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Mapping the Components of Human Development

In: Contouring Human Development

Author

Listed:
  • Mukunda Mishra

    (Dr. Meghnad Saha College)

  • Soumendu Chatterjee

    (Presidency University)

Abstract

Blocks are important administrative units below the district that disseminate crucial roles in designing, supervising, monitoring as well as evaluating the state-sponsored planning processes. As the present study primarily focuses on assessing the disparity in terms of human development at the micro-spatial scale of investigation, it attempts to examine the inequality issues with block-level datasets of two consecutive census years, 2001 and 2011. Principal Component Analysis (PCA) identifies the variables explaining most variation within a given dataset. As the sub-district-level administrative units are concerned and the sets of input variables account for the issue of development, PCA can identify the variables explaining mostly the variation of development. This chapter will try to analyze the spatial pattern of human development with a range of 25 variables indicating different dimensions of human development using block-level datasets. The use of PCA will reduce the dimension to a manageable form, worth for a logical interpretation of the development scenario existing therein. The outcome of the analysis is significant that sets the direction for future analyses of human development in the district.

Suggested Citation

  • Mukunda Mishra & Soumendu Chatterjee, 2020. "Mapping the Components of Human Development," Springer Books, in: Contouring Human Development, chapter 0, pages 91-120, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-4083-7_4
    DOI: 10.1007/978-981-15-4083-7_4
    as

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