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Women's political leadership and efficiency in reducing COVID-19 death rate: An application of technical inefficiency effects model across Indian states

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  • Maity, Shrabanti
  • Barlaskar, Ummey Rummana

Abstract

Evidence from earlier studies on COVID-19 suggests that the countries led by female leaders were more successful in handling the COVID-19. India being a patrilocal society evident that women's political autonomy in the Gram Panchayat does miracles concerning development. With this backdrop, the present paper aims to explore the role of women's political participation and leadership on the efficiency in reducing the COVID-19 death rate for Indian states. This predominantly empirical paper is entirely based on secondary data compiled from different sources. The empirical analysis of the paper is facilitated by the utilization of the Technical Inefficiency Effects model within the framework of Stochastic Production Frontier. The empirical results accredit us to conclude that the efficiency of the Indian states in reducing the COVID-19 death rate is highly influenced by female political participation and leadership, digitalization, urbanization, and literacy rate. The study ends with suitable policy prescriptions.

Suggested Citation

  • Maity, Shrabanti & Barlaskar, Ummey Rummana, 2022. "Women's political leadership and efficiency in reducing COVID-19 death rate: An application of technical inefficiency effects model across Indian states," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    • Handle: RePEc:eee:soceps:v:82:y:2022:i:pb:s0038012122000416
    DOI: 10.1016/j.seps.2022.101263
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    1. repec:bla:devpol:v:23:y:2005:i:2:p:145-163 is not listed on IDEAS
    2. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    3. Kumbhakar, Subal C., 1991. "Estimation of technical inefficiency in panel data models with firm- and time-specific effects," Economics Letters, Elsevier, vol. 36(1), pages 43-48, May.
    4. Leah C Windsor & Gina Yannitell Reinhardt & Alistair J Windsor & Robert Ostergard & Susan Allen & Courtney Burns & Jarod Giger & Reed Wood, 2020. "Gender in the time of COVID-19: Evaluating national leadership and COVID-19 fatalities," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-26, December.
    5. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    6. Shrabanti Maity & Chiranjib Neogi, 2014. "Production of Tea in Assam and West Bengal: Technical Inefficiency Effects," Artha Vijnana, Gokhale Institute of Politics and Economics, vol. 56(4), pages 479-499.
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