The study employs the panel data of 15 hi-tech industries over the period of 2000-2010 in order to examine the effectiveness of R&D with respect to productivity change and indentify the significant contributing factors with intensity in the Chinese hi-tech sector. The Malmquist Productivity...

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...

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....

In this paper we construct thirteen different types of composite indices by linear combination of indicator variables (with and without outliers/data corruption). Weights of different indicator variables are obtained by maximization of the sum of squared (and, alternatively, absolute)...

The classical canonical correlation analysis is extremely greedy to maximize the squared correlation between two sets of variables. As a result, if one of the variables in the dataset-1 is very highly correlated with another variable in the dataset-2, the canonical correlation will be very high...

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...

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...

Meghalaya, a state in the North Eastern India, is inhabited by over 2.3 million of population of which 70 percent are Christian, 13 percent are Hindus and a little over 4 percent are Muslims as obtained in the Census 2001. In this study we investigate if numerical dominance of a community leads...

Pena’s method of construction of a synthetic indicator is very sensitive to the order in which the constituent variables (whose linear aggregation yields the synthetic indicator) are arranged. Due to this, Pena’s method can at present give only an arbitrary synthetic indicator whose...