scholarly journals Measuring the Efficiency of Health Services Areas in Kingdom of Saudi Arabia Using Data Envelopment Analysis (DEA): A Comparative Study between the Years 2014 and 2006

2017 ◽  
Vol 9 (4) ◽  
pp. 172 ◽  
Author(s):  
Sanaa Mohamed Aly Helal ◽  
Haga Abdelrahman Elimam
Keyword(s):  
Saudi Arabia ◽  
Data Envelopment Analysis ◽  
Health Services ◽  
Production Efficiency ◽  
Data Envelopment ◽  
Kingdom Of Saudi Arabia ◽  
Average Production ◽  
Government Hospitals ◽  
The Government ◽  
Using Data

The study aimed to assess the efficiency of health services provided by the government hospitals in various districts of the Kingdom of Saudi Arabia. The number of beds at hospitals, doctors, nursing staff and paramedical categories were used as inputs for the model. The average productivity efficiency of government hospitals in the districts of the Kingdom of Saudi Arabia in 2014 was 92.3%; whereas, the average internal production efficiency of these districts in the provision of health services through their respective hospitals was 94.7%; and the average external productivity efficiency in the different cities of the districts in Kingdom of the Saudi Arabia was 97.5%. It has been found that the average overall productivity efficiency was 90.2%, concerning the relative efficiency indicators of government hospitals, which were based on the hospitals’ distribution of Saudi Arabian districts in 2006. An analysis of the indicator showed that the average production efficiency of the services provided (internally) by the districts of the Kingdom of Saudi Arabia was 94.7%, and that the average of the external production efficiency for such services was 95.4%. The Data Envelopment Analysis is a successful technique in measuring the performance efficiency of hospitals and it also assists to identify possible improvement and reduction in cost.

scholarly journals Monitoring the Performance of Petrochemical Organizations in Saudi Arabia Using Data Envelopment Analysis

Mathematics ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 519
Author(s):  
Hisham Alidrisi ◽  
Mehmet Emin Aydin ◽  
Abdullah Omer Bafail ◽  
Reda Abdulal ◽  
Shoukath Ali Karuvatt
Keyword(s):  
Saudi Arabia ◽  
Data Envelopment Analysis ◽  
Stock Exchange ◽  
Multiple Criteria Decision Making ◽  
Data Envelopment ◽  
Kingdom Of Saudi Arabia ◽  
Dea Models ◽  
Financial Performance Measures ◽  
Using Data ◽  
Hierarchy Process

The petrochemical industry plays a crucial role in the economy of the Kingdom of Saudi Arabia. Therefore, the effectiveness and efficiency of this industry is of high importance. Data envelopment analysis (DEA) is found to be more acceptable in measuring the effectiveness of various industries when used in conjunction with non-parametric methods such as multiple regression, analytical hierarchy process (AHP), multidimensional scaling (MDS), and other multiple criteria decision making (MCDM) approaches. In this study, ten petrochemical companies in the Kingdom of Saudi Arabia are evaluated using Banker, Charnes and Cooper (BCC)/Charnes, Cooper, and Rhodes (CCR) models of DEA to compute the technical and super-efficiencies for ranking according to their relative performances. Data were collected from the Saudi Stock Exchange on key financial performance measures, five of which were chosen as inputs and five as outputs. Five DEA models were developed using different input–output combinations. The efficiency plots obtained from DEA were compared with the Euclidean distance scatter plot obtained from MDS. The dimensionality of MDS plots was derived from the DEA output. It was found that the two-dimensional positioning of the companies was congruent in both plots, thus validating the DEA results.

scholarly journals Measuring the Efficiency of Public Universities: Using Data Envelopment Analysis (DEA) to Examine Public Universities in Saudi Arabia

2016 ◽  
Vol 10 (1) ◽  
pp. 137 ◽  
Author(s):  
Fahad Mohammed Alabdulmenem
Keyword(s):  
Saudi Arabia ◽  
Data Envelopment Analysis ◽  
Academic Outcomes ◽  
Relative Efficiency ◽  
Public Universities ◽  
Study Data ◽  
Data Envelopment ◽  
Using Data ◽  
Available Resources

