scholarly journals Efficiency of European Airports: Parametric Versus Non-parametric Approach

2021 ◽  
Vol 12 (1) ◽  
pp. 1-14
Author(s):  
Marketa Matulova ◽  
Jana Rejentova
Keyword(s):  
Normal Distribution ◽  
Stochastic Frontier Analysis ◽  
Parametric Method ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Evaluation Procedure ◽  
Frontier Analysis ◽  
Single Output ◽  
Dea Models ◽  
Non Parametric

This paper presents a performance evaluation of European airports, based on the application of both parametric and non-parametric approaches. We have evaluated the 115 busiest airports in Europe according to the number of passengers checked-in in 2018. The four inputs we used were the number of Terminals, Runways, Boarding gates, and Aircraft stands. Three variables were used to describe the outputs, namely, Passengers, Movements, and Cargo. The parametric method we chose to apply was the Stochastic Frontier Analysis (SFA) with the Cobb-Douglas production function, the Half-Normal distribution of inefficiency component, and the Normal distribution of an error term. As a basic SFA model only allows for a single output, we employed different methods to get a single efficiency score for each and every airport. Next, we evaluated the airport performance non-parametrically using several Data Envelope Analysis (DEA) models including the super-efficiency model. We compared the results obtained by individual approaches and discussed their pros and cons. Finally, we applied the program evaluation procedure to explore the effect of the different forms of airports ownership on their performance.

scholarly journals A Novel Hybrid Parametric and Non-Parametric Optimisation Model for Average Technical Efficiency Assessment in Public Hospitals during and Post-COVID-19 Pandemic

2021 ◽  
Vol 9 (1) ◽  
pp. 7
Author(s):  
Mirpouya Mirmozaffari ◽  
Reza Yazdani ◽  
Elham Shadkam ◽  
Seyed Mohammad Khalili ◽  
Leyla Sadat Tavassoli ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Financial Stability ◽  
Stochastic Frontier Analysis ◽  
Parametric Method ◽  
Stochastic Frontier ◽  
Integrated Approach ◽  
Public Hospitals ◽  
Statistical Testing ◽  
Frontier Analysis ◽  
Non Parametric

The COVID-19 pandemic has had a significant impact on hospitals and healthcare systems around the world. The cost of business disruption combined with lingering COVID-19 costs has placed many public hospitals on a course to insolvency. To quickly return to financial stability, hospitals should implement efficiency measure. An average technical efficiency (ATE) model made up of data envelopment analysis (DEA) and stochastic frontier analysis (SFA) for assessing efficiency in public hospitals during and after the COVID-19 pandemic is offered. The DEA method is a non-parametric method that requires no information other than the input and output quantities. SFA is a parametric method that considers stochastic noise in data and allows statistical testing of hypotheses about production structure and degree of inefficiency. The rationale for using these two competing approaches is to balance each method’s strengths, weaknesses and introduce a novel integrated approach. To show the applicability and efficacy of the proposed hybrid VRS-CRS-SFA (VCS) model, a case study is presented.

scholarly journals The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models

2010 ◽  
Vol 2010 ◽  
pp. 1-20 ◽  
Author(s):  
Marcus Vinicius Pereira de Souza ◽  
Madiagne Diallo ◽  
Reinaldo Castro Souza ◽  
Tara Keshar Nanda Baidya
Keyword(s):  
Cost Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Fundamental Aspect ◽  
Data Envelopment ◽  
Electricity Distribution ◽  
Frontier Analysis ◽  
Dea Models ◽  
The Cost ◽  
Analysis Models

The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA (Data Envelopment Analysis) and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the regulator's skill to compare the performance of the utilities, a fundamental aspect in incentive regulation schemes. In addition, this paper also addresses the problem of identifying outliers and influential observations in deterministic nonparametric DEA models.

scholarly journals Factors Affecting Technical Efficiency of Rubber Smallholders in Negeri Sembilan, Malaysia

2017 ◽  
Vol 9 (5) ◽  
pp. 226
Author(s):  
A. Aliyu ◽  
Ismail Abd Latif ◽  
Mad Nasir Shamsudin ◽  
Nolila Mohd Nawi
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Likelihood Function ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Farm Size ◽  
Cross Sectional ◽  
Frontier Analysis ◽  
The Mean ◽  
Size Task

