Abstract

The human resources in science and technology (HRST) plays an important role in national economic development in countries, which is why so much resources is put into HRST. Evaluating the capacity of human resources in science and technology (HRST) of each nation provides key information which guides national resources allocations and resources utilization. The utility maximization of substantiation resources is very important, such as products are evaluated using productivity maximization. However human beings are not products and are subject to emotional factors. Optimizing capacity utilization of HRST is not maximization.Therefore we use ray measure, partial CU measure for HRST productivity evaluation. The capacity utilization of HRST refers to the ratio of the amount of output that can be produced using the installed productivity capacity to the optimal output. This study uses DEA to measure the capacity utilization of HRST for 39 countries. Ten HRST productivity indexes from the indexes listed in the World Competitiveness Yearbook, after which average capacity utilizations of the 39 countries were calculated to range between 0.86 and 0.95. Finally, the countries with the most optimal capacity utilization were identified, and their resource allocations were studied and used as a guide to improve the capacity utilization of HRST in elsewhere.

Key words: Capacity utilization, human resources in science and technology (HRST), data envelopment analysis (DEA).