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Variation in neonatal mortality rates and its socio-economic determinants in South Asian countries

Author

Listed:
  • Debabrata Mukhopadhyay

    (West Bengal State University)

  • Nityananda Sarkar

    (Indian Statistical Institute)

Abstract

This paper primarily focuses on studying the regional disparities prevailing in neonatal mortality rate over time and then determining the socio-economic factors, especially those related to health, which could explain the variation in neonatal mortality rates in the countries belonging to the South Asian region. This study first investigates the temporal movement of spatial variation in neonatal mortality rate across the eight South Asian countries using three well-known measures of dispersion/inequality, namely, standard deviation, coefficient of variation and the Gini-coefficient. It is found that this variation has increased over the last two decades. To determine country-level socioeconomic factors explaining variation in neonatal mortality rates in these countries, a static panel regression model is used. The country-level characteristics considered include economic well-being, health financing, quality of health governance, mothers’ nutritional status, level of post-natal care, basic sanitation facilities, and also air quality. The results show that air quality (as measured by CO2 emission per capita), and change (over the preceding year) in access to basic sanitation facilities play significant roles in explaining temporal as well as spatial variations in neonatal mortality rate in all the South Asian countries.

Suggested Citation

  • Debabrata Mukhopadhyay & Nityananda Sarkar, 2021. "Variation in neonatal mortality rates and its socio-economic determinants in South Asian countries," SN Business & Economics, Springer, vol. 1(6), pages 1-18, June.
  • Handle: RePEc:spr:snbeco:v:1:y:2021:i:6:d:10.1007_s43546-021-00076-3
    DOI: 10.1007/s43546-021-00076-3
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    References listed on IDEAS

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    1. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. Kenneth Hill & Yoonjoung Choi, 2006. "Neonatal mortality in the developing world," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(18), pages 429-452.
    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    4. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    5. Agha, Sohail, 2000. "The determinants of infant mortality in Pakistan," Social Science & Medicine, Elsevier, vol. 51(2), pages 199-208, July.
    6. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    7. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    8. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Neonatal mortality rate; Health financing; Quality of health governance; Health infrastructure; Panel data analysis;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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