Saudi Arabia is one of the countries that allot substantial amount of government resources for education. Thus, it is important to measure how these resources are used to generate favorable academic outcomes for its nationals. In this study, data envelopment analysis (DEA) is used to measure the relative efficiency of 25 public universities in Saudi Arabia. Results show that although most public universities in the country are efficient, some fall behind in performance due to poor utilization of available resources. Implications of this are discussed and recommendations are provided.

scholarly journals Factors Affecting Production Efficiency in a New Alternative Enterprise: The Case of the Ratite Industry

1997 ◽  
Vol 29 (2) ◽  
pp. 409-418 ◽  
Author(s):  
Jeffrey Gillespie ◽  
Alvin Schupp ◽  
Gary Taylor
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Efficiency ◽  
Data Envelopment ◽  
Factors Affecting ◽  
Efficiency Measures ◽  
Using Data

AbstractTechnical efficiency measures are calculated for ratite producers using data envelopment analysis. Regression analysis is then used to determine producer characteristics that are likely to lead to higher technical efficiencies. Results indicate that the most technically efficient ratite producers in Louisiana are not producing at the benchmark efficiency level advocated by the industry. Producer experience with other livestock, specialization, and labor are factors likely to lead to higher technical efficiency. These results are expected to hold for most new, alternative livestock enterprises.

scholarly journals Measurement of Ministry/Institution Budget Performance Efficiency Using Data Envelopment Analysis (DEA)

2020 ◽  
Vol 2 (1) ◽  
pp. 43
Author(s):  
Shiddiq Ardhi Irawan
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Performance Achievement ◽  
Dea Model ◽  
Constant Return ◽  
Crs Model ◽  
The Government ◽  
Using Data ◽  
Measurement And Evaluation ◽  
Model Approach

Efficiency is one of the tools used by the Government to measure the success of an activity. Based on PMK Number 214/ PMK.02/2017 it is regulated regarding the measurement and Evaluation of Budget Performance for the implementation of Work Plans and Ministries/Institutions Budgets. To measure budget performance achievement based on aspects of implementation 4 (four) variables i.e. budget absorption, output achievements, efficiency, and consistency of budget absorption towards planning, are used. This study aims to measure the efficiency level of Ministries/Institutions budget performance using Data Envelopment Analysis (DEA). However, the variables used are not only based on measurement aspects of implementation according to PMK Number 214/PMK.02/2017 but also the number of satker (satuan Kerja). The approach used in the DEA model is Constant Return to Scale (CRS) model and Variable Return to Scale (VRS) model. This study uses the DEA model approach by comparing the results of the CRS model with VRS model. Based on DEA results, the number of Ministries/Institutions that have efficient scores is less than the number of Ministries/Institutions with inefficient scores. In addition, based on the value of slacks in each Ministries/Institutions, the variables that need to be improved are the coordination among satkers in when they are recording their performance achievements in the SMART application. Other variables that also require improvements are the ministry/agency’s willingness to revise their Disbursement Plan (RPD) after each budget revision and the speed at which they spend their budget once DIPA is stipulated.

scholarly journals Measuring the Performance of Saudi Domestic Airports Using Data Envelopment Analysis(DEA)"

2014 ◽  
Vol 10 (3) ◽  
pp. 1929-1941
Author(s):  
Fahd Wasl Alosaimi ◽  
Saleh A Bin Sabaan
Keyword(s):  
Saudi Arabia ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Airport Capacity ◽  
Using Data ◽  
Operation Cost

The following research is aimed at evaluating the performance of domestic airports in Saudi Arabia with the help of Data Envelopment Analysis (DEA), based on outputs and inputs of the airports . A total of 21 domestic airports in Saudi Arabia were evaluated. The inputs were represented by such variables as Total Airport Capacity, Operation Cost and Number of Routs, whereas Numbers of Movement, Passengers and Cargo were considered as outputs. According to the results of the research, only ten airports of those under study are purely technically efficient. Eleven airports were found inefficient. The Super efficiency model was used to conduct ranking of efficient airports.

scholarly journals Efficiency evaluation of public hospitals in Saudi Arabia: an application of data envelopment analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e031924 ◽  
Author(s):  
Ahmed D Alatawi ◽  
Louis Wilhelmus Niessen ◽  
Jahangir A M Khan
Keyword(s):  
Saudi Arabia ◽  
Data Envelopment Analysis ◽  
Health Services ◽  
Production Capacity ◽  
Efficiency Score ◽  
Current Level ◽  
Public Hospitals ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Ministry Of Health

