scholarly journals Measuring Energy Efficiency in Kerala: Data Envelopment Analysis

2019 ◽  
Vol 6 (4) ◽  
pp. 16-28
Author(s):  
Vijayamohanan Pillai N ◽  
AM Narayanan
Keyword(s):  
Data Envelopment Analysis ◽  
Energy Use ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
Parametric Approach ◽  
Factor Productivity ◽  
Energy Productivity ◽  
Efficiency Measures ◽  
Non Parametric

Traditionally, there are two basically reciprocal energy efficiency Indicators: one, in terms of energy intensity, that is, energy use per unit of activity output, and the other, in terms of energy productivity, that is, activity output per unit of energy use. The enquiry that has proceeded from the problems associated with this method of a single energy input factor in terms of productivity has led to multi-factor productivity analysis. We have here two approaches: parametric and non-parametric. Parametric approach famously includes two methods: the erstwhile popular total factor energy productivity analysis and the currently fanciful stochastic frontier production function analysis; The non-parametric approach is popularly represented by data envelopment analysis. The present paper is an attempt to measure efficiency in electrical energy consumption in Kerala, India. We apply the non-parametric mathematical programming method of data envelopment analysis of the multi-factor productivity approach, and estimate the efficiency measures under the two scale assumptions of constant returns to scale (CRS) and variable returns to scale (VRS); the latter includes both increasing (IRS) and decreasing returns to scale (DRS). Scale efficiency measures are also given to find out whether a firm is operating at its optimal size or not, implying degrees of capacity utilization.

Efficiency of glass firms in India: an application of data envelopment analysis

2016 ◽  
Vol 13 (1) ◽  
Author(s):  
Mini Kundi ◽  
Seema Sharma
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Design Methodology ◽  
Large Scale ◽  
Returns To Scale ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Measures ◽  
Target Values ◽  
Practical Implications

Purpose The purpose of the present study is to evaluate the efficiency of glass firms in India. Design/methodology/approach Data envelopment analysis (DEA) has been employed to study the technical, scale and super efficiency measures of glass firms in India. Findings Major findings of DEA analysis show that 65 percent firms are found to be technically efficient. Returns to scale analysis indicate that five firms are operating at decreasing returns to scale and two firms are exhibiting increasing returns to scale. Further, results show that small– and medium–scale firms are more efficient than large–scale firms. Old firms are more efficient compared to the young firms and foreign-owned firms are technically more efficient compared to the domestic firms. Practical implications The results of this study would help the managers to assess their relative efficiency and take corrective measures to efficiently use their resources. Originality/value This seems to be the first study to apply DEA to analyze the efficiency of glass firms in India. No previous study on glass industry seems to have decomposed the measure of overall technical efficiency into its components, namely pure technical efficiency and scale efficiency and no study seems to have examined whether ownership, age and size of a firm are significant for its efficiency. In addition, no earlier study seems to have ranked the glass firms based on their efficiency values. Further, target values of inputs and outputs are demonstrated in this study. Stability of efficiency scores is also checked.

scholarly journals Assessing Efficiency in the Pharmaceutical Sector of Nigeria

2019 ◽  
pp. 131-147
Author(s):  
Efayena, O. Obukohwo ◽  
Enoh H. Olele ◽  
Patricia N. Buzugbe
Keyword(s):  
Data Envelopment Analysis ◽  
Research And Development ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Policy Mix ◽  
Pharmaceutical Sector ◽  
Pharmaceutical Firms ◽  
Constant Returns To Scale ◽  
Variable Returns To Scale ◽  
Non Parametric

The study analyses, empirically, the efficiency of the Pharmaceutical sector in Nigeria. Employing a balanced panel of 20 pharmaceutical firms between 2012 and 2016, the paper uses a non-parametric technique (Data Envelopment Analysis) to analyze the firms' efficiency under the constant returns to scale (CRS) and variable returns to scale (VRS) assumptions. The results obtained shows inefficiency in the pharmaceutical sector as it operates under a decreasing return to scale. This calls for an appropriate policy mix to stimulate the efficiency of the pharmaceutical sector in Nigeria by enhancing research and development (R&D) as well as regulations within the sector.

scholarly journals EFFICIENCY IN ISLAMIC BANKING: A NON-PARAMETRIC APPROACH

2007 ◽  
Vol 9 (4) ◽  
Author(s):  
Umi Karomah Yaumidin
Keyword(s):  
Data Envelopment Analysis ◽  
Jel Classification ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Parametric Approach ◽  
Non Parametric

