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Journal articles on the topic 'Stochastic frontier analysi'

Author: Grafiati

Published: 21 February 2023

Last updated: 14 March 2023

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1

Sakong, Jin, and Jeongkyu Kim. "An Analysis on the Determinants of Efficiency of the Pharmaceutical Firms using Stochastic Frontier Analysis." Health Policy and Management 25, no. 2 (2015): 97–106. http://dx.doi.org/10.4332/kjhpa.2015.25.2.97.

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2

Tsionas, Mike G. "Bounded rationality and thick frontiers in stochastic frontier analysis." European Journal of Operational Research 284, no. 2 (2020): 762–68. http://dx.doi.org/10.1016/j.ejor.2019.12.010.

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3

Sadalia, Isfenti, Muhammad Haikal Kautsar, Nisrul Irawati, and Iskandar Muda. "Analysis of the efficiency performance of Sharia and conventional banks using stochastic frontier analysis." Banks and Bank Systems 13, no. 2 (2018): 27–38. http://dx.doi.org/10.21511/bbs.13(2).2018.03.

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There are two sectors of banks operating in Indonesia, namely Sharia banks and conventional banks. Improving performance is important in maintaining public confidence in the bank. Efficiency is one of the parameters to measure the performance of Sharia banks. This study measures the comparative level of technical efficiency of Sharia commercial banks and conventional banks by Stochastic Frontier Analysis method during 2011–2015 period by using 10 samples of Sharia commercial banks and conventional banks. Input variables in this study are total deposits, operational costs, and other operational

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Chaovanapoonphol, Yaovarate, Jittima Singvejsakul, and Songsak Sriboonchitta. "Technical Efficiency of Rice Production in the Upper North of Thailand: Clustering Copula-Based Stochastic Frontier Analysis." Agriculture 12, no. 10 (2022): 1585. http://dx.doi.org/10.3390/agriculture12101585.

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This study examines the efficiency of rice production in Thailand, especially major rice, which is the main crop of farmers in all regions of Thailand and is still a pressing issue. Analyzing technical efficiency by using the appropriate analytical tools inevitably brings about determining the correct production efficiency measures. In this study, we applied the k-means algorithm and copula-based stochastic frontier model to cluster farmer groups in order to find the different factors that impact the group, and to relax the assumption of the two components of random error, which is that they a

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5

Schmidt, Peter. "Stochastic Frontier Analysis." Economic Journal 112, no. 477 (2002): F156—F158. http://dx.doi.org/10.1111/1468-0297.0688l.

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6

Dellnitz, Andreas, and Andreas Kleine. "Multiple input-output frontier analysis – From generalized deterministic to stochastic frontiers." Computers & Industrial Engineering 135 (September 2019): 28–38. http://dx.doi.org/10.1016/j.cie.2019.05.028.

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Ferruz Agudo, Luis, João Serafim Tusi da Silveira, Daniel Knebel Baggio, Isoé Nícolas Schneider, and Maria Margarete Baccin Brizolla. "Stochastic frontiers of efficiency for Brazilian investment funds: a panel data analysis." Investment Management and Financial Innovations 16, no. 4 (2019): 352–65. http://dx.doi.org/10.21511/imfi.16(4).2019.30.

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Foundations, methodological and empirical possibilities of measurement and analysis in the performance of financial investments within investment funds have been developed since they were once introduced in the 1970s, thus establishing a path of growing acceptance in financial markets and universities’ academies. The first approaches over the efficiency of these funds, considering their stochastic implications, occurred in the late 1990s and have evolved with the help of SFA – Stochastic Frontier Analysis, although it still needs more careful verification. This article measured and analyzed th

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Lechtenberg, Christian. "Stochastic Frontier Analysis (SFA)." Controlling 23, no. 12 (2011): 682–83. http://dx.doi.org/10.15358/0935-0381-2011-12-682.

