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

Shrabanti Maity ()
Additional contact information
Shrabanti Maity: Vidyasagar University

Palgrave Communications, 2024, vol. 11, issue 1, 1-12

Abstract: 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.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1057/s41599-024-04313-6 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04313-6

Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about

DOI: 10.1057/s41599-024-04313-6

Access Statistics for this article

More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().