Penelitian ini bertujuan untuk membandingkan tingkat efisiensi bank-bank Islam di kawasan Timur Tengah dan Asia Tenggara. Hal ini didasari pada kegagalan perbankan yang mendorong terjadinya krisis keuangan domestik maupun international dalam dasawarsa terakhir. Efisiensi perbankan akhirnya menjadi perhatian penting tidak hanya di Asia setelah krisis di tahun 1997, namun juga di belahan dunia lainnya. Di sisi lain perkembangan bank-bank Islam kiranya telah dianggap sebagai alternatif solusi untuk menuju perbankan yang sehat. Dengan demikian, studi tentang efisiensi bank-bank Islam menjadi kajian menarik, terutama perbandingan efisiensi antar kawasan. Dalam paper ini digunakan metode non parametrik Data Envelopment Analysis (DEA) untuk mengukur efisiensi skor data panel yang mencakup empat puluh delapan bank Islam selama kurun waktu 2000 hingga 2004. Pendekatan yang digunakan dalam paper ini adalah pendekatan intermediasi yang dianggap paling sesuai dengan prinsip-prinsip sistem keuangan Islam.Secara keseluruhan, hasil perhitungan menunjukkan bahwa bank-bank Islam di Asia Tenggara sedikit lebih effisien dibandingkan bank-bank Islam di Timur Tengah. Salah satu penyebabnya adalah tragedi 9/11 di tahun 2001 dan perang Iraq yang berlangsung di tahun 2002. Oleh karena itu dapat disimpulkan bahwa bank-bank Islam masih sangat tergantung pada sistem keuangan dan segala bentuk peraturan perbankan yang berlaku baik di tingkat nasional, regional maupun global, serta karakteristik perbedaan resiko yang berkonsekuensi pada perbedaan regulasi prudential sangat menentukan fluktuasi skor effisiensi.Keywords:Efficiency, Islamic banking, Data Envelopment Analysis (DEA)JEL Classification: D61, G21, C14

scholarly journals EFFICIENCY PERFORMANCE ANALYSIS OF PANIN DUBAI SYARIAH BANK IN COLLECTING AND DISTRIBUTING THIRD PARTY FUNDS BEFORE AND AFTER MERGER

2019 ◽  
Vol 5 (1) ◽  
pp. 46-56
Author(s):  
Supriyono Supriyono ◽  
Ahmad Rodoni ◽  
Yacop Suparno ◽  
Hermadi Hermadi ◽  
Hilyatun Nafisah
Keyword(s):  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Third Party ◽  
Programming Approach ◽  
Data Envelopment ◽  
Linear Programs ◽  
Parametric Approach ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
Non Parametric

In this study, the researcher would make Panin Dubai Syariah Bank was the object of research on Islamic banks that carry out mergers and acquisitions. This research by using quarterly financial reports to determine the level of efficiency of the Panin Dubai Syariah Bank to be analyzed using the Data Envelopment Analysis (DEA) method. The researcher was used the annual report to find out the extent the Panin Dubai Syariah Bank carries out its Shariah values and objectives to be analyzed based on the Maqashid Index Sharia. The frontier approach can be divided into parametric approaches and non-parametric approaches. The parametric  approach  takes  measurements  using  stochastic  econometrics  and  seeks  to  eliminate interference from the effects of inefficiency. While the non-parametric approach with linear programs ( non-parametric linear programming approach ) performs non-parametric measurements using an approach is not stochastic and tends to combine the interference into inefficiency. This is based on the discovery and observation of the population and evaluates efficiency relative to the units observed. In the non- parametric method, the approaches that can be used are Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). The results of the measurement of Bank Panin Dubai Syariah using DEA indicate that the decision to merge carried out by Panin Syariah Bank with Dubai Islamic Bank was the right decision because, with the merger, Panin Dubai Syariah Bank could produce almost perfect efficiency value of 99% in the year 2015. With doing the merger, Bank Panin Dubai Syariah can minimize the inefficiencies that occur in the input variable so that it can maximize the efficiency that occurs in the output variable

