改善乌克兰学校教育发展预算支持的途径

S. Londar, V. Bakhrushyn, Lidia Londar, V. Gapon, N. Pron
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引用次数: 0

摘要

普通中等教育预算拨款的效率是一个非常重要的问题,因为这种拨款需要将很大一部分预算资源用于教育。国际研究人员提出了不同的方法来确定这种效率。本文探讨了利用数据包络分析(DEA)方法的一种改进方法来评估普通中等教育预算筹资效率的可行性。该方法在乌克兰地区2020年的学校融资数据上进行了测试,使用了四种当地社区预算(区域预算、城市预算、地区预算和LC预算)的资源。该模型的最终指标(资助产出)是根据学生毕业后在全国范围内对多个学科进行的外部独立评估的结果构建的。提出了几种不同的综合效率指标,并计算了综合效率指标。结果表明,采用DEA仿真方法解决中等教育机构网络优化问题具有一定的可行性。小型普通中等教育机构的教育质量普遍较低,因此需要改组。同时,在做出优化学校网络的最终管理决策时,除了要考虑全国范围内独立的外部评估结果外,还需要考虑教育统计数据中可能没有反映出来的其他学校活动指标。特别是应进一步考虑经济和社会因素,例如以牺牲当地资源、基础设施、接近市场、能源因素等为代价来发展定居点的经济的可能性。在这种情况下,经济模拟和数学模拟的方法是适用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WAYS TO IMPROVE THE BUDGET SUPPORT OF SCHOOL EDUCATION DEVELOPMENT IN UKRAINE
The efficiency of budgetary funding for general secondary education is a quite relevant issue, as such funding requires a significant proportion of budget resources spent on education. International researchers have suggested different approaches to determining this efficiency. The article examines if it’s possible to use one of the modifications of the Data envelopment analysis (DEA) method to assess the efficiency of budget financing of general secondary education. This method was tested on the data on the financing of schools in the Zaporizhzhia region of Ukraine in 2020 using resources from four types of local communities budgets (regional budget, city budget, district budget and the LC budget). The resulting indicators of the model (outputs of funding) have been constructed based on the results of the nationwide external independent assessment in several subjects, which the students obtained after graduation. The authors offered several variants of the resulting indicator and calculated the integrated efficiency indicator. It is shown that it is partly possible to solve the problems of optimization of the network of secondary education institutions by the simulation approach using DEA. The quality of education is generally lower in small general secondary education institutions, as such they need to be reorganized. At the same time, other school activity indicators that may not be reflected in education statistics need to be taken into account when making final management decisions to optimize the school network, in addition to the results of a nationwide independent external evaluation. In particular, economic and social factors should be further considered, such as the possibility of economic development of the settlement at the expense of local resources, infrastructure, proximity to markets, energy factors, etc. In this case, the methods of economic and mathematical simulation are applicable.
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