scholarly journals EFISIENSI TEKNIS BANK DI INDONESIA: KELOMPOK BUKU I-IV

2020 ◽  
Vol 4 (2) ◽  
pp. 274
Author(s):  
Romauli Nainggolan
Keyword(s):  
Technical Efficiency ◽  
Banking Sector ◽  
Efficiency Score ◽  
Bank Performance ◽  
Input Price ◽  
Constant Return ◽  
Input Variables ◽  
Optimal Efficiency ◽  
Bank Group ◽  
Technical Efficiency Score

Efisiensi Bank merupakan salah satu ukuran kinerja bank. Bank harus berusaha mengelola input dan output bank secara optimal. Efisiensi bank yang optimal dapat dilihat dari tingkat efisiensi teknis bank. Penelitian ini bertujuan mengukur efisiensi teknis bank di Indonesia. Penelitian dilakukan pada 38 bank berdasarkan kelompok bank BUKU I-IV periode 2012 – 2018 dengan metode DEAP. Variabel input dan output bank menggunakan pendekatan Intermediasi bank. Variabel input bank yaitu price of fund, price of labor and price of capital. Sedangkan output bank yaitu loans. Pengukuran efisiensi teknis menggunakan DEAP sebagai pengukur efisiensi secara modern. Hasil penelitian metode DEAP dengan model Constant Return to Scale (CRS) menunjukkan bahwa Bank BNI dan bank BCA paling efisiensi secara teknis dibanding bank lainnya dengan efisiensi teknis 100%. Bank kelompok BUKU IV secara umum telah mencapai efisiensi teknis sedangkan Bank kelompok BUKU I-III belum mencapai efisiensi teknis. Pada periode 2018, dalam mencapai efisiensi teknis maka kelompok bank BUKU I-III harus melakukan kebijakan dengan cara mengendurkan atau mengurangi biaya dua input. Kedua input variabel yaitu input price of fund dan price of capital karena kedua input tersebut yang membuat bank belum mencapai efisiensi teknis.  Efficiency of Bank is a measure of bank performance. The banking sector must try to regulate bank inputs and outputs optimally. Optimal efficiency can be seen from the bank's technical efficiency score.. This study aims to measure the technical efficiency of banks in Indonesia. The study was conducted on 38 banks based on the BUKU I-IV, period 2012 - 2018 with the DEAP method. Bank input and output variables use the bank intermediation approach. Bank input variables are price of funds, price of labor and price of capital. Bank output is loans. Measurement of technical efficiency using DEAP as a measure of modern efficiency. The DEAP method research results with the Constant Return to Scale (CRS) model show that BNI Bank and BCA bank are the most technically efficient compared to other banks with 100% technical efficiency. BUKU IV group banks in general have achieved technical efficiency while BUKU I-III group banks have not technical efficiency. In achieving technical efficiency, the BUKU I-III bank group must carry out policies by relaxing or reducing the costs of two inputs. The two variable inputs are input price of funds and price of capital because these two inputs have made the bank not yet reached technical efficiency.

VP173 Determinants Of Behavioral Health System Efficiency In Organisation For Economic Co-operation And Development (OECD) Countries

2017 ◽  
Vol 33 (S1) ◽  
pp. 229-230
Author(s):  
Songul Cinaroglu ◽  
Onur Baser
Keyword(s):  
Decision Tree ◽  
Health System ◽  
Behavioral Health ◽  
Technical Efficiency ◽  
Oecd Countries ◽  
Efficiency Score ◽  
Fruit Consumption ◽  
Suicide Rates ◽  
Behavioral Health System ◽  
Technical Efficiency Score