Data Envelopment Analysis with Output-Bounded Data

2016 ◽  
Vol 33 (06) ◽  
pp. 1650050 ◽  
Author(s):  
Juan Du ◽  
Jiazhen Huo ◽  
Joe Zhu
Keyword(s):  
Data Envelopment Analysis ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Practical Applications ◽  
Efficiency Measures ◽  
Output Side ◽  
Bounded Data ◽  
Constant Returns To Scale ◽  
Percentage Data ◽  
Decision Making Units

In conventional data envelopment analysis (DEA), data are usually assumed to be non-negative with no specific bounds. However, many practical applications require some data, and thus their projections, to fall within certain limits. For example, percentage data such as the satisfactory rate cannot exceed 100% to make sense. This data characteristic is very likely to be violated under the assumption of constant returns to scale (CRS), due to its ray expansion property. In order to tackle this issue under CRS, a series of radial models are developed to constrain DEA projections within imposed bounds from the output side. Then efficient decision making units (DMUs) can be further discriminated simply by eliminating it from the reference set, avoiding the infeasibility problem existing in the VRS super-efficiency measures. The methodology is demonstrated with data consisting of 119 general acute care hospitals located in Pennsylvania, USA.

A Non Parametric Approach for Measuring the Operational Efficiency of Water Service Providers

2013 ◽  
Vol 409-410 ◽  
pp. 108-113
Author(s):  
Corrado lo Storto
Keyword(s):  
Data Envelopment Analysis ◽  
Service Providers ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Parametric Approach ◽  
Water Service ◽  
Financial Variables ◽  
Physical Infrastructure ◽  
Infrastructure Network ◽  
Non Parametric

This paper presents a benchmarking study that measures operational efficiency of water service providers. The problem of measuring the operational efficiency of water suppliers is addressed by adopting a non parametric approach based on Data Envelopment Analysis. The benchmarking model uses both physical infrastructure network and financial variables. The model is implemented calculating efficiencies of 53 Italian service providers. Results show that there are important operational inefficiencies, mostly due to scale diseconomies.

An Evaluation of Leasing Companies' Efficiency Through Data Envelopment Analysis

2020 ◽  
Vol 8 (2) ◽  
pp. 1-22
Author(s):  
Syed Khaled Rahman
Keyword(s):  
Number Theory ◽  
Data Envelopment Analysis ◽  
Weak Efficiency ◽  
Index Number ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Index Number Theory ◽  
Efficiency Measures ◽  
Multi Temporal ◽  
One Year

The purpose of the study was to measure and decompose total factor productivity efficiency (TFPE) into technical, scale, and mix efficiency with a view to explore weak efficiency dimension of 22 leasing companies (2013-2017) through DEA in a constant return to scale approach. Indices are used they satisfy all economically relevant axioms and tests from index number theory by making reliable multi-temporal and/or multi-lateral comparisons of efficiency. Three input and two output variables from published reports of sample firms were used to measure efficiency. It is seen that average TFPE of all leasing firms is only 31.86% while the average OTE is 64.28%. By using the same input firms can increase their output by 47.1%. IME of the firms is healthy (0.7821) which means that firms are at satisfactory efficiency level in mixing their inputs. There are opportunities for firms to increase efficiency by operating at MPSS on an unrestricted frontier. Except for RISE, efficiency measures are not significantly different from one year to another rather differ from one firm to another.

scholarly journals Membandingkan Efisiensi Bank Syariah Di Indonesia Dan Malaysia Dengan Metode Data Envelopment Analysis (DEA)

2017 ◽  
Vol 3 (4) ◽  
pp. 333
Author(s):  
Hikmah Maulidiyah ◽  
Nisful Laila
Keyword(s):  
Data Envelopment Analysis ◽  
Hypothesis Test ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Parametric Approach ◽  
Islamic Bank ◽  
Using Data ◽  
Non Parametric

This study measured and compared the efficiency of Islamic Bank in Malaysia and Indonesia. This sytudy used a quantitative non-parametric approach by using Data Envelopment Analysis (DEA)VRS assumption, and a statistic tool Mann-Whitney-U-Test. The samples were 6 Islamic Banks in Malaysia and 10 Islamic Bank in Indonesia that comply with the specified sample criteria during 2010-2014.The results of this research showed that Islamic Banks in Indonesia relatively higher than Islamic Bank in Malaysia based on VRS assumption. Source of inefficiency in Islamc banks in Indonesia more due to inefficiency on a scale. While the hypothesis test showed that there are no significant differences of efficiency between Islamic bank in Indonesia and Malaysia with VRS Assumtion .

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