Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-25T23:10:58.614Z Has data issue: false hasContentIssue false

Fertility transition and socioeconomic development in districts of India, 2001–2016

Published online by Cambridge University Press:  19 January 2021

Sayantani Chatterjee*
Affiliation:
International Institute for Population Sciences, Mumbai, India
Sanjay K. Mohanty
Affiliation:
International Institute for Population Sciences, Mumbai, India
*
*Corresponding author. Email: [email protected]

Abstract

The fertility–development relationship is bi-directional, context-specific, multi-phased and inconsistent over time. Indian districts provide an ideal setting to study this association due to their size, diversity and disparity in socioeconomic development. The objective of this study was to understand the association of fertility and socioeconomic development among the 640 districts of India. Data were drawn from multiple sources: Censuses of India 2001 and 2011; DLHS-2; NFHS-4; and other published sources. A district-level data file for Total Fertility Rate (TFR) and a set of developmental indices were prepared for the 640 districts for 2001 and 2016. Computation of a composite index (District Development Index, DDI), Ordinary Least Squares, Two Stage Least Squares and panel regressions were employed. By 2016, almost half of all Indian districts had attained below-replacement fertility, and 15% had a TFR of above 3.0. The DDI of India increased from 0.399 in 2001 to 0.511 by 2016 and showed large variations across districts. The correlation coefficient between TFR and DDI was –0.658 in 2001 and –0.640 in 2016. Districts with a DDI of between 0.3 and 0.6 in 2001 had experienced a fertility decline of more than 20%. The fertility–development relationship was found to be strongly negative, convex and consistent over time, but the level of association varied regionally. For any given level of DDI, fertility in 2016 was lower than in 2001; and the association was stronger in districts with a DDI below 0.45. The negative convex association between the two was prominent in the northern, central and eastern regions and the curves were flatter in the west, south and north-east. The increasing number of districts with low fertility and low development draws much attention. Some outlying districts in the north-eastern states had high TFR and high DDI (>0.6). Based on the findings, a multi-layered strategy in districts with low socioeconomic development is recommended. Additional investment in education, child health, employment generation and provisioning of contraceptives would improve the human development to achieve India’s demographic goals.

