Abstract

Using a conceptual framework focusing on factors that enhance or reduce fertility relative to desired family size (see Bongaarts 2001), we study fertility variation across time (1992–2006) and space (states) in India. Our empirical analyses use data from three waves of the Indian National Family Health Surveys. We find that this framework can account for a substantial portion of the variation in the total fertility rate (TFR) over time and across states. Our estimates focus attention on the critical components of contemporary Indian fertility, especially desired family size, unwanted fertility, son preference, and fertility postponement.

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Notes

  1. In addition to the conceptual weakness of the B/P model in low fertility settings, we have also found that it does not have high predictive validity in these settings. In analyses not shown (available upon request), we estimate C c (contraception), C m (marriage), and C i (postpartum infecundability) from the classic proximate determinants framework for the states of India in 1992–1993, 1998–1999, and 2005–2006. We find that the association between observed and predicted TFRs is much stronger for the Bongaarts (2001) model (compared with the B/P model).

  2. Newer techniques use prospective fertility preferences to estimate unwantedness, thereby reducing biases inherent in the conventional techniques (Casterline and El-Zeini 2007). Our future analyses will explore these methods of constructing wantedness.

  3. Because the correlation between the two measures is modest in the survey years, we show final results from both in the article.

References

  • Adetunji, J. (1998). Unintended childbearing in developing countries: Levels, trends and determinants (DHS Analytical Reports No.8). Calverton, MD: Macro International.

  • Arnold, F. (1985). Measuring the effect of sex preference on fertility: The case of Korea. Demography, 22, 280–288.

    Article  Google Scholar 

  • Arnold, F., Choe, M. K., & Roy, T. K. (1998). Son preference, the family-building process and child mortality in India. Population Studies, 52, 301–315.

    Article  Google Scholar 

  • Arnold, F., Kishor, S., & Roy, T. (2002). Sex-selective abortions in India. Population and Development Review, 28, 759–785.

    Article  Google Scholar 

  • Bachrach, C. (2001). Comment: The puzzling persistence of postmodern fertility preferences. Population and Development Review, 27(Suppl), 332–338.

    Google Scholar 

  • Bachrach, C. A., & Morgan, S. P. (2013). A cognitive–social model of fertility intentions. Population and Development Review, 39, 459–485.

    Article  Google Scholar 

  • Bankole, A., & Westoff, C. (1998). The consistency and validity of reproductive attitudes: Evidence from Morocco. Journal of Biosocial Science, 30, 439–455.

    Article  Google Scholar 

  • Basu, A., & Desai, S. (2010, April). Middle class dreams: India’s one child families. Paper presented at the annual meetings of the Population Association of America, Dallas, TX.

  • Bhat, M. (1998). The effects of child mortality on fertility: The Indian case study. Washington, DC: National Research Council.

    Google Scholar 

  • Bongaarts, J. (1978). A framework for analyzing the proximate determinants of fertility. Population and Development Review, 4, 105–132.

    Article  Google Scholar 

  • Bongaarts, J. (1990). The measurement of wanted fertility. Population and Development Review, 16, 487–506.

    Article  Google Scholar 

  • Bongaarts, J. (1992). Do reproductive intentions matter? International Family Planning Perspectives, 18, 102–108.

    Article  Google Scholar 

  • Bongaarts, J. (2001). Fertility and reproductive preferences in post-transitional societies. Population and Development Review, 27(Suppl), 260–281.

    Google Scholar 

  • Bongaarts, J. (2013). The implementation of preferences for male offspring. Population and Development Review, 39, 185–208.

    Article  Google Scholar 

  • Bongaarts, J., & Feeney, G. (1998). On the quantum and tempo of fertility. Population and Development Review, 24, 271–291.

    Article  Google Scholar 

  • Bongaarts, J., & Potter, R. (1983). Fertility, biology, and behavior: An analysis of the proximate determinants. New York, NY: Academic Press.

    Google Scholar 

  • Caldwell, J. (1970). A manual for surveys of fertility and family planning: Knowledge, attitudes and practice. New York, NY: Population Council.

    Google Scholar 

  • Casterline, J., & El-Zeini, L. (2007). The estimation of unwanted fertility. Demography, 44, 729–745.

