scholarly journals Non-Parametric Approach towards Smallholders Rubber Production Efficiency: A Two-Stage Data Envelopment Analysis (DEA)

2019 ◽  
Vol 9 (2) ◽  
pp. 10-19 ◽  
Author(s):  
Lina Fatayati Syarifa ◽  
Mad Nasir Shamsudin ◽  
Alias Radam ◽  
Ismail Abd Latif ◽  
Uhendi Haris
Keyword(s):  
Data Envelopment Analysis ◽  
Production Efficiency ◽  
Data Envelopment ◽  
Parametric Approach ◽  
Two Stage ◽  
Rubber Production ◽  
Non Parametric

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

Two-Stage Evaluation of Life Insurance Industry in Taiwan Using Data Envelopment Analysis

2012 ◽  
Vol 468-471 ◽  
pp. 2588-2598
Author(s):  
Hsien Ta Lin
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Production Efficiency ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Investment Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Two Stage ◽  
Overall Efficiency

This study sourced the 2010 data of 25 Taiwanese life insurance companies, and conducted data envelopment analysis (DEA) to evaluate their operating efficiencies. The results can provide references for insurance companies and relevant institutions. The findings showed that there are nine DMUs with an overall efficiency of 1 under DEA at the single stage. Under DEA production efficiency evaluation, there are 15 DMUs with an overall efficiency of 1. Under second stage investment efficiency evaluation, there are 8 DMUs with an overall efficiency of 1. The management matrix diagram classifies 25 life insurance companies into four types, and suggestions are provided for each type of companies for improvements. The evaluation model of two-stage DEA can help measure operational performance and determine the different operations of each stage. The findings indicated that most companies are high product efficiency and low profit or lower product efficiency and profit than other insurance companies. The result can serve as decision references for relevant supervisory authorizes and investors, and in particular, provide reference indicators for life insurance companies, or the supervisory could modify relevant law under not affecting inventors’ benefits.

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.

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 .

scholarly journals Measuring technical efficiency of Thai rubber production using the three-stage data envelopment analysis

2018 ◽  
Vol 64 (No. 5) ◽  
pp. 227-240
Author(s):  
Surakiat Parichatnon ◽  
Kamonthip Maichum ◽  
Ke-Chung Peng
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Efficiency ◽  
Northern Region ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Rubber Production ◽  
Productivity Trend ◽  
Dea Approach

The study investigated the technical efficiency of rubber production in Thailand. Secondary data were collected from the Thai rubber plantations in four regions from 2005 to 2014 by using a three-stage data envelopment analysis (DEA) model. The DEA was used to evaluate the technical efficiency levels and to remove undesirable environmental impacts. Furthermore, the Malmquist productivity index was used to measure the changes in the rubber production efficiency and estimate the rubber productivity trend. The findings indicate that the efficiency scores obtained using adjusted inputs in stage 3 of the DEA approach were higher than the efficiency scores in stage 1 of the DEA approach. Moreover, the results also showed that the Northern region has the worst scores of technical efficiency and declination of productivity among the four regions. However, the technical performance of the Thai rubber production has shown a good performance, an upward productivity trend, and has demonstrated the advantages of the method used. Findings from the study could provide crucial information to farmers, the Thai government, and agricultural planners for formulating effective strategies or plans to improve their technology and efficiency levels.  

Evaluating the relative operational performance of wind power plants in Indian electricity generation sector using two-stage model

2021 ◽  
pp. 0958305X2110435
Author(s):  
Rajeev Kumar ◽  
Pavan Khetrapal ◽  
Manoj Badoni ◽  
Sourav Diwania
Keyword(s):  
Data Envelopment Analysis ◽  
Wind Energy ◽  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Production Efficiency ◽  
Positive Impact ◽  
Data Envelopment ◽  
Two Stage ◽  
Wind Power Plants

Nowadays, to fulfill growing power requirements at reasonable prices, like other European countries, the Indian electricity market is now more oriented towards renewable energy resources. Today, the wind energy industry has grown from a marginal activity to a multi-billion-dollar business in India's power production sector because of its comparatively safer and positive environmental features. Though, there are several wind energy power plants generating electricity in India's different geographical locations, assessing their performance is a crucial task and an important target for stakeholders. In the present study, an attempt is made to quantitatively assess the relative operational efficiencies of 14 wind power plants in India during 2016–2017 to 2019–2020 employing a two-stage data envelopment analysis Tobit model. Further, the sensitivity analysis is implemented in the present study to assess the robustness and efficacy of the data envelopment analysis models with different combinations of inputs and outputs. Data envelopment analysis results indicate that 14% of India's wind power plants were operated at the most productive scale during the observed period 2016–2017 to 2019–2020. The Tobit regression results indicate that the wind turbines’ age adversely affects production efficiency. In contrast, the site elevation has a significant positive impact on the operational efficiency of wind power plants. Findings from the present study may help stakeholders and policy regulators in the wind industry to identify the key factors influencing the performance of ongoing wind power plants in India and optimize operational strategies and policies.

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.

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