IDEAS home Printed from https://ideas.repec.org/a/taf/ginixx/v33y2007i3p217-242.html
   My bibliography  Save this article

Saving the Next Generation: Political Capacity and Infant Mortality Decline in India's States

Author

Listed:
  • Siddharth Swaminathan
  • John Thomas

Abstract

National political development and its effect on economic and demographic changes are topics extensively addressed by power transition theory. Studies in political demography demonstrate that the political capacity of national governments plays a critical role in altering mortality and fertility patterns in developing nations. We test the effects of political capacity on infant mortality rates in fifteen Indian states in the period 1981 to 2000. We find that the political capacity of a state government lowers infant mortality in the low and middle income states. This effect gets weaker across higher income levels. We also find that the wealthier states tend to be healthier. Female education exerts a negative effect on infant mortality within urban populations but its effects diminish in rural populations. A key implication of our study is that the politically capable states in India are positioned to complete the demographic transition and are likely to emerge as the regional drivers of economic growth. Sustained gains in economic productivity will eventually determine India's role in world politics in the twenty-first century.

Suggested Citation

  • Siddharth Swaminathan & John Thomas, 2007. "Saving the Next Generation: Political Capacity and Infant Mortality Decline in India's States," International Interactions, Taylor & Francis Journals, vol. 33(3), pages 217-242, July.
  • Handle: RePEc:taf:ginixx:v:33:y:2007:i:3:p:217-242
    DOI: 10.1080/03050620701449017
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03050620701449017
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03050620701449017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rowland, Donald T., 2003. "Demographic Methods and Concepts," OUP Catalogue, Oxford University Press, number 9780198752639.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Boussalis, Constantine & Nelson, Hal T. & Swaminathan, Siddharth, 2012. "Towards comprehensive malaria planning: The effect of government capacity, health policy, and land use variables on malaria incidence in India," Social Science & Medicine, Elsevier, vol. 75(7), pages 1213-1221.
    2. Nelson, Hal T., 2012. "Lost opportunities: Modeling commercial building energy code adoption in the United States," Energy Policy, Elsevier, vol. 49(C), pages 182-191.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Johann Fuchs & Doris Söhnlein & Brigitte Weber & Enzo Weber, 2018. "Stochastic Forecasting of Labor Supply and Population: An Integrated Model," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(1), pages 33-58, February.
    2. James Raymer & Andrei Rogers, 2007. "Using age and spatial flow structures in the indirect estimation of migration streams," Demography, Springer;Population Association of America (PAA), vol. 44(2), pages 199-223, May.
    3. -, 2016. "The development of population projections for the Turks and Caicos Islands 2012-2027," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 40406, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    4. Lisa Denny, 2018. "Decomposition: population ageing at a sub-national level using Tasmania, Australia as a case study," Journal of Population Research, Springer, vol. 35(2), pages 151-167, June.
    5. Fuchs, Johann & Söhnlein, Doris & Weber, Brigitte & Weber, Enzo, 2017. "Forecasting labour supply and population: an integrated stochastic model," IAB-Discussion Paper 201701, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Tom Wilson, 2022. "Preparing local area population forecasts using a bi-regional cohort-component model without the need for local migration data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(32), pages 919-956.
    7. Lena Karlsson, 2017. "Indigenous Infant Mortality by Age and Season of Birth, 1800–1899: Did Season of Birth Affect Children’s Chances for Survival?," IJERPH, MDPI, vol. 15(1), pages 1-12, December.
    8. Merab Putkaradze & George Abuselidze & Landa Putkaradze, 2020. "Political And Social-Economic Aspects Of Changes In Age And Gender Structure Of Population Of Georgia," Economics and Management, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 17(1), pages 89-98.
    9. Javier Vazquez Grenno, 2010. "Spanish pension system: Population aging and immigration policy," Hacienda Pública Española / Review of Public Economics, IEF, vol. 195(4), pages 37-64, december.
    10. Rebecca Folkman Gleditsch & Astri Syse, 2020. "Ways to project fertility in Europe. Perceptions of current practices and outcomes," Discussion Papers 929, Statistics Norway, Research Department.
    11. Ernestina Coast & Alex Fanghanel & Eva Lelièvre & Sara Randall, 2016. "Counting the Population or Describing Society? A Comparison of English and Welsh and French Censuses," European Journal of Population, Springer;European Association for Population Studies, vol. 32(2), pages 165-188, May.
    12. Clifford Odimegwu & Marifa Muchemwa & Joshua O. Akinyemi, 2023. "Systematic review of multilevel models involving contextual characteristics in African demographic research," Journal of Population Research, Springer, vol. 40(2), pages 1-29, June.
    13. Ørnulf Borgan & Nico Keilman, 2019. "Do Japanese and Italian Women Live Longer than Women in Scandinavia?," European Journal of Population, Springer;European Association for Population Studies, vol. 35(1), pages 87-99, February.
    14. Catherine Tucker & Jennifer Van Hook, 2013. "Surplus Chinese Men: Demographic Determinants of the Sex Ratio at Marriageable Ages in China," Population and Development Review, The Population Council, Inc., vol. 39(2), pages 209-229, June.
    15. Tom Wilson, 2016. "Evaluation of Alternative Cohort-Component Models for Local Area Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(2), pages 241-261, April.
    16. Bowles, David & Zuchandke, Andy, 2012. "Entwicklung eines Modells zur Bevölkerungsprojektion - Modellrechnungen zur Bevölkerungsentwicklung bis 2060," Hannover Economic Papers (HEP) dp-499, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    17. Tony Sorensen, 2014. "Forecasting in social science research: imperatives and pitfalls," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 12, pages 210-235, Edward Elgar Publishing.
    18. John A. Doces, 2011. "Globalization and Population: International Trade and the Demographic Transition," International Interactions, Taylor & Francis Journals, vol. 37(2), pages 127-146, April.
    19. Robalino-López, Andrés & Mena-Nieto, Ángel & García-Ramos, José-Enrique & Golpe, Antonio A., 2015. "Studying the relationship between economic growth, CO2 emissions, and the environmental Kuznets curve in Venezuela (1980–2025)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 602-614.
    20. Yoonyoung Choi, 2022. "A decomposition of declining crude birth rate in South Korea, 1990–2015," Journal of Population Research, Springer, vol. 39(3), pages 373-389, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:ginixx:v:33:y:2007:i:3:p:217-242. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GINI20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.