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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 (June 30, 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 (July 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 (June 11, 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 costs. Total financing is an output variable. The results of this study show that total deposits and operational costs have a positive and significant impact on total financing in Sharia and conventional banks. The average score of the technical efficiency of Sharia commercial banks during the period observed is 0.84 and conventional banks is 0.85.
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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 (October 1, 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 are independent to each other; the correlation of the two components of random error is also represented by the estimation of copula. The findings from the k-means clustering algorithms applied in this study indicate that the production frontiers can be divided into two frontiers, with the number of farmers under the frontiers of such production differing from the number of farmers collected in each area. The production frontiers were obtained with 591 farmers under the first production frontier and 65 farmers under the second. In addition, the results reflected a correlation between the two error components U and V. This suggests inefficiencies and zero-mean, and that the symmetric error is not independent of each other. The findings from the application of the copula-based stochastic frontier production function models indicate that land, cost of chemicals, and labor inputs have significant positive effects on the mean output of major rice in both groups of farmers. Therefore, the results of this study indicate that the financial services in rural areas should be continuously promoted by governmental policy, particularly via agricultural loans, to rural people since the utilization of inputs affects the quantity of rice produced. Timely loans should be encouraged.
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5

Schmidt, Peter. "Stochastic Frontier Analysis." Economic Journal 112, no. 477 (February 1, 2002): F156—F158. http://dx.doi.org/10.1111/1468-0297.0688l.

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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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7

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 (December 26, 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 the stochastic frontier of efficiency over 33 different Brazilian investment funds from 2012 to 2015. For doing so, Battese and Coelli’s (1995) specifications was used. It shows the effects of inefficiencies, which are defined as explicit functions of specific factors in the context of panel data funds. They are estimated by the maximum likelihood method. Sharpe ratios (SR) were also calculated for comparative purposes. Based on these two indicators (SFA and SR), the most recommendable funds to invest and the ones in which the application should not be performed were identified. Such procedures have stimulated the necessary and promising studies, as well as future researches, which, in turn, may establish new methodological formulation as an efficient and effective instrument to choose the best and the safest funds to invest.
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8

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 (August 31, 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 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.
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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 (March 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 deterioration in their efficiency levels. The results from both the approaches are consistent, and in line with similar studies.
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11

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 (October 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 indirect labor, manufacturing services, and materials productivity and relatively little effect on direct labor productivity.
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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 (May 30, 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. Design/methodology - This study estimates the cost function of container terminal operators and identifies the efficiency of container terminals using stochastic cost frontier (SCF) in the first stage. In the second step, the SCF results are compared with the data envelopment analysis (DEA). Last, this paper proposes efficiency determinants on container terminal operation to establish appropriate strategies. Out of the 29 container terminal operators in South Korea, 13 operators participated in the survey. The translog cost function was estimated utilizing a total of 116 observations collected over the 2007-2017 period. Findings - Empirical analysis shows that economies of scale exist in Korea’s container ports, which provides a rationale for the government’s policy to establish the global terminal operator by integrating small terminal operators to enhance competitiveness. In addition, as a result of the determinants analysis, container throughput, weight of direct employment costs, and labour cost share have positive effects on improving cost efficiency, while inefficiency increases as the length of quay increases. More specifically, cost efficiency improves as the proportion of direct employment costs to outsourcing service costs increases. Originality/value - This study contributes to analyzing the inefficiency factors of container terminals through efficiency analysis with respect to a cost function. In addition, this study proposes the practical and political implications, such as establishing a long-term manpower pool, the application of the hybrid liner terminal system, and the construction of a statistical data system, to improve the cost inefficiency of terminal operators.
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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 (January 22, 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 biases from both observables and unobservables. We estimate stochastic meta-frontiers to examine TE differences between cooperative members and non-members. Our results reveal that TE levels of members are consistently higher than that of non-members. This calls for continued policy incentives targeted at encouraging farmers to form as well as participate in agricultural cooperatives.
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14