INTRODUCTION:This study examined the technical efficiency determinants of each Organisation for Economic Co-operation and Development (OECD) country's behavioral health system (BHS).METHODS:The technical efficiency of each OECD country's BHS was analyzed through data envelopment analysis with model combinations ranging from 1–11 models, with each model constructed with different BHS input and output variable combinations. A decision tree was generated from the efficiency scores of the model with the highest mean technical efficiency score as a predictor variable. Data was obtained from 2013 OECD and Eurostat statistics.RESULTS:Different model combinations indicated that the model with the highest mean technical efficiency score (.9214) for OECD countries included (i) input variables for smoking, alcohol consumption, daily fruit consumption, the number of psychiatrists, the percentage of live births of young mothers first children, and the time devoted to leisure and personal care and (ii) output variables for death rate by mental and behavioral disorders, diabetes hospital admissions in adults, and suicide rates. Among all model combinations, >45 percent of OECD countries have an efficient BHS. The decision tree graph shows that daily fruit consumption, smoking, and suicide rates are predictor variables of the technical efficiency of an OECD country's BHS.CONCLUSIONS:The study results offer important insights regarding the development of BHS in OECD countries. Health policymakers must develop collaborative activities and implement comprehensive policies promoting internationally-oriented BHS in order to improve the health status of people worldwide and reduce health inequality.

Measurement of Technical and Scale Efficiency of Dairy Farms in Pune District of Maharashtra: Data Envelopment Analysis Approach

2021 ◽  
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Management Practices ◽  
Dairy Farms ◽  
Herd Size ◽  
Efficiency Score ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Resource Saving ◽  
Technical Efficiency Score

The present study intended to determine the technical and scale efficiency of sample dairy farms for evaluating their performance. Data Envelopment Analysis (DEA) technique was used to estimate the technical and scale efficiency of 80 each of member and nonmember dairy farms in the Pune district of Maharashtra state during 2019. Technical efficiency score further partitioned into pure technical efficiency and overall technical efficiency. The technical efficiency score was more for member dairy farms as compared to the non-members under the assumption of constant return to scale (CRS) and variable return to scale (VRS). It highlighted that the non-members of dairy cooperatives had more potential to reduce the input use without affecting the output level compared to the member group. It was also observed that the technical efficiency under the CRS assumption was more than VRS for both member and non-member groups. It revealed that the farms were scaled inefficient (SE<1) and not operating at optimal scale. The study further revealed a positive relationship between technical efficiency and herd size. It also revealed that the resource-saving potential due to the scale effect. So, it supported the policy of providing technical advice on the use of feed and fodder resources, better management practices, and increasing the herd size to increase the technical and scale efficiency.

scholarly journals Technical Efficiency of White Leg Shrimp Production Using Data Envelopment Analysis (DEA), Case Study: Jiangsu Province, China

2018 ◽  
pp. 1-9
Author(s):  
Mamoud Mansaray ◽  
Agbekpornu Hayford ◽  
Zhang Zongli ◽  
Zhu Weifan ◽  
Yuan Xinhua
Keyword(s):  
Technical Efficiency ◽  
Efficiency Score ◽  
Jiangsu Province ◽  
Shrimp Farming ◽  
Penaeus Vannamei ◽  
Data Envelopment ◽  
Statistical Regression ◽  
Shrimp Production ◽  
Level Of Significance ◽  
Technical Efficiency Score

Production of white leg shrimp (Penaeus vannamei) is a very important economic activity in the overall farming system in China. In spite of the present successes witnessed by white leg shrimp farming, there are many challenges (disease, overfeeding, effluent discharge, lack of technical knowledge, low educational level, inexperienced managers, the high cost of production among others) continuing to set back the growth of this sector in China. The study was conducted in Jiangsu province because is one of the leading producing provinces of White-leg shrimp (Penaeus vannamei) in China. The research examines the technical efficiency level of white leg shrimp production in Jiangsu Province, China. Three seasonal crops data in 2016 crop year were collected from 52 white leg shrimp farmers in the study area. All data were coded in Excel 2007 spreadsheet package and analysed with SPSS version 20 and DEAP version 2.1 software at 95% confidence level. Descriptive statistical, regression and Data Envelopment Analyses (DEA) were used to analyse the data. Results revealed an average technical efficiency score of 83.1%, under a constant return to scale. Majority of the farmers (62%) were technically inefficient in utilising input resources with technical efficiency score less than 1. Twenty farmers were technically efficient with technical efficiency (TE) score equal to 1. Feed, fingerlings and chemical showed significant negative influence on technical efficiency at 5% level of significance while labor, fixed cost and age exhibited strong negative impact at 1% level of significance.