Type
Research Article
Copyright
© The Author(s) 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alkire, S and Foster, J (2011) Counting and multidimensional poverty measurement. Journal of Public Economics 95(7), 476487.CrossRefGoogle Scholar
Atkinson, T, Cantillon, B, Marlier, E and Nolan, B (2002) Social Indicators: The EU and Social Inclusion. Oxford University Press, Oxford.CrossRefGoogle Scholar
Barro, RJ and Lee, JW (2013) A new data set of educational attainment in the world, 1950–2010. Journal of Development Economics 104, 184198.CrossRefGoogle Scholar
Bhat, PM (1996) Contours of fertility decline in India: a district level study based on the 1991 census. In Srinivasan, K (ed.) Population Policy and Reproductive Health. Hindustan Publishing Corporation (India), New Delhi.Google Scholar
Bhattacharya, PC (2006) Economic development, gender inequality, and demographic outcomes: evidence from India. Population and Development Review 32(2), 263292.CrossRefGoogle Scholar
Bongaarts, J (2002) The end of the fertility transition in the developing world. Policy Research Division Working Paper No. 161. Population Council, New York.Google Scholar
Bongaarts, J and Watkins, SC (1996) Social interactions and contemporary fertility transitions. Population and Development Review 22(4), 639682.CrossRefGoogle Scholar
Bora, JK and Saikia, N (2018) Neonatal and under-five mortality rate in Indian districts with reference to Sustainable Development Goal 3: an analysis of the National Family Health Survey of India (NFHS), 2015–2016. PloS One 13(7), e0201125.CrossRefGoogle ScholarPubMed
Boudon, R (1983) Individual action and social change: a no-theory of social change. Hobhouse Memorial Lecture. British Journal of Sociology 34(1), 118.Google Scholar
Brinker, G and Amonker, R (2013) Socioeconomic development and fertility trends among the states of India. International Journal of Sociology and Social Policy 33(3/4), 229245.CrossRefGoogle Scholar
Bryant, J (2007) Theories of fertility decline and the evidence from development indicators. Population and Development Review 33(1), 101127.CrossRefGoogle Scholar
Bulatao, RA and Lee, RD (1983) An overview of fertility determinants in developing countries. In Bulata, RA and Lee, RD (eds) Determinants of Fertility in Developing Countries. Academic Press, New York.Google Scholar
Casterline, JB (2001) The pace of fertility transition: national pattern in the second half of the twentieth century. Population and Development Review 27 (Supplement: Global Fertility Transition), 1752.Google Scholar
Census of India (2001) Census of India 2001. Registrar General of India, Ministry of Home Affairs, Government of India. URL: https://censusindia.gov.in/Tables_Published/Tables_published.html Google Scholar
Census of India (2011) Census of India 2011. Registrar General of India, Ministry of Home Affairs, Government of India. URL: https://censusindia.gov.in/2011-Common/CensusData2011.html Google Scholar
Chatterjee, S and Mishra, US (2019) Educational development and disparities in india: district-level analyses. In Mohanty, SK, Mishra, US and Chauhan, RK (eds) The Demographic and Development Divide in India. Springer, Singapore, pp. 259328.CrossRefGoogle Scholar
Chu, CC (1998) Population Dynamics: A New Economic Approach. Oxford University Press on Demand.CrossRefGoogle Scholar
Cleland, J and Wilson, C (1987) Demand theories of the fertility transition: an iconoclastic view. Population Studies 41(1), 530.CrossRefGoogle Scholar
Coale, AJ and Watkins, S (1986) The Decline of European Fertility. Princeton University Press, Princeton.Google Scholar
Das, M and Mohanty, SK (2012) Spatial pattern of fertility transition in Uttar Pradesh and Bihar: a district level analysis. Genus 68(2), 81106.Google Scholar
Dreze, J and Murthi, M (2001) Fertility, education and development: evidence from India. Population and Development Review 27(1), 3363.CrossRefGoogle Scholar
Esping-Andersen, G and Billari, FC (2015) Re-theorizing family demographics. Population and Development Review 41(1), 131.CrossRefGoogle Scholar
Fox, J, Klüsener, S and Myrskylä, M (2019) Is a positive relationship between fertility and economic development emerging at the sub-national regional level? Theoretical considerations and evidence from Europe. European Journal of Population 35(3), 487518.Google ScholarPubMed
Furuoka, F (2009) Looking for a J-shaped development-fertility relationship: do advances in development really reverse fertility declines. Economics Bulletin 29(4), 30673074.Google Scholar
Galloway, PR, Hammel, EA and Lee, RD (1994) Fertility decline in Prussia, 1875–1910: a pooled cross-section time series analysis. Population Studies 48(1), 135158.CrossRefGoogle ScholarPubMed
Goldscheider, F, Bernhardt, E and Lappegård, T (2015) The gender revolution: a framework for understanding changing family and demographic behavior. Population and Development Review 41(2), 207239.CrossRefGoogle Scholar
Greene, WH (2012) Econometric Analysis, 7th edition. Prentice Hall, Upper Saddle River, NJ, pp. 1232.Google Scholar
Guilmoto, CZ (2000) The geography of fertility in India: 1981–1991. In Guilmoto, CZ and Vaguet, A (eds) Essays on Population and Space in India. Institut Français de Pondichéry, Pondicherry.CrossRefGoogle Scholar
Guilmoto, CZ (2005) Fertility decline in India: maps, models and hypotheses. In Guilmoto, CZ and Rajan, SI (eds) Fertility Transition in South India. Sage Publications, pp. 385435.Google Scholar