BALEŽENTIS, Tomas. "STOCHASTIC PRODUCTION FRONTIER FOR THE LITHUANIAN FAMILY FARMS." Journal of Business Economics and Management 17, no. 2 (April 8, 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 technical efficiency if compared to that of mixed or crop farms. The estimated partial output elasticities imply that the intermediate consumption was the most productive factor, whereas assets were four to six times less productive depending on the farming type. The land factor was peculiar with the lowest partial output elasticities. The research contributes to the wider discussion on the patterns of efficiency and productivity in a transition European Union Member States following the accession.
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BALEŽENTIS, Tomas. "STOCHASTIC PRODUCTION FRONTIER FOR THE LITHUANIAN FAMILY FARMS." Journal of Business Economics and Management 17, no. 2 (April 8, 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 technical efficiency if compared to that of mixed or crop farms. The estimated partial output elasticities imply that the intermediate consumption was the most productive factor, whereas assets were four to six times less productive depending on the farming type. The land factor was peculiar with the lowest partial output elasticities. The research contributes to the wider discussion on the patterns of efficiency and productivity in a transition European Union Member States following the accession.
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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 (December 9, 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 correlation between SFA method and both models DEA are determined by using the Spearman rank method. The result revealed using SFA, the mean technical efficiency of sample consumer product companies is 37.5% and implies that companies operating at means level of technical efficiency could produce 80.1% more output for given level of inputs if they become technically more efficient. From empirical results of the SFA method, we determined that the deviations from the efficient frontiers of production functions are largely attributed to inefficiency effects (technical inefficiency). Finally, the findings also showed that the difference in ranking stocks performance using DEA-CCR, DEA-BCC and SFA methods. The main contribution of the paper is showing the comparative performance based on both model, DEA and SFA method using financial ratio.
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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 (June 11, 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 obtained from each of the Sharia Commercial Bank Financial Report websites. The results of the Cross-Section Stochastic Frontier Analysis analysis on cost efficiency show the average value of the efficiency of Islamic banking in Indonesia approaching 95.92%. The results of the cost-efficiency analysis show that Islamic banking in the 2015-2018 period tended to be less efficient in controlling costs.Keywords: Cost efficiency, Islamic commercial banks, Stochastic Frontier Analysis (SFA).
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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 (December 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 (November 26, 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 nature of inefficiency. The estimated cost efficiency scores varied from 53–95%, showing that the results are sensitive to how the inefficiency is modeled and interpreted.
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20

SIPILÄINEN, T., and M. RYHÄNEN. "Technical change in Finnish grass silage production." Agricultural and Food Science 14, no. 3 (December 4, 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 1990–2000 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 that production frontiers differed between harvesting techniques. The choice of harvesting technique seemed to be related to circumstances on the farm. Thus, overall technical efficiency should not be interpreted as a measure of managerial competence when all the factors are not in the farmer’s control. Controlling background and production environment related factors yields a considerably lower level of technical inefficiency than the models without the control. It is also shown that in general a more productive harvesting technique may be on average less effi- ciently utilized when compared to its own frontier.;
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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 (April 18, 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 measurement using MFA partially revealed different results. CBs have higher annual averages of cost efficiency scores than those of IBs over the period 2006-2011. The observed evolutionary trends of these averages contradict those of the capital base. This change in results is explained according to Johnes et al. (2013) by the modus operandi of IBs which seems in average less efficient than that of CBs. As for revenue efficiency, IBs are more efficient than CBs over the entire study period even though the evolution of the technological gap ratio confirms the inefficiency of their modus operandi. These results may be useful to political decision-makers and regulatory authorities. ch indicate the complexity of the audited firm and the characteristics of the audit.</p>
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Rachmawati, Luxy Lutfiana, and Fitri Kartiasih. "ANALISIS EFISIENSI USAHA TERNAK SAPI PERAH MENGGUNAKAN STOCHASTIC FRONTIER ANALYSIS." Bina Ekonomi 22, no. 1 (July 30, 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 effect. The average level of efficiency of dairy cattle business in Java is 83.56 percent, but statistically there are effects of inefficiency in this business. Factors that influence the inefficiency of livestock businesses are: the farmer’s age, the farmer’s educational level, participation of the farmers in cooperatives and farmer groups.Keywords: dairy cows; Stochastic Production Frontier; technical efficiency
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Sakouvogui, Kekoura, Saleem Shaik, Curt Doetkott, and Rhonda Magel. "Sensitivity analysis of stochastic frontier analysis models." Monte Carlo Methods and Applications 27, no. 1 (February 2, 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 parameters of truncated normal, half-normal, and exponential inefficiency distributions of SFA models with the objective of having comparable sample mean and sample standard deviation during MC simulation. Thus, MC simulation is conducted to evaluate the statistical properties and robustness of the inefficiency distributions of SFA models and across three different misspecification scenarios, sample sizes, production functions, and input distributions. MC simulation results show that the misspecified truncated normal SFA model provides the smallest mean absolute deviation and mean square error when the true data generating process is a half-normal inefficiency distribution.
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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 (March 2, 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 three different technology groups in the sample, suggesting the need for different business strategies. The policy implications are also derived.
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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 (December 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 and cargo, suggesting that business strategies need to be adapted to the characteristics of the airports. Some managerial implications are developed.
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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 (January 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 (November 28, 2007): 131–66. http://dx.doi.org/10.1177/1077558707307580.

