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Dacoity in India: Investigating Thievery and Banditry in the British Raj’s Jewel

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Asia-Pacific Security Challenges

Abstract

Despite continued anti-banditry efforts, the problem of dacoity persists in India today. Although it has a long history in the subcontinent, relatively little quantitative work has been done on the topic. Using official crime data published by the Government of India and information in the Census of India, this study seeks to evaluate the impact of state-level factors on the prevalence of dacoit crimes in India using multilevel modeling. Certain state-level characteristics do, with statistical significance, impact the prevalence of dacoit crimes in India. Using this analysis as a framework, this study evaluates the importance of characteristics within Indian society that allow the practice of dacoity to continue in quite large numbers. The study seeks to provide Indian decision-makers with new insight to evaluate potential mechanisms to finally bring this century-old criminal activity to an end. By understanding what characteristics increase the likelihood of dacoity, decision-makers will be better positioned to shape effective tools for countering these actions. This research impacts the greater region, not just India. Banditry has a rich and lucrative history throughout South Asia. An empirical study in Indian banditry can provide insights for other states to counter their manifestations of the same problem.

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Notes

  1. 1.

    For further justification of this phenomenon, see: (Omari 2015).

  2. 2.

    In line with this past research, the current study also includes descriptive statistics of the Dacoity variable, as shown in Table 2.

  3. 3.

    For more detail on the dacoit intelligence system in Pakistan, please see: (Sahito et al. 2009, pg. 307–308).

  4. 4.

    For the full sampling strategy of the Census of India, please refer to: http://censusindia.gov.in/Vital_Statistics/SRS/Sample_Registration_System.aspx#3 (Ministry of Home Affairs).

  5. 5.

    This assumption was verified using a test for overdispersion in the R statistical analysis platform.

  6. 6.

    Due to the non-significant nature of the findings, the exact coefficient is not meaningful to the discussion. Instead, the almost significant association is of importance for future work on this topic. However, regression coefficients can be found in Table 3.

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Dmello, J.R. (2018). Dacoity in India: Investigating Thievery and Banditry in the British Raj’s Jewel. In: Masys, A., Lin, L. (eds) Asia-Pacific Security Challenges. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-61729-9_13

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