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The dynamics of fertility, family planning and female education in a developing economy

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  • Abul Masih
  • Rumi Masih

Abstract

Unlike most empirical works on fertility analysis, this study is the first attempt to analyse the dynamics of fertility and its determinants with a particular focus on the role played by female education and family planning programmes in the context of a traditional society. The analysis is based on the application of the following dynamic time-series techniques in a multivariate context: cointegration, vector error-correction modelling and variance decompositions. These 'dynamic' tools are recently developed and hitherto untried in fertility analysis in the context of a poor developing economy, such as India. The results based on the above most recently developed methodology, broadly indicate that in the complex dynamic interactions, the importance of conventional 'structural' hypothesis as a 'Granger-causal' factor in bringing fertility down in the longer term cannot be denied. However, overall, in the short to long term, the findings appear to be more consistent with the recent 'ideational' hypothesis (emphasizing the critical role played by the two policy variables in the analysis- i.e. changes in the female secondary enrolment ratios, and family planning programmes- to ensure 'initial' fertility decline) than with the conventional 'structural' hypothesis (emphasizing a significant socio-economic structural change as a pre-condition for 'initial' fertility decline).

Suggested Citation

  • Abul Masih & Rumi Masih, 2000. "The dynamics of fertility, family planning and female education in a developing economy," Applied Economics, Taylor & Francis Journals, vol. 32(12), pages 1617-1627.
  • Handle: RePEc:taf:applec:v:32:y:2000:i:12:p:1617-1627
    DOI: 10.1080/000368400419005
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    Cited by:

    1. Daphne H. Liu & Adrian E. Raftery, 2020. "How Do Education and Family Planning Accelerate Fertility Decline?," Population and Development Review, The Population Council, Inc., vol. 46(3), pages 409-441, September.
    2. Frini, Olfa & Muller, Christophe, 2012. "Demographic transition, education and economic growth in Tunisia," Economic Systems, Elsevier, vol. 36(3), pages 351-371.
    3. Jaime Vallés Giménez & Anabel Zárate Marco, 2005. "La influencia de la deducción por descendientes en el tamaño de la familia. Un ejercicio con microdatos para España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 175(4), pages 61-101, december.
    4. Francisco Climent Diranzo & Robert Meneu Gaya, "undated". "Relaciones de equilibrio entre demografía y crecimiento económico en Espana," Studies on the Spanish Economy 163, FEDEA.
    5. Claude Diebolt & Cédric Doliger, 2005. "Becker vs. Easterlin. Education, Fertility and Growth in France after World War II," Working Papers 05-03, Association Française de Cliométrie (AFC).
    6. Paresh Kumar Narayan & Xiujian Peng, 2006. "An Econometric Analysis of the Determinants of Fertility for China, 1952-2000," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(2), pages 165-183.
    7. Yamamura, Eiji & Antonio R, Andrés, 2011. "Trust and Fertility: Evidence from OECD countries," MPRA Paper 29978, University Library of Munich, Germany.
    8. Chor Foon Tang & Nai-Peng Tey, 2017. "Low fertility in Malaysia: Can it be explained?," Journal of Population Research, Springer, vol. 34(2), pages 101-118, June.
    9. Narayan, Paresh Kumar & Peng, Xiujian, 2007. "Japan's fertility transition: Empirical evidence from the bounds testing approach to cointegration," Japan and the World Economy, Elsevier, vol. 19(2), pages 263-278, March.
    10. Thirunaukarasu Subramaniam & Nanthakumar Loganathan & Evelyn S. Devadason, 2018. "Determinants Of Female Fertility In Asean-5: Empirical Evidence From Bounds Cointegration Test," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(03), pages 593-618, June.
    11. Paresh Kumar Narayan, 2006. "Determinants of Female Fertility in Taiwan, 1966–2001: Empirical Evidence from Cointegration and Variance Decomposition Analysis," Asian Economic Journal, East Asian Economic Association, vol. 20(4), pages 393-407, December.
    12. Awad Atif & Yussof Ishak, 2017. "Factors Affecting Fertility – New Evidence from Malaysia," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 36(36), pages 7-20, June.

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