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28

Griffin, Jim E., and Mark F. J. Steel. "Bayesian stochastic frontier analysis using WinBUGS." Journal of Productivity Analysis 27, no. 3 (April 10, 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 (April 2005): 243–45. http://dx.doi.org/10.1081/etc-200067955.

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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) (July 18, 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 cost of doing business in Zimbabwe is perceived to be high hence improved bank efficiency has the potential to reduce the cost of doing business. The average cost efficiency scores for the Zimbabwean banks over the study period show that the banking sector in Zimbabwe experiencing 17 percent inefficiency. The efficiency levels have been declining over the years reflecting increased resource wastage in the system. The study recommends that the banking institutions should continue to innovate so as to reduce their inefficiencies.
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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 (March 30, 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, stochastic frontier, productivity, Indonesia.JEL Classification: D24, J24, O18
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34

Castilla Espino, David, and Juan José García del Hoyo. "Eficiencia técnica de pesquerías con heterogeneidad inobservada." Studies of Applied Economics 37, no. 3 (October 9, 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 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.
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35

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 (January 30, 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 rolling contact fatigue defects, wheel flats and cavities. Different model specifications for the stochastic frontier analysis are compared with linear mixed model specifications, showing that the stochastic frontier analysis model exhibits a better Akaike information criterion.
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36

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 (December 26, 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 built translog stochastic frontier regression model consisting of the response variable namely the production of onion, five independent variables, namely land, seed, Phospor fertilizer, Kalium fertilizer, labor and pesticides, as well as one independent variable is a surplus of nitrogen as a detrimental input. Stochastic frontier translog regression models were built to explain some of the interactions between several independent variables affect the production of shallot. Some interactions are significant, namely seeds and pesticides, fertilizer P with a surplus of nitrogen, and the interaction between K fertilizer with nitrogen surplus. From the regression model can also be calculated value of elasticity, where the elasticity of independent variables namely seed is the highest, equal to 0.1687. Furthermore stochastic frontier translog model can be calculated value EEnv, the results show the value of EEnv still low at only at 0.2765. This may imply inefficient shallot farmers from the aspects of the environment, especially if associated with the use of nitrogen fertilizer. Although technically shallot farmers have achieved a level of technical efficiency (ET), which is indicated on the ET value of 0.9475.
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37

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 model should be improved to analyze spatio-temporal data. In order to accurately measure the technical efficiency in the case of dual correlation between time and space, a more effective spatio-temporal stochastic frontier model method is proposed. Meanwhile, based on the idea of generalized moment estimation, an estimation method of spatiotemporal stochastic frontier model is designed, and the consistency of estimators is proved. In order to ensure that the most appropriate spatial weight matrix can be selected in the process of model construction, the K -fold crossvalidation method is adopted to evaluate the prediction effect under the data-driven idea. This set of spatio-temporal data mining methods will be used to measure the technical efficiency of high-tech industries in various provinces of China.
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38

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 (June 20, 2012): 521–41. http://dx.doi.org/10.1111/j.1467-8489.2012.00597.x.

