scholarly journals The Efficiency of Railways Specialized in Transporting Iron Ore and Pellets

2022 ◽  
Vol 26 (1) ◽  
Author(s):  
Renata G. de Oliveira Fontan ◽  
Rodrigo Alvarenga Rosa ◽  
Adonai José Lacruz
Keyword(s):  
Iron Ore ◽  
Good Method ◽  
Data Envelopment ◽  
Efficiency Frontier ◽  
Tobit Regression ◽  
Output Variable ◽  
Applied Model ◽  
Multicriteria Method ◽  
Input Variables ◽  
Validation Strategy

ABSTRACT Objective: the objective is to compare the relative efficiency of the railways specialized in transporting iron ore (MFe) and pellets (PLMFe), which are part of the assets of mining companies and pellet plants considering the 2016 scenario. Methods: the methods used were the data envelopment analysis (DEA) technique, with the application of the output-oriented constant returns scale (CRS) model; the initial combinatorial multicriteria method for choosing the input variables; and Tobit regression as a validation strategy for the DEA model. Results: of the twelve railways evaluated, three railways were identified as efficient: Estrada de Ferro Carajás, Fortescue, and Mount Newman. Conclusions: the applied model was considered a good method to evaluate the efficiency of railways specialized in transporting MFe and PLMFe, as it determined the efficiency of each railway, suggesting the necessary increase in the output variable or adjustments in the input variables so that the railways reach the efficiency frontier. With that, companies can use the results of this study to guide future improvements to make their railways more efficient or maintain them on the frontier of efficiency.

scholarly journals Eficiência das Ferrovias Especializadas em Transporte de Minério de Ferro e Pelotas

2022 ◽  
Vol 26 (1) ◽  
Author(s):  
Renata G. de Oliveira Fontan ◽  
Rodrigo Alvarenga Rosa ◽  
Adonai José Lacruz
Keyword(s):  
Iron Ore ◽  
Good Method ◽  
Data Envelopment ◽  
Efficiency Frontier ◽  
Tobit Regression ◽  
Output Variable ◽  
Applied Model ◽  
Multicriteria Method ◽  
Input Variables ◽  
Validation Strategy

ABSTRACT Objective: the objective is to compare the relative efficiency of the railways specialized in transporting iron ore (MFe) and pellets (PLMFe), which are part of the assets of mining companies and pellet plants considering the 2016 scenario. Methods: the methods used were the data envelopment analysis (DEA) technique, with the application of the output-oriented constant returns scale (CRS) model; the initial combinatorial multicriteria method for choosing the input variables; and Tobit regression as a validation strategy for the DEA model. Results: of the twelve railways evaluated, three railways were identified as efficient: Estrada de Ferro Carajás, Fortescue, and Mount Newman. Conclusions: the applied model was considered a good method to evaluate the efficiency of railways specialized in transporting MFe and PLMFe, as it determined the efficiency of each railway, suggesting the necessary increase in the output variable or adjustments in the input variables so that the railways reach the efficiency frontier. With that, companies can use the results of this study to guide future improvements to make their railways more efficient or maintain them on the frontier of efficiency.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPOR BERAS DI INDONESIA PERIODE 2000:01 – 2009:04

Media Ekonomi ◽  
2017 ◽  
Vol 18 (2) ◽  
pp. 69
Author(s):  
Malyda Husna Salsyabilla
Keyword(s):  
Data Envelopment Analysis ◽  
Capital Market ◽  
Secondary Data ◽  
Data Envelopment ◽  
Analysis Method ◽  
Output Variable ◽  
Performance Levels ◽  
Public Firms ◽  
Debt Capital ◽  
Input Variables

<p>This study aims to determine the efficiency levels of cigarettes industry in Indonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis) method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam.</p>

scholarly journals ANALISIS EFISIENSI INDUSTRI ROKOK DI INDONESIA DENGAN MENGGUNAKAN METODE DEA (DATA ENVELOPMENT ANALYSIS) TAHUN 2006 - 2008

Media Ekonomi ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 73 ◽  
Author(s):  
Ida Ayu Puspitasari
Keyword(s):  
Data Envelopment Analysis ◽  
Capital Market ◽  
Secondary Data ◽  
Total Asset ◽  
Data Envelopment ◽  
Analysis Method ◽  
Output Variable ◽  
Public Firms ◽  
Debt Capital ◽  
Input Variables

<p>This study aims to determine the efficiency levels of cigarettes industry inIndonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis)method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam.<br />Keywords : Efficiency, DEA, Cigarette Company, Labor, Debt, Capital, Total Asset, Net Sales, Gross Profit.</p>

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 Implementation of Data Envelopment analysis (DEA) in measuring the efficiency zakat fund management

