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This paper analyzes the efficiency and efficiency changes of 57 Turkish natural gas distribution firms in the period 2016-2021 with input-oriented Data Envelopment Analysis (DEA) and Malmquist Total Factor Efficiency (TFP) Index, respectively. The efficiencies of the distribution firms are analyzed using both the aggregated data of all years and the six‐year multiperiod analysis. According to the results of the aggregated model, the technical efficiency, pure technical efficiency, and scale efficiency of the firms on average are 77.4%, 81.2%, and 95.4%, respectively. 32 (14) scale-inefficient firms have increasing (decreasing) returns to scale. Only three of the 10 firms that are technically efficient in the aggregated model are found to be fully efficient in all periods. Natural gas distribution firms are classified as small firms and large firms according to their gas delivery amounts, and the scale efficiency of these firms and the changes in the number of large and small firms with increasing or decreasing returns to scale are examined on a yearly basis. Over the period 2016-2021, total factor productivity decreased by an average 1.8% annually, as a result of an annual average decrease of 1% in technical efficiency and an annual average decrease of 0.8% in technological change. The reduction in technical efficiency is due to 0.6% decrease in pure technical efficiency and 0.4% decrease in scale efficiency. [ABSTRACT FROM AUTHOR]

Nowadays, the activities of companies started to become more complex and diverse as a result of technological developments and increasing human population. This situation requires the efficient use of companies’ resources. It is important for airline companies to carry out their activities effectively with the help of infrastructural improvements and state subsidies for air transportation in our country. This is particularly important both for sectoral and academic development. The data envelopment analysis (DEA), which is the method of this study, is a multi-criteria decision-making method that measures efficiency by evaluating the data set handled by using common inputs and outputs for enterprises or periods covered. This study was conducted in order to measure the efficiency of activities of the airline companies. In addition, this was done in order to measure the shortcomings of the literature and the efficiency of the airline companies. Within the scope of this study, the activity effectiveness of the two companies which are Turkish Airlines and Pegasus Airlines, operating in our country between 2012 to 2015 was measured by using VZA. As a result of the analysis, information about the activity efficiency of the companies in the relevant years is provided by evaluating the obtained results. [ABSTRACT FROM AUTHOR]

In this study, efficiency level of affiliated enterprises to the General Directorate of Post and Telegraph Organization (PTT), a public institution, in 76 cities is analyzed for the period 2006-2010. Total Factor Productivity (TFP) and change in the composition of TFP in each city were examined using the Malmquist-TFP index method for a given period. The obtained results correspond that an increase of 46.6% in total productivity is revealed in the related period and this increase is largely due to the increase in technological change. [ABSTRACT FROM AUTHOR]

In this study, the efficiency of tea processing factories of General Directorate of Tea Enterprises (Çaykur), which is a Public Economic Enterprise, is investigated using data envelopment analysis (DEA) and data set for the period of 2005-2010. First, efficiency analyses are subjected to the every individual year separately. Then using data set in constant prices, factories' efficiency levels of 2005 and 2010 are compared. Findings show that after 2008, efficiency problems are increased in a numbers of factories and efficiency scores decreased in inefficient factories. Homogeneity with respect to productivity is declined in the same period among the factories. Conclusions of the DEA related to comparison of 2005 and 2010 years prove that productivity problems arise in much more factories and effectiveness scores of those factories worsened. These results indicate that productivity levels of Çaykur tied factories are declined in 2010 compared with 2005 [ABSTRACT FROM AUTHOR]

The fundamental economic goals of the business enterprises, except with social objective ones,, is making profit from their activities, developing, providing continuity and to increase market value. Business enterprises need some performance measurement systems for adapting themselves to increasing competition and changing environmental conditions, taking right results with the right data by making accurate strategies and deciding the stage of the targets which is constructed according to their goals in the application. Because of the changes in the fields of information systems, technology, production management and management systems, necessities for checking over the performance criteria for the business enterprises occurred nowadays. Financial performance measurement systems which were used mostly before become insufficient for specifying the performance criteria for today. In this study, the performance of the cement sector listed in İstanbul Stock Exchange (IMKB) is evaluated in terms of effectiveness and efficiency by the Data Envelopment Analysis (DEA) method. [ABSTRACT FROM AUTHOR]

Today globalization, technological developments and mass competition forced businesses use their resources efficiently, evaluate relatively performance with their competitor and determine businesses for benchmarking. In this study, it is tried to examine whether 24 businesses which traded in Istanbul Stock Exchange in food and drink sector are efficient. For this aim, businesses efficiency is measured by Data Envelopment Analysis (DEA). Also, similar businesses are clustered by cluster analysis and business efficiencies are ranged by TOPSIS analysis and methods are compared. According to the result of DEA, 14 businesses in 2007 and 11 businesses in 2008 are found to be efficient. As a result of the study, it is observed that the methods we used produced contradictory results. Although some businesses found to be efficient in DEA method, these businesses could not show a good performance in TOPSIS analysis. Also, some efficient businesses are in different clusters in Cluster Analysis. [ABSTRACT FROM AUTHOR]

This study has been performed to find out the efficiency of cottage hospitales in the city center of Konya. Data has been obtained from Konya Health Diractorate Province of statistics 2007. Efficency evaluation has been done by means of Data Envelopement Analaysis (DEA). Input variables of DEA models are the numbers of general practitioner, nurses and midwifery, as for that, output variables of DEA models are the numbers of vaccination-injection, consulitation and midwifery home visites. At the end of this research, the average efficiency level of cottage hospitals is measured 83.77 %. [ABSTRACT FROM AUTHOR]

The purpose of the study is to compare performance efficiency of businesses listed in the sector of Fabricated Metal Products, Machinery and Equipment on Istanbul Stock Exchange (ISE) by using Data Envelopment Analysis. Data Envelopment Analysis is a method that is used to determine to effective and ineffective units, performing in same subject and using similar inputs and outputs. As a result of the analysis, it is found that 5 businesses are efficient in 4 periods of 2008. In addition to that, the potential recovery rates are calculated for the inefficient manufacturing businesses and made some recommendations how they might perform better. [ABSTRACT FROM AUTHOR]

In this study, the efficiency of Turkish automotive firms in top-500 according to ISO is examined by taking care of the differences in their capital structure. Firms are divided into 4 groups in terms of capital structure. These are public, domestic, foreign, and mixed capital firms. Mixed capital firms also are divided into 2 sub-groups as domestic-weighted owned capital and foreign-weighted owned capital firms. Data Enveleopment Analysis technique (DEA), non-parametric mathematical programming model, is used to compare firm's efficiencies in the study. Input variables of the model are net assets, equity capital, and the number of employee, and output variables are endorsement, profit, and exports. As a result of the study, it is found that only 6 firms work more efficient than the others. In efficient firms, three of them domesticly owned capital firms, two of them foreign owned capital firms and one of them mixed capital firms. Public capital firms are not efficient. [ABSTRACT FROM AUTHOR]

The aim of this study is to measure and evaluate the efficiencies of ship building and maintenance shops performing under one of the Turkish Navy Shipyards. As a result of 6-months-period comparative shop performance evaluations, the study puts forward (1) the comparative efficiency ratings of each job shop, (2) the level of required modifications to the particular input and output values for making inefficient shops more efficient, and (3) the factors that could affect the efficiency scores. Based on the results obtained from the correlation and regression analyses, it is observed that the most important factors influencing the efficiency of job shops are the quantities of lost workforce and unidentified jobs. [ABSTRACT FROM AUTHOR]