Measuring equity of education resource allocation: An output-based approach

2021 ◽  
Vol 87 ◽  
pp. 102492
Author(s):  
Carina Omoeva ◽  
Nina Menezes Cunha ◽  
Wael Moussa
Keyword(s):  
Resource Allocation ◽  
Education Resource ◽  
Output Based Approach

Distributive Justice and Higher Education Resource Allocation: Perceptions of Fairness

2014 ◽  
Vol 40 (1) ◽  
pp. 79-93 ◽  
Author(s):  
Hope Bradley Hnat ◽  
Daniel Mahony ◽  
Shawn Fitzgerald ◽  
Fashaad Crawford
Keyword(s):  
Higher Education ◽  
Resource Allocation ◽  
Distributive Justice ◽  
Perceptions Of Fairness ◽  
Education Resource

scholarly journals A A RESOURCE ALLOCATION PROBLEM IN HIGHER EDUCATION WITH INTEGRATED MULTICRITERIA DECISION MAKING

Sepren ◽  
2020 ◽  
Vol 1 (02) ◽  
pp. 34-45
Author(s):  
Dame Ifa Sihombing ◽  
Lamtiur Sinambela ◽  
Labuan Nababan
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Resource Allocation ◽  
Goal Programming ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Priority Ranking ◽  
Education Resource ◽  
Gp Model

This paper  analyzes forms of resource allocation problems in higher education. Resource allocation is one of the major decision problems arising in higher education. Resources must be allocated optimally is such a way that performance of universities can be improved. It combines two of the most extended multicriteria decision making techniques: the Analytic Hierarchy Process (AHP) and Goal Programming (GP). The AHP approach is used in evaluation all criteria such as qualitative and quantitative factors. Then the Goal Programming (GP) model incorporating the constraints to select the best set of all goals without exceeding the limited avalaible resources. In this paper two commercial packages are used : Expert Choice for determining the AHP priority ranking of the projects, and LINGO 17 for solving the GP model.

scholarly journals Modelling the Spatial Distribution Differences of Compulsory Education Resource

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Weihong Liang ◽  
Changsong Ma
Keyword(s):  
Resource Allocation ◽  
Spatial Distribution ◽  
Secondary Schools ◽  
Primary Schools ◽  
Compulsory Education ◽  
Equilibrium Degree ◽  
Junior Secondary Schools ◽  
Junior Secondary ◽  
Education Resource ◽  
Statistical Yearbook

This paper aimed to explore the difference in the spatial distribution of compulsory education resource allocation. Raw data were collected from the 2020 China Statistical Yearbook (county/district level) and Guangxi Province Statistical Yearbook of China. Data analysis was conducted using the entropy method, comprehensive evaluation method, K-means clusters analysis, analysis of variance, and spatial statistical analysis (Moran’s I index). It was determined that there were significant differences in the spatial distribution of compulsory education. The equilibrium degree to mandatory education resource allocation was divided into three classes: high level, medium level, and low level, and each class presented a spatial aggregation effect in the spatial distribution. Compared with the primary schools, the equilibrium degree of junior secondary school was higher. However, the equilibrium fluctuation of junior secondary schools was more significant among different counties/districts. The equilibrium of educational resources of junior secondary schools in the urban areas was higher than that in the rural areas, but there was no significant difference for the primary school.

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