scholarly journals Technical Efficiency and the Determinants of Price to Book Value: An Empirical Study of Category-IV Banks in Indonesia Stock Exchange

2017 ◽  
Author(s):  
chandra setiawan ◽  
Felicia Putri Tjiasaka
Keyword(s):  
Technical Efficiency ◽  
Value Relevance ◽  
Stock Exchange ◽  
Efficiency Score ◽  
Least Square ◽  
Financial Statement ◽  
Data Envelopment ◽  
Book Value ◽  
Operating Profit ◽  
Technical Efficiency Score

This research aimed to empirically determine the value relevance of price to book value (PBV) and technical efficiency (TE) within Category-IV banks in Indonesia Stock Exchange in the time horizon of 1Q2007 to 4Q2015. This research uses time series and quarterly-published financial statement from the listed Category-IV banks. In term of variables that determine PBV by using panel least square, the research reveals that pre-provision operating profit (PPOP) and return on total assets (ROTA) have positive and significant effect towards PBV, while non-performing loan (NPL) and dividend yield have negative and significant effect towards PBV. Contrarily, firm size has negative and insignificant effect towards PBV. Additionally, the result of data envelopment analysis (DEA) which is used to measure technical efficiency, indicates that PT. Bank Mandiri Tbk. (BMRI) is the most efficient Category-IV bank. BMRI led with average technical efficiency score of 98.95%, followed by PT. Bank Rakyat Indonesia Tbk. (BBRI) 98.02%, PT. Bank Negara Indonesia Tbk. (BBNI) 96.04% and PT. Bank Central Asia Tbk. 94.94%. The average technical efficiency of Category-IV banks within the period of research is 96.99%.

scholarly journals The rise and fall of Italian Saving Banks. A DEA efficiency approach

2017 ◽  
Vol 14 (4) ◽  
pp. 350-361
Author(s):  
Simona Alfiero ◽  
Umberto Bocchino ◽  
Alfredo Esposito ◽  
Ruggiero Doronzo
Keyword(s):  
Banking Sector ◽  
Efficiency Score ◽  
Scale Efficiency ◽  
Managerial Efficiency ◽  
Savings Banks ◽  
Parametric Data ◽  
Efficiency Performance ◽  
Dea Efficiency ◽  
Regional Brand ◽  
Bank Group

Nowadays, Italian Savings Banks (SBs) are providing financial support for the development of local economies as full commercial competitors and players of the Italian banking sector. The study points out the strong link between efficiency performance and the evolution of the sector characterised by a transition from a territorial proximity to a regional brand and thus to a partial collapse. Via the non-parametric Data Envelopment Analysis – Slack Based Model methodology, the evaluation of the SBs efficiency score is carried out over the 2010-2015 period. The results show that SBs belonging to a Bank Group regularly outperform the Stand-Alone ones. Thus, generally increasing technical efficiency, managerial efficiency and scale efficiency confirm the sectorial evolution. The study is innovative for considering the question of SBS and territorial branding of banking groups. Moreover, its results help to understand how to avoid the same mistakes of the past in the future, therefore, under current circumstances, it is particularly important for scholars, managers, people of local communities, and decision-makers.

scholarly journals Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

2020 ◽  
Vol 12 (3) ◽  
pp. 121
Author(s):  
Abdullah M. Alsabah ◽  
Hassan Haghparast-Bidgoli ◽  
Jolene Skordis
Keyword(s):  
Technical Efficiency ◽  
Efficiency Score ◽  
Hospital Efficiency ◽  
Public Hospitals ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Factors Affecting ◽  
The Mean ◽  
Technical Efficiency Score

