Hostname: page-component-745bb68f8f-f46jp Total loading time: 0 Render date: 2025-01-09T20:19:51.371Z Has data issue: false hasContentIssue false
  • English
  • Français

LOW FERTILITY IN DEVELOPING COUNTRIES: CAUSES AND IMPLICATIONS

Published online by Cambridge University Press:  21 November 2017

Saseendran Pallikadavath ,
S. Irudaya Rajan  and
Chris Wilson
Saseendran Pallikadavath*
Affiliation:
Portsmouth-Brawijaya Centre for Global Health, Population, and Policy, University of Portsmouth, UK University of Brawijaya, Malang, Indonesia
S. Irudaya Rajan
Affiliation:
Centre for Development Studies, Trivandrum, India
Chris Wilson
Affiliation:
Nuffield College, University of Oxford, UK
*
1Corresponding author. Email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Introduction
Information
Journal of Biosocial Science , Volume 49 , Special Issue S1: Low Fertility in Developing Countries: Causes and Implications , November 2017 , pp. S1 - S3
Copyright
Copyright © Cambridge University Press, 2017 

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

Arunachalam, D., Navaneetham, K. & Forrest, W. (2017) Political boundary versus social context: dynamics of socioeconomic differentials in fertility in Indian states. Journal of Biosocial Science 49(S1), S156–S171.CrossRefGoogle ScholarPubMed
Castanheira, H. C. & Kohler, H.-P. (2017) Social determinants of low fertility in Brazil. Journal of Biosocial Science 49(S1), S131–S155.CrossRefGoogle ScholarPubMed
Odimegwu, C. & Adedini, S. A. (2017) The role of community structure in shaping African fertility pattern: evidence from Demographic and Health Surveys. Journal of Biosocial Science 49(S1), S46–S61.CrossRefGoogle ScholarPubMed
Pallikadavath, S. & Wilson, C. (2005) A paradox within a paradox: scheduled caste fertility in Kerala. Economic and Political Weekly 40(28), 3085–3093.Google Scholar
Perera, E. L. S. J. (2017) Fertility transition in Sri Lanka: is it a temporary phenomenon? Journal of Biosocial Science 49(S1), S166–S130.CrossRefGoogle ScholarPubMed
Santhya, K. G. & Zavier, A. J. F. (2017) Sibling size and young women’s transitions to adulthood in India. Journal of Biosocial Science 49(S1), S74–S95.CrossRefGoogle Scholar
Sobotka, T. (2017) Post-transitional fertility: the role of childbearing postponement in fuelling the shift to low and unstable fertility levels. Journal of Biosocial Science 49(S1), S20–S45.CrossRefGoogle ScholarPubMed
Spoorenberg, T. (2017) After fertility’s nadir? Ethnic differentials in parity-specific behaviours in Kyrgyzstan. Journal of Biosocial Science 49(S1), S62–S73.CrossRefGoogle ScholarPubMed
Sujarwoto, S. (2017) Small family norms and family well-being in Indonesia, 2006–2014. Journal of Biosocial Science 49(S1), S96–S115.CrossRefGoogle ScholarPubMed
United Nations (2013) World Fertility Report 2013: Fertility at the Extremes. Department of Economic and Social Affairs, Population Division ST/ESA/SER.A/331. URL: http://www.un.org/en/development/desa/population/publications/pdf/fertility/worldFertilityReport2013.pdf Google Scholar
United Nations (2015) World Fertility Patterns. URL: http://www.un.org/en/development/desa/population/publications/pdf/fertility/world-fertility-patterns-2015.pdf Google Scholar
Zhao, Z., Xu, Q. & Yuan, X. (2017) Far below replacement fertility in urban China. Journal of Biosocial Science 49(S1), S4–S19.CrossRefGoogle ScholarPubMed