1,365 research outputs found
Stochastic Nonparametric Envelopment of Data: Combining Virtues of SFA and DEA in a Unified Framework
No full textThe literature of productive efficiency analysis is divided into two main branches: the parametric Stochastic Frontier Analysis (SFA) and nonparametric Data Envelopment Analysis (DEA). This paper attempts to combine the virtues of both approaches in a unified framework. We follow the SFA literature and introduce a stochastic component decomposed into idiosyncratic error and technical inefficiency components imposing the standard SFA assumptions. In contrast to the SFA, we do not make any prior assumptions about the functional form of the deterministic production function. In this respect, we follow the nonparametric route of DEA that only imposes free disposability, convexity, and some specification of returns to scale. From the postulated class of production functions, the proposed method identifies the production function with the best empirical fit to the data. The resulting function will always take a piece-wise linear form analogous to the DEA frontiers. We discuss the practical implementation of the method and illustrate its potential by means empirical examples.Productivity Analysis,
HUBUNGAN ANTARA DUKUNGAN SOSIAL DENGAN KONFLIK PEKERJAAN-KELUARGA PADA KARYAWAN PT. A.W. FABER CASTELL INDONESIA DI BEKASI
No full textABSTRACT
DEA ERLISYA HIDAYAT. Relationship Between Social Support With Work- Family Conflict In Employed PT. A.W Faber Castell Indonesia In Bekasi.
Thesis, Jakarta: Study Program of Economic Education Program, Concentration Of Office Administration Education, Department of Economic and Administration, Faculty of Economic, State University of Jakarta, January 2012.
This research aims to determine whether there is a relationship between social support wit work-family conflict on employee PT A.W Faber Castell Indonesia. The research method used is survey method with the correlational approach. The research population was all employees of PT. A.W Faber Castell Indonesia. Population reach of this study was 165 female employee with 114 female employee for sampling. The sampling technique used was purposive sampling.
The variabels in this research is the variable X (Social Support) and variable Y (Work-Family Conflict)are both primary data captured using the instrument in the form of questionnaires distributed to employees in several departments (production, ware house, trainee, and head office). The next tested the validity of the content of the validation process of calculating the correlation coefficientscore points with a total score and reliabilty testing with Alpha Cronbach formula. Reliability of 0, 816 for the variable X and variable Y 0,811. Test requirements analysis is performed by finding the regression equation obtained was Y = 86,43-0,458X. Normality test error of Y estimate of X using the liliefors test and obtained L count = 0,047 compared with L
at 0,05 significance level of 0,083 then the L count < L table tabel . This means that the error estimate of Y against X is normally distributed. For regression significance test and the result is, F count
(40,99) > F (3,91). Showing that, it has significance regression. Regression linearity test, F table
count (0,83) < F (1,62), showing that regression is linear. Test Product Moment correlation coefficient of -0,518 showing that a negative relationship. Coefficient significance using t-test. The result obtained are dk=n-2=112 and significance level 0,05 is 1,67it means that –t table count
(-1,67)the relationship significant and negative relationship between variable X with variable Y. The calculation of the coefficient of determination r (-6,40) < -t = 0,2679 indicates that 26,79% of the variation of work-family conflict is determined by social support and the rest is determined by other factor is not examined. The conculsion of the research is that there negative relationship between social support with work-family conflict on employee PT. A.W Faber Castell Indonesia in Bekasi
The Portrayal of Family and Self-reflexivity in Luigi Pirandello’s Six Characters in Search of an Author
No full textLuigi Pirandello’s play, Six Characters in Search of an Author (1921, Sei personaggi in cerca d’autore)
portrays numerous significant and functional characteristics of metatheatre, a concept coined by Lionel
Abel. By drawing on such metatheatrical features and the play within a play technique, Pirandello’s play
presents six characters that are in search of an author. This study will, therefore, explain the concept
of metatheatre and present a critical analysis of the play, Six Characters as a self-reflexive play. In this
critical engagement with the text through specific references from the play and relevant secondary sources,
important themes in the play such as reality and illusion, life, art, and the representation of the family in the
play will be analysed. This analysis will ultimately demonstrate that Pirandello presents six characters that
are self-conscious of their position as dramatic characters that manage to act out their roles, which actually
reveal the family relationships between the characters
Double bootstrap confidence intervals in the two-stage DEA approach
No full textContextual factors usually assume an important role in determining firms' productive efficiencies. Nevertheless, identifying them in a regression framework might be complicated. The problem arises from the efficiencies being correlated with each other when estimated by Data Envelopment Analysis, rendering standard inference methods invalid. Simar and Wilson (2007) suggest the use of bootstrap algorithms that allow for valid statistical inference in this context. This article extends their work by proposing a double bootstrap algorithm for obtaining confidence intervals with improved coverage probabilities. Moreover, acknowledging the computational burden associated with iterated bootstrap procedures, we provide an algorithm based on deterministic stopping rules, which is less computationally demanding. Monte Carlo evidence shows considerable improvement in the coverage probabilities after iterating the bootstrap procedure. The results also suggest that percentile confidence intervals perform better than their basic counterpart.Peer reviewe
Analisis Tingkat Efisiensi antara Bank Syariah di Indonesia dengan di Malaysia menggunakan Metode Data Envelopment Analysis (DEA)
No full textThis study aims to determine the efficiency level of Indonesian Islamic
banks and Malaysian Islamic banks which were analyzed using the Data
Envelopment Analysis (DEA) method, as well as the differences in efficiency
levels between Indonesian and Malaysian Islamic banks.
