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Measuring micro spatial inequality of human development with the application of Principal Component Analysis (PCA) a study in Purulia District, West Bengal, India

Author Affiliations

  • 1Dr. Meghnad Saha College, Itahar, Uttar Dinajpur, West Bengal, India
  • 2Presidency University, Kolkata, West Bengal, India

Int. Res. J. Social Sci., Volume 6, Issue (1), Pages 19-35, January,14 (2017)

Abstract

The investigation of unequal spatial distribution of human development is a dynamic research interest in the arena of social sciences. Gradual pluralistic trend of the measurement of human development leads to utilization of wider range of variables for the statistical analysis of the levels of human development over space. Principal Component Analysis (PCA) is a statistical device, popularly used for reducing the dimensions of contributing variables for reaching to a rational conclusion. The present study uses this technique for the block level analysis of inequality in human development in the district of Purulia, one of the most backward district in the western part of Indian state of West Bengal.

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