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9

Acquah, Henry de-Graft. "Sensitivity of technical efficiency estimates to estimation methods: an empirical comparison of parametric and non-parametric approaches." Applied Studies in Agribusiness and Commerce 8, no. 1 (2014): 67–72. http://dx.doi.org/10.19041/apstract/2014/1/8.

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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

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10

Din, Musleh-Ud, Ejaz Ghani, and Tariq Mahmood. "Technical Efficiency of Pakistan’s Manufacturing Sector: A Stochastic Frontier and Data Envelopment Analysis." Pakistan Development Review 46, no. 1 (2007): 1–18. http://dx.doi.org/10.30541/v46i1pp.1-18.

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This paper examines the efficiency of the large-scale manufacturing sector of Pakistan using parametric as well as non-parametric frontier techniques. Production frontiers are estimated for two periods─1995-96 and 2000-01─for 101 industries at the 5-digit PSIC. The results show that there has been some improvement in the efficiency of the large-scale manufacturing sector, though the magnitude of improvement remains small. The results are mixed at the disaggregated level: whereas a majority of industrial groups have gained in terms of technical efficiency, some industries have shown deteriorati

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Banker, Rajiv D., Srikant M. Datar, and Madhav V. Rajan. "Measurement of Productivity Improvements: An Empirical Analysis." Journal of Accounting, Auditing & Finance 2, no. 4 (1987): 319–47. http://dx.doi.org/10.1177/0148558x8700200401.

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In this paper, we test for productivity gains resulting from the introduction of a productivity-based incentive program in a large manufacturing plant of a Fortune 500 corporation. We develop a methodology based on a stochastic nonparametric frontier estimation technique to evaluate productivity in the postincentive plan period relative to the pre-incentive plan period. We also test for productivity gains using stochastic parametric frontier approaches. The results of both the nonparametric and parametric stochastic frontier analyses indicate that the incentive program has a positive effect on

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12

Choi, Seokwoo Jake, Gi-Su Kim, and BoKyung Kim. "Economic Efficiency of the Korean Container Terminals: A Stochastic Cost Frontier Approach." Journal of Korea Trade 26, no. 3 (2022): 23–44. http://dx.doi.org/10.35611/jkt.2022.26.3.23.

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Purpose - Recent issues such as vessel enlargement, strengthening of environmental regulations, and port smartization are expected to increase costs and intensify competition in the port industry. In the new normal era, when external growth has reached its limit, the efficient operation of ports is becoming indispensable for achieving sustainable growth. This study aims to identify the determinants of inefficiency by examining the cost structure and efficiency of container terminals in Korea and furthermore propose the political implications to derive the maximization of efficiency. Desi

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13

Olagunju, Kehinde Oluseyi, Adebayo Isaiah Ogunniyi, Zainab Oyetunde-Usman, Abiodun Olusola Omotayo, and Bola Amoke Awotide. "Does agricultural cooperative membership impact technical efficiency of maize production in Nigeria: An analysis correcting for biases from observed and unobserved attributes." PLOS ONE 16, no. 1 (2021): e0245426. http://dx.doi.org/10.1371/journal.pone.0245426.

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The formation of agricultural cooperatives has been widely promoted as an agricultural development policy initiative to help smallholder farmers cope with multiple production and marketing challenges. Using a nationally representative survey dataset of smallholder maize producers from rural Nigeria, this study assesses the impact of agricultural cooperative membership on technical efficiency (TE). We based our estimation approach on the combination of a newly developed sample selection stochastic production frontier model with propensity score matching to control for possible selectivity biase

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14

BALEŽENTIS, Tomas. "STOCHASTIC PRODUCTION FRONTIER FOR THE LITHUANIAN FAMILY FARMS." Journal of Business Economics and Management 17, no. 2 (2016): 283–98. http://dx.doi.org/10.3846/16111699.2013.770791.

