scholarly journals Productivity of Nations: A Stochastic Frontier Approach to TFP Decomposition

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Jorge Oliveira Pires ◽  
Fernando Garcia
Keyword(s):  
Technical Change ◽  
Stochastic Frontier Analysis ◽  
Scale Effects ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Developing Nations ◽  
Production Frontier ◽  
Stochastic Frontier Approach ◽  
Frontier Analysis ◽  
Long Period

This paper tackles the problem of aggregate TFP measurement using stochastic frontier analysis. We estimate a world production frontier for a sample of 75 countries over a long period. The “Bauer-Kumbhakar” decomposition of TFP is applied to a smaller sample in order to evaluate the effects of changes in efficiency (technical and allocative), scale effects, and technical change. Estimated technical efficiency scores are compared to productivity indexes offered by nonfrontier studies. We conclude that differences in productivity are responsible for virtually all the differences of growth performance between developed and developing nations and that a large part of this is due to allocative efficiency.

scholarly journals PANEL STOCHASTIC FRONTIER ANALYSIS OF PROFITABILITY AND EFFICIENCY OF TURKISH BANKING SECTOR IN THE POST CRISIS ERA / TURKIJOS BANKŲ SEKTORIAUS VEIKLOS PELNINGUMO IR EFEKTYVUMO ANALIZĖ POKRIZINIU LAIKOTARPIU

2011 ◽  
Vol 12 (4) ◽  
pp. 629-654 ◽  
Author(s):  
Ahmet Faruk Aysan ◽  
Mustafa Mete Karakaya ◽  
Metin Uyanik
Keyword(s):  
Structural Changes ◽  
Banking Sector ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Foreign Banks ◽  
Efficiency Gain ◽  
Stochastic Frontier Approach ◽  
Banking Efficiency ◽  
Frontier Analysis ◽  
Efficiency Measures

This paper examines the efficiency and its relation to profitability in Turkish banking sector by employing Panel Stochastic Frontier Approach. In the post crises period, extensive structural changes have taken place and a great number of new developments have occurred, affecting the efficiency of banking sector. This is the first study that employs panel stochastic frontier approach for banking efficiency in Turkey. In this research, both cost and profit efficiency measures are estimated for the panel data consisting of 32 banks between 2002–2007. Results suggest that there is cost efficiency gain and convergence in the efficiency levels of banks. As another interesting result, foreign banks are less efficient and state banks are more efficient. This paper also analyzes the relation between efficiency and profitability and finds no robust relation between them. However, the bank size matters more for profitability. Santrauka Autoriai nagrinėja Turkijos bankų veiklą, t. y. jų pelningumą bei efektyvumą pokriziniu laikotarpiu. Šis laikotarpis buvo pasirinktas todėl, kad atsirado daug įvairių struktūrinių pokyčių, kurie turėjo įtakos bankininkystės sektoriaus efektyvumui. Tyrimui buvo pasirinkti 32 Turkijoje veikiantys bankai (jų veiklos rodikliai prieš ekonominę krizę ir po jos). Rezultatai rodo, kad Turkijoje veikiančių užsienio komercinių bankų veikla yra mažiau efektyvesnė nei valstybinių. Taip pat autoriai analizuoja bankų veiklos efektyvumo ir pelningumo santykį, tačiau, kaip rodo gauti rezultatai, stipraus ryšio tarp jų nėra.

scholarly journals Analisi Efisiensi Teknis, Alokatif dan Ekonomi Produksi Kubis di Kabupaten Karo

JURNAL AGRICA ◽  
2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Esra Frandika Barus
Keyword(s):  
Economic Efficiency ◽  
Stochastic Frontier Analysis ◽  
New Technologies ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Frontier Analysis ◽  
Managerial Skills ◽  
Low Efficiency ◽  
Farming Efficiency ◽  
Input Amount

The needs of cabbages tends to increase. Meanwhile, cabbage production is not optimal and just seasonal. However, demands of cabbages in export field are high so, it makes the cabbage farming is a strategic area to be developed. To increase production through increasing the use of inputs and using new technologies is relatively difficult because it requires high costs. Therefore,  increasing production by improving farming efficiency is a relevant option. Farmers’ managerial skills and their combining various production inputs ability will affect the production. Efficient use of input amount (allocative efficiency) and a good technical efficiency are important for increasing the production. Production of cabbage farming efficiency was analyzed by using stochastic frontier analysis (SFA). The results of the analysis showed that the technical, allocative and economic efficiency of cabbage farming in Karo District had not achieved. The average of the technical, allocative and economic efficiency values of the respondent were 0.697, 0.374 and 0.215. These results indicate that low efficiency is a contributing factor to the low productivity of the cabbage farmer respondents' in Karo District. Several factors that have a significant effect on the efficiency are farming experience, labor ratio, land ownership status and cabbage lifespan.