The main objective of the study was to figure out, identify and analyse the technical efficiency of rubber smallholders’ production in Negeri Sembilan, Malaysia. Multi-stage data collection procedures, comprising both purposive and random sampling techniques, were used. Using structured questionnaires, farm-level information with cross sectional data from five districts of Negeri Sembilan, were employed in the study. A parametric Stochastic Frontier Analysis (SFA), with a transcendental logarithmic (Translog) functional form, was used in the study. The descriptive statistics results revealed that, the mean rubber yield was 5465 kg while that of the seven inputs used include 1.2 ha, 602.7, 2.33, 363.6 kg, 13.0 lit, 13.2 man days and 2.47 respectively for farm size, task, farm tools, fertilizer, herbicides, labour and rubber clones.The inferential statistics showed that, the mean technical efficiency was found to be 0.73 with a standard deviation of 0.089. Thus, this translates that 27% accounted for technical inefficiency. Both the sigma square and gamma coefficients were found to be statistically significant at 1% level. The Log Likelihood Function (LLF) and the Log Rati (LR) test were found to be respectively 167.7 and 34.07. The results further revealed that, although none of the farms were found to be on the frontier, however, 9 farms were very near the frontier with efficiency score range between 0.90-0.99. And twenty (20) firms have range 0.80-0.90. Race, Tapping experience, household number and extension agent’s visits were found to be technically significant and are thus critical in determining technical efficiency of rubber smallholders in Negeri Sembilan, Malaysia.

Technical Efficiency Through Innovative Methods and Estimations in Financial Markets

2021 ◽  
pp. 55-70
Author(s):  
Aikaterini Kokkinou
Keyword(s):  
Financial Markets ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Efficiency Estimation ◽  
Non Parametric

This paper investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). This chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency in financial markets level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level. This chapter investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). More specifically, this chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency, its industrial level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level.

A Matrix Variate Closed Skew-Normal Distribution with Applications to Stochastic Frontier Analysis

2007 ◽  
Vol 36 (9) ◽  
pp. 1691-1703 ◽  
Author(s):  
J. Armando Domínguez-Molina ◽  
Graciela González-Farías ◽  
Rogelio Ramos-Quiroga ◽  
Arjun K. Gupta
Keyword(s):  
Normal Distribution ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Skew Normal Distribution ◽  
Frontier Analysis ◽  
Skew Normal

scholarly journals The Cost of Reducing Municipal Unsorted Solid Waste: Evidence from Municipalities in Chile

2021 ◽  
Vol 13 (12) ◽  
pp. 6607
Author(s):  
Maria Molinos-Senante ◽  
Alexandros Maziotis
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Marginal Cost ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Economic Cost ◽  
Well Being ◽  
Efficiency Score ◽  
Frontier Analysis ◽  
Waste Sector

The management of municipal solid waste sector is crucial for a sustainable circular economy. Waste utilities are expected to provide high quality solid waste services at an affordable price. The efficient management of solid waste requires its assessment from an economic and environmental perspective, i.e., eco-efficiency assessment. Although the reduction of unsorted waste incurs an economic cost, its positive externalities are huge for the well-being of society, the environment, and people. Our study quantifies the marginal cost of reducing any unsorted waste using stochastic frontier analysis techniques which allow us to estimate the eco-efficiency of the waste sector. Our empirical approach focuses on the municipal solid waste collection and recycling services provided by several waste utilities in Chile. The results indicate that substantial eco-inefficiency in the sector exists, since the average eco-efficiency score is roughly 0.5 which means that the municipalities could approximately halve their operational costs and unsorted waste to produce the same level of output. The average marginal cost of reducing unsorted waste is 32.28 Chilean pesos per ton, although notable differences are revealed among the waste utilities evaluated. The results provided by this study are of great interest to stakeholders to promote sustainable management solutions and resource efficient solid waste services.

scholarly journals Profit efficiency of shariah banks in Indonesia and the determining factors: Using Stochastic Frontier Analysis Method

2016 ◽  
Vol 19 (2) ◽  
pp. 271 ◽  
Author(s):  
Sri Wahyuni ◽  
Pujiharto Pujiharto
Keyword(s):  
Stochastic Frontier Analysis ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Capital Adequacy ◽  
Profit Efficiency ◽  
Global Crisis ◽  
Frontier Analysis ◽  
Business Units ◽  
Determining Factors

