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The Behavioral Ecology of Family Planning

Two Ethnic Groups in Northeast India

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An Erratum to this article was published on 06 October 2007

Abstract

Family planning is the usual modern route to producing a small family. Can human behavioral ecology provide a framework for understanding family planning behavior? Hillard S. Kaplan (Yearb. Phys. Anthropol. 39:91–135) has proposed a general theory of human parental investment based on the importance of skills development in children. As modern, skills-based, competitive market economies are established, parental investment strategies would be predicted to become oriented toward producing increasingly competitive offspring in a pattern of coordinated investment in their embodied capital—in other words, skills training along with good health to ensure their long-term productivity. Parental embodied capital and resources are also expected to be associated with motivation to produce competitive offspring. The basic parental investment trade-off between quality and quantity should predict greater investment in fewer children and the adoption of family planning behavior. Data on family planning in two ethnic groups in Northeast India (Khasi and Bengali) currently experiencing early-phase transition into modern market economies from very different social and ecological baselines are examined within this analytical framework. The results show a mixture of strategies in conjunction with family planning that involve decreased as well as increased investment in the embodied capital of children among Bengali and a divergence of investments in education and health among Khasi. These mixtures of strategies provide some insight into the motivations to use family planning in the face of economic transition, given differing local cultural and ecological conditions and the opportunity structures they provide.

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Notes

  1. Children’s weights are converted to weight for age/sex z-scores based on National Center for Health Statistics (NCHS) standards using their public domain program EpiInfo6. The scores provide a measure for each child that is relative to the particular NCHS reference value for children of the same age and sex. A negative measure indicates the child is below the standard, and a positive one, above the standard. This conversion allows direct comparison of children of all ages and both sexes (World Health Organization 1995). Thus, the z-scores can be averaged over the sibship to obtain one measure of the health of the sibship.

  2. No statistical comparison of land area cultivated is given since the quality and value of land differs so much between the hilly areas where the Khasi live and the plains where the Bengali live. The areas (Khasi, 2.0 ± 3.6; Bengali, 3.0 ± 4.6 ha [mean ± SD]), however, are used in the regression analysis as their relative size is important within each group.

  3. Work effort contributions by the woman and her husband were estimated based on a questionnaire regarding which of 17 crop production and processing activities were performed and how often. The lists of activities were compiled based on descriptions by local people familiar with the routines of crop production and processing. Based on an epidemiological approach to physical activity (Paffenbarger et al. 1978), each activity was assigned a kilocalorie expenditure value and a measure (kcal units/year) was then estimated (see Leonetti et al. 2005).

References

  • Bhat, P. N. M., & Zavier, A. J. F. (2003). Fertility decline and gender bias in Northern India. Demography, 40, 637–657.

    Article  Google Scholar 

  • Bock, J. (1999). Evolutionary approaches to population: Implications for research and policy. Population and Environment: A Journal of Interdisciplinary Studies, 21, 193–222.

    Google Scholar 

  • Bock, J. (2002). Evolutionary demography and intrahousehold time allocation: School attendance and child labor among the Okavango delta peoples of Botswana. American Journal of Human Biology, 14, 206–221.

    Article  Google Scholar 

  • Borgerhoff Mulder, M. (1998). The demographic transition: Are we any closer to an evolutionary explanation? Trends in Ecology and Evolution, 13, 266–270.

    Article  Google Scholar 

  • Borgerhoff Mulder, M. (2000). Optimizing offspring: The quantity–quality tradeoff in agropastoral kipsigis. Evolution and Human Behavior, 21, 391–410.

    Article  Google Scholar 

  • Caldwell, J., & Caldwell, P. (1976). Demographic and contraceptive innovators: A study of transitional African Society. Journal of Biosocial Science, 8, 347–365.

    Google Scholar 

  • Cassidy, C. M. (1980). Benign neglect and toddler malnutrition. In L. S. Greene & F. Johnston (Eds.), Social and biological predictors of nutritional status, physical growth, and neurological development (pp. 109–139). New York: Academic.

    Google Scholar 

  • Chacko, E. (2001). Women’s use of contraception in Rural India: A village-level study. Health & Place, 7, 197–208.

    Article  Google Scholar 

  • Chandrasekhar, S. (1980). Population and Law in India, 2nd Ed. Madras: Macmillan.

    Google Scholar 

  • Das Gupta, M. (1987). Selective discrimination against female children in Rural Punjab, India. Population and Development Review, 13, 77–100.

    Article  Google Scholar 

  • Jejeebhoy, S. J. (1995). Women’s Education, Autonomy and Reproductive Behavior: Experience from Developing Countries. Oxford: Clarendon Press.

    Google Scholar 

  • Jha, P., Kumar, R., Vasa, P., Dhingra, N., Thiruchelvam, D., & Moineddin, R. (2006). Low male-to-female sex ratio of children born in India: National survey of 1.1 million households. Lancet, 367, 211–218.

    Article  Google Scholar 

  • Kaplan, H. (1996). A theory of fertility and parental investment in traditional and modern human societies. Yearbook of Physical Anthropology, 39, 91–135.

    Article  Google Scholar 

  • Kaplan, H., & Lancaster, J. B. (2000). The evolutionary economics and psychology of the demographic transition to low fertility. In L. Cronk, N. Chagnon & W. Irons (Eds.), Adaptation and human behavior: An anthropological perspective (pp. 283–322). New York: Aldine de Gruyter.