2019 ◽  
Vol 1 (1) ◽  
pp. 50-57
Author(s):  
Tsalis Syaifuddin
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Fund Management ◽  
Improve Performance ◽  
Output Variable ◽  
Travel Costs ◽  
Parametric Data ◽  
Dea Method ◽  
Input Variables ◽  
Output Variance

This study aims to determine the efficiency level of management of zakat funds at the National Zakat Amil Agency (BAZNAS). The author uses the quantitative non-parametric Data Envelopment Analysis (DEA) method. Total assets, promotion, and documentation costs, and official travel costs as input variables. Whereas the output variance consists of receiving zakat funds and distributing zakat funds. The results showed that BAZNAS experienced efficiency in 2012-2014 and 2017 with a score of 100%. Inefficiencies occurred in 2015 at 79.16% and in 2016 amounted to 98.72%. In 2015-2016, all input variables experienced inefficiency, while the output variable was the only inefficient distribution of zakat funds. In overcoming, inefficiencies can be adjusted between the target and actual quantities specified in the DEA calculation. The author recommends that BAZNAS pay attention to the causes of inefficiency so that it can improve performance better.

scholarly journals Operational Efficiency and its Determinants in Indian Machinery Manufacturing Firms

2019 ◽  
Vol 8 (3) ◽  
pp. 4901-4931
Keyword(s):  
Manufacturing Industry ◽  
Operational Efficiency ◽  
Manufacturing Firms ◽  
Data Envelopment ◽  
Efficiency Frontier ◽  
Efficiency Improvement ◽  
Input Variables ◽  
Using Data ◽  
Machinery Manufacturing ◽  
Analysis Models

Operational efficiency in machinery manufacturing industry is determined using data envelopment analysis models. Data pertaining to 137 machinery manufacturing firms in India for the years 2005–2010 is used for the study. The output can be increased by 30.12 percent without affecting the input levels. Fourteen among the firms identified efficient appear to be peers to other less efficient machinery firms. The slack of the input variables are identified and reducing these to zero is suggested to achieve 100% efficiency. A super-efficiency analysis of peer firms is conducted to identify the firms important for efficiency improvement. The gearing ratio contributes significantly to the inefficiencies, and attaining the efficiency frontier requires the follower of a peer firm to maintain constant values of the sensitive variables and reduce the input slack of the influencing variable to zero.

scholarly journals Determinants of Cost Efficiency of Takaful and Conventional Insurance Firms of Pakistan

2018 ◽  
Vol 4 (2) ◽  
pp. 331-340
Author(s):  
Muhammad Abbas ◽  
Allah Bakhsh Khan ◽  
Salman Abbasi ◽  
Zeeshan Mahmood
Keyword(s):  
Data Envelopment Analysis ◽  
Equity Capital ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Fixed Assets ◽  
Efficiency Performance ◽  
Dea Efficiency ◽  
Insurance Firms ◽  
Input Variables ◽  
Tobit Regression Analysis

This study investigates the Efficiency Performance of Takaful and Conventional Insurance Firms of Pakistan in terms of Cost, Allocative and Technical efficiencies for the period of 2010-2015. Six years panel data of Takaful and listed Conventional Insurance Firms of Pakistan is taken under consideration. The Methodology of Data Envelopment Analysis (DEA) is used in order to estimate efficiencies scores. Furthermore, Tobit Regression Analysis is carried out for determination of the real contributors of efficiencies in Insurance and takaful Industry of Pakistan. In Data Envelopment Analysis, Labor, Total Fixed Assets and Total Equity Capital are used as input variables. Simultaneously, the price variables are used along with input variables such as Price of Labor, Price of Total Fixed Assets and Price of Total Equity Capital. The output variables include Invested Assets, Investment Incomes and Net Premiums. In second Stage Analysis (i.e. Tobit regression), DEA efficiency scores are used as dependent variable, whereas Age, Size, and Leverage are used as independent variables along with the dummy for conventional and Takaful firms of Pakistan. This study found that Takaful and insurance firms have been operating on almost equal efficiency levels. Furthermore LEVERAGE is the main contributor for efficiency optimization, followed by the firm SIZE, whereas, firm’s AGE has no contribution in efficiency scores.

