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Impact of Infrastructure Availability on Industrial Development- a Micro and Macro Level Analysis for Resource Rich State of Jharkhand, India


Affiliations
1 Department of Architecture, Birla Institute of Technology, Mesra, Ranchi – 835215, India
 

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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  • Impact of Infrastructure Availability on Industrial Development- a Micro and Macro Level Analysis for Resource Rich State of Jharkhand, India

Abstract Views: 212  |  PDF Views: 0

Authors

Bimal Chandra Roy
Department of Architecture, Birla Institute of Technology, Mesra, Ranchi – 835215, India
Satyaki Sarka
Department of Architecture, Birla Institute of Technology, Mesra, Ranchi – 835215, India

Abstract


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



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i5%2F130627