    Article  Google Scholar 

  • Chowdhury, M., & Bairagi, R. (1990). Son preference and fertility in Bangladesh. Population and Development Review, 16, 749–757.

    Article  Google Scholar 

  • Clark, S. (2000). Son preference and sex composition of children: Evidence from India. Demography, 37, 95–108.

    Article  Google Scholar 

  • Das Gupta, M., & Bhat, P. N. M. (1997). Fertility decline and increased manifestation of sex bias in India. Population Studies, 51, 307–315.

    Article  Google Scholar 

  • Davis, K., & Blake, J. (1956). Social structure and fertility: An analytic framework. Economic Development and Cultural Change, 4, 211–235.

  • Dyson, T., & Moore, M. (1983). On kinship, female autonomy and demographic behaviour in India. Population and Development Review, 9, 35–60.

    Article  Google Scholar 

  • Giddens, A. (1979). Central problems in social theory: Action, structure, and contradiction in social analysis. Berkeley: University of California Press.

    Google Scholar 

  • Greenhalgh, S. (1990). Toward a political economy of fertility: Anthropological contributions. Population and Development Review, 16, 85–106.

    Article  Google Scholar 

  • Guilmoto, C., & Rajan, I. (2001). Spatial patterns of fertility transition in Indian districts. Population and Development Review, 27, 713–738.

    Article  Google Scholar 

  • Hagewen, K., & Morgan, S. P. (2005). Intended and ideal family size in the United States, 1970–2002. Population and Development Review, 31, 507–527.

    Article  Google Scholar 

  • Hirschman, C. (1985). Premarital socioeconomic roles and the timing of family formation: A comparative study of five Asian societies. Demography, 22, 35–59.

    Article  Google Scholar 

  • International Institute of Population Sciences (IIPS). (1995). National Family Health Survey (MCH and Family Planning), India 1992–93. Bombay, India: IIPS.

    Google Scholar 

  • International Institute of Population Sciences (IIPS), & Macro International. (2007). National Family Health Survey (NFHS-3), 2005–06: India. Mumbai, India: IIPS.

    Google Scholar 

  • Jain, A., & Adlakha, A. (1982). Preliminary estimates of fertility decline in India during the 1970s. Population and Development Review, 8, 589–606.

    Article  Google Scholar 

  • Johnson-Hanks, J., Bachrach, C., Morgan, S. P., & Kohler, H.-P. (2011). Understanding family change and variation: Toward a theory of conjunctural action. Dordrecht, The Netherlands: Springer.

    Book  Google Scholar 

  • Jones, G. (2007). Fertility decline in Asia: The role of marriage change. Asia-Pacific Population Journal, 22, 13–32.

    Google Scholar 

  • Knodel, J., & Prachuabmoh, V. (1973). Desired family size in Thailand: Are the responses meaningful? Demography, 10, 619–637.

    Article  Google Scholar 

  • Kulkarni, S., & Choe, M. (1998). Wanted and unwanted fertility in selected states of India (National Family Health Survey Subject Reports No. 6). Mumbai, India: International Institute of Population Sciences.

  • Lloyd, C., & Ivanov, S. (1988). The effects of improved child survival on family planning practice and fertility. Studies in Family Planning, 19, 141–161.

    Article  Google Scholar 

  • McDonald, P. (2000). Gender equity in theories of fertility transition. Population and Development Review, 26, 427–439.

    Article  Google Scholar 

  • McNicoll, G. (1980). Institutional determinants of fertility change. Population and Development Review, 6, 441–462.

    Article  Google Scholar 

  • Menken, J. (1985). Age and fertility: How late can you wait? Demography, 22, 469–483.

    Article  Google Scholar 

  • Montgomery, M., & Cohen, B. (Eds.). (1998). From death to birth: Mortality decline and reproductive change. Washington, DC: National Academy Press.

    Google Scholar 

  • Morgan, S. P. (2001). Should fertility intentions inform fertility forecasts? In Proceedings of U.S. Census Bureau Conference: The direction of fertility in the United States (pp. 153–184). Washington, DC: US Census Bureau.

  • Morgan, S. P. (2003). Is low fertility a twenty-first-century demographic crisis? Demography, 40, 589–603.

