Does the Rise in Crime against Scheduled Tribes in States Like Chhattisgarh Contribute to the Growth of Maoist Activities?

  • Saptarshi Mondal and Sankha Brata Mitra
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  • Saptarshi Mondal

    Student at St. Xavier's University, Kolkata, W.B., India

  • Sankha Brata Mitra

    Student at St. Xavier's University, Kolkata, W.B., India

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Abstract

The socio-political landscape of Chhattisgarh is complex, with the intersection of Scheduled Tribe (ST) welfare and Maoist activities at its core. This report delves by analyzing data collected over several years, uncovering the systemic challenges faced by ST communities, and highlighting the influence of Maoist activities on their well-being. The analysis is rooted in data sourced from Governor's Reports and NCRB records from 2016 to 2022. These reports, while official, have shown signs of inaccuracy, including identical figures for FIR cases and cases resolved across multiple years, and significant portions of content being repeated year after year. Despite these challenges, the data offers a crucial window into the ongoing struggles and emerging patterns within the region. This report aims to: • Provide a detailed description of the data and the sources from which it was collected. • Outline the methods used for data preparation. • Utilize statistical tools to analyze the data. • Present the findings through tables, graphs, and charts, accompanied by in-depth analysis and interpretation. • Conclude with key findings, implications for ST welfare and security, and policy recommendations to improve the protection and development of ST communities while addressing Maoist insurgency. This analysis not only seeks to inform but also to inspire action—by policymakers, researchers, and social activists—to address the underlying issues that perpetuate violence and deprivation in Chhattisgarh's tribal regions.

Type

Research Paper

Information

International Journal of Legal Science and Innovation, Volume 7, Issue 2, Page 104 - 120

DOI: https://doij.org/10.10000/IJLSI.112352

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.

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