The recent drop in oil prices has challenged public sector financing in Kuwait. Technical and scale efficiency scores for fifteen public hospitals in Kuwait from 2010 to 2014 were estimated using a two-stage data envelopment analysis (DEA). Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences in hospitals. Semi-structured interviews were also carried out with fourteen public and private hospital managers to qualitatively explore their perceptions and experience about about factors affecting hospital efficiency. The mean technical efficiency score for all hospitals was 85.8%, an improvement of 2% since 2010. The mean pure technical efficiency score was 79.6%, improving from 75% in 2010 to 81.2% in 2014. The mean scale efficiency score was 91.8%, improving from 87.6% in 2010 to 94.2% in 2014. Only three hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the average length of patient stay. Hospitals with more than 400 beds were potentially more technically and scale efficient. The qualitative study revealed that external factors affecting efficiency commonly included implemention of legislative changes and decreasing bureaucracy, while internal factors included increasing bed capacity and improving qualifications and training of human resources. Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed. Potential factors that affected the efficiency of hospitals in Kuwait were identified. These findings are useful to decision-makers in Kuwait for developing strategies to improve public hospital efficiency.

scholarly journals Measurement of Technical Efficiency of Durian Production in Thailand: An Application of Data Envelopment Analysis Approach

2017 ◽  
Vol 6 (3) ◽  
pp. 486
Author(s):  
Surakiat Parichatnon ◽  
Kamonthip Maichum ◽  
Ke-Chung Peng
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Efficiency Score ◽  
The Other ◽  
Analysis Approach ◽  
Government Agencies ◽  
Data Envelopment ◽  
Other Hand ◽  
Technical Efficiency Score

<div><p><em>The purpose of this paper is to investigate and measure the technical efficiency of durian production in each province of Thailand using the data envelopment analysis (DEA) during the period 2012-2016. The findings indicate that the technical efficiency of Thai durian production revealed favorable results from 2012 to 2016 but still needs to be improved since the technical efficiency score is not close to 1.000. On the other hand, Chanthaburi province had the highest mean efficiency score and was recognized as the best province for Thai durian production. Moreover, the study found that Phuket province had lowest mean technical efficiency score of Thai durian production, which therefore should be increased the quantity of the outputs and inputs. Therefore, the results of this study can provide important information to farmers, agricultural planners and government agencies to help increase the technical efficiency levels of durian production in Thailand.</em></p></div>

scholarly journals Data Envelopment Analysis and Panel Regression in Analysing Technical Efficiency and Its Determinants of the Palm Oil Products-Based Manufacturing Subsector

2021 ◽  
Vol 50 (7) ◽  
pp. 2095-2107
Author(s):  
Noorasiah Sulaiman ◽  
Rahmah Ismail
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Palm Oil ◽  
Efficiency Score ◽  
Oil Products ◽  
Data Envelopment ◽  
Panel Regression ◽  
Skilled Labour ◽  
Improve Efficiency ◽  
Technical Efficiency Score

This study measures the technical efficiency score of the manufacturing sector of the palm oil products-based subsector in Malaysia and investigates the major determinants that influence efficiency. Based on the Industrial Manufacturing Survey, this study explores the data from 2000 to 2015 over sixteen years, with a total of eleven subsectors of palm oil products-based. The first stage of the study is carried out with a data envelopment analysis (DEA) to calculate the technical efficiency score, which is considered a dependent variable. The second stage of the study uses a panel regression model to examine the determinants of efficiency comprise the variable capital-labour ratio, research and development, information communication technology, training, and skilled labour. The study findings show that most of the palm oil products-based subsectors are not operating efficiently. Skilled labour, technical and supervisory, and professional is one of the main determinants contributing to the efficiency level. The variable capital-labour ratio though significant, but harms the efficiency level. The moderating effects show that skilled technical and supervisory workers relatively affect the food industry’s efficiency larger than the non-food industry. Therefore, the industry still has room to improve efficiency by utilising input efficiently. Moreover, the efforts involve organisational management, equipped appropriate technology and related factors that will improve efficiency, increase productivity and competitiveness of palm oil products-based industries.