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39

KOH, SOO-WEI, SHAHIDUR RAHMAN, and G. K. RANDOLPH TAN. "STOCHASTIC FRONTIER ANALYSIS OF SINGAPORE MANUFACTURING INDUSTRIES." Singapore Economic Review 49, no. 01 (April 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 effect.
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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 (April 4, 2016): 294–306. http://dx.doi.org/10.1080/08853134.2016.1166966.

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41

Simar, Léopold, and Valentin Zelenyuk. "Stochastic FDH/DEA estimators for frontier analysis." Journal of Productivity Analysis 36, no. 1 (April 14, 2010): 1–20. http://dx.doi.org/10.1007/s11123-010-0170-6.

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42

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

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43

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

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44

Siburian, Beneditta, Rinayanti Rasyad, and Jeni Wardi *. "Efisiensi Perusahaan Pertambangan : Metode Stochastic Frontier Analysis." Jurnal Karya Ilmiah Multidisiplin (JURKIM) 2, no. 2 (May 31, 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 digunakan adalah perusahaan pertambangan, menyediakan informasi mengenai pengungkapan CSR selama lima tahun berturut-turut, dan menggunakan rupiah sebagai unit mata uang. Hasil penelitian menunjukkan bahwa profitabilitas, likuiditas, leverage, dan ukuran perusahaan terhadap pengungkapan kegiatan CSR sebesar 39,4%. Sedangkan sisanya sebesar 60,6% tidak dimasukakkan dalam penelitian ini
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45

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 (March 30, 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, stochastic frontier, productivity, Indonesia.JEL Classification: D24, J24, O18
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46

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 (May 26, 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 the presence of heteroscedasticity in the one-sided error term (inefficiency), which provides robust estimates of the technical efficiency measures. This paper also contributes to the literature in the sense that it follows the Hadri (1999) approach and its extension for panel data, Hadri et al. (2003), assuming the existence of heteroscedasticity in both error terms (the one-sided inefficiency term and the two-sided symmetric random noise). The rationale for the double heteroscedasticity estimation is that it results in more accurate measures of the effects of the technical efficiency determinants. Therefore, it adds another layer of confidence in the economic analysis of the impact of human capital components on the manufacturing sector efficiency and by extension, its productivity. The stochastic frontier results show the effects of highly educated workers and low educated workers – proxied by college and non-college labour – on technical inefficiency. This is where the maximum likelihood estimates suggest that the increase in the percentage of the hours worked by college workers tends to contribute positively to technological efficiency in the U.S. manufacturing industries. While on the minus side, it can be noted that the rise in the share of the hours worked by non-college persons seems to have negative impact on efficiency in these industries. JEL Codes: J24, D24, C23, C24, Q12 Keywords: human capital, technical efficiency, stochastic frontier production, double heteroscedasticity, panel data
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47

Mahmood, Tariq, Ejaz Ghani, and Musleh Ud Din . "Are Our Export-Oriented Industries Technically More Efficient?" Pakistan Development Review 54, no. 2 (June 1, 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 assumptions of Constant Returns to Scale as well as Variable Returns to Scale. Industries showing high technical efficiency include Tobacco Products, Refined Petroleum Products, Carpets and Rugs, and Meat and Meat Products. Industries showing low technical efficiency include Refractory Ceramic Products, Electricity Distribution and Control Apparatus, Fish and Fish Products, Basic Precious Metals and Aluminum and its Products. Comparison of mean efficiency scores between exporting and non-exporting industries does not indicate any significant difference between efficiency scores across types of industries. JEL Classification: D24, L6, O14, F14 Keywords: Manufacturing Industries, Technical Efficiency, Stochastic Frontier Analysis, Data Envelopment Analysis, International Trade
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48

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 (July 1, 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 reference period was 40.22% of potential output for the truncated normal distribution, whereas it was 55.57% of potential output for the half-normal distribution.
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49

