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

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 Evaluation of Decision-making Units in Reducing Traffic Accidents Using Data Envelopment Analysis

2020 ◽  
Vol 5 (2) ◽  
pp. 105-114
Author(s):  
Mohammad Reza Omidi ◽  
◽  
Nabi Omidi ◽  
Asad Mahmoudian Azar Sharabiani ◽  
◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Traffic Accidents ◽  
Returns To Scale ◽  
Economic Consequences ◽  
Type Model ◽  
Fars Province ◽  
Data Envelopment ◽  
Variable Model ◽  
Traffic Police ◽  
Using Data

Background: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use Data Envelopment Analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determining the amount of optimal input resources of each provincial unit. Materials and Methods: The model used in this research had three inputs, including the level of equipment at the disposal, the level of the approved provincial budget, and the level of manpower at the disposal. It also had two outputs, including the score of reduction of casualties and the score of reduction of deaths in traffic accidents. The “returns to scale” was considered as a variable model, and the input model was an axial-type model. The DEAP software was used for data analysis. Results: The highest decrease in deaths in traffic accidents (in 2018) was related to Fars Province with 119 people, and the highest decrease in the number of injured cases was related to Khorasan Razavi Province with 1495 people. The RAHVAR Police (Traffic Police of Iran) in Tehran Province had the highest level of input resources, including manpower, equipment, and approved budget. Performance measurement for 2018 showed that out of 31 provinces studied, 10 provinces had a good performance and 21 provinces had acted inefficiently. The research results showed that the proper allocation of resources could push all units to the brink of efficiency. Conclusion: The trend of accidents in Iran is declining. Most of the RAHVAR Police units operate at an inefficient level, which by increasing their efficiency, the number of accidents can be reduced with a greater slope.

scholarly journals Pengukuran Efisiensi Kinerja Sekolah Dasar lewat Model Data Envelopment Analysis

2017 ◽  
Vol 36 (2) ◽  
Author(s):  
Siti Fatimah ◽  
Umi Mahmudah
Keyword(s):  
Elementary Schools ◽  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Returns To Scale ◽  
Scale Model ◽  
Data Envelopment ◽  
Public Elementary Schools ◽  
Crs Model ◽  
Using Data ◽  
Constant Returns To Scale

This study aims to measure the performance efficiency of elementary schools in Special Capital Region of Jakarta, especially Central Jakarta district in the period 2014/2015 by using data envelopment analysis (DEA) approach. DEA is a non-parametric method to measure efficiency of decision making units (DMUs). DEA compares several homogeneous DMUs based on a number of inputs to produce the expected outputs. This study uses descriptive method using DMU as many as 103 public elementary schools that are A-accredited with three inputs and four outputs. Data is analyzed using DEAP version 2.1 application by comparing CRS (Constant Returns to Scale) model and VRS (Variable Returns to Scale) model. Results show that: 1) in CRS model, there are 8 public elementary schools (7.77 percent) have efficient performances while in VRS model there are 14 public elementary schools (13.59 percent) have efficient performances; 2) VRS model is better than CRS model in measuring the efficiency performance of public elementary schools in Central Jakarta.

scholarly journals Measuring Tourism Efficiency of European Countries by Using Data Envelopment Analysis

2017 ◽  
Vol 13 (10) ◽  
pp. 31 ◽  
Author(s):  
Halenur Soysal-Kurt
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Returns To Scale ◽  
Tourism Industry ◽  
European Countries ◽  
Data Envelopment ◽  
Micro Level ◽  
Input Variables ◽  
Using Data ◽  
Constant Returns To Scale

This study aims to measure relative efficiency of 29 European countries with the data of the year 2013 using input-oriented and constant returns to scale Data Envelopment Analysis and to offer improvement suggestions for the countries found inefficient based on their measured relative efficiency scores. Three input and three output variables are used to assess relative performances of the countries. In this study, tourism expenses, number of employees and number of beds are used as input variables; tourism receipts, tourist arrivals and number of nights spent are used as output variables. As the result of the analysis, 16 countries are found relatively efficient and 13 countries are found relatively inefficient. This study is one of the few publications within the scope of European countries based on data envelopment analysis. Unlike most researches evaluating the efficiency of tourism establishments at the micro level, this paper is thought to contribute to the related literature as it evaluates relative efficiency of the countries at the macro level for tourism industry. Considering the variables used in the analysis, it is expected to give ideas to relatively inefficient European countries on efficiency improvement.

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 EVALUATION OF PLASTERING CREW PERFORMANCE IN BUILDING PROJECTS USING DATA ENVELOPMENT ANALYSIS

2014 ◽  
Vol 22 (6) ◽  
pp. 926-940 ◽  
Author(s):  
Ibrahim Halil GEREK ◽  
Ercan ERDIS ◽  
Gulgun MISTIKOGLU ◽  
Mumtaz A. USMEN
Keyword(s):  
Data Envelopment Analysis ◽  
Management Practices ◽  
Research Question ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Building Projects ◽  
Unit Costs ◽  
Using Data ◽  
A Company ◽  
Variable Returns To Scale

The research question addressed in this study was how the performance of construction crews working in a certain project or locality could be evaluated, ranked and improved. To develop and demonstrate the relevant framework, data envelopment analysis (DEA) was applied to establish the relative efficiency of plastering crews working in building projects located in different cities around Turkey. Data were collected from 40 crews of varying characteristics, and their technical efficiency scores were computed using the Banker, Charnes and Cooper (BCC) model, which is based on variable returns-to-scale (VRS). The model yields efficiency scores that range between 0 and 1, and a company or crew is considered efficient if its score is 1.0 (100%). Efficient and inefficient crews were identified and ranked on this basis in the study. Cross tabulation analyses were subsequently conducted to gain further insights into the relationships between the efficiency scores and input factors of numbers of skilled and unskilled laborers, daily labor unit costs, work hours, average age of crew members, total crew experience, plastering location, plastering technique, and plaster type. No discernible relationship could be identified between the efficiency scores and productivity outputs of the crews. It was found that plastering technique, plastering location, and total crew experience had a significant association with crew efficiency. Efficiency improvement strategies identified included training, hiring experienced plasterers, adopting more advanced plastering technology, implementing better jobsite management practices, and enhancing workers’ knowledge, skills and attitude towards productivity and quality.

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.

scholarly journals Efficiency in the Worst Production Situation Using Data Envelopment Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Md. Kamrul Hossain ◽  
Anton Abdulbasah Kamil ◽  
Adli Mustafa ◽  
Md. Azizul Baten
Keyword(s):  
Data Envelopment Analysis ◽  
Shape Parameter ◽  
Pareto Distribution ◽  
Maximum Output ◽  
Data Envelopment ◽  
Dea Efficiency ◽  
Dea Method ◽  
Stochastic Data ◽  
Using Data ◽  
Decision Making Units

Data envelopment analysis (DEA) measures relative efficiency among the decision making units (DMU) without considering noise in data. The least efficient DMU indicates that it is in the worst situation. In this paper, we measure efficiency of individual DMU whenever it losses the maximum output, and the efficiency of other DMUs is measured in the observed situation. This efficiency is the minimum efficiency of a DMU. The concept of stochastic data envelopment analysis (SDEA) is a DEA method which considers the noise in data which is proposed in this study. Using bounded Pareto distribution, we estimate the DEA efficiency from efficiency interval. Small value of shape parameter can estimate the efficiency more accurately using the Pareto distribution. Rank correlations were estimated between observed efficiencies and minimum efficiency as well as between observed and estimated efficiency. The correlations are indicating the effectiveness of this SDEA model.

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