Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012

Kutlar, Aziz; Kabasakal, Ali; Babacan, Adem

doi:10.17233/se.09289

Cited by 11 publications

(9 citation statements)

References 1 publication

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“…Increasing the number of DMUs increases the discriminatory power of the method, which is one of the main advantages of this approach in situations where the number of DMUs is small (Halkos and Tzeremes, 2009). According to Kutlar et al (2015), in this analysis, a smaller window size can lead to a smaller number of DMUs, which in combination with a large number of variables reduces the discriminatory power of analysis. But on the other hand, the larger the size of the window, it can cause erroneous results, because important changes that happen at a certain point can be ignored because of the oversized window.…”

Section: Methodsmentioning

confidence: 99%

Effects of cross-border acquisitions on efficiency and productivity of acquired companies: evidence from cement industry

Savović

Mimović

2020

IJPPM

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PurposeThe purpose of this paper is to explore the effects of cross-border acquisitions on the efficiency and productivity of acquired companies in the cement industry in the context of a transitional economy.Design/methodology/approachThe Data Envelopment Analysis (DEA) and Malmquist Productivity Index were used to assess the efficiency and productivity of the acquired companies over the period 2000–2018. DEA and Malmquist index are combined with bootstrapping to perform succinct statistical inferences for determining the accuracy of results. The study assesses partial efficiency and productivity of three inputs: material, capital and labour, as well as the total factor efficiency and productivity of the acquired companies in the short and long term after the acquisitions.FindingsThe research results suggest that efficiency of material, efficiency of labour and the total factor efficiency of the acquired companies are higher after the acquisitions than before, while efficiency of capital is lower. In addition, the results show that the acquisitions had a positive impact on total factor productivity of the acquired companies.Practical implicationsThe results of this study have practical implications for managers, especially for policy-makers and industry analysts in deciding whether to encourage or discourage cross-border acquisitions in transitional economies.Originality/valueThe study contributes to a better understanding of the impact of cross-border acquisitions on efficiency and productivity of acquired companies in the manufacturing industry. Research in transitional economies related to subject matter is limited, and this study is the first empirical investigation of the effect of cross-border acquisitions on the efficiency and productivity in the cement industry in Serbia by applying the Data Envelopment Analysis.

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Section: Methodsmentioning

confidence: 99%

Effects of cross-border acquisitions on efficiency and productivity of acquired companies: evidence from cement industry

Savović

Mimović

2020

IJPPM

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“…This analysis assumes that DMUs are a different unit in each period [17]. Substituting the above inputs and outputs of into relevant models will generate the results of DEA window analysis.…”

Section: Dea Window Analysismentioning

confidence: 99%

Comparison of Healthcare System Performances in Oecd Countries

Yüksel

2021

International Journal of Health Services Research and Policy

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Health spending is increasing every day around the world. Because of this, efficient use of resources (human, technology, material, etc.) becomes more important. This study aimed to compare the health efficiencies of the Organization for Economic Co-operation and Development (OECD) countries. In order to consider the trend of efficiency of the countries in the observed period (2014)(2015)(2016)(2017)(2018), window analysis is chosen as the most appropriate input-oriented Data Envelopment Analysis (DEA) technique. The DEA window method was chosen since it leads to increased discrimination on findings and enables year-by-year comparisons. Input and output variables used in the study were determined by examining other studies in the literature. In this respect, the input variables were identified as the number of physicians per thousand people, the number of nurses per thousand people, the number of hospital beds per thousand people, health spendings (% of GDP); and output variables were expected life expectancy at birth, and rate of surviving infants. According to the results of the DEA window analysis, only Mexico was found to be efficient. Other countries with an efficiency score of more than 90% are Turkey (0.999), Japan (0.991), Korea (0.974), Luxembourg (0.937). On the other hand; Austria (0.591), Switzerland (0.545), and Germany (0.511) were the last countries in the efficiency score ranking. In these countries, which produce high health output, their inputs are also high, so they are at the end of the ranking of efficiency scores.

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“…In the study, it was determined that 4 of the 6 ports using the 2006-2012 period data maintained an average efficiency score of 76% or higher. Kutlar et al (2015a) aimed to determine the efficiencies of 31 railway companies throughout the world through DEA-window analysis. For this purpose, the 2000-2009 period data set was analyzed.…”

Section: Almentioning

confidence: 99%

Determination of the Efficiencies of Textile Firms Listed in Borsa İstanbul by Using DEA-Window Analysis

2019

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Global competition enables countries' advantageous sectors to stand out as an indicator of their economic power. The importance of these sectors may vary by country or the time period they operate in. The textile industry is one of the sectors that significantly contributes to Turkey's economic growth. Thus, it is important to monitor the financial activities of the firms in the textile sector as a performance indicator since it is evident that the financial efficiency of each company will contribute positively to the overall efficiency of the whole sector. In this study, the financial activities of 19 firms in the textile sector being traded on Borsa Istanbul (BIST) for the period 2008-2017 are examined. For efficiency analysis, DEA (Data Envelopment Analysis) -Window Analysis method was applied by using financial indicators of these companies. It was observed that the highest average efficiency value of the companies was realized in 2017 with 94.09%. The average activity levels in other years were found to be in the range of 60%-90%. In the empirical analysis, the efficiency values of the top five companies were determined to be at the level of 90%-100%. DESA has achieved the most successful performance in average efficiencies with a score of 98.04 when the whole period is considered. SÖNMEZ and MENDERES firms have taken the second and the third places with scores of 97.40 and 94.74, respectively. The close performances of the top three firms were also observed in three-years windows. However, in the three-year window analysis, SÖNMEZ ranked the first, DESA ranked the second and MENDERES ranked the third according to their average scores. One of the reasons for this small difference between the rankings is that, firstly, the firms' performances have been very close to each other, and secondly the effect of the low score (76.11) obtained by SÖNMEZ in 2008 has been diminished for the firm in the three-year window analysis. KARSU occupied the last place with the lowest average efficiency score in both rankings.

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Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012

Cited by 11 publications

References 1 publication

Effects of cross-border acquisitions on efficiency and productivity of acquired companies: evidence from cement industry

Effects of cross-border acquisitions on efficiency and productivity of acquired companies: evidence from cement industry

Comparison of Healthcare System Performances in Oecd Countries

Determination of the Efficiencies of Textile Firms Listed in Borsa İstanbul by Using DEA-Window Analysis

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