Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i5/75981
Year: 2016, Volume: 9, Issue: 5, Pages: 1-7
Original Article
Bimal Chandra Roy* and Satyaki Sarkar
Department of Architecture, Birla Institute of Technology, Mesra, Ranchi – 835215, India; [email protected], [email protected]
*Author For Correspondence
Bimal Chandra Roy Department of Architecture, Birla Institute of Technology, Mesra, Ranchi – 835215, India; [email protected]
Most of the relevant researches conducted so far, have been at national or state level, either to find out the ranking of the states or how these rankings have changed over time. Assumption of the whole state area as a homogeneous unit is not true, and this study feels that the ‘District’ should be the level at which the research should be based. The paper formulates different composite indices using Principal Component Analysis (PCA) technique. Various development models formulated tries to analyze the impact of various infrastructures on level of industrial development using multivariate OLS regression techniques. The results show that the availability of Physical Infrastructure (PI) and Social Infrastructure (SI) are comparatively in a better condition. However, Banking Infrastructure (BI) needs immediate intervention.
Keywords: Infrastructure, Industrial Development, Principal Component, Regression, Resource Rich State
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