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 (December 10, 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 yaitu Total Pembiayaan. Hasil penelitian ini menunjukan Bahwa Total Simpanan dan Biaya Operasional berpengaruh positif dan signifikan terhadap Total Pembiayaan. Sementara, Biaya Operasional Lainnya berpengaruh negatif terhadap Total Pembiayaaan. Secara rerata skor Technical Efficiency Bank Umum Syariah selama periode observasi sebesar 0,743. The rapid growth of sharia banking industry boosts the quality improvement as the increase of sharia banking quantity in Indonesia. The quality control is important for sharia banks since they move based on society trust. Efficiency is one of the parameters to measure sharia banking performance. This research measured the technical efficiency level of Sharia Commercial Bank (Bank UmumSyariah) using Stochastic Frontier Analysis method for 2010-2015 periods. By using 11 Sharia Commercial Bank samples and total deposits input variable, operating cost, and other operating costs. The output variable was total financing. The result of this research showed that the total deposits and operating cost had positive and significant effects on total financing. On the other hand, the other operating costs had negative effects on total financing. In average, the technical efficiency of Sharia Commercial Bank during the observation period was 0.743
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50

SUSILOWATI, SRI HERY, and NETTI TINAPRILLA. "ANALISIS EFISIENSI USAHA TANI TEBU DI JAWA TIMUR." Jurnal Penelitian Tanaman Industri 18, no. 4 (June 19, 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 yang ada. Tujuan penelitian<br />adalah untuk menganalisis efisiensi usaha tani tebu dan menentukan<br />faktor-faktor yang mempengaruhi inefisiensi usaha tani tebu. Data yang<br />digunakan adalah data survei PATANAS (Panel Petani Nasional) oleh<br />Pusat Sosial Ekonomi dan Kebijakan Pertanian di Kabupaten Malang<br />dan Lumajang, Jawa Timur tahun 2009. Jumlah contoh sebanyak 132<br />rumah tangga yang dipilih secara acak. Analisis menggunakan stochastic<br />frontier production function approach dengan fungsi produksi Stochastic<br />Frontier Cobb Douglas yang diolah menggunakan program Frontier 4.1.<br />Hasil penelitian menunjukkan nilai indeks efisiensi teknis dikategorikan<br />belum efisien dengan rata-rata efisiensi sebesar 0,672. Variabel akses<br />lahan oleh petani merupakan faktor yang paling penting dan responsif<br />dalam mempengaruhi produksi tebu. Kebijakan pengembangan usaha<br />tani tebu untuk meningkatkan efisiensi usaha tani adalah melalui<br />peningkatan akses lahan, kualitas bibit yang dipakai, dan ketersediaan<br />sarana produksi.<br />Kata kunci : efisiensi teknis, usaha tani tebu, stochastic frontier<br />production function</p><p>ABSTRACT<br />Improving sugar cane farming is still constrained by not only land<br />availability but also technical aspects such as quality of seed, fertilization,<br />institution, etc., so that development strategy to improve sugar cane<br />farming should be conducted by facilitating extensification and<br />increasing productivity and technical efficiency, or in other word<br />increasing maximum output through resource management and<br />technology. The aim of this study was to analyze technical efficieny of<br />sugar cane farming and to identify determinant factors influencing the<br />efficieny of sugar cane farming. This study used PATANAS data survey<br />which was conducted by Indonesian Center for Agriculture Socio<br />Economic and Policy Study (ICASEPS) in Malang and Lumajang<br />Regency, East Java Province in the years of 2009. The 132 samplies of<br />sugarcane household were chosen randomly in the year 2009. Data were<br />analysed using stochastic frontier production function approach with<br />Stochastic Frontier Cobb Douglas using frontier 4.1. programme. The<br />result of this study showed that sugar cane farming in East Java was<br />technically not efficient with the index value of 0.672. Among variables<br />that significantly influenced sugarcane production, land access by<br />farmers was an essential factor to improve production. Policy implication<br />for developing sugar cane farming to improve technical efficiency is by<br />increasing land access, quality of seed, and production factor availability.<br />Key words : technical efficiency, sugarcane farming, stochastic<br />frontier production function</p>
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