    Google Scholar 

  • Kaplan, H., Hill, K., Lancaster, J. B., & Hurtado, A. M. (2000). A theory of human life history evolution: Diet, intelligence, and longevity. Evolutionary Anthropology, 9, 156–185.

    Article  Google Scholar 

  • Kaplan, H., Lancaster, J. B., Tucker, W. T., Anderson, K. G. (2002). Evolutionary approach to below-replacement fertility. American Journal of Human Biology, 14, 233–256.

    Article  Google Scholar 

  • Khan, H. T. A., & Raeside, R. (1997). Factors affecting the most recent fertility rates in urban–rural Bangladesh. Social Science and Medicine, 44, 279–289.

    Article  Google Scholar 

  • Knodel, J., Ruffolo, F. P., Ratanalangkarn, P., & Wongboonsin, K. (1996). Reproductive preferences and fertility trends in post-transition Thailand. Studies in Family Planning, 27, 307–318.

    Article  Google Scholar 

  • Leonetti, D. L., Nath, D. C., Hemam, N. S., & Neill, D. B. (2005). Kinship organization and the impact of grandmothers on reproductive success among the matrilineal Khasi and Patrilineal Bengali of Northeast India. In E. Voland, A. Chasiotis, & W. Schiefenhovel (Eds.), Grandmotherhood: The evolutionary significance of the second half of female life (pp. 194–214). New Brunswick: Rutgers University Press.

    Google Scholar 

  • Leslie, P., & Winterhalder, B. (2002). Demographic consequences of unpredictability in fertility outcomes. American Journal of Human Biology, 14, 168–183.

    Article  Google Scholar 

  • Low, B. S., Simon, C. P., & Anderson, K. G. (2002). An evolutionary ecological perspective on demographic transition: Modeling multiple currencies. American Journal of Human Biology, 14, 149–167.

    Article  Google Scholar 

  • Mace, R. (1996). When to have another baby: A dynamic model of reproductive decision-making and evidence from Gabbra Pastoralists. Ethnology and Sociobiology, 17, 263–274.

    Article  Google Scholar 

  • Mace, R. (1998). The coevolution of human fertility and wealth inheritance strategies. Philosophical Transactions of the Royal Society of London B, 353, 389–397.

    Article  Google Scholar 

  • Mace, R. (2000). Evolutionary ecology of human life history. Animal Behavior, 59, 1–10.

    Article  Google Scholar 

  • Martin, T. C. (1995). Women’s education and fertility: Results from 26 demography and health surveys. Studies in Family Planning, 26, 187–202.

    Article  Google Scholar 

  • Mason, K. O. (2001). Gender and family systems in the fertility transition. In R. A. Bulatao & J. B. Casterline (Eds.), Global fertility transition, population and development review, 27(Suppl.):165–176.

  • Paffenbarger, R. S., Wang, W. L., & Hyde, R. T. (1978). Physical activity as an index of heart attack risk in College Alumni. American Journal of Epidemiology, 108, 161–175.

    Google Scholar 

  • Pennington, R., & Harpending, H. (1988). Fitness and fertility among Kalahari !Kung. American Journal of Physical Anthropology, 77, 303–319.

    Article  Google Scholar 

  • Rajaretnam, T., & Deshpande, R. V. (1994). The effect of sex preference on contraceptive use and fertility in Rural South India. International Family Planning Perspectives, 20, 88–95.

    Article  Google Scholar 

  • Ravichandran, N. (2002). Population, Reproductive Health and Development. New York: Population Council, and Delhi: New Century Publications.

    Google Scholar 

  • Rosenzweig, M., & Schultz, T. P. (1982). Market opportunities, genetic endowments, and intrafamily resource distribution: Child survival in Rural India. American Economic Review, 72, 803–815.

    Google Scholar 

  • Roy, T. K., & Paswan, B. (1995). Demand for Family Planning among Scheduled Castes and Scheduled Tribes. In Mathur, H. M. (Ed.), The family welfare programme in India (pp. 157–175). Churchgate, India: Vikas Publishing.

    Google Scholar 

  • Sathar, Z. A., & Mason, K. O. (1993). How female education affects reproductive behavior in Urban Pakistan. Asian and Pacific Population Forum, 6, 93–103.

    Google Scholar 

  • Scrimshaw, S. (1978). Infant mortality and behavior in the regulation of family size. Population and Development Review, 4, 383–403.

    Article  Google Scholar 

  • Visaria, L., Jeejeebhoy, S., & Merrick, T. (1999). From family planning to reproductive health: Challenges facing India. International Family Planning Perspectives, 25(Suppl.), s44–s49.

    Article  Google Scholar 

  • World Health Organization (1995). Physical Status: The Use and Interpretation of Anthropometry. WHO Technical Report Series 854. Geneva: World Health Organization.

    Google Scholar 

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Correspondence to Donna L. Leonetti.

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An erratum to this article can be found at http://dx.doi.org/10.1007/s12110-007-9025-x

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Leonetti, D.L., Nath, D.C. & Hemam, N.S. The Behavioral Ecology of Family Planning. Hum Nat 18, 225–241 (2007). https://doi.org/10.1007/s12110-007-9010-4

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