Porag Pachoni

PhD Scholar, Department of Commerce, Dibrugarh University, Assam

Prof. Ashit Saha

Professor, Department of Commerce, Dibrugarh University, Dibrugarh – 786004, Assam

Abstract

The study attempts to find out the production causes of sickness of the paper mills of Assam through a structured questionnaire method randomly circulated among the sample respondents. The exploratory factor analysis of the multivariate statistical technique, the principal component analysis with varimax rotation was applied over nine items of production causes. The result shows that the final factor solution is explained by the first factor as “inadequate production means and input” which consists of PC-3: shortage of raw material due to non-availability at source, PC-2: old and obsolete plant & machineries due to timely renovation, PC-5: inadequate availability of coal as an energy source, and PC-4: problem in procurement of production input due to poor connectivity with the highest factor loadings. Factor 1 explains the 47.416% of production causes. Then, the second factor is entailed of item PC7: low-capacity utilisation of plant and termed as “Poor Productivity”. This factor along with the first factor explains up to 67.90 % of the variance. The final factors are depicted in scree plot and path diagram. Thus, the 67.90 % of the variance in production causes of sickness in paper mills of Assam is stated by the inadequate production means and input and poor productivity. Though, there might be some other production causes which are not covered by the study due to the limitation of the sample.

Keywords- Industrial sickness, sample demographic, production causes, principal component factor