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 A Two-Stage DEA Model to Evaluate the Technical Eco-Efficiency Indicator in the EU Countries

2021 ◽  
Vol 18 (6) ◽  
pp. 3038
Author(s):  
Victor Moutinho ◽  
Mara Madaleno
Keyword(s):  
Ghg Emissions ◽  
Atmospheric Pollutants ◽  
Data Envelopment ◽  
Two Stage ◽  
The Sustainable Development ◽  
Eu Countries ◽  
Second Stage ◽  
Development Goals ◽  
Stage Analysis ◽  
The Eu

This paper evaluates the evolution of eco-efficiency for the 27 European Union (EU) countries over the period 2008–2018, provided the traditional high concerns of the EU concerning the economic growth-environmental performance relationship. The EU has triggered several initiatives and regulations regarding environmental protection over the years, but as well the Sustainable Development Goals demand it. Under this setting, we conduct a two-stage analysis, which computes eco-efficiency scores in the first stage for each of the pairs EU 27-year, through the nonparametric method data envelopment analysis (DEA), considering the ratio GDP per capita and greenhouse gas emissions (GHG). In the second stage, scores are used as a dependent variable in the proposed fractional regression model (FRM), whose determinants considered were eight pollutants (three greenhouse gases and five atmospheric pollutants). CO2/area and N2O/area effects are negative and significant, improving the eco-efficiency of the EU 27 countries. When the efficient European countries are excluded from the estimations, the results evidence that CO2/area and CH4/area decrease the DEA score. The country with the lowest GHG emissions and pollutant gases was Ireland, being the country within the considered period that mostly reduced emissions, particularly SOx and PM10, increasing its score.

scholarly journals ANALISIS EFISIENSI PENGGUNAAN DANA MASYARAKAT UNTUK KEGIATAN DHARMA PENDIDIKAN DI INSTITUT PERTANIAN BOGOR

2018 ◽  
Vol 20 (3) ◽  
pp. 352
Author(s):  
Mohammad Nur Hadi, Hermanto Siregar, Hendro Sasongko
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Staff ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Academic Factors ◽  
Second Stage ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Using Data ◽  
Stage Analysis

This study focuses on measuring efficiency of all departements in Bogor Agricultural Institute using Data Envelopment Analysis (DEA) on the first stage and second stage is to determine the factors that influence the efficiency . DEA methodology is to evaluate the efficiency by comparing the all departement and using financial as an inputs and non-financial factors as an outputs. Second stage analysis using tobit regression because dependent factors are cencored between 0 to1 and independent factors uncencored. The results of first stage demonstrate that 54,29 % of departements in Bogor Agricultural University is efficiently operated in terms of academic factors during the period from 2012 to 2014, while 45,71 % is inefficient. And for the second stage the result are international accreditation and non academic staff are the factors can influence the efficiency of departements.

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 ANALISIS EFISIENSI PENGGUNAAN DANA MASYARAKAT UNTUK KEGIATAN DHARMA PENDIDIKAN DI INSTITUT PERTANIAN BOGOR

2017 ◽  
Vol 20 (1) ◽  
pp. 72
Author(s):  
Mohamad Nur Hadi ◽  
Hermanto Siregar ◽  
Hendro Sasongko
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Staff ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Academic Factors ◽  
Second Stage ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Using Data ◽  
Stage Analysis

This study focuses on measuring efficiency of all departements in Bogor Agricultural Institute using Data Envelopment Analysis (DEA) on the first stage and second stage is to determine the factors that influence the efficiency. DEA methodology is to evaluate the efficiency by comparing the all departement and using financial as an inputs and non-financial factors as an outputs. Second stage analysis using tobit regression because dependent factors are cencored between 0 to 1 and independent factors uncencored. The results of first stage demonstrate that 54,29 % of departements in Bogor Agricultural University is efficiently operated in terms of academic factors during the period from 2012 to 2014, while 45,71 % is inefficient. DEA results also show that the Department of gain increasing and decreasing on the time between 2012-2014, the increasing Department is 29% from the total Department, while the decreasing is 20% and the rest always obtain a good level of efficiency. Second stage the result are international accreditation and non academic staff are the factors can influence the efficiency of departements.

