The Dynamics of Productivity in the Swiss and German University Sector: A Non-Parametric Analysis that Accounts for Heterogeneous Production

Maria Olivares, A. Schenker-Wicki
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引用次数: 9

Abstract

Based on a disaggregate cross-country analysis, we investigate the performance of 10 public Swiss universities and 77 public German universities from 2001-2007. During this period the universities in both countries have faced two major reforms aimed at improving efficiency and productivity in the European higher education sector. We assess the change in productivity and its sources, that is technological change, technical efficiency change and scale effects, obtained by computing the non-parametric Malmquist productivity index by benchmarking the non-science disciplines and the science disciplines of both countries separately against a common frontier. Given the lack of statistical inference of non-parametric productivity analyses, we employ bootstrapping techniques and estimate confidence intervals, allowing us to verify the statistical significance of our results. The results indicate that improvements in technical efficiency were by far the most important driver for productivity growth, followed by gains realised through exploiting economies of scale; thereby technological change partly reduced the increases in productivity. Our findings, however, suggest reform-related differences between the Swiss and the German public university sector. Further, the results point to structural differences across the scientific disciplines, as we found divergent patterns for the development in productivity and its sources in the non-sciences and the sciences.
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生产力在瑞士和德国大学部门的动态:一个非参数分析,说明异质生产
基于一项跨国分析,我们调查了2001-2007年间瑞士10所公立大学和德国77所公立大学的表现。在此期间,两国的大学都面临着两项旨在提高欧洲高等教育部门效率和生产力的重大改革。我们评估了生产力的变化及其来源,即技术变革、技术效率变化和规模效应,通过计算非参数马尔姆奎斯特生产力指数,分别对两国的非科学学科和科学学科进行基准测试,以共同边界为基准。鉴于缺乏非参数生产率分析的统计推断,我们采用自启动技术和估计置信区间,使我们能够验证结果的统计显著性。结果表明,技术效率的提高是迄今为止生产率增长的最重要驱动因素,其次是通过利用规模经济实现的收益;因此,技术变革在一定程度上降低了生产率的提高。然而,我们的研究结果表明,瑞士和德国公立大学部门在改革方面存在差异。此外,研究结果指出了科学学科之间的结构性差异,因为我们发现了生产力发展的不同模式及其在非科学和科学中的来源。
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