scholarly journals Efisiensi Emiten Properti dan Real estate yang Terdaftar di Indeks Saham Syariah Indonesia Tahun 2016-2020

2021 ◽  
Vol 1 (2) ◽  
pp. 77-97
Author(s):  
Indah Fresma Sari ◽  
Jaenal Effendi
Keyword(s):  
Real Estate ◽  
Technical Efficiency ◽  
Efficiency Score ◽  
Stock Index ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Return On Assets ◽  
Negative Effect ◽  
Using Data ◽  
Positive Effect

This study aims to analyze the efficiency of property and real estate issuers listed in the Indonesia Sharia Stock Index (ISSI) during 2016-2020 period and the factors that influence it. In the first stage, the researcher analyzes the efficiency value of property and real estate issuers using Data Envelopment Analysis (DEA) method. In the second stage, the researcher analyzes the factors that influence the efficiency value of property and real estate issuers by using tobit regression. There are 16 issuers used in this study. The results showed that none of the issuers consistently achieved the perfect technical efficiency score (the efficiency score is equal to 1) during the study period. The same thing happened to the pure technical efficiency analysis and the efficiency scale results. The results of the tobit model regression showed that the Return on Assets (ROA) has significant positive effect and the exchange rate (LNKURS) has significant negative effect on the efficiency value of property and real estate issuers. Meanwhile, the Debt to Asset Ratio (DAR), company size (LNSIZE), and interest rate (BIRATE) do not have significant effect on the efficiency of property and real estate issuers.

scholarly journals Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Primary Source ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Significant Difference ◽  
Using Data

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.

Do hospital mergers increase hospital efficiency? Evidence from a National Health Service country

2007 ◽  
Vol 12 (4) ◽  
pp. 230-235 ◽  
Author(s):  
Lars Kjekshus ◽  
Terje Hagen
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Cost Efficiency ◽  
Treatment Process ◽  
Panel Data Analysis ◽  
Data Envelopment ◽  
Hospital Mergers ◽  
Positive Effects ◽  
Negative Effect ◽  
Using Data

Objectives: To analyse the effects on technical and cost efficiency of seven hospital mergers over the period 1992–2000 in Norway. The mergers involved 17 hospitals. Methods: First, efficiency scores were generated using Data Envelopment Analysis for 53 merged and non-merged hospitals over the nine years. Second, the effect of mergers was estimated through panel data analysis. Results: In general, the mergers showed no significant effect on technical efficiency and a significant negative effect of 2–2.8% on cost efficiency. However, positive effects on both cost and technical efficiency were found in one merger where more hospitals were involved, and where administration and acute services were centralized. Conclusion: The findings indicate that large mergers involving radical restructuring of the treatment process may improve efficiency as intended, but most mergers do not.

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 TECHNICAL EFFICIENCY OF SAVING AND LOAN COOPERATIVES IN GERBANGKERTASUSILA, EAST JAVA PROVINCE: A TWO-STAGE ANALYSIS

2019 ◽  
Vol 3 (2) ◽  
pp. 153-167
Author(s):  
Atik Purmiyati
Keyword(s):  
Technical Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Two Stage ◽  
Savings And Loans ◽  
Second Stage ◽  
Savings And Loan ◽  
External Capital ◽  
Stage Analysis ◽  
Positive Effect

The purpose of this research is to assess the level of technical efficiency of the Savings and Loans Cooperative (KSP) in Gresik, Bangkalan, Mojokerto, Surabaya, Sidoarjo, and Lamongan (Gerbangkertasusila), Indonesia, and to identify the factors that influence the level of technical efficiency of the Savings and Loans Cooperative in Gerbangkertasusila. Two Stage Analysis that used are Data Envelopment Analysis and Tobit regression. Variables are used in the DEA as output, specifically the remainder of the cooperative’s business (SHU), whereas input includes the number of members, own capital, number of employees, and business volume. The second stage involves analyzing the determinants of technical efficiency using Tobit regression, with the independent variables being cooperative age, external capital, assets, and managers. The results showed that the average level of technical efficiency of the KSP was 60.4 percent, with 16 KSP being the most efficient. Meanwhile, the Tobit regression results show that simultaneously the variables have an influence on the level of technical efficiency of the KSP. Partially the cooperative age and external capital variables have no significant effect on savings and loan cooperatives, while asset and managers have a significant positive effect on the level of technical efficiency of savings and loan cooperatives.

