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Governance in fair share of revenues from extractives for affected communities: AHP analysis.

By: Sarangi, Pratima and Mishra, Ranjan.
Material type: materialTypeLabelBookPublisher: Administrative Development: A Journal of HIPA, Shimla Description: 9(2), Jul-Dec, 2022: p.37-53.Subject(s): Public Administration, Extractive Industries, Revenue Sharing, AHP Analysis, Mining Districts, Odisha, Jharkhand, Chhattisgarh, Poverty, Resource Governance, Center for Science and Environment (CSE), Backward Districts, Government, DMF, Revenues & fair, share, AHP analysis, Odisha In: Administrative Development: A Journal of HIPA, ShimlaSummary: This article examines governance challenges in ensuring fair revenue distribution from extractive industries to affected communities, using Analytic Hierarchy Process (AHP) analysis as a methodological framework. Despite enormous mineral deposits, Indian states such as Odisha, Jharkhand, and Chhattisgarh continue to show low per capita income and high poverty rates. A study conducted by the Center for Science and Environment (2008) revealed that of the 50 major mining districts, 60% are among the 150 most backward districts of the country. Notably, four mining districts—two from Odisha and one each from Jharkhand and Chhattisgarh—rank among the top 25 backward districts. The paper highlights how extractive wealth often fails to translate into local development, underscoring governance gaps in revenue sharing, institutional accountability, and community participation. By applying AHP analysis, the study provides insights into prioritizing policy interventions that balance economic growth with social justice, situating extractive governance within broader debates on equity, sustainability, and inclusive development. In India the states with enormous mineral deposits show low per capita income with high predominance of poverty according to study conducted by center for science and environment (2008) that of the 50 major mining districts, 60% figure are among the a 150 most backward districts of the country. Out of the four mining districts two from Odisha and one each from Jharkhand and Chhattisgarh which are among the top 25 backward districts of the country. – Reproduced
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Articles Articles Indian Institute of Public Administration
9(2), Jul-Dec, 2022: p.37-53 Available AR133510

This article examines governance challenges in ensuring fair revenue distribution from extractive industries to affected communities, using Analytic Hierarchy Process (AHP) analysis as a methodological framework. Despite enormous mineral deposits, Indian states such as Odisha, Jharkhand, and Chhattisgarh continue to show low per capita income and high poverty rates. A study conducted by the Center for Science and Environment (2008) revealed that of the 50 major mining districts, 60% are among the 150 most backward districts of the country. Notably, four mining districts—two from Odisha and one each from Jharkhand and Chhattisgarh—rank among the top 25 backward districts. The paper highlights how extractive wealth often fails to translate into local development, underscoring governance gaps in revenue sharing, institutional accountability, and community participation. By applying AHP analysis, the study provides insights into prioritizing policy interventions that balance economic growth with social justice, situating extractive governance within broader debates on equity, sustainability, and inclusive development. In India the states with enormous mineral deposits show low per capita income with high predominance of poverty according to study conducted by center for science and environment (2008) that of the 50 major mining districts, 60% figure are among the a 150 most backward districts of the country. Out of the four mining districts two from Odisha and one each from Jharkhand and Chhattisgarh which are among the top 25 backward districts of the country. – Reproduced

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