Brand Image and its Determinants: A Stochastic Frontier Approach Analysis

2019 ◽  
Vol 17 (1) ◽  
pp. 1-22
Author(s):  
Vinay Goyal
Keyword(s):  
Perceived Risk ◽  
Stochastic Frontier Analysis ◽  
Brand Image ◽  
Stochastic Frontier ◽  
Stochastic Frontier Approach ◽  
Data Set ◽  
National Brands ◽  
Frontier Analysis ◽  
Secondary Sources ◽  
The Relationship

Abstract This paper addresses an important issue to find relationship between the brand image and its determinants. Based on a data set of 136 brand characteristics measured for 700 top American national brands obtained from a survey of 4769 respondents as well as secondary sources (Lovett, Peres, and Shachar. 2014. “A Data Set of Brands and Their Characteristics.” Marketing Science 33 (4): 609–17), this study adopted an established econometrics approach (Stochastic frontier analysis) that has not been extensively applied in the marketing literature. The approach discussed in this paper can be used as an analysis framework where the concept of efficiency is brought into the picture in analyzing the relationship between the brand image with its associates. It is found that competency and familiarity are two main features that increase brand equity, whereas perceived risk and excitement decreases it.

scholarly journals Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

2017 ◽  
Author(s):  
Xiaobo Shen ◽  
Boqiang Lin
Keyword(s):  
Energy Efficiency ◽  
Technical Efficiency ◽  
Technical Change ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Industrial Sector ◽  
Scale Efficiency ◽  
Efficiency Change ◽  
Output Data ◽  
Frontier Analysis

Based on stochastic frontier analysis and translog input distance function, this paper examines the total factor energy efficiency of China’s industry using input-output data of 30 sub-industries from 2002 to 2014, and decomposes the changes in estimated total factor energy efficiency into the effects of technical change, technical efficiency change, scale efficiency change and input-mix effect. The results show that during this period the total factor energy efficiency in China’s industry grows annually at a rate of 3.63%, technical change, technical efficiency change and input-mix effect contribute positively to the change in total factor energy efficiency, while scale efficiency change contributes negatively to it.

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 Eficiencia técnica de pesquerías con heterogeneidad inobservada

2019 ◽  
Vol 37 (3) ◽  
pp. 101
Author(s):  
David Castilla Espino ◽  
Juan José García del Hoyo
Keyword(s):  
Technical Efficiency ◽  
Latent Class ◽  
Stochastic Frontier Analysis ◽  
Unobserved Heterogeneity ◽  
Stochastic Frontier ◽  
Production Model ◽  
Stochastic Frontier Model ◽  
Production Frontier ◽  
Frontier Analysis ◽  
Production Activity

Fisheries production is subject to a significant variability caused no only by the stochastic nature of fisheries due to uncontrolled environmental and biological conditions, but also by factors related to production activity. It is necessary to take into consideration all these factors to avoid biases on production model estimates. This paper aims to go through this variability in Stochastic Frontier Analysis to account for observed and unobserved heterogeneity together with technical efficiency and randomness. This paper exemplifies the application of a Latent Class Stochastic Frontier model to the anchovy fishery of Southeastern Black Sea to account for production frontier heterogeneity. Results show a mean level of technical efficiency of 55%, which is higher than those produced by the standard stochastic frontier model. Moreover, results allow identifying two latent classes in the fleet. They also provide sound scientific advice for de management of the fishery.

scholarly journals Drivers of Farm Efficiency in Turkey: A Stochastic Frontier Analysis

2015 ◽  
Vol 1 (1) ◽  
pp. 45 ◽  
Author(s):  
Hasan Dudu ◽  
Erol Cakmak ◽  
Nadir Öcal
Keyword(s):  
Data Model ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Farm Size ◽  
Farm Household ◽  
Efficient Production ◽  
Production Frontier ◽  
Frontier Analysis ◽  
Household Level ◽  
The Mean

This paper analyzes the efficiency structure of Turkish agriculture in farm household level by using various models of stochastic frontier analysis. A household level survey conducted in 2002 and 2004 is used in the analysis. Firstly, an efficient production frontier is estimated by a panel data model. By using these estimates, relative importance of inputs and their interaction with various farm characteristics are inspected. The parameters of production frontier show that agricultural production is crucially dependent on land and there is an excessive employment of labor. Secondly, the efficiency scores are estimated at farm household level. The results are reported according to NUTS-I regional classification and many other farm specific characteristics. The western parts of the country are found to be relatively more efficient and there is a high deviation in the mean efficiencies of different regions. There is an increase in mean efficiencies of all regions from 2002 to 2004. Besides, crop patterns, farm size, education level of household chief and irrigation are found to be effective on efficiency.

scholarly journals Measuring the Efficiency of BAZNAS in Managing Zakat Funds with Stochastic Frontier Approach Analysis, 2002–2016

2018 ◽  
Vol 3 (1) ◽  
pp. 89-107
Author(s):  
Risanda A. ◽  
Faishol Luthfi ◽  
Sri Herianingrum
Keyword(s):  
Time Series ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Time Series Data ◽  
Stochastic Frontier ◽  
Series Data ◽  
Stochastic Frontier Approach ◽  
Frontier Analysis ◽  
Operational Costs ◽  
Input Variables

This study aims to measure the technical efficiency and identify factors that cause technical inefficiency of Badan Amil Zakat Nasional (BAZNAS) in managing zakat funds on receipt and the distribution of zakat funds. The data used were time series data from 2002 to2016. The input variables used were total assets and operational costs, while the output variables were the receipt of zakat funds and the distribution of zakat funds. Using stochastic frontier analysis, this study has successfully identified that total assets and operational costs had a positive and significant effect on the receipt of zakat funds. The same results also demonstrated that the operational costs for the distribution of zakat funds had a positive and significant effect. The results for total assets on distribution of zakat funds were positive but not significant. Overall, the technical efficiency regarding the receipt of BAZNAS zakat funds was found to be 94.98 percent, which means that there is 5.02 percent remaining that could still be optimized, while technical efficiency regarding the distribution of BAZNAS zakat funds was found to be 70.99 percent, leaving 29.01 percent that could still be optimized. Keywords: Badan Amil Zakat Nasional (BAZNAS), Stochastic Frontier Analysis, Technical Efficiency

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