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Prevalence and determinants of intimate partner violence under a corona virus situation: technical efficiency analysis across Indian states and union territories

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  • Shrabanti Maity

    (Vidyasagar University)

Abstract

This study attempted to determine how political engagement, accreditation, and female autonomy controlled intimate partner violence (IPV) in the COVID-19 scenario. The empirical investigation used published statistics on IPV for 27 Indian states and two union territories. The investigation used methods such as principal component analysis, the technical inefficiency effects model, and nonparametric analysis of variance (ANOVA). The results showed that Odisha, West Bengal, Uttarakhand, and Chhattisgarh were the states most efficient in regulating IPV. The Judiciary and Public Safety Score, female autonomy, and political involvement and accreditation, as evaluated based on female Members of Parliament (MPs) and Members of the Legislative Assembly (MLAs), are the most important factors in minimizing state-managed inefficiency. The study concludes with pertinent conclusions, some policy recommendations, and a focus on the trajectory of future research.

Suggested Citation

  • Shrabanti Maity, 2024. "Prevalence and determinants of intimate partner violence under a corona virus situation: technical efficiency analysis across Indian states and union territories," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04313-6
    DOI: 10.1057/s41599-024-04313-6
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    References listed on IDEAS

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    1. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    2. Jayati Ghosh, 2020. "A critique of the Indian government’s response to the COVID-19 pandemic," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 519-530, September.
    3. Carol B. Cunradi, 2010. "Neighborhoods, Alcohol Outlets and Intimate Partner Violence: Addressing Research Gaps in Explanatory Mechanisms," IJERPH, MDPI, vol. 7(3), pages 1-15, March.
    4. Schafer, J. & Caetano, R. & Clark, C.L., 1998. "Rates of intimate partner violence in the United States," American Journal of Public Health, American Public Health Association, vol. 88(11), pages 1702-1704.
    5. 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).
    6. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    7. Koenig, M.A. & Stephenson, R. & Ahmed, S. & Jejeebhoy, S.J. & Campbell, J., 2006. "Individual and contextual determinants of domestic violence in North India," American Journal of Public Health, American Public Health Association, vol. 96(1), pages 132-138.
    8. Amber Peterman & Alina Potts & Megan O'Donnell & Kelly Thompson & Niyati Shah & Sabine Oertelt-Prigione & Nicole van Gelder, 2020. "Pandemics and Violence Against Women and Children," Working Papers 528, Center for Global Development.
    9. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    10. Raghabendra Chattopadhyay & Esther Duflo, 2004. "Women as Policy Makers: Evidence from a Randomized Policy Experiment in India," Econometrica, Econometric Society, vol. 72(5), pages 1409-1443, September.
    11. 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.
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