Guilmoto, CZ (2016) The past and future of fertility change in India. In Guilmoto, CZ and Jones, GW (eds) Contemporary Demographic Transformations in China, India and Indonesia. Springer Cham, New York, pp. 113132.CrossRefGoogle Scholar
Guilmoto, CZ and Rajan, SI (2002) District level estimates of fertility from India’s 2001 Census. Economic and Political Weekly, 37(7), 665672.Google Scholar
Guilmoto, CZ and Rajan, SI (2013) Fertility at the district level in India. Economic and Political Weekly 48(23), 5970.Google Scholar
Harttgen, K and Vollmer, S (2014) A reversal in the relationship of human development with fertility? Demography 51(1), 173184.CrossRefGoogle ScholarPubMed
Hirschman, C (1994) Why fertility changes. Annual Review of Sociology 20, 203233.CrossRefGoogle ScholarPubMed
IIPS and ICF (2017) National Family Health Survey (NFHS-4), 2015–16. International Institute for Population Sciences/ORC Macro International, Mumbai.Google Scholar
Kennedy, P (2003) A Guide to Econometrics. MIT Press.Google Scholar
Kumar, S and Sathyanarayana, KM (2012) District-level estimates of fertility and implied sex ratio at birth in India. Economic and Political Weekly 47(33), 6672.Google Scholar
Luci-Greulich, A and Thévenon, O (2014) Does economic advancement ‘cause’ a re-increase in fertility? An empirical analysis for OECD countries (1960–2007). European Journal of Population 30(2), 187221.Google Scholar
Malhotra, A, Vanneman, R and Kishor, S (1995) Fertility, dimensions of patriarchy, and development in India. Population and Development Review 21(2), 281305.CrossRefGoogle Scholar
Mason, KO (1997) Explaining fertility transitions. Demography 34(4), 443454.CrossRefGoogle ScholarPubMed
Mohanty, SK, Fink, G, Chauhan, R and Canning, D (2016a) Distal determinants of fertility decline: evidence from 640 Indian districts. Demographic Research 34, 373406.CrossRefGoogle Scholar
Mohanty, SK, Govil, D, Chauhan, RK, Kim, R and Subramanian, SV (2016b) Estimates of poverty and inequality in the districts of India, 2011–2012. Journal of Development Policy and Practice 1(2), 142202.CrossRefGoogle Scholar
Mohanty, SK and Rajbhar, M (2014) Fertility transition and adverse child sex ratio in districts of India. Journal of Biosocial Science 46(06), 753771.CrossRefGoogle ScholarPubMed
Murthi, M, Guio, AC and Dreze, J (1995) Mortality, fertility and gender bias in India: a district-level analysis, Population and Development Review 21(4), 745782.CrossRefGoogle Scholar
Myrskylä, M, Kohler, HP and Billari, FC (2011) High development and fertility: fertility at older reproductive ages and gender equality explain the positive link. MPIDR Working Paper WP 2011–017. Google Scholar
Myrskylä, M, Kohler, HP and Billari, FC (2009) Advances in development reverse fertility declines. Nature 460(7256), 741.CrossRefGoogle ScholarPubMed
ORGI (1997) District Level Estimates of Fertility and Child Mortality for 1991 and their Interrelations with Other Variables. Occasional Paper, 1997-1. Office of the Registrar General of India, New Delhi.Google Scholar
ORGI (2016) Sample Registration System Statistical Report 2016. Office of the Registrar General of India, New Delhi. URL: https://censusindia.gov.in/vital_statistics/SRS_Reports__2016.html Google Scholar
Pathak, KB and Murthy, PK (1984) A fresh look at the threshold hypothesis of fertility change in ESCAP region. Demography India 13(1–2), 153167.Google Scholar
Planning Commission of India (2014) Report of the Expert Group to Review the Methodology for Measurement of Poverty. Government of India, New Delhi.Google Scholar
Planning Commission, Government of Uttar Pradesh (2008) Human Development Report, Uttar Pradesh 2005. Planning Commission, Government of Uttar Pradesh, Lucknow.Google Scholar
Polybius (1997) On fertility control in Greece. Population and Development Review 23 ¸ 875876.CrossRefGoogle Scholar
Poston, DL (2000) Social and economic development and the fertility transitions in mainland China and Taiwan. Population and Development Review 26, 4060.Google Scholar
Potter, JE, Schmertmann, CP and Cavenaghi, SM (2002) Fertility and development: evidence from Brazil. Demography 39(4), 739761.CrossRefGoogle ScholarPubMed
Ryabov, I (2015) On the relationship between development and fertility: the case of the United States. Comparative Population Studies 40(4), 465488.CrossRefGoogle Scholar
Schoumaker, B (2013) A Stata module for computing fertility rates and TFRs from birth histories: tfr2. Demographic Research 28, 10931144.CrossRefGoogle Scholar
Shin, EH (1977) Socioeconomic development, infant mortality and fertility: a cross-sectional and longitudinal analysis of 63 selected countries. Journal of Development Studies 13(4), 398412.CrossRefGoogle Scholar
Singh, A, Kumar, K, Pathak, PK, Chauhan, RK and Banerjee, A (2017) Spatial patterns and determinants of fertility in India. Population 72(3), 505526.Google Scholar
UNDP (2019) Human Development Report 2019. Beyond Income, Beyond Averages, Beyond Today: Inequalities in Human Development in the 21st Century. Oxford University Press, New York.Google Scholar
United Nations (1995) World Urbanisation Prospects: The 1994 Revision . Annex Tables. United Nations, New York.Google Scholar
Wilson, C and Airey, P (1999) How can a homeostatic perspective enhance demographic transition theory? Population Studies 53(2), 117128.CrossRefGoogle Scholar
World Bank (2020) Gross Capital Formation GNI Per Capita, PPP. World Development Indicators, World Bank Group. URL: https://data.worldbank.org/indicator/NY.GNP.PCAP.PP.KD Google Scholar
YASHADA (2014) Maharashtra Human Development Report 2012. Yashwantrao Chavan Academy of Development. SAGE, New Delhi.Google Scholar