Sustainable Development Goals and Higher Education: An Efficiency Analysis

Maja Mihaljević Kosor
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Abstract

Abstract Higher education (HE) is a significant factor in a country’s economic prosperity and plays a vital role in addressing sustainability issues and actively promoting sustainable development. While many EU member countries have well-developed education systems in terms of rankings and SDGs’ attainment, little is known about the progress of other European countries. The goal of this research is to estimate the efficiency of higher education in the attainment of Sustainable Development Goals (SDGs) in 40 European countries. The method used to estimate efficiency is Data Envelopment Analysis (DEA) with output-orientation and variable returns to scale approach. In the final model specification, two input variables and one output variable are used. Results indicate that the average technical efficiency of the 40 European countries is relatively high and equal to 0.94. Nine countries emerge as fully efficient in achieving SDG 4 with a coefficient equal to 1. The four largest higher education systems achieved an above-average efficiency score of 0.97 or higher. Six countries are recognized as the worst performing. However, more analysis is necessary to examine the sources of inefficiency in the worst-performing countries. Due to specific data limitations indicated in this research, it remains a challenge to evaluate the precise impact of higher education and its contribution to SDGs.
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可持续发展目标与高等教育:效率分析
高等教育是一个国家经济繁荣的重要因素,在解决可持续发展问题、积极推动可持续发展方面发挥着至关重要的作用。虽然许多欧盟成员国在排名和可持续发展目标的实现方面拥有发达的教育体系,但对其他欧洲国家的进展却知之甚少。本研究的目的是估计40个欧洲国家高等教育在实现可持续发展目标(SDGs)方面的效率。评估效率的方法是产出导向的数据包络分析(DEA)和变规模收益法。在最终的模型规范中,使用了两个输入变量和一个输出变量。结果表明,40个欧洲国家的平均技术效率较高,为0.94。9个国家在实现可持续发展目标4方面完全有效,系数等于1。四大高等教育系统的效率得分高于平均水平0.97或更高。六个国家被认为是表现最差的。然而,有必要对表现最差的国家低效率的根源进行更多的分析。由于本研究中具体的数据限制,评估高等教育的确切影响及其对可持续发展目标的贡献仍然是一个挑战。
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