Technical efficiency of private sector hospitals in India using data envelopment analysis

2018 ◽  
Vol 25 (9) ◽  
pp. 3570-3591 ◽  
Author(s):  
Aradhana Vikas Gandhi ◽  
Dipasha Sharma
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Hospital Industry ◽  
Technological Advancement ◽  
Tobit Regression ◽  
Content Type ◽  
Input Variables

Purpose The purpose of this paper is to ascertain the performance of Indian hospitals in recent past and derive meaningful insights for policy makers and practicing managers in this area. Design/methodology/approach This paper analyses the technical efficiency of select Indian private hospitals using three related methodologies: data envelopment analysis (DEA), Malmquist Productivity Index (MPI) and Tobit regression. Two output variables (i.e. total income and profit after tax) and four input variables (i.e. cost of labour, net fixed assets, current assets and other operating expenses) were selected for the purpose of the study. Findings DEA analysis has shown that 14 out of 37 hospitals are found to be efficient under the Cooper and Rhodes model of DEA and 20 out of 37 hospitals are efficient under the Banker, Charles and Cooper model of DEA. The empirical results pertaining to MPI indicate an overall productivity progress in the private Indian hospital industry during the study period, which is largely due to technological advancement in the industry. Tobit regression demonstrates that chain affiliated, specialized and multi-city located hospitals exhibit a higher technical efficiency. Research limitations/implications This study has a limitation with reference to the unavailability of data on the input and output parameters of the model. The data related to the number of beds, number of doctors, number of nurses, etc., were not available for the period under consideration. Originality/value This study seems to be one of the few studies applying productivity and performance analysis using DEA, MPI and Tobit regression for the Indian private hospital industry.

scholarly journals EFFICIENCY OF ZAKAT MMANAGEMENT OORGANIZING (OPZ) IN INDONESIA

2020 ◽  
Vol 16 (1) ◽  
pp. 112-149
Author(s):  
Roikhan Mochamad Aziz
Keyword(s):  
Data Envelopment Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Data Envelopment ◽  
Output Variable ◽  
Personnel Costs ◽  
Operational Costs ◽  
Input Variables ◽  
Using Data

National charity potential in Indonesia is very large, but not comparable to the fact that the number accumulation ZIS in Indonesia. Then, needs to be done to optimize the potential of zakat is one of them with efficiency. The purpose of this study was to determine the level of efficiency of Zakat Management Organization (OPZ). The sampling technique used in this research is purposive sampling by taking a sample of 2 organizations zakat is BAZNAS and PKPU. The data used in this research is secondary data obtained from financial statements published by BAZNAS and PKPU. Measurement of efficiency in this study using Data Envelopment Analysis (DEA).Input variables used in this study is the operational costs and personnel costs, while the output variable is the receipt and disbursement of zakat. Results from this study showed that only BAZNAS who always achieve efficiency levels of 100 percent during 2011-2013, while PKPU experiencing fluctuating conditions of efficiency. On average achievement BAZNAS efficiency from 2011 through 2013 is equal to 100 per cent, while the average achievement of efficiency PKPU fluctuated during the period 2011-2013 amounted to 52.13 percent.

scholarly journals ANALISIS KINERJA KANTOR UNIT BANK RAKYAT INDONESIA (BRI) CABANG MEULABOH MELALUI PENDEKATAN METODE DATA ENVELOPMENT ANALYSIS (DEA)

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Arie Saputra
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Process Efficiency ◽  
Primary Data ◽  
Data Envelopment ◽  
Output Variable ◽  
Financial Reports ◽  
Input Variables ◽  
Branch Office ◽  
Number Of Customers

Efficiency is one of the important performance indicators in measuring the performance of an organization, determination of process efficiency by comparison to some of the units of measurement into a proportional response to the question of overall performance object pengmatan unit. This study aims to determine the value of the relativity of a banking organization's efficiency through approaches diunit Data Envelopment Analysis (DEA). Values relative efficiency of a unit obtained by the ratio of input and output used to see the amount of weight of each unit when there is a process of comparison (benchmarking). Adapaun data used in this study are primary data derived from Bank BRI branch office unit that Meulaboh Cut Nyak Dien office units, office units and office units Johan Pahlawan Teuku Umar in the form of annual financial reports for two years (2014 and 2015). For the study variables divided into two input variables consisting of the number of employees, the number of deposits, the number of customers and the amount of operating costs (BOP) while the output variable is the number of loans and total income (revenue). By using the DEA method can know the amount of the value of the relative efficiency of the three units of Bank BRI branch offices in Meulaboh, for the year 2014 Cut Nyak Dien office units, office units and office units Johan Pahlawan Teuku Umar obtain efficient relative value = 1, which means efficient. Whereas in 2015 the office unit Johan Pahlawan obtain the relative efficiency value = 0.81, which means less efficient. In order to achieve the level of efficiency relative = 1, then the office of Johan Pahlawan unit should increase the number of variables output by 41.18%. where an increase in the output variable Johan Pahlawan office unit for the amount of credit granted is Rp. 910 515 743 and for the income (revenue) amounting to Rp. 2738029201.Keywords : Bank Performance, Data Envelopment Analysis (DEA), relative efisiensi.

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