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The research follows neo-classical methodology to analyse the trends of the agricultural efficiency. The paper fits the stochastic production frontier to the micro data describing the performance of the Lithuanian family farms during 2004–2009 in order to define the current trends of efficiency and productivity in the sector. Indeed, this is the first application of stochastic frontiers to gauge the performance of Lithuanian family farms. The technical efficiency of the Lithuanian family farms fluctuated around 80%. The analysis confirmed that the livestock farms were peculiar with higher mean

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BALEŽENTIS, Tomas. "STOCHASTIC PRODUCTION FRONTIER FOR THE LITHUANIAN FAMILY FARMS." Journal of Business Economics and Management 17, no. 2 (2016): 283–98. http://dx.doi.org/10.3846/10.3846/16111699.2013.770791.

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The research follows neo-classical methodology to analyse the trends of the agricultural efficiency. The paper fits the stochastic production frontier to the micro data describing the performance of the Lithuanian family farms during 2004–2009 in order to define the current trends of efficiency and productivity in the sector. Indeed, this is the first application of stochastic frontiers to gauge the performance of Lithuanian family farms. The technical efficiency of the Lithuanian family farms fluctuated around 80%. The analysis confirmed that the livestock farms were peculiar with higher mean

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16

Arsad, Roslah, Zaidi Isa, and Siti Nabilah Mohd Shaari. "Estimating Efficiency Performance of Decision-Making Unit by using SFA and DEA Method: A Cross-Sectional Data Approach." International Journal of Engineering & Technology 7, no. 4.33 (2018): 25. http://dx.doi.org/10.14419/ijet.v7i4.33.23478.

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In this paper, a cross-sectional samples data of 115 Malaysian stocks have been employed to compare both Data Envelopment Analysis (DEA) method and Stochastic Frontier Analysis (SFA) method. These approaches are used to provide a review of frontier conceptual measurement, strength and limitation of the parametric and non-parametric models. Stochastic frontier production function of Cobb-Douglas type was utilized for the estimation. The function was estimated using the maximum likelihood estimation technique. Two models in DEA, DEA-CCR and DEA-BCC are applied in this study and the ranking corre

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17

Putri, Devy Ariesta, and Sylva Alif Rusmita. "ANALISIS TINGKAT EFISIENSI BIAYA BANK UMUM SYARIAH DENGAN METODE STOCHASTIC FRONTIER ANALYSIS PERIODE 2015-2018." Jurnal Ekonomi Syariah Teori dan Terapan 7, no. 1 (2020): 199. http://dx.doi.org/10.20473/vol7iss20201pp199-206.

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This study aims to determine the cost efficiency level of Sharia Commercial Banks registered in the OJK for the 2015-2018 period. This study uses a quantitative approach. This study uses a parametric approach to measure the cost efficiency of Islamic banking with the stochastic frontier analysis (SFA) method. The value of cost efficiency using the SFA method is in the form of a value of 100%, the closer it is to the value of 100%, the more efficient the bank works. The analysis technique used is the cross-section model and panel model. This study uses 7 Sharia Commercial Bank samples. Data obt

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18

Belotti, Federico, Silvio Daidone, Giuseppe Ilardi, and Vincenzo Atella. "Stochastic Frontier Analysis using Stata." Stata Journal: Promoting communications on statistics and Stata 13, no. 4 (2013): 719–58. http://dx.doi.org/10.1177/1536867x1301300404.

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19

ALEM, Habtamu. "Effects of model specification, short-run, and long-run inefficiency: an empirical analysis of stochastic frontier models." Agricultural Economics (Zemědělská ekonomika) 64, No. 11 (2018): 508–16. http://dx.doi.org/10.17221/341/2017-agricecon.

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This paper examines the recent advances in stochastic frontier (SF) models and its implications for the performance of Norwegian crop-producing farms. In contrast to the previous studies, we used a cost function in multiple input-output frameworks to estimate both long-run (persistent) and short-run (transient) inefficiency. The empirical analysis is based on unbalanced farm-level panel data for 1991–2013 with 3 885 observations from 455 Norwegian farms specialising in crop production. We estimated seven SF panel data models grouped into four categories regarding the assumptions used to the na

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20

SIPILÄINEN, T., and M. RYHÄNEN. "Technical change in Finnish grass silage production." Agricultural and Food Science 14, no. 3 (2008): 250. http://dx.doi.org/10.2137/145960605775013209.

