DEA Window Analysis for Measuring Port Efficiencies in Serbia

Pjevčević, Danijela; Radonjić, Aleksandar; Hrle, Zlatko Š.; Čolić, Vladeta S.

doi:10.7307/ptt.v24i1.269

Cited by 33 publications

(19 citation