{"title":"校园欺凌与国家教育体系:通过扩展数据包络分析对欧洲教育绩效进行效率评估","authors":"Kouhei Kikuchi, Soushi Suzuki, Peter Nijkamp","doi":"10.1007/s11205-024-03376-x","DOIUrl":null,"url":null,"abstract":"<p>A strong and attractive educational system serves normally as a cornerstone for enhancing a nation’s long-term socio-economic development potential. In recent years, bullying among pupils or students has become a pressing issue in many schools, with significant negative repercussions for both pupils (or students) and their educational environment. Bullying not only diminishes the quality of school education but also erodes the students’ motivation and wellbeing. Thus, it plays a critical role in educational performance, prompting an urgent need for an assessment of its negative implications. This paper seeks to design and test a new model-based approach to evaluate the negative role of bullying at school in educational performance. A prominent avenue of evidence-based research on the quantitative evaluation of educational outcomes can be found in the use of Data Envelopment Analysis (DEA), a multidimensional comparative assessment tool for judging the efficiency of a set of relevant decision-making agents by examining the ratio of outputs to inputs. Among the various applications of DEA, the Distance Friction Minimization (DFM) approach has emerged as a promising tool. Nevertheless, the conventional DFM approach has also a serious limitation: it considers normally only one input and one output element in its projection. To address this shortcoming, this paper introduces a new Improved Ratio Minimization (IRM) approach. The IRM method overcomes the above-mentioned constraint, by allowing for the distribution of efficiency improvement projections among all input and output items contributing to efficient outcomes. Subsequently, this paper seeks to demonstrate the practical relevance of the IRM approach in DEA by applying it to an assessment of educational efficiency, with a particular focus on the effects of bullying in secondary education in European countries. Drawing from an extensive international dataset, the IRM-DEA model generates a variety of comparative empirical findings regarding the overall wellbeing and efficiency loss caused by bullying among students in European countries. The paper also explores new policy avenues for enhancing educational performance in the context of bullying at school across Europe.</p>","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":"25 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bullying Among Pupils at School and a Country’s Educational System: An Efficiency Evaluation of Educational Performance in Europe by Means of an Extended Data Envelopment Analysis\",\"authors\":\"Kouhei Kikuchi, Soushi Suzuki, Peter Nijkamp\",\"doi\":\"10.1007/s11205-024-03376-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A strong and attractive educational system serves normally as a cornerstone for enhancing a nation’s long-term socio-economic development potential. 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Among the various applications of DEA, the Distance Friction Minimization (DFM) approach has emerged as a promising tool. Nevertheless, the conventional DFM approach has also a serious limitation: it considers normally only one input and one output element in its projection. To address this shortcoming, this paper introduces a new Improved Ratio Minimization (IRM) approach. The IRM method overcomes the above-mentioned constraint, by allowing for the distribution of efficiency improvement projections among all input and output items contributing to efficient outcomes. Subsequently, this paper seeks to demonstrate the practical relevance of the IRM approach in DEA by applying it to an assessment of educational efficiency, with a particular focus on the effects of bullying in secondary education in European countries. Drawing from an extensive international dataset, the IRM-DEA model generates a variety of comparative empirical findings regarding the overall wellbeing and efficiency loss caused by bullying among students in European countries. 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引用次数: 0
摘要
一个强大而有吸引力的教育体系通常是提高国家长期社会经济发展潜力的基石。近年来,中小学生欺凌现象已成为许多学校亟待解决的问题,对中小学生和教育环境都造成了严重的负面影响。欺凌行为不仅会降低学校教育的质量,还会侵蚀学生的积极性和身心健康。因此,欺凌对教育绩效起着至关重要的作用,迫切需要对其负面影响进行评估。本文试图设计并测试一种基于模型的新方法,以评估校园欺凌对教育绩效的负面影响。数据包络分析法(DEA)是一种多维比较评估工具,通过考察产出与投入的比率来判断一组相关决策主体的效率。在 DEA 的各种应用中,距离摩擦最小化(DFM)方法已成为一种很有前途的工具。然而,传统的 DFM 方法也有一个严重的局限性:它在预测时通常只考虑一个输入和一个输出要素。针对这一缺陷,本文引入了一种新的改进比率最小化(IRM)方法。IRM 方法克服了上述限制,允许将效率改进预测分配给所有有助于实现高效结果的投入和产出项目。随后,本文试图通过将 IRM 方法应用于教育效率评估来证明其在 DEA 中的实用性,尤其关注欧洲国家中学教育中欺凌现象的影响。利用广泛的国际数据集,IRM-DEA 模型得出了关于欧洲国家学生中欺凌行为造成的整体福祉和效率损失的各种比较性实证研究结果。本文还探讨了在欧洲各国校园欺凌背景下提高教育绩效的新政策途径。
Bullying Among Pupils at School and a Country’s Educational System: An Efficiency Evaluation of Educational Performance in Europe by Means of an Extended Data Envelopment Analysis
A strong and attractive educational system serves normally as a cornerstone for enhancing a nation’s long-term socio-economic development potential. In recent years, bullying among pupils or students has become a pressing issue in many schools, with significant negative repercussions for both pupils (or students) and their educational environment. Bullying not only diminishes the quality of school education but also erodes the students’ motivation and wellbeing. Thus, it plays a critical role in educational performance, prompting an urgent need for an assessment of its negative implications. This paper seeks to design and test a new model-based approach to evaluate the negative role of bullying at school in educational performance. A prominent avenue of evidence-based research on the quantitative evaluation of educational outcomes can be found in the use of Data Envelopment Analysis (DEA), a multidimensional comparative assessment tool for judging the efficiency of a set of relevant decision-making agents by examining the ratio of outputs to inputs. Among the various applications of DEA, the Distance Friction Minimization (DFM) approach has emerged as a promising tool. Nevertheless, the conventional DFM approach has also a serious limitation: it considers normally only one input and one output element in its projection. To address this shortcoming, this paper introduces a new Improved Ratio Minimization (IRM) approach. The IRM method overcomes the above-mentioned constraint, by allowing for the distribution of efficiency improvement projections among all input and output items contributing to efficient outcomes. Subsequently, this paper seeks to demonstrate the practical relevance of the IRM approach in DEA by applying it to an assessment of educational efficiency, with a particular focus on the effects of bullying in secondary education in European countries. Drawing from an extensive international dataset, the IRM-DEA model generates a variety of comparative empirical findings regarding the overall wellbeing and efficiency loss caused by bullying among students in European countries. The paper also explores new policy avenues for enhancing educational performance in the context of bullying at school across Europe.
期刊介绍:
Since its foundation in 1974, Social Indicators Research has become the leading journal on problems related to the measurement of all aspects of the quality of life. The journal continues to publish results of research on all aspects of the quality of life and includes studies that reflect developments in the field. It devotes special attention to studies on such topics as sustainability of quality of life, sustainable development, and the relationship between quality of life and sustainability. The topics represented in the journal cover and involve a variety of segmentations, such as social groups, spatial and temporal coordinates, population composition, and life domains. The journal presents empirical, philosophical and methodological studies that cover the entire spectrum of society and are devoted to giving evidences through indicators. It considers indicators in their different typologies, and gives special attention to indicators that are able to meet the need of understanding social realities and phenomena that are increasingly more complex, interrelated, interacted and dynamical. In addition, it presents studies aimed at defining new approaches in constructing indicators.