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Stochastic production frontier analysis is applied in decomposing output growth of grass silage production to technical change, technical efficiency change, scale effect and input growth. For 19902000 in a complete panel of 138 Finnish farms, almost three fourths of the output growth was linked to input growth. The annual technical change, the shift of the production frontier, was on average 1.4 percent. Technical effi- ciency indicated a slightly decreasing tendency, less than 0.2 percent per year. Harvesting techniques were used as indicators of different technologies. The analysis showed t

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21

Ghroubi, Mohamed, and Ezzeddine Abaoub. "A Meta-Frontier Function for the Estimation of Islamic and Conventional Banks’ Cost and Revenue Efficiency: The Case of Malaysia from 2006 to 2012." International Journal of Business and Management 11, no. 5 (2016): 254. http://dx.doi.org/10.5539/ijbm.v11n5p254.

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<p>We measure cost and revenue efficiency of the Islamic and conventional Malaysian banks by using the stochastic frontier method and the meta-frontier analysis (MFA) over the period 2006-2012. The use of MFA allows for the correction of the efficiency measurement errors caused by the technological and operational gap. The specific as well as the common frontiers obtained by the stochastic frontier method show the superiority of Islamic banks (IBs) compared to conventional banks (CBs) in terms of cost and revenue efficiency. This can reflect their high managerial capability. Efficiency m

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22

Rachmawati, Luxy Lutfiana, and Fitri Kartiasih. "ANALISIS EFISIENSI USAHA TERNAK SAPI PERAH MENGGUNAKAN STOCHASTIC FRONTIER ANALYSIS." Bina Ekonomi 22, no. 1 (2019): 27–42. http://dx.doi.org/10.26593/be.v22i1.3385.27-43.

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The Milk Self-sufficiency Program that is targeted to be reached by the year of 2020 is threatened by the increasing of milk imports. Local milk production can only meet 18 to 20 percent of the national milk demand. This study aims to investigate the level of technical efficiency of the people's small hold farmers’ cattles in Java and to analyze factors that influence milk production using Stochastic Frontier Analysis. The results showed that the feed per animal per day had a positive effect on the average milk production per animal per day; while the size of cage per animal had a negative eff

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23

Sakouvogui, Kekoura, Saleem Shaik, Curt Doetkott, and Rhonda Magel. "Sensitivity analysis of stochastic frontier analysis models." Monte Carlo Methods and Applications 27, no. 1 (2021): 71–90. http://dx.doi.org/10.1515/mcma-2021-2083.

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Abstract The efficiency measures of the Stochastic Frontier Analysis (SFA) models are dependent on distributional assumptions of the one-sided error or inefficiency term. Given the intent of earlier researchers in the evaluation of a single inefficiency distribution using Monte Carlo (MC) simulation, much attention has not been paid to the comparative analysis of SFA models. Our paper aims to evaluate the effects of the assumption of the inefficiency distribution and thus compares different SFA model assumptions by conducting a MC simulation. In this paper, we derive the population statistical

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24

Barros, Carlos, and Peter Wanke. "Cost efficiency of African insurance companies using a finite mixture model." South African Journal of Economic and Management Sciences 19, no. 1 (2016): 64–81. http://dx.doi.org/10.4102/sajems.v19i1.1238.

