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Prasanta Kumar Roy ¹, Purnendu Sekhar Das ², Chiranjib Neogi ³

Affiliations
1 Department of Economics, Midnapore College, Midnapore, Paschim Medinapur 721101, West Bengal, IN
2 Vinod Gupta School of Management, IIT, Kharagpur, Paschim Medinapur, West Bengal, IN
3 Scientist, Economic Research Unit, ISI, Kolkata, IN

Abstract

According to the conventional 'Solow' residual approach or index number approach, the concept of technological progress and total factor productivity growth (TFPG) are used synonymously and TFPG is shown by solely shifting the production possibility frontier. But recent development of TFP estimation acknowledges that along with technological progress, changes in technical efficiency, economic scale effect and changes in allocative efficiency also contribute to productivity growth. The study applies a stochastic frontier production approach to decompose the sources of TFPG of the total organized manufacturing industries in fifteen major industrialized states in India as well as in all-India into four afore-mentioned components during the period from 1981-1982 to 2010-2011, during the entire period, during the pre-reform period (1981-1982 to 1990-1991) and post-reform period (1991-1992 to 2010- 2011), and also during two different decades of the post-reform period, i.e., 1991-1992 to 2000-2001 and 2001-2002 to 2010-2011. According to the estimated results, technological progress (TP) is the main contributor to the TFPG of the organized manufacturing from 1981-1982 to 2010-2011. But the TFPG declined during the post-reform period which is accounted for by the decline in TP.

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Shrabanti Maity ¹, Chiranjib Neogi ²

Affiliations
1 Assam University, Silchar, Assam 788011, IN
2 Indian Statistical Institute, Kolkata, West Bengal 700108, IN

Abstract

A stochastic frontier production function is defined for panel data on firms in which the non-negative technical inefficiency effects are assumed to be a function of firm-specific variables. The inefficiency effects are assumed to be independently distributed as truncations of normal distributions with constant variance, but with means which are a linear function of observable variables. An empirical application of the model is obtained using up to ten years of data on tea gardens of Assam and West Bengal.

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Chiranjib Neogi

Abstract

This paper attempts to analyse Quantitatively the pattern of structural changes in Indian Corporate sector during the post-Independence era. A priori, the process of structural change may be ascribed to two factors, namely the Internal dynamism of the Indian industrial sector itself, and the factors external to the process and the observed pattern of structural change may be brought about by the mutual effect of these two factors. The primary objective of the present paper is to estimate the relative importance of these two factors in bringing about the observed pattern of changes in the industrial structure. The analysis is based on the data available in the Calcutta Stock Exchange Blue Books over the years 1951 to 1980. The results of the categorical data analysis technique used for the purpose of the present analysis indicate that there has been a definite structural tilt toward new modern industries from the old traditional industries and this structural metamorphosis is largely due to the external policy intervention.

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