    Article  Google Scholar 

  • Morgan, S. P., Guo, Z., & Hayford, S. (2009). China’s below-replacement fertility: Recent trends and future prospects. Population and Development Review, 35, 605–629.

    Article  Google Scholar 

  • Morgan, S. P., & Rackin, H. (2010). A half century of fertility change. Journal of Comparative Family Studies, 41, 515–535.

    Google Scholar 

  • Morgan, S. P., & Taylor, M. (2006). Low fertility at the turn of the twenty-first century. Annual Review of Sociology, 32, 375–400.

    Article  Google Scholar 

  • Olsen, R. (1980). Estimating the effect of child mortality on the number of births. Demography, 17, 429–443.

    Article  Google Scholar 

  • Palloni, A., & Rafalimanana, H. (1999). The effects of infant mortality on fertility revisited: New evidence from Latin America. Demography, 36, 41–58.

    Article  Google Scholar 

  • Parsons, T. (1949). The structure of social action. Glencoe, IL: The Free Press.

    Google Scholar 

  • Preston, S. H. (1978). Introduction. In S. H. Preston (Ed.), The effects of infant and child mortality on fertility (pp. 1–18). New York, NY: Academic Press.

    Google Scholar 

  • Radcliffe-Brown, A. R. (1932). Structure and function in primitive society. London, UK: Cohen and West Ltd.

    Google Scholar 

  • Registrar General, India. (2002). Sample registration system statistical report 2000. New Delhi, India: Office of the Registrar General.

  • Rele, J. (1987). Fertility levels and trends in India, 1951–81. Population and Development Review, 13, 513–530.

    Article  Google Scholar 

  • Roy, T., Sinha, R., Koenig, M., Mohanty, S., & Patel, S. (2008). Consistency and predictive ability of fertility preference indicators: Longitudinal evidence from rural India. International Family Planning Perspectives, 34, 138–145.

    Article  Google Scholar 

  • Sahlins, M. (2000). Culture in practice: Selected essays. New York, NY: Zone Books.

    Google Scholar 

  • Schoumaker, B. (2004). A person-period approach to analyszing birth histories. Population – E, 59, 689–702.

    Article  Google Scholar 

  • Sewell, W. H., Jr. (1992). A theory of structure: Duality, agency, and transformation. American Journal of Sociology, 98, 1–29.

    Article  Google Scholar 

  • Sewell, W. H., Jr. (2005). Logics of history: Social theory and social transformation. Chicago, IL: University of Chicago Press.

    Book  Google Scholar 

  • Trussell, J., & Olsen, R. (1983). Evaluation of the Olsen technique for estimating the fertility response to child mortality. Demography, 20, 391–405.

    Article  Google Scholar 

  • Visaria, L. (2004). The continuing fertility transition. In T. Dyson, R. Cassen, & L. Visaria (Eds.), Twenty-first century India: Population, economy, human development and the environment (pp. 57–73). New York, NY: Oxford University Press.

    Google Scholar 

  • Wildsmith, E., Guzzo, K., & Hayford, S. (2010). Repeat unintended, unwanted and seriously mistimed childbearing in the United States. Perspectives on Sexual and Reproductive Health, 42, 14–22.

    Article  Google Scholar 

  • World Bank. (2013). CME Info [Database containing child mortality estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division)]. Retrieved from www.childmortality.org

Download references

Acknowledgments

The first two authors share first authorship and are listed alphabetically. Dharmalingam initiated the project and carried out preliminary empirical work; Rajan conducted all analyses reported in the article, wrote the first draft, and presented a previous version of the paper at the 2012 meeting of the Population Association of America, San Francisco. All authors contributed to the project’s conceptualization and to the interpretation of results and the writing of multiple drafts of the article. Two anonymous reviewers made excellent suggestions on an earlier version of this article. We are grateful for general support from the Carolina Population Center (R24 HD050924) at the University of North Carolina–Chapel Hill; Duke University; and the Centre for Population and Urban Research at Monash University, Melbourne.

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Correspondence to Sowmya Rajan.

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Dharmalingam, A., Rajan, S. & Morgan, S.P. The Determinants of Low Fertility in India. Demography 51, 1451–1475 (2014). https://doi.org/10.1007/s13524-014-0314-9

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