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This paper evaluates the operational practices by African insurance companies from Angola and Mozambique, using a finite mixture model that allows controlling for unobserved heterogeneity. More precisely, a stochastic frontier latent class model is adopted in this research to estimate the cost frontiers for each of the different technologies embedded in this heterogeneity. This model not only enables the identification of different groups of African insurance companies from Angola and Mozambique, but it also permits the analysis of their cost efficiency. The results indicate the existence of t

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BARROS, CARLOS PESTANA, SHUNSUKE MANAGI, and YUICHIRO YOSHIDA. "HETEROGENEITY ON THE TECHNICAL EFFICIENCY IN JAPANESE AIRPORTS." Singapore Economic Review 56, no. 04 (2011): 523–34. http://dx.doi.org/10.1142/s0217590811004419.

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This paper evaluates the production activities of Japanese airports by using a finite mixture model that allows controlling for unobserved heterogeneity. In doing so, a stochastic frontier latent class model, which allows the existence of different technologies, is adopted to estimate production frontiers. This procedure not only enables the identification of different groups of Japanese airports but also permits the analysis of their production efficiency. The main result is that there are two groups of Japanese airports, both following completely different "technologies" to obtain passengers

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Mamonov, Mikhail E., Christopher F. Parmeter, and Artem B. Prokhorov. "Dependence modeling in stochastic frontier analysis." Dependence Modeling 10, no. 1 (2022): 123–44. http://dx.doi.org/10.1515/demo-2022-0107.

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Abstract This review covers several of the core methodological and empirical developments surrounding stochastic frontier models that incorporate various new forms of dependence. Such models apply naturally to panels where cross-sectional observations on firm productivity correlate over time, but also in situations where various components of the error structure correlate between each other and with input variables. Ignoring such dependence patterns is known to lead to severe biases in the estimates of production functions and to incorrect inference.

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Rosko, Michael D., and Ryan L. Mutter. "Stochastic Frontier Analysis of Hospital Inefficiency." Medical Care Research and Review 65, no. 2 (2007): 131–66. http://dx.doi.org/10.1177/1077558707307580.

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Griffin, Jim E., and Mark F. J. Steel. "Bayesian stochastic frontier analysis using WinBUGS." Journal of Productivity Analysis 27, no. 3 (2007): 163–76. http://dx.doi.org/10.1007/s11123-007-0033-y.

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29

Atkinson, Scott E. "A Review of: “Stochastic Frontier Analysis”." Econometric Reviews 24, no. 2 (2005): 243–45. http://dx.doi.org/10.1081/etc-200067955.

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30

Oikawa, Koki. "A microfoundation for stochastic frontier analysis." Economics Letters 139 (February 2016): 15–17. http://dx.doi.org/10.1016/j.econlet.2015.12.006.

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31

Papadopoulos, Alecos, and Christopher F. Parmeter. "Quantile Methods for Stochastic Frontier Analysis." Foundations and Trends® in Econometrics 12, no. 1 (2022): 1–120. http://dx.doi.org/10.1561/0800000042.

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32

Abel, Sanderson, Alex Bara, and Pierre Le Roux. "Evaluating Bank Cost Efficiency Using Stochastic Frontier Analysis." Journal of Economics and Behavioral Studies 11, no. 3(J) (2019): 48–57. http://dx.doi.org/10.22610/jebs.v11i3(j).2868.

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The study seeks to assess the cost efficiency of the commercial banks in Zimbabwe using the stochastic frontier analysis. The cost efficiency of the Zimbabwean banks is estimated using the trans-log stochastic frontier approach. The Stochastic Frontier Analysis methodology is among the host of methods that has been used to measure banking sector efficiency. The analysis of cost efficiency of commercial banks has important implications for the economy since an efficient banking system has potential to reduce interest rates which can lead to increased investment and growth for the economy. The c

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Ikram, M. Abdul Majid, Andry Prasmuko, Donni Fajar Anugerah, and Ina Nurmalia Kurniati. "ANALYSIS OF SECTORAL EFFICIENCY AND THE RESPONSE OF REGIONAL POLICY." Buletin Ekonomi Moneter dan Perbankan 14, no. 3 (2012): 299–318. http://dx.doi.org/10.21098/bemp.v14i3.406.