This type of research is a quantitative comparative research. The type of
data used in this research is secondary data in the form of annual report data of
Indonesian and Malaysian Islamic banking companies.
The results of this study indicate that the efficiency level of all Islamic
banking in Indonesia in the 2016-2020 period is 96.53%. The efficiency level of
all Islamic banking in Malaysia in the 2016-2020 period is 97.07%. There is a
difference in the level of efficiency between Islamic banks in Indonesia and
Islamic banks in Malaysia in the 2016-2020 period. The efficiency level of Islamic
banks in Indonesia is much lower than the efficiency level of Islamic banks in
Malaysia.94 HalamanSkripsi Sarjan
New Models for Data Envelopment Analysis. Measuring Efficiency Outwith the VRS Frontier
No full textSome models are presented in this paper which extend the concept of measuring superefficiency to the useful case of variable returns-to-scales (VRS), thus enabling the ranking of efficient as well as inefficient units. Two models, namely the Universal Radial Model and the Universal Additive Model, are presented that also have strong invariance properties (units and translation invariance). For both of these models a method for normalising the efficiency scores on a (0-1+) scale is presented. These models have been implemented in a software package and applied to the ranking of units in an industrial context.Data envelopment analysis (DEA), Superefficiency, Universal models
Measuring the relative efficiency of banks using DEA method
No full textData Envelopment Analysis (DEA) is one of the most popular methods used for measuring the relative efficiency of similar units by considering various input/output parameters. This paper implements DEA models to estimate the relative efficiency of selected banks in the United States. The proposed study uses two inputs, total assets and number of employees, and one output, net revenue for measuring the relative efficiency of selected banks. The relative efficiencies of different banks are analyzed. The preliminary results indicate that Santander Bank is the most efficient banks operating in the United States followed by SunTrust Bank and HSBC. Other banks preserve lower efficiency compared with these three banks.Peer reviewedFinal article published.Data envelopment analysis (DEA)EfficiencyBank industr
Stochastic DEA
No full textInternational audienceData Envelopment Analysis (DEA) was introduced as a linear programming model by Charnes et al. (Eur J Oper Res 2:429\textendash444, 1978) and Banker et al. (Manag Sci 30:1078\textendash1092, 1984) as a nonparametric model to estimate frontier production and technical efficiency using linear programming. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG
Basic analytical capabilities of the CCR-DEA model
No full textThe article describes some analytical applications of the basic DEA model – CCR model proposed by Charnes, Cooper and Rhodes [2]. The author presents elementary DEA profiles, terminology, ideas and some traditional ways of determining the optimal technology for inefficient objects and benchmarking and estimating the type and size of returns to scale. The evaluation of input excess and output shortage is also described. In this context, the author suggests an economic interpretation of the optimal solution of the CCR model as a task that consists of creating virtual technology of a given set of objects. The author also presents how to determine the structure of a target and optimal technology and indicates the way of using simplex reports in sensitivity analysis of the solution to the CCR model. All these reflections are illustrated by a real-life DEA problem that concerns bank efficiency.CCR-DEA, interpretation of CCR model, Optimal technology structure
Rice growing farmers efficiency measurement using a slack based interval DEA model with undesirable outputs
No full textIn recent years eco-efficiency which considers the effect of production process on environment in determining the efficiency of firms have gained traction and a lot of attention. Rice farming is one of such production processes which typically produces two types of outputs which are economic desirable as well as environmentally undesirable. In efficiency analysis, these undesirable outputs cannot be ignored and need to be included in the model to obtain the actual estimation of firm’s efficiency. There are numerous approaches that have been used in data envelopment analysis (DEA) literature to account for undesirable outputs of which directional distance function (DDF) approach is the most widely used as it allows for simultaneous increase in desirable outputs and reduction of undesirable outputs. Additionally, slack based DDF DEA approaches considers the output shortfalls and input excess in determining efficiency. In situations when data uncertainty is present, the deterministic DEA model is not suitable to be used as the effects of uncertain data will not be considered. In this case, it has been found that interval data approach is suitable to account for data uncertainty as it is much simpler to model and need less information regarding the underlying data distribution and membership function. The proposed model uses an enhanced DEA model which is based on DDF approach and incorporates slack based measure to determine efficiency in the presence of undesirable factors and data uncertainty. Interval data approach was used to estimate the values of inputs, undesirable outputs and desirable outputs. Two separate slack based interval DEA models were constructed for optimistic and pessimistic scenarios. The developed model was used to determine rice farmers efficiency from Kepala Batas, Kedah. The obtained results were later compared to the results obtained using a deterministic DDF DEA model. The study found that 15 out of 30 farmers are efficient in all cases. It is also found that the average efficiency values of all farmers for deterministic case is always lower than the optimistic scenario and higher than pessimistic scenario. The results confirm with the hypothesis since farmers who operates in optimistic scenario are in best production situation compared to pessimistic scenario in which they operate in worst production situation. The results show that the proposed model can be applied when data uncertainty is present in the production environmen
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