This paper answers the puzzling questions that why under the similar set of economic conditions service sector in India grew while manufacturing could not and how economic reforms in 1990s accelerated the productivity growth. The paper provides a very innovative and convincing explanation. Two...

Studies on Indian manufacturing have been unable to provide consistent estimates of productivity and its growth rates. This paper performs detailed and exhaustive set of accounting exercises for the period 1970-2003 using production function, index number and envelopment analysis methods. TFP...

The Malmquist productivity index is one of the best known and most widely used measures in the economic literature to quantify and decompose changes in productivity of multi-input multi-output production processes over time. Two main approaches are used to calculate this index: the adjacent...

The conventional estimate of technological progress and aggregate productivity growth, the total factor productivity, or TFP, can be upwardly biased if environmental externalities generated during the production processes are not accounted for. In this paper, we revisit TFP growth rates across...

This paper models the firm's production process as a system of simultaneous technologies for desirable and undesirable outputs. Desirable outputs are produced by transforming inputs via the conventional transformation function, whereas (consistent with the material balance condition) undesirable...

The paper analyzes Switzerland’s improvement in standard of living over the year 1960-2008. The paper utilizes index number and Translog production framework approach developed by Diewert, Lawrence, Wales, Morrison, Kohli and others. First a standard TFP measure is computed using index number...

Shephard’s distance functions are widely used instruments for characterizing technology and for estimating efficiency in contemporary economic theory and practice. Recently, they have been generalized by the Luenberger shortage function, or Chambers-Chung-Färe directional distance function....

This paper demonstrates that if we intend to optimally rank order n objects (candidates) each of which has m attributes or rank scores awarded by m evaluators, then the ordinal ranking of objects by the conventional principal component based factor scores turns out to be suboptimal. Three...

Rank-ordering of individuals or objects on multiple criteria has many important practical applications. A reasonably representative composite rank ordering of multi-attribute objects/individuals or multi-dimensional points is often obtained by the Principal Component Analysis, although much...

In this paper we have proposed a method to conduct the ordinal canonical correlation analysis (OCCA) that yields ordinal canonical variates and the coefficient of correlation between them, which is analogous to (and a generalization of) the rank correlation coefficient of Spearman. The ordinal...