伊朗医科大学教育部门预算确定的建模

Q4 Social Sciences
A. Haghdoost, Reza Goudarzi, M. Ramezanian, A. Javadi, A. Darvishi, A. Hosseinzadeh, M. Abolhallaje, M. Rahimi
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引用次数: 0

摘要

由于资源不足,一个资金充足的预算体系对于实现组织目标是非常重要的。本研究采用计量经济学方法和线性回归估计方法对预算分配过程中的经济行为进行了研究。方法本研究使用的数据是来自医科大学的8年的面板数据。该模型的解释变量包括教师人数和学生人数。此外,估计单独的线性回归作为支出预算和总预算水平的因变量。结果研究结果表明,如果单纯以教师为基准编制预算,每位教师的公共预算分配额为1.137亿托曼;如果以学生为基准编制预算,每位本科生、专业博士(医学、药学、牙科)和研究生的公共预算分配额分别为980万托曼、220万托曼和2590万托曼。总体而言,大学教育部门的预算分配与教师和学生有很强的关系。但是,预算消费的地点和绩效质量指标仍不明确。本研究结果可用于定量建模,预测和分配医学院校的预算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling the Budget Determination of Educational Sector in Iran’s Medical Sciences Universities
Background Because of resources deficiency, a well-funded budget system is very important for achieving organizational goals. Hence, providing a specific pattern for performance analysis is important to allocate funds to medical universities Objectives In this study, econometric method and linear regression estimation were used to investigate the economic behaviour of the budget allocation process. Methods Data used in the present study were panel data from medical universities obtained during an eight-year period. The explanatory variables in this model included the numbers of faculty members and students. Also, separate linear regression was estimated as a dependent variable for the levels of expenditure budget and total budget. Results Our findings showed that if budgeting is done solely based on faculty members, allocation of public budget for each faculty member is 113.7 million Tomans, and if it is performed based on students, the allocated budgets are 9.8, 2.2, and 25.9 million Tomans for each undergraduate, professional doctorate (medicine, pharmacy, and dentistry) and postgraduate student, respectively. Conclusions In general, budget allocation for university education sector had a strong relationship with faculty members and students. However, the place of budget consumption and performance quality indicators still remain unclear. The results of this study can be applied for quantitative modelling to predict and allocate budget to medical universities.
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CiteScore
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