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This paper analyzes the contributon of primary input; capital anda labor, on sectoral performance in Indonesia. The analysis cover sall sectors both in national and regional level, and also the dynamic of input efficiency across period. Using stochastic frontier production function approach, this paper found the aggregate share of capital is 0.20 and 0.34 for labor; conforming the dominance of labor. The highest three technical efficiency is Mining sector (88.65%), Manufacture (70.47%) and Financial (65.93%), while the lowest one is Electric, Gas and Water (25.38%). Keywords: efficiency, stoch

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Castilla Espino, David, and Juan José García del Hoyo. "Eficiencia técnica de pesquerías con heterogeneidad inobservada." Studies of Applied Economics 37, no. 3 (2019): 101. http://dx.doi.org/10.25115/eea.v37i3.2775.

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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

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Andrade, Antonio Ramos, and Julian Stow. "Assessing the efficiency of maintenance operators: A case study of turning railway wheelsets on an under-floor wheel lathe." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 231, no. 2 (2017): 155–63. http://dx.doi.org/10.1177/1748006x16688606.

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This article assesses the technical efficiency of different operators turning railway wheelsets on an under-floor wheel lathe. This type of lathe is a computer numerical control machine used to turn wheelsets in situ on the train. As railway wheels are turned, a certain amount of the wheel diameter is lost to restore the tread profile and full flange thickness of the wheel. The technical efficiencies of the different wheel lathe operators are assessed using a stochastic frontier analysis, while controlling for other explaining variables such as the flange thickness and the occurrence of rollin

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Waryanto, Budi. "Environmental Efficiency Analysis with one Detrimental Input Variable through A Stochastic Frontier Analysis Approach (A Case Study of Shallot Farming System)." Informatika Pertanian 24, no. 2 (2016): 233. http://dx.doi.org/10.21082/ip.v24n2.2015.p233-244.

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Sustainable agriculture having high complexity, especially related to the choice of using inputs that could potentially harm the environment or often called a detrimental input. In order to realize sustainable agriculture, the level of efficiency of the use of these inputs must be able to measure, especially from the aspect of environmental efficiency. The objective of this research in to analyze the environmental efficiency (EEnv) with a detrimental input variable namely the Nitrogen surplus in shallot farming through approach Stochastic Frontier Analysis (SFA). At the initial stage has been

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Lv, Hongqu, and Wensi Cheng. "Industrial Efficiency Algorithm Based on Spatio-Temporal-Data-Driven." Wireless Communications and Mobile Computing 2021 (November 8, 2021): 1–15. http://dx.doi.org/10.1155/2021/7439744.

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Stochastic frontier model is an important and effective method to calculate industry efficiency. However, when dealing with temporal and spatial data from the industry, it is difficult to accurately calculate the industrial production efficiency due to the influence of spatial correlation and time lag effect. If the traditional spatial statistical method is used, the setting method of spatial weight matrix is often questioned. To solve this series of problems, one possible idea is to design a spatial data mining process based on stochastic frontier analysis. Firstly, the stochastic frontier mo

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Areal, Francisco José, Kelvin Balcombe, and Richard Tiffin. "Integrating spatial dependence into Stochastic Frontier Analysis." Australian Journal of Agricultural and Resource Economics 56, no. 4 (2012): 521–41. http://dx.doi.org/10.1111/j.1467-8489.2012.00597.x.

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KOH, SOO-WEI, SHAHIDUR RAHMAN, and G. K. RANDOLPH TAN. "STOCHASTIC FRONTIER ANALYSIS OF SINGAPORE MANUFACTURING INDUSTRIES." Singapore Economic Review 49, no. 01 (2004): 85–103. http://dx.doi.org/10.1142/s0217590804000810.

