ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

Articles by P C SarkerSubscribe to P C Sarker

Gender-Related Development Index for Indian States-Methodological Issues

This paper draws attention to the problems associated with the construction of a GDI at the sub-national level in developing countries using data for 15 Indian states. The analysis shows that a variety of rankings of gender-relaxed income attainment and the GDI can be obtained for Indian states using various measures of workforce participation rates and wage rates. The sharp changes in ranks which may be obtained with different sets of data show that there is need for exercising caution while deriving policy measures based on these ranks.

Regional Analysis Confusion Confounded

Regional Analysis: Confusion Confounded P C Sarker IN his article, 'Regional Imbalances in Indian Economy: Caught in Computerised Confusion' (EPW. November II 1995), S M Vidwans has tried to point out "inconsistencies' in my paper on 'Regional Imbalances in Indian Economy over Pian Periods' (EPW, March 12,1994). However, except for one or two points, his criticism is mostly unwarranted.

Regional Imbalances in Indian Economy

over Plan Periods P C Sarker An exercise has been undertaken in this paper, in the framework of the Five-Year Plans, to devise measures to assess how far maldistribution of resources among the states has been corrected and whether there has been a noticeable reduction in regional imbalances and changes in the placement of the different states according to the degree of development.

Identification of Levels of Development-Case of Maharashtra

Case of Maharashtra K Seeta Prabhu P C Sarker The study arrives at an unambiguous classification of the sectoral as well as aggregate levels of development of the districts of Maharashtra for 1985-86 using three different techniques, viz. ranking, indexing and principal components. The final classification of districts for the aggregate level of development was obtained using Wald's criterion. In the final classification, 11 districts were identified as being highly developed, while three districts were considered as belonging to the middle level of development The remaining 15 districts were classified as underdeveloped.

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