scholarly journals Efficiency Analysis of Subsidies for Investments using Stochastic Frontier Analysis: Case of Serbia

2018 ◽  
Author(s):  
Veljko Bojovic
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficiency Analysis ◽  
Frontier Analysis

scholarly journals Labour efficiency in construction industry in Europe based on frontier methods: data envelopment analysis and stochastic frontier analysis

2017 ◽  
Vol 23 (6) ◽  
pp. 787-795 ◽  
Author(s):  
Joanicjusz NAZARKO ◽  
Ewa CHODAKOWSKA
Keyword(s):  
Data Envelopment Analysis ◽  
Construction Industry ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficiency Analysis ◽  
European Countries ◽  
Personnel Cost ◽  
Data Envelopment ◽  
Frontier Analysis

The primary problems pertaining to productivity or – more precisely – efficiency are: how to define it and how to measure it. This article studies technical efficiency in Stochastic Frontier Analysis (SFA) – the input-oriented frontier model – in the construction industry and compares it with Data Envelopment Analysis (DEA) results. The models ex­plored in this paper were constructed on the basis of two outputs and personnel cost as an input. The research sample consisted of European countries. The aim was to determine whether there are substantial differences in estimation of ef­ficiency derived from those two alternative frontier approaches. The comparison of results according to the models may translate into higher reliability of the undertaken labour efficiency analysis in construction and its conclusions. Although the results are not characterized by high compatibility, the conducted analysis indicated the most attractive countries taking into account labour cost to profit and turnover ratios of enterprises. One of the determinants which should not be ignored when analysing the labour efficiency is the level of development of a country; however, it is not the sole factor affecting the efficiency of the sector.

scholarly journals TECHNICAL EFFICIENCY ANALYSIS IN INDONESIAN FISHERY PROCESSING INDUSTRY: A CASE OF FISHERY CANNED PRODUCT FIRMS

2019 ◽  
Vol 9 (1) ◽  
pp. 53
Author(s):  
Munawar Asikin ◽  
Arief Daryanto ◽  
Machfud . ◽  
Subagio Dwijosumono
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficiency Analysis ◽  
Least Square ◽  
Time Varying ◽  
Efficient Manner ◽  
Processing Industry ◽  
Frontier Analysis ◽  
Ordinary Least Square

This study aims to analyze technical efficiency and evaluate the effect of some sources of inefficiency in the Indonesian fishery canned firms during the period of 1990-2015. We calculate technical efficiency using the Stochastic Frontier Analysis (SFA) method with Time Varying Decay. The average of technical efficiency in this industry during the period of 1990-2015 was only 57%. It indicates that firms in this industry still encounter a problem in allocating the resources in efficient manner.  However, during the period of 1994-2015, the efficiency in the Indonesian fishery canned industry has declined. We also employed the Ordinary Least Square (OLS) method to evaluate the sources of inefficiency. The results showed that eight variables affected to the efficiency in this industry, thereby it will reduce fishery product competitiveness in the future

scholarly journals Technical Efficiency Analysis of Wheat Crop in Arid Region of Punjab, Pakistan

2021 ◽  
pp. 1-9
Author(s):  
Muhammad Fahad Irfan ◽  
Muhammad Umer Afzal ◽  
Kaif Matloob ◽  
Irfan Ahmad Baig
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Efficiency Analysis ◽  
Primary Data ◽  
Wheat Crop ◽  
Analysis Model ◽  
Frontier Analysis ◽  
The Mean

The present study aims to estimate the possible effects of credit on production of wheat crop in Chakwal. The research was based on primary data gathered from 120 farmers, selected by using random sampling technique belonging to two tehsils i.e. Talagang and Chakwal. SFA (Stochastic Frontier Analysis) model was adapted to analyze the data and the results show the mean technical efficiency of the wheat crop was 82 percent for borrowers and 76 percent for non-borrowers. The results proposed that the technical efficiency of wheat growers can be increased by increasing loan disbursement in the area.

scholarly journals Computing nonperforming loan prices in banking efficiency analysis

2021 ◽  
Author(s):  
Elisa Fusco ◽  
Bernardo Maggi
Keyword(s):  
Stochastic Frontier Analysis ◽  
Panel Study ◽  
Stochastic Frontier ◽  
Efficiency Analysis ◽  
Banking Efficiency ◽  
Frontier Analysis ◽  
Nonperforming Loans ◽  
European Banks ◽  
Regulatory Interventions ◽  
Recent Financial Crisis