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Previous papers on Singapore manufacturing productivity have focused almost exclusively on total factor productivity (TFP) growth rates and ignored the problem of measuring the extent of learning-by-doing. In this paper, we examine an alternative measure: the rate of technical efficiency change. Using data from 1974–1998, a translog production frontier is estimated. Following a conceptual framework popularised by Bauer (1990), productivity growth is decomposed into components arising from technical progress, technical efficiency change, a scale economies effect and an allocative inefficiency e

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40

Feng, Cong, and Scott A. Fay. "Inferring salesperson capability using stochastic frontier analysis." Journal of Personal Selling & Sales Management 36, no. 3 (2016): 294–306. http://dx.doi.org/10.1080/08853134.2016.1166966.

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Simar, Léopold, and Valentin Zelenyuk. "Stochastic FDH/DEA estimators for frontier analysis." Journal of Productivity Analysis 36, no. 1 (2010): 1–20. http://dx.doi.org/10.1007/s11123-010-0170-6.

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KOCH, STEVEN F., and JEAN D. SLABBERT. "STOCHASTIC FRONTIER ANALYSIS OF SPECIALIST SURGEON CLINICS." South African Journal of Economics 80, no. 1 (2012): 1–15. http://dx.doi.org/10.1111/j.1813-6982.2011.01307.x.

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Chandra, K. Suresh, G. Gopal, and M. Ramadurai. "A stochastic frontier approach to survival analysis." Journal of Applied Statistics 40, no. 6 (2013): 1362–71. http://dx.doi.org/10.1080/02664763.2013.785498.

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Siburian, Beneditta, Rinayanti Rasyad, and Jeni Wardi *. "Efisiensi Perusahaan Pertambangan : Metode Stochastic Frontier Analysis." Jurnal Karya Ilmiah Multidisiplin (JURKIM) 2, no. 2 (2022): 190–200. http://dx.doi.org/10.31849/jurkim.v2i2.8371.

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Tujuan dari penelitian ini adalah untuk menguji pengaruh profitabilitas, Likuiditas, leverage, dan ukuran perusahaan terhadap pengungkapan corporate social responbility (CSR). CSR diukur dengan menggunakan data dari Global Reporting Initiative (GRI). Profitabilitas diukur dengan menggunakan Return On Asset (ROA), Likuiditas diukur menggunakan Debt to Asset Ratio (DAR), Leverage diukur menggunakan rasio hutang dan Ukuran Perusahaan adalah logaritma dari total aset. Metode pemilihan sampel dilakukan dengan metode purposive sampling dan diperoleh sampel sebanyak 11 perusahaan. Kriteria yang digun

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Ikram, M. Abdul Majid, Andry Prasmuko, Donni Fajar Anugerah, and Ina Nurmalia Kurniati. "ANALISA TINGKAT EFISIENSI SEKTORAL DAN RESPON KEBIJAKAN EKONOMI SEKTORAL DI DAERAH." Buletin Ekonomi Moneter dan Perbankan 14, no. 3 (2012): 317–38. http://dx.doi.org/10.21098/bemp.v14i3.361.

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This paper analyzes the contributon of primary input; capital anda labor, on sectoral performance in Indonesia. The analysis cover sall sectors both in national and regional level, and also the dynamic of input efficiency across period. Using stochastic frontier production function approach, this paper found the aggregate share of capital is 0.20 and 0.34 for labor; conforming the dominance of labor. The highest three technical efficiency is Mining sector (88.65%), Manufacture (70.47%) and Financial (65.93%), while the lowest one is Electric, Gas and Water (25.38%).Keywords: efficiency, stocha

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Gheit, Salem. "A Stochastic Frontier Analysis of the Human Capital Effects on the Manufacturing Industries’ Technical Efficiency in the United States." Athens Journal of Business & Economics 8, no. 3 (2022): 215–38. http://dx.doi.org/10.30958/ajbe.8-3-2.