ObjectiveIn this study, we assess the performance of public hospitals in Saudi Arabia. We detect the sources of inefficiency and estimate the optimal levels of the resources that provide the current level of health services. We enrich our analysis by employing locations and capacities of the hospitals.DesignWe employ data envelopment analysis (DEA) to measure the technical efficiency of 91 public hospitals. We apply the input-oriented Charnes, Cooper and Rhodes, and Banker, Charne, Cooper models under Constant and Variable Returns-to-Scale. The assessment includes four inputs, and six output variables taken from the Ministry of Health databases for 2017. We conducted the assessment via PIM-DEA V.3.2 software.SettingMinistry of health-affiliated hospitals in the Kingdom of Saudi Arabia.ResultsFindings identified 75.8% (69 of 91) of public hospitals as technically inefficient. The average efficiency score was 0.76, indicating that hospitals could have reduced their inputs by 24% without reduction in health service provision. Small hospitals (efficiency score 0.79) were more efficient than medium-sized and large hospitals. Hospitals in the central region were more efficient (efficiency score 0.83), than those located in other geographical locations. More than half of the hospitals (62.6%) were operating suboptimally in terms of the scale efficiency, implying that to improve efficiency, they need to alter their production capacity. Performance analysis identified overuse of physician’s numbers and shortage of health services production, as major causes of inefficiency.ConclusionMost hospitals were technically inefficient and operating at suboptimal scale size and indicate that many hospitals may improve their performance through efficient utilisation of health resources to provide the current level of health services. Changes in the production capacity are required, to facilitate optimal use of medical capacity. The inefficient hospitals could benefit from these findings to benchmarking their system and performance in light of the efficient hospital within their capacity and geographical location.

scholarly journals Model of Optimal Zakat Allocation By Using Data Envelopment Analysis Approach

2019 ◽  
pp. 87-97
Author(s):  
Vita Sarasi ◽  
Ina Primiana ◽  
Dian Masyita ◽  
Yunizar Yunizar
Keyword(s):  
Resource Allocation ◽  
Data Envelopment Analysis ◽  
Quantitative Method ◽  
Optimal Allocation ◽  
Data Envelopment ◽  
Allocation Model ◽  
Fund Allocation ◽  
Initial Setting ◽  
The Government ◽  
Using Data

An optimization model of allocation of zakat fund and recipients is developed based on the Data Envelopment Analysis - Resource Allocation Model (DEA-RAM). The quantitative method plays an important role in optimal allocation of zakat delivery programs performed by some zakat institutions; that is by reallocation of initial setting of the zakat fund and beneficiaries numbers. It raises the needs of improvements in their recent strategies on the programs by the institutions. Zakat institutions, even the government as regulator, should have a clear focus on the poverty-empowerment-based programs in providing needed capitals for poverty empowerment. They are expected to create certain conditions in order to prevent excessive of fund allocation for the charity-based delivery programs.

Measurement of campaign efficiency in the 2020 elections using data envelopment analysis

2020 ◽  
pp. 5-15
Author(s):  
Tatiana Bencová
Keyword(s):  
Data Envelopment Analysis ◽  
Political Parties ◽  
Production System ◽  
Returns To Scale ◽  
The Political ◽  
Data Envelopment ◽  
Political Campaign ◽  
Dea Efficiency ◽  
The Government ◽  
Using Data

Data envelopment analysis (DEA) is used to analyze the efficiency of political parties campaign spending. DEA is a method to estimate a relative efficiency of decision making units (DMUs) performing similar tasks in the production system that consumes multiple inputs to produce multiple outputs. In this research paper DMUs represent 24 political parties and the production system represents the election campaign 2020. The input variable selected for the study is the cost for the political campaign. The output variables are the number of votes that the political party received in the election, number of points for the election program and the third output is the number of members of the government. For the efficiency analysis was used the BCC output oriented model which assumes variable returns to scale. The aim of the paper is twofold. The first task is to analyze input and output variables of individual political parties. The second aim is to point out and interpret the results of DEA analysis.Key words: Elections, Data Envelopment Analysis (DEA), Efficiency, Political Campaign

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