Labour-use Efficiency of Assam Gramin Vikash Bank: Branch- and District-level Analysis

2021 ◽  
pp. 232102222110243
Author(s):  
Mohuya Deb Purkayastha ◽  
Joyeeta Deb ◽  
Ram Pratap Sinha
Keyword(s):  
Efficiency Score ◽  
Significant Variable ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Second Stage ◽  
Time Period ◽  
Use Efficiency ◽  
The Mean ◽  
The Impact ◽  
Observation Period

The present study estimated labour-use efficiency of 48 branches of Assam Gramin Vikash Bank at its branch level, covering three districts of Barak Valley, which falls under Silchar region of the bank for the time period from 2010–2011 to 2017–2018. The study applied data envelopment analysis for estimating labour-use efficiency. In the second stage, the study applied censored Tobit regression for determining the impact of several contextual variables on efficiency. The study reveals that the mean labour-use efficiency score of the selected branches is 76% when averaged for the in-sample branches over the observation period. Results of the Tobit regression identified cluster 2 and total business of the branches as the significant factors for determining efficiency and the number of employees as a significant variable influencing inefficiency. JEL Classifications: G2, G20, G21, J3

Benchmarking the efficiencies of Indonesia’s municipal water utilities using Stackelberg data envelopment analysis

2015 ◽  
Vol 22 (4) ◽  
pp. 588-609 ◽  
Author(s):  
Andreas Wibowo ◽  
Hans Wilhelm Alfen
Keyword(s):  
Data Envelopment Analysis ◽  
The Body ◽  
Water Utilities ◽  
Data Envelopment ◽  
Two Stage ◽  
Restrictive Assumption ◽  
Content Type ◽  
Second Stage ◽  
Municipal Water ◽  
The Impact

Purpose – The purpose of this paper is to present a yardstick efficiency comparison of 269 Indonesian municipal water utilities (MWUs) and measures the impact of exogenous environmental variables on efficiency scores. Design/methodology/approach – Two-stage Stackelberg leader-follower data envelopment analysis (DEA) and artificial neural networks (ANN) were employed. Findings – Given that serviceability was treated as the leader and profitability as the follower, the first and second stage DEA scores were 55 and 32 percent (0 percent = totally inefficient, 100 percent = perfectly efficient), respectively. This indicates sizeable opportunities for improvement, with 39 percent of the total sample facing serious problems in both first- and second-stage efficiencies. When profitability instead leads serviceability, this results in more decreased efficiency. The size of the population served was the most important exogenous environmental variable affecting DEA efficiency scores in both the first and second stages. Research limitations/implications – The present study was limited by the overly restrictive assumption that all MWUs operate at a constant-return-to-scale. Practical implications – These research findings will enable better management of the MWUs in question, allowing their current level of performance to be objectively compared with that of their peers, both in terms of scale and area of operation. These findings will also help the government prioritize assistance measures for MWUs that are suffering from acute performance gaps, and to devise a strategic national plan to revitalize Indonesia’s water sector. Originality/value – This paper enriches the body of knowledge by filling in knowledge gaps relating to benchmarking in Indonesia’s water industry, as well as in the application of ensemble two-stage DEA and ANN, which are still rare in the literature.

scholarly journals Technical efficiency of public health centers in three districts in Ethiopia: two-stage data envelopment analysis

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Firew Tekle Bobo ◽  
Mirkuzie Woldie ◽  
Muluemebet Abera Wordofa ◽  
Gebeyehu Tsega ◽  
Tesfamichael Alaro Agago ◽  
...  
Keyword(s):  
Public Health ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Health Centers ◽  
Data Envelopment ◽  
Two Stage

scholarly journals Determinants of Efficiency of Zakat Institutions in Indonesia: Two-Stage Data Envelopment Analysis Approach

