[PDF] Top 20 An application of data envelopment analysis on marble factories

... After the s the production of marble in Turkey has increased in a major way. Par- ticularly during the recent past, large companies have invested in integrated facilities, and with their inception there has ... See full document

... The data used in this study covers the period from 2002:1 to ...applied Data Envelopment Analysis (DEA), which is a non-parametric linear programming-based technique for measuring relative ... See full document

... the application of 'Data Envelopment Analysis' (DEA) the efficiency level was determined for 13 mechanisation working units in the ...DEA application, as well as some limitations of ... See full document

... Additionally, Alvarez & Lopez (2005) analyzed the three dimensions of exporting activities of Chile by using panel data. They support first dimension of self-selection hypothesis for exports and found that ... See full document

... total equity, total deposits, the number of the personnel in the banks and the number of branches. On the other hand, net profit, interest income and non-interest income are the outputs. Furthermore, we tested the annual ... See full document

... Two methods are used to measure bank efficiencies: parametric and non-parametric. By parametric method, many studies apply stochastic frontier approach (SFA) such as (Baten and Kamil, 2010; Tahir and Haron, 2010). ... See full document

... profit concerned with; such as interest income and non-interest revenue. Despite the literatures on bank efficacy not only developed nations but also in change and developing countries have prolonged rapidly, but there ... See full document

... window analysis approach to evaluate banks, which uses time-series ...the analysis from the intermediation ...window analysis they examine the banks from two banking models, ... See full document

... The inputs and outputs variables of the research will then be chosen regarding their important to the banking activities. Hence, outputs will then include total asset (A), interest and similar income (Ri), and other ... See full document

... explore analysis with bigger sample ...of data-keeping sys- tems in Zambia the study was unable to obtain data that would have been helpful in defining quality-adjusted out- ...output data ... See full document

... An assessment of the technical efficiency of 20 “Center de Sante’et d Promotion Social” (CSPS) in the Nouna health district in Kossi province in Burkina Faso was conducted by Marschall and Flessa (2009a) using the DEA ... See full document

... Data Envelopment analysis (DEA) may be a strategy able of assessing the productivity of decision making units (DMUs) in utilizing numerous inputs to deliver numerous yields; thus, it is broadly ... See full document

... Abstract: Data envelopment analysis (DEA) is a method for identifying the efficient frontier of decision making units (DMUs) which has multiple outputs and multiple ... See full document

... window data envelopment analysis approach was utilized by researchers to increase the number of decision-making units so that the discriminating power can be ...window analysis in order to ... See full document

... viewing angle, fixed slope, indicating that the viewing angle do not change and the negative slope of diagram indicates that the viewing angle is bad at the station under study. As you can see, the Nurabad station has a ... See full document

... using Data Envelopment analysis methodology under both the input oriented and output oriented constant return to scale (CRS) and variable return to scale (VRS) ... See full document

... uses data for the years 2004-2014 complied from Financial Statement of rural community banks complied by the Bank of Ghana and the Apex ...Our analysis of 135 rural banks uses a modification of the ... See full document

... its application to empirical studies. Data normalization for data envelopment analysis is a universal solution for the problem of unit-invariance, and the efficiency keeps unchanged in ... See full document

... The units under evaluation are divided into efficient and inefficient units by using DEA models. Fundamental DEA models such as CCR, BCC,...etc give score one to efficient units. When the number of efficient units be ... See full document

... FADN data set, to avoid the non-homogeneity in terms of environmental factors (such as geography, soil quality, weather or socio-economic differences) and to compare farms with the farms under similar conditions, ... See full document