This study aims to measure the efficiency of profit and examine the factors that affect the efficiency of shariah banks profit in Indonesia such as the size of banks, risk financing, and capital adequacy. This study used the Shariah banks in Indonesia, during the period of 2010-2014. These shariah banks were selected as the sample Commercial shariah banks and Shariah Business Units. This study uses three stages of research. First, it measures the efficiency of profit using a parametric approach that is Stochastic Frontier Approach (SFA). Secondly, its uses regression profit efficiency scores with various determinants of profit efficiency. The third phase is testing the efficiency score during the global crisis (2008-2009) and after the global crisis period (2010-2014). It shows that in overall there occurred profit efficiency in the shariah banks in Indonesia as it was indicated by the score of profit efficiency that is less than one. The inefficiency occurred in both Shariah banks and shariah business units. Bank size has a positive impact on profit efficiency. The bigger the bank, the better profit efficiency is. It can be implied that this research provides the managers the clues that shariah banks should improve their profit efficiency management. For Bank Indonesia, they can use this evidence to design policies that can encourage profit efficiency in shariah banks.

scholarly journals Sensitivity of technical efficiency estimates to estimation methods: an empirical comparison of parametric and non-parametric approaches

2014 ◽  
Vol 8 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Henry de-Graft Acquah
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Ordinary Least Squares ◽  
Estimation Methods ◽  
Strong Positive Correlation ◽  
Production Frontier ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Non Parametric

This paper highlights the sensitivity of technical efficiency estimates to estimation approaches using empirical data. Firm specific technical efficiency and mean technical efficiency are estimated using the non parametric Data Envelope Analysis (DEA) and the parametric Corrected Ordinary Least Squares (COLS) and Stochastic Frontier Analysis (SFA) approaches. Mean technical efficiency is found to be sensitive to the choice of estimation technique. Analysis of variance and Tukey’s test suggests significant differences in means between efficiency scores from different methods. In general the DEA and SFA frontiers resulted in higher mean technical efficiency estimates than the COLS production frontier. The efficiency estimates of the DEA have the smallest variability when compared with the SFA and COLS. There exists a strong positive correlation between the efficiency estimates based on the three methods.  

scholarly journals Measuring banking efficiency in Vietnam: parametric and non-parametric methods

2019 ◽  
Vol 14 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Loan Thi Vu ◽  
Nga Thu Nguyen ◽  
Linh Hong Dinh
Keyword(s):  
Commercial Banks ◽  
Stochastic Frontier Analysis ◽  
Positive Impact ◽  
Parametric Method ◽  
State Ownership ◽  
Tobit Regression ◽  
Banking Efficiency ◽  
Frontier Analysis ◽  
The Impact ◽  
Non Parametric

The article aims to evaluate the business efficiency of commercial banks in Vietnam using both parametric and non-parametric approaches. In this study, the Stochastic Frontier Analysis (SFA), which belongs to a parametric method, and Data Envelopment Analysis (DEA), a non-parametric approach, are applied to a sample of 30 joint stock commercial banks in Vietnam in the period of 2011–2015. Applying Tobit regression model, the impact of bank size, bank age, and the ownership feature on the efficiency of bank service industry in Vietnam is also investigated. The analysis results show that in general, the Vietnamese banking efficiency is improving during the selected period regardless of techniques used. However, there is small level of similarity in efficiency rankings identified from the SFA and DEA models. In terms of efficiency determinants, the results show that all three variables of size, age, and state ownership have a positive impact on bank efficiency.

scholarly journals Analysis of Banking Industry Performance Efficiency in Indonesia Using Parametric and Nonparametric Methods

The Winners ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 53
Author(s):  
Banon Amelda ◽  
Erna Bernadetta Sitanggang
Keyword(s):  
Cross Section ◽  
Stochastic Frontier Analysis ◽  
Banking Industry ◽  
Stock Exchange ◽  
Parametric Method ◽  
Stochastic Frontier ◽  
Nonparametric Methods ◽  
Frontier Analysis ◽  
Efficient Performance ◽  
High Efficient

This research aimed to measure the efficiency performance of the banking industry in Indonesia by using parametric and nonparametric methods, as measured by the stabilization of bank performance efficiency based on the time series from year to year and to identify which variables to the value of efficiency. The analytical method applied the parametric method with cross section approach of Stochastic Frontier Analysis (SFA) while for nonparametric method used intermediation approach from Data Development Analysis (DEA) CRS and VRS model. The data of this research was the financial statements of banks listed on the stock exchange for the period 2012-2016 with 29 databanks processed with the help of Stata 12. From the results of the analysis using the three measures of efficiency, it is known that the efficiency value with Cross Section Stochastic Frontier Analysis shows a stable and high efficient conditions for all banks. While nonparametric methods show different efficiency levels for each bank, which with DEA CRS model not all banks show an efficient performance, only 26,90% on average each year banks have efficient performance, and 99,31% of banks perform efficiently according to VRS model. 

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