2019 ◽  
Author(s):  
Rizki Kurniawan
Keyword(s):  
Data Envelopment Analysis ◽  
Quantitative Research ◽  
Positive Trend ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Two Stage ◽  
Analysis Technique ◽  
Negative Effect ◽  
Input Variables ◽  
Research Period

This study aims to analyze the level of efficiency and determine the factors that affect the efficiency of the National Zakat Management Organization (OPZ). This research is descriptive quantitative research. Samples in this study are six National Zakat Management Organizations with research period from 2012-2016. The analysis technique used is two-stage data envelopment analysis. First stage, using DEA to measure OPZ efficiency level with production approach and assumption of output-oriented CRS and VRS. The input variables used are amil salary, operational costs, and socialization costs, the output variables used are collected funds and funds disbursed. Second stage, using tobit regression model to see the factors that affect OPZ efficiency. Based on the results of DEA, during the period of 2012-2016 OPZ efficiency experienced a positive trend. In general there had been an increase in OPZ performance efficiency from 2012 to 2016. BNUIS BNI became the most efficient OPZ compared to other OPZ. Based on the results of Tobit regression, the total of human resources has a significant negative effect on the level of efficiency, transparency and OPZ type significantly positive, while the zakat payment system and ACR ratio do not affect the efficiency level of OPZ.

scholarly journals Alternative Secondary Goals in Multiplicative Two-Stage Data Envelopment Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chao Lu ◽  
Haifang Cheng
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Data Envelopment ◽  
Nonparametric Method ◽  
Two Stage ◽  
Dea Model ◽  
Second Stage ◽  
China Construction Bank ◽  
Overall Efficiency ◽  
Decision Making Units

Data envelopment analysis (DEA) is a nonparametric method for evaluating the relative efficiency of a set of decision-making units (DMUs) with multiple inputs and outputs. As an extension of the DEA, a multiplicative two-stage DEA model has been widely used to measure the efficiencies of two-stage systems, where the first stage uses inputs to produce the outputs, and the second stage then uses the first-stage outputs as inputs to generate its own outputs. The main deficiency of the multiplicative two-stage DEA model is that the decomposition of the overall efficiency may not be unique because of the presence of alternate optima. To remove the problem of the flexible decomposition, in this paper, we maximize the sum of the two-stage efficiencies and simultaneously maximize the two-stage efficiencies as secondary goals in the multiplicative two-stage DEA model to select the decomposition of the overall efficiency from the flexible decompositions, respectively. The proposed models are applied to evaluate the performance of 10 branches of China Construction Bank, and the results are compared with the results of the existing models.

scholarly journals EBA's Capital Exercise and Technical Efficiency of the Banks

2020 ◽  
Vol 12 (4) ◽  
pp. 371-402
Author(s):  
Adhiraj Singh Rathore
Keyword(s):  
Technical Efficiency ◽  
Financial Distress ◽  
Capital Requirements ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Macroeconomic Conditions ◽  
Country Level ◽  
European Banking ◽  
The Impact

This study uses a sample of 194 banks from 15 EU countries and two-stage data envelopment analysis (DEA) to provide evidence on the impact of the European Banking Authority (EBA)'s capital exercise on banks' efficiency. In the first stage of the analysis, we measure the efficiency by employing DEA. We then use Tobit regression to investigate the impact of the capital exercise on banks' technical efficiency. We estimate several specifications while controlling for bank-specific attributes and country-level characteristics accounting for macroeconomic conditions, financial development and market structure. The results indicate that EBA's capital exercise came, as a shock for the banks would be contributing towards making the banks more stable. It would be preventing banks from excessive risk-taking activities. Furthermore, it would be allowing the banks to withstand the financial distress and contributing in banks be- coming less prone to the systemic risk. The study finds that the capital requirements would be creating favourable economic conditions, which would be, affect the extent, depth and quality of financial intermediation and banking services.

Sign in / Sign up

Export Citation Format

Share Document