{"title":"Evaluating the efficiency of Taiwan's compulsory education system: A dynamic network DEA approach incorporating dropout impacts","authors":"Yi-Chun Lin , Ming-Miin Yu","doi":"10.1016/j.evalprogplan.2025.102588","DOIUrl":null,"url":null,"abstract":"<div><div>This study aims to dynamically assess the production efficiency of Taiwan's compulsory education system from 2012 to 2022 by extending the network data envelopment analysis (NDEA) model into a dynamic framework. The proposed model integrates intertemporal carry-over variables and bad outputs (such as student dropouts) to address inefficiencies beyond the static input-output framework. Using the directional distance function (DDF) approach, we distinguish between retrieved and non-retrieved dropouts, emphasizing the long-term impact of non-retrieved dropouts as a carry-over variable. The empirical analysis evaluates performance disparities among various local governments and examines the influence of different local governments on overall and stage-specific educational performance. Our findings provide insights into the efficiency changes in Taiwan's compulsory education system, offering valuable guidance for policymakers to improve system performance. Additionally, this study contributes to the literature by introducing a refined dynamic NDEA framework that better captures the complexities of educational inefficiencies.</div></div>","PeriodicalId":48046,"journal":{"name":"Evaluation and Program Planning","volume":"111 ","pages":"Article 102588"},"PeriodicalIF":1.5000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evaluation and Program Planning","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0149718925000552","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to dynamically assess the production efficiency of Taiwan's compulsory education system from 2012 to 2022 by extending the network data envelopment analysis (NDEA) model into a dynamic framework. The proposed model integrates intertemporal carry-over variables and bad outputs (such as student dropouts) to address inefficiencies beyond the static input-output framework. Using the directional distance function (DDF) approach, we distinguish between retrieved and non-retrieved dropouts, emphasizing the long-term impact of non-retrieved dropouts as a carry-over variable. The empirical analysis evaluates performance disparities among various local governments and examines the influence of different local governments on overall and stage-specific educational performance. Our findings provide insights into the efficiency changes in Taiwan's compulsory education system, offering valuable guidance for policymakers to improve system performance. Additionally, this study contributes to the literature by introducing a refined dynamic NDEA framework that better captures the complexities of educational inefficiencies.
期刊介绍:
Evaluation and Program Planning is based on the principle that the techniques and methods of evaluation and planning transcend the boundaries of specific fields and that relevant contributions to these areas come from people representing many different positions, intellectual traditions, and interests. In order to further the development of evaluation and planning, we publish articles from the private and public sectors in a wide range of areas: organizational development and behavior, training, planning, human resource development, health and mental, social services, mental retardation, corrections, substance abuse, and education.