scholarly journals Significant inefficiency in running community health systems: The case of health posts in Southwest Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246559
Author(s):  
Kiddus Yitbarek ◽  
Gelila Abraham ◽  
Melkamu Berhane ◽  
Sarah Hurlburt ◽  
Carlyn Mann ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Health Services ◽  
Technical Efficiency ◽  
Efficiency Score ◽  
Fiscal Year ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Southwestern Ethiopia ◽  
Technical Efficiency Score

Background Although much has been documented about the performance of the health extension program, there is a lack of information on how efficiently the program is running. Furthermore, the rising cost of health services and the absence of competition among publicly owned health facilities demands strong follow up of efficiency. Therefore, this study aimed to assess the technical efficiency of the health posts and determinants in Southwestern Ethiopia. Methods and materials We used data for one Ethiopian fiscal year (from July 2016 to June 2017) to estimate the technical efficiency of health posts. A total of 66 health posts were included in the analysis. We employed a two-stage data envelopment analysis to estimate technical efficiency. At the first stage, technical efficiency scores were calculated using data envelopment analysis program version 2.1. Predictors of technical efficiency were then identified at the second stage using Tobit regression, with STATA version 14. Results The findings revealed that 21.2% were technically efficient with a mean technical efficiency score of 0.6 (± 0.3), indicating that health posts could increase their service volume by 36% with no change made to the inputs they received. On the other hand, health posts had an average scale efficiency score of 0.8 (± 0.2) implying that the facilities have the potential to increase service volume by 16% with the existing resources. The regression model has indicated average waiting time for service has negatively affected technical efficiency. Conclusion More than three-quarters of health posts were found inefficient. The technical efficiency score of more than one-third of the health posts is even less than 50%. Community mobilization to enhance the uptake of health services at the health posts coupled with a possible reallocation of resources in less efficient health posts is a possible approach to improve the efficiency of the program.

scholarly journals An Analysis of Revenue Maximising Efficiency of Public Sector Banks in the Post-Reforms Period

2017 ◽  
Vol 6 (1) ◽  
pp. 111-125 ◽  
Author(s):  
Ombir Singh ◽  
Sanjeev Bansal
Keyword(s):  
Regression Analysis ◽  
Public Sector ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Public Sector Banks ◽  
Using Data ◽  
Tobit Regression Analysis ◽  
The Impact

Abstract The paper investigates and compares the performance of the Indian public sector banks (PSBs) based on revenue maximising efficiency in the deregulation period from 2001-02 to 2012-13. Several efficiency estimates viz., overall technical efficiency, pure technical efficiency and scale efficiency of individual banks are calculated using Data Envelopment Analysis (DEA). The empirical findings indicate the presence of managerial and scale inefficiencies in the operation of the most of the PSBs. Applying the Tobit regression analysis, the paper also assesses the impact of different environmental factors, like profitability, the level of non-performing assets, size etc. on the efficiency of PSBs. It is observed that banks with high profitability, low level of non-performing assets, and relatively larger size are more technically efficient.

