Üniversitelerde Optimal Beşeri Sermaye ve Toplam Faktör Verimliliği Simülasyonları

A. Kara
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Abstract

In this paper, we develop models of university capital in disaggregated and aggregated forms and simulate the trajectories of human/ non-human capital and total factor productivity in universities. The capital employed by a representative university is decomposed into two composite human capital and non-human capital dimensions, each of which is further disaggregated into some sub-dimensions. We first present a sketch of a disaggregated model for illustrative purposes and then develop an aggregated model for the simulation of the key variables in the system. We incorporate an investment support (subsidy) parameter into the model, the optimal value of which is computationally determined. Based on the optimal value of this decision variable, the trajectories of human/non-human capital and total factor productivity are obtained. Though the exercise constructed in the paper is a particular or limited one, the model is highly suitable for generalized exercises with multiple decision variables and multidimensional objective functions capturing a rich variety of different possibilities in real life. The optimality and simulation exercises of this kind could help the university managers to design optimal decision systems to achieve the university objectives in a best possible manner in dynamic settings.
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在本文中,我们建立了分解和聚集形式的大学资本模型,并模拟了大学人力资本/非人力资本和全要素生产率的轨迹。本文将代表性大学的资本投入分解为人力资本和非人力资本两个复合维度,并进一步分解为若干子维度。我们首先为说明目的提出一个分解模型的草图,然后开发一个用于模拟系统中关键变量的聚合模型。在模型中加入投资支持(补贴)参数,通过计算确定其最优值。基于该决策变量的最优值,得到了人力资本/非人力资本和全要素生产率的发展轨迹。虽然本文构建的练习是一个特殊的或有限的练习,但该模型非常适合于具有多决策变量和多维目标函数的广义练习,可以捕获现实生活中丰富多样的不同可能性。这种最优性和模拟练习可以帮助大学管理者设计最优决策系统,以在动态环境中以最佳方式实现大学目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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