AbstractWithin the framework of banking efficiency analysis, we propose a methodology for computing unobservable shadow prices for nonperforming loans (NPL). Our approach is to include NPL as an undesirable output variable in a distance function stochastic frontier analysis. We conduct a panel study of US and European banks during the most recent financial crisis by adopting a semi-nonparametric Fourier specification, which ensures convergence to the true values of both the estimated function and the related efficiency. Computing NPL prices has several advantages, such as identifying approaching crises, quantifying the responsibilities of governments and banks for credit risk and determining appropriate regulatory interventions.

scholarly journals Diversifikasi Aset, Risiko Bank, Ukuran Bank, dan Likuiditas Bank terhadap Efisiensi Bank Syariah dengan Metode SFA

2020 ◽  
Vol 10 (1) ◽  
pp. 129
Author(s):  
Anggraeni Anggraeni ◽  
Iik Arie Saputri
Keyword(s):  
Statistical Analysis ◽  
Commercial Banks ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Financial Statements ◽  
Efficiency Analysis ◽  
Bank Risk ◽  
Frontier Analysis ◽  
Negative Effect ◽  
Positive Effect

The purpose of this study is to examine the effect of Asset Diversification, Bank Risk, Bank Size and Bank Liquidity on the Efficiency of Sharia Banks Using Stochastic Frontier Analysis (SFA). This research methodology uses eleven Sharia Commercial Banks in Indonesia that have been registered with the OJK for the 2014-2018 period. The results of the data obtained in the quarterly financial statements per December were analyzed using efficiency analysis using Frontier 4.1 and descriptive and statistical analysis through the SPSS 16.0 program.The results showed that ADIV-HHI, NPF, and FDR had a negative effect on efficiency. Whereas Total Assets has a positive effect on Efficiency. And ADIV-HHI, NPF, Total Assets, and FDR simultaneously have a significant effect.

Cost Efficiency Analysis in the Banking Industry

2020 ◽  
Vol 7 (2) ◽  
pp. 1-20
Author(s):  
Gazmend Nure
Keyword(s):  
Cost Efficiency ◽  
Commercial Banks ◽  
Stochastic Frontier Analysis ◽  
Banking Industry ◽  
Stochastic Frontier ◽  
Efficiency Analysis ◽  
Frontier Analysis ◽  
Relative Lack ◽  
Boundary Model ◽  
The Stability

The efficiency of commercial banks is essential for the stability of banks by implying that banks that take higher risks are more inefficient. This paper builds on a stochastic heteroscedastic boundary model, where one will analyze a sample of 70 banks in Western Balkan countries such as Albania, Northern Macedonia, Serbia, Kosovo, and Montenegro for the period 2007-2017, highlighting determinants of bank cost efficiency. Banks with less liquidity, with a lower solvency rate and a higher credit risk, are more ineffective than prudent credit institutions. The paper also aims to address the relative lack of studies on the efficiency of banks in the region through the use of the stochastic frontier analysis (SFA).

scholarly journals The Effect of Employing Temporary Workers on Efficiency: Evidence From a Meta-Frontier Analysis

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110581
Author(s):  
Koangsung Choi ◽  
Chung Choe ◽  
Daeho Lee
Keyword(s):  
Technical Efficiency ◽  
Statistical Methods ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficiency Analysis ◽  
Temporary Workers ◽  
Frontier Analysis ◽  
Heterogeneous Technologies ◽  
The Impact

This study examines the impact of employing temporary workers on technical efficiency (TE) by employing stochastic frontier analysis (SFA) and meta-frontier analysis (MFA). These two statistical methods yield slightly different, yet empirically meaningful, results. SFA—the more conventional methodology for conducting efficiency analysis—confirms that firms with temporary workers show a somewhat lower level of TE; while MFA, which allows a comparison of TE across groups with heterogeneous technologies, reveals that firms hiring temporary workers are technologically less efficient and have a more pronounced relative gap in efficiency. With the application of MFA, it was observed that firms hiring only temporary workers come farther to the meta-frontier than their counterparts.

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