Pengaruh Loan To Deposit Ratio Dan Tingkat Suku Bunga Kredit Terhadap Return On Asset

2021 ◽  
Vol 9 (1) ◽  
pp. 93-102
Author(s):  
Dini Wulandari ◽  
Mangasa Augustinus Sipahutar
Keyword(s):  
Financial Institution ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Return On Assets ◽  
The Public ◽  
Analysis Technique ◽  
Negative Effect ◽  
Using Data ◽  
The Relationship ◽  
Positive Effect

Bank is a financial institution that serves as a financial intermediary, which means collecting funds from the public and channel them back to the community in the form of loans.           This research Using data from published financial statements and published from Indonesian banks in the period 2015-2019. Using data from Quarterly. The analysis technique used in this research is multiple linear regression analysis to determine how much the relationship between one variable to another variable. In addition, the test results can be concluded by the multivariate coefficient that LDR has a positive effect and no significant effect on ROA, while lending rates have a significant negative effect on ROA.   Keywords: Return On Assets (ROA), Loan to deposit Ratio (LDR), Credit interest rate level

scholarly journals Examining Banks Profitability and Banks Efficiency of Islamic Commercial Banks in Indonesia

2017 ◽  
Author(s):  
chandra setiawan ◽  
Onie Insany Kodratillah
Keyword(s):  
Technical Efficiency ◽  
Commercial Banks ◽  
Least Square ◽  
Data Envelopment ◽  
Return On Assets ◽  
Published Report ◽  
Net Profit ◽  
Report Data ◽  
Using Data ◽  
The Relationship

This research investigates: first, the Return on Assets (ROA) determinants of Islamic commercial banks in Indonesia period of 2012Q1 – 2016Q2 using panel least square by adopting Fixed Effect Method (FEM); second, measuring the technical efficiency level using Data Envelopment Analysis (DEA) approach; third, the relationship between technical efficiency and Return on Assets (ROA) using simple regression. This research uses time series and quarterly published report data from Central Bank (Bank Indonesia). The results as follows: Size (log total assets), Operational Efficiency Ratio (OER), Net Profit Margin ratio (NPM), Financing to Deposit Ratio (FDR), and BI rate have partially and simultaneously significant effect toward Return on Assets (ROA). The average technical efficiency of Islamic commercial banks is 0.919 or 91.9%. This finding indicates that Bank Negara Indonesia Syariah (BNIS) in the research period as the most technical efficiency. It shows that in overall Islamic commercial banks is still inefficient in managing their performance. The finding reveals there is no significant relationship between Technical Efficiency and Return on Asset.

Estimasi Pengaruh Faktor Internal Bank dan Stabilitas Makroekonomi terhadap Profitabilitas dengan Mediasi Rasio Pembiayaan Bermasalah di PT Bank Muamalat Indonesia

2020 ◽  
Vol 3 (2) ◽  
pp. 93-108
Author(s):  
Annisa Siti Fathonah ◽  
Dadang Hermawan
Keyword(s):  
Secondary Data ◽  
Financial Statements ◽  
Significant Positive Effect ◽  
Return On Assets ◽  
Internal Factors ◽  
Macroeconomic Factors ◽  
Operating Income ◽  
Significant Negative Effect ◽  
Negative Effect ◽  
Positive Effect

This study aims to determine and analyze how much influence the bank's internal factors such as Equity, Operational Costs per Operating Income (BOPO), Financing Deposit to Ratio (FDR), Non Performing Financing (NPF) as a mediator and external or macroeconomic factors namely inflation and Gross Domestic Product (GDP) on profitability represented by Return on Assets (ROA) at Bank Muamalat Indonesia for the period 2008-2018. The data used in this research are secondary data obtained from the publication of quarterly financial statements from 2008 to quarter 2 of 2018. The method that used in this research is path analysis with SPSS 20.0 as the analytical tool. The results of the study partially test the hypothesis (t-test), in substructure I shows that the capital variable has a significant negative effect on NPF, BOPO and inflation has a significant positive effect on NPF, FDR and GDP do not significantly influence NPF at Bank Muamalat Indonesia. In substructure II partially, Capital, BOPO, significant negative effect on ROA, FDR and NPF has a significant positive effect on ROA, Inflation and GDP does not significantly influence ROA while simultaneously significantly influencing ROA. Based on the sobel test, capital has a significant effect on ROA through NPF, BOPO has a significant effect on ROA through NPF, FDR has a significant effect on ROA through NPF, Inflation has a significant effect on ROA through NPF, while GDP has no significant effect on ROA through NPF.

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