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This study seeks to establish substantive empirical evidence on the role of college and non-college labour in productivity through technical efficiency in the manufacturing sector in the U.S. economy. This investigation fits a Cobb-Douglas stochastic frontier function with inefficiency effects to a set of panel data for 15 manufacturing industries over the period from 1998 to 2019. The contribution of this paper lies in the application of the stochastic frontier analysis following the approach of Caudill et al. (1995) by estimating and testing stochastic frontier production functions, assuming

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Mahmood, Tariq, Ejaz Ghani, and Musleh Ud Din . "Are Our Export-Oriented Industries Technically More Efficient?" Pakistan Development Review 54, no. 2 (2015): 97–121. http://dx.doi.org/10.30541/v54i2pp.97-121.

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This paper makes a comparison of technical efficiency scores between groups of exporting and non-exporting industries. Using data from Census of Manufacturing Industries in Pakistan (2005-06), technical efficiency scores of 102 large scale manufacturing industries are estimated. Stochastic Frontier Analysis as well as Data Envelopment Analysis technique are used to estimate technical efficiency scores. In Stochastic Frontier Analysis Translog and Cobb-Douglass Production Functions are specified, whereas in Data Envelopment Analysis technique, efficiency scores are computed under the assumption

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Azizul Baten, Md, Masud Rana, Sumonkanti Das, and Md Abdul Khaleque. "Technical Efficiency of Some Selected Manufacturing Industries in Bangladesh: A Stochastic Frontier Analysis." LAHORE JOURNAL OF ECONOMICS 11, no. 2 (2006): 23–41. http://dx.doi.org/10.35536/lje.2006.v11.i2.a2.

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This paper investigates the technical efficiency of selected manufacturing industries of Bangladesh using a stochastic frontier production function approach suggested by Battese and Coelli (1992) applied to panel data. A feasible Cobb-Douglas stochastic frontier production function, which has time-varying technical inefficiency effects, was estimated. Two alternative distributions were used to model the random inefficiency term: a truncated normal distribution and a half-normal distribution. The estimated average technical efficiency for four groups of industries of Bangladesh over the referen

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Kautsar, Muhammad Haikal, and Isfenti Sadalia. "Analisis Technical Efficiency Bank Umum Syariah Dengan Metode Stochastic Frontier Analysis." Talenta Conference Series: Local Wisdom, Social, and Arts (LWSA) 1, no. 2 (2018): 367–76. http://dx.doi.org/10.32734/lwsa.v1i2.209.

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Pertumbuhan yang pesat dari industri perbankan syariah mendorong adanya peningkatan kualitas seiring bertambahnya kuantitas bank syariah di Indonesia. Penjagaan kualitas penting bagi bank syariah karena bergerak atas landasan kepercayaan. Efisiensi merupakan salah satu parameter untuk mengukur kinerja bank syariah. Penelitian ini mengukur tingkat Technical Efficiency Bank Umum Syariah dengan metode Stochastic Frontier Analysis selama periode 2010-2015. Dengan menggunakan 11 sampel Bank Umum Syariah dan Variabel Input Total Simpanan, Biaya Operasional, Biaya Operasional Lainnya. Variabel Output

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SUSILOWATI, SRI HERY, and NETTI TINAPRILLA. "ANALISIS EFISIENSI USAHA TANI TEBU DI JAWA TIMUR." Jurnal Penelitian Tanaman Industri 18, no. 4 (2020): 162. http://dx.doi.org/10.21082/jlittri.v18n4.2012.162-172.

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<p>ABSTRAK<br />Upaya pengembangan usaha tani tebu masih terkendala bukan<br />hanya oleh ketersediaan lahan namun juga oleh aspek teknis budidaya<br />usaha tani (penggunaan bibit unggul, pemupukan, aspek kelembagaan,<br />dan sebagainya). Selain melalui fasilitasi perluasan lahan, strategi<br />pengembangan tebu harus disertai dengan upaya peningkatan<br />produktivitas, yaitu melalui peningkatan efisiensi usaha tani tebu, atau<br />dengan kata lain bagaimana meningkatkan output maksimum melalui<br />pengelolaan sumberdaya serta teknologi

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