PRODUCTIVITY, EFFICIENCY AND ENTREPRENEURIAL - INNOVATIVE UNIVERSITY INDEX: AN ANALYSIS FOR UNIVERSITIES IN TÜRKiYE

Year 2024, Volume: 25 Issue: 3, 415 - 426, 30.09.2024

İsmail Yenilmez

https://doi.org/10.18038/estubtda.1455818

Abstract

The productivity and efficiency of universities were analysed in this study. The data and results of the Entrepreneurial and Innovative University Index-EIUI, which is calculated by TÜBITAK every year by considering various information for universities, were used. The study aimed to discuss the index, productivity, and efficiency results comparatively. Four-year data (2019-2022) and the index values were used. Balanced panel data analysis was performed on universities consistently included in the list each year. In the calculation of the index, a weighted sum of values standardized by the min-max method was taken into account. This is available in the calculation methodology of the index. Total factor productivity and stochastic frontier model methods were used for the analysis of productivity and efficiency, respectively. Universities that enter the index list every year and are at the top are effective, but they could not increase their productivity in the previous years. Universities established before 1992 may have approached the saturation level in terms of the input-output relationship, but it can be said that they can maintain their effectiveness. Some public and private universities that were established in 1992 and later have raised their productivity and efficiency. Although the index value and efficiency values overlapped to a certain extent, the significant differences in productivity were remarkable. While the studies in the literature focused on the meta-analysis of the index and the efficiency analysis of universities with various methods, this study presented an inclusive and comparative analysis in terms of index, productivity, and efficiency with panel data analysis.

Keywords

Total Factor Productivity, Stochastic Frontier Model, Triple Helix Model of Innovation, Innovation Helix Framework, Balanced Panel Data

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