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September 10, 2025International Research Journal of Multidisciplinary ScopeOpen Access

What Determines Household Multidimensional Energy Poverty? A Study of the Rural Jagatsinghpur District of Odisha

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Authors

SSSubhransu Ranjan SamantarayMSMinaketan SarangiSMSantosh Kumar Mishra

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Overview

Household analysis reveals 69% are energy-poor in Jagatsinghpur, suggesting socioeconomic factors impact energy access.

Key Points

  • About 69% of households in the study are found to be multidimensionally energy-poor.
  • The study identifies a negative correlation between educational level and household energy poverty.
  • Larger household sizes are linked to higher levels of multidimensional energy poverty.
  • Regional disparities in energy poverty were noted across different blocks in Jagatsinghpur.

Cite This Study

Samantaray et al. (2025) studied this question.

synapsesocial.com/papers/68c1b80c54b1d3bfb60ebb89https://doi.org/10.47857/irjms.2025.v06i03.04736
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Also Consider

Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Regional disparity in energy poverty: A spatial analysis of Odisha2024 · 6 citations
  2. 2Energy poverty assessment: Indicators and implications for developing and developed countries2024 · 128 citations