Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics

M. R. Narayana ¹

Affiliations
1 Quantitative Analysis Unit, Institute for Social and Economic Change (ISEC) ,Nagarabavi P.O, Bangalore 560 072, IN

Abstract

This paper provides empirical evidence and policy implications for determinants of pass percentage of students (or students' performance) in aided private degree colleges in Karnataka State (India) from 1991-92 to 1997-98. The 113 sample aided colleges are grouped under different management and determinants are estimated using cross-section, pooled regression and panel data models. The estimation results show both similarities and differences in the nature and magnitude of the determinants and pooling of data between management and estimation models. For instance; regardless of the nature of estimation and the management of colleges, the impact of grants-in-aid (through student-teacher ratio) on the pass percentage of students is found to be statistically insignificant. Apart from lhe college-specific effects, whether a college offers the aided cources or aided and unaided courses makes a remarkable difference in the students' performance. These results indicate, among others, the need for a (i) reconsideration of the current and future GlA policy in the State and (ii) greater role for college management in determining and improving the students' performance in the aided colleges.

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M. R. Narayana

Abstract

The existence of large number of Primary Health Centres (PHCs) and the paucity of resources (money, time and labour), often compel the policy makers to selecting a set of few representative PHCs as the spatial bases for evaluation of family welfare programme. In this context, this paid develops simple (non-stochastic and non-axiomatic) methods for selecting representative PHCs in different levels of programmers' performance, such as, good, average and poor levels of performance. The alternative methods are implemented for actual PHC data in the Chitradurga district of Karnataka State in South India. The empirical results indicate the operational validity of analytical methods and the sensitivity of selection of representative PHCs with regard to the methods. From the policy viewpoint, the alternative classifications of PHCs according to performance levels indicate the need for differential and area-specific approach to evaluation of famiIy welfare programme. Finally, subject to the availability of comparable performance data, the simple methods developed in this paper can be replicated for selection of PHCs elsewhere in developing countries.

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