scholarly journals The Role of Technical Efficiency Achieving Sustainable Development: A Dynamic Analysis of Norwegian Dairy Farms

2021 ◽  
Vol 13 (4) ◽  
pp. 1841
Author(s):  
Habtamu Alem
Keyword(s):  
Sustainable Development ◽  
Technical Efficiency ◽  
Dairy Farms ◽  
Efficiency Score ◽  
Special Focus ◽  
Average Output ◽  
The Sustainable Development ◽  
Norwegian Dairy ◽  
Technical Efficiency Score

Growing environmental concerns have prompted governments to make sustainable choices in agricultural resource use. Evaluating the sustainability of agricultural systems is a key issue for the implementation of policies and practices aimed at revealing sustainability. This study aimed to evaluate the performance of Norwegian dairy farms, accounting for marginal effects of environmental (exogenous) variables. We adopted the dynamic parametric approach within the input distance function framework to estimate the performance of Norwegian dairy farms, focusing on the technical efficiency and determinates. For comparison, we also estimated the static parametric model, which was used by previous studies. We used unbalanced farm-level panel data for the period 2000–2018. The result shows a mean technical efficiency score of 0.92 for the dynamic model and 0.87 for the static models. The empirical result shows that the previous studies that focused on the static model reported a biased result on the performance of dairy farms. The dynamic efficiency score suggests that Norwegian dairy farms can reduce the input requirement of producing the average output by 8% if the operation becomes technically efficient. The environmental variables have a different effect on the performance of the farmers; thus, policymakers need to place special focus on these variables for the sustainable development of the dairy sector.

scholarly journals Assessing Banking Profit Efficiency Using Stochastic Frontier Analysis

2018 ◽  
Vol 3 (4) ◽  
pp. 67-76
Author(s):  
Riko Hendrawan ◽  
Azhar A. Nasution
Keyword(s):  
Capital Market ◽  
Banking Sector ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Banking System ◽  
Efficiency Score ◽  
Maximum Efficiency ◽  
Good Efficiency ◽  
Frontier Analysis ◽  
Input Variables

Objective - The banking sector plays an important role in the Indonesian economy. The sustainability of the Indonesian banking sector will depend on the ability of every banking institution to maintain their competitiveness. Banking competitiveness is reflected in the level of efficiency of the banking system itself. Methodology/Technique - The purpose of this research is to assess the efficiency of 21 banks on the IDX between 2008-2017 using Stochastic Frontier Analysis. Findings - The findings of this research show a maximum efficiency score of 0.69 and the bank's average score among the research sample with the input and output allocation which can generate profits is 0.69 - 0.43 = 0.26. Overall, the banking sector in the Indonesian capital market between 2008 - 2017 recorded an efficiency score of 0.43. With this score, the banking system in the Indonesian capital market is still considered to be inefficient (0.43 <0.5). The results also demonstrate that the distribution of efficiency scores polarized in two poles. In the first pole, there were 11 banks that had a relatively good efficiency score (> = 0,5) and in the second pole, there were 10 banks with low efficiency scores (less than 0.5). Novelty – From the results, it can be concluded that several output variables, such as total loans (Y1) and securities (Y3), and input variables such as prices of labor (W2) and inflation (Z), have a significant effect on banking profits. Meanwhile, input variables such as the price of fund variables or the total funds (W1) and the price of physical capital were reflected in the depreciation of fixed assets (W3), and the output variables of income and interest (Y2) had an insignificant effect on bank profits. Type of Paper - Keywords: Bank Efficiency; IDX, Stochastic Frontier Analysis, Indonesia. JEL Classification: G10, G14, G19.

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