The Educational Efficiency Evaluation Framework: By Using DEA Model and CA Method

Yuan, Zhen; Shan, Mingfeng

doi:10.7763/ijiet.2016.v6.818

Cited by 9 publications

(9 citation statements)

References 20 publications

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“…Lauro et al [32] and Yuan and Shan [64] report that the CCR and the BCC models only differ in the manner the latter includes convexity constraints. Since the current model considers the VRS, the restriction n i=1 n = 1 is introduced.…”

Section: Methodology and Datamentioning

confidence: 99%

Technical efficiency of provincial public healthcare in South Africa

Ngobeni

Breitenbach

Aye

2020

Cost Eff Resour Alloc

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Background: Forty-nine million people or 83 per cent of the entire population of 59 million rely on the public healthcare system in South Africa. Coupled with a shortage of medical professionals, high migration, inequality and unemployment; healthcare provision is under extreme pressure. Due to negligence by the health professionals, provincial health departments had medical-legal claims estimated at R80 billion in 2017/18. In the same period, provincial health spending accounted for 33 per cent of total provincial expenditure of R570.3 billion or 6 per cent of South Africa's Gross Domestic Product. Despite this, healthcare outcomes are poor and provinces are inefficient in the use of the allocated funds. This warrants a scientific investigation into the technical efficiency of the public health system. Methods:The study uses data envelopment analysis (DEA) to assess the technical efficiency of the nine South African provinces in the provision of healthcare. This is achieved by determining, assessing and comparing ways that individual provinces can benchmark their performance against peers to improve efficiency scores. DEA compares firms operating in homogenous conditions in the usage of multiple inputs to produce multiple outputs. Therefore, DEA is ideal for measuring the technical efficiency of provinces in the provision of public healthcare. In DEA methodology, the firms with scores of 100 per cent are technically efficient and those with scores lower than 100 per cent are technically inefficient. This study considers six DEA models using the 2017/18 total health spending and health staff as inputs and the infant mortality rate as an output. The first three models assume the constant returns to scale (CRS) while the last three use the variable return to scale (VRS) both with an input-minimisation objective. Results:The study found the mean technical efficiency scores ranging from 35.7 to 87.2 per cent between the health models 1 and 6. Therefore, inefficient provinces could improve the use of inputs within a range of 64.3 and 20.8 per cent. The Gauteng province defines the technical efficiency frontiers in all the six models. The second-best performing province is the North West province. Other provinces like KwaZulu-Natal, Limpopo and the Eastern Cape only perform well under the VRS. The other three provinces are inefficient. Conclusions:Based on the VRS models 4 to 6, the study presents three policy options. Policy option 1 (model 4): the efficiency gains from addressing health expenditure wastage in four inefficient provinces amounts to R17 billion. Policy option 2 (model 5): the potential savings from the same provinces could be obtained from reducing 17,000 health personnel, advisably, in non-core areas. In terms of Policy option 3 (model 6), three inefficient provinces should reduce 6940 health workers while the same provinces, inclusive of KwaZulu-Natal could realise health expenditure savings of R61 million. The potential resource savings from improving the efficiency of the inefficient provinces could...

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Section: Methodology and Datamentioning

confidence: 99%

Technical efficiency of provincial public healthcare in South Africa

Ngobeni

Breitenbach

Aye

2020

Cost Eff Resour Alloc

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“…To analyze education efficiency, the literature presents non-parametric methods based on mathematical optimization models, e.g., data envelopment analysis (DEA) [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] or free disposal hull (FDH) [20,[22][23][24] as well as parametric methods, e.g., stochastic frontier analysis (SFA) [25][26][27]. In turn, efficacy is studied with difference-in-differences experiments and with instrumental variable estimations.…”

Section: Related Workmentioning

confidence: 99%

Assessment of the European Union’s Educational Efficiency

Dincă

Andronic

et al. 2021

Sustainability

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This paper assesses education sector’s efficiency by comparing 28 European Union states at different levels of education using the mathematic approach of data envelopment analysis. We conducted the study from both the allocative and technical perspectives by considering all education levels separately and then as a whole, every three years, starting with 2006. The input and output variables were adapted to each particular level of education. In this way, we offered a complete image of the education system, creating a ranking for the countries, based on efficiency scores. Efficiency appears to be achieved when education results, such as the Programme for International Student Assessment scores, attainment level or other value-added outcomes, are reached with rather low levels of financial resources. The performance in education lacks sustainability in many countries, mostly belonging to Mediterranean and south-eastern European groups, with old member states recording efficiency scores closer to 1 compared to the new ones. Inefficiency derived from different causes and interactions between these causes (the mixture between public and private resources, the different population composition, gross domestic product per capita or levels of education attainment) and most often imply particular solutions from country to country.

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“…Huguenin [2] Fatimah & Mahmudah [3] has evaluated the efficiency of primary schools in Switzerland and Indonesia. Meanwhile, Badri et al [4], Yuan & Shan [5] and Minuci et al [6] performed the efficiency measurement of secondary schools in Abu Dhabi, China and West Virginia. DEA is a non-parametric methodology based on linear programming, through a mapping of the production frontier that is also used to analyze the functions of production [7].…”

Section: Introductionmentioning

confidence: 99%

Measuring the Efficiency of School System in all Provinces in Indonesia

Hanoum

Putri

Tisrinasari

2021

Proc. Buss. Fin. Tech

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Human resource plays an important role for the economy. How to obtain human resource quality is by implementing the quality of education system. Education is one of the important considerations sought by the government, as proved by the size of its allocation on budget. Therefore, evaluating the efficiency of its implementation in Indonesia is needed by using the Data Envelopment Analysis (DEA) method. This paper attempts to develop a new efficiency model of Indonesian education system and implement it to all school’s levels: primary school, junior high school, senior and vocational high school, in 34 provinces in Indonesia. The results show provinces that already have achieved cost, technical and overall efficiency are only 1 and 2 provinces at each levels of education. Regarding the managerial implications, teacher’s equity is a top priority in improving the quality of education system in Indonesia.

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The Educational Efficiency Evaluation Framework: By Using DEA Model and CA Method

Cited by 9 publications

References 20 publications

Technical efficiency of provincial public healthcare in South Africa

Technical efficiency of provincial public healthcare in South Africa

Assessment of the European Union’s Educational Efficiency

Measuring the Efficiency of School System in all Provinces in Indonesia

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