{"title":"公立高等教育机构效率:一个元分析","authors":"Pavla Mikušová","doi":"10.31577/ekoncas.2020.09.05","DOIUrl":null,"url":null,"abstract":"Measuring the efficiency of public higher education institutions has become a subject of many studies. We analyse these studies using meta-analysis and identify the most commonly adopted inputs and outputs in the DEA and SFA models (e.g. the number of students, graduates, academic staff). Data obtained from these studies were used for meta-regression analysis. We analyse the effect of independent variables (sample size, the number of inputs and outputs, method used, model orientations, returns to scale and to the country) on the average technical efficiency of public higher education institutions. Finally, we use this model to predict the average technical efficiency of the Czech and Slovak public higher education institutions.","PeriodicalId":45333,"journal":{"name":"Ekonomicky Casopis","volume":"17 1","pages":"963-977"},"PeriodicalIF":0.4000,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Efficiency of Public Higher Education Institutions: A Meta-Analysis\",\"authors\":\"Pavla Mikušová\",\"doi\":\"10.31577/ekoncas.2020.09.05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Measuring the efficiency of public higher education institutions has become a subject of many studies. We analyse these studies using meta-analysis and identify the most commonly adopted inputs and outputs in the DEA and SFA models (e.g. the number of students, graduates, academic staff). Data obtained from these studies were used for meta-regression analysis. We analyse the effect of independent variables (sample size, the number of inputs and outputs, method used, model orientations, returns to scale and to the country) on the average technical efficiency of public higher education institutions. Finally, we use this model to predict the average technical efficiency of the Czech and Slovak public higher education institutions.\",\"PeriodicalId\":45333,\"journal\":{\"name\":\"Ekonomicky Casopis\",\"volume\":\"17 1\",\"pages\":\"963-977\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ekonomicky Casopis\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.31577/ekoncas.2020.09.05\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ekonomicky Casopis","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.31577/ekoncas.2020.09.05","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
The Efficiency of Public Higher Education Institutions: A Meta-Analysis
Measuring the efficiency of public higher education institutions has become a subject of many studies. We analyse these studies using meta-analysis and identify the most commonly adopted inputs and outputs in the DEA and SFA models (e.g. the number of students, graduates, academic staff). Data obtained from these studies were used for meta-regression analysis. We analyse the effect of independent variables (sample size, the number of inputs and outputs, method used, model orientations, returns to scale and to the country) on the average technical efficiency of public higher education institutions. Finally, we use this model to predict the average technical efficiency of the Czech and Slovak public higher education institutions.
期刊介绍:
Journal of Economics, Institute of Economic Research of Slovak Academy of Sciences, Šancová 56, 811 03 Bratislava 1, Slovak Republic The Journal is monitored by Social Sciences Citation Index, Current Contents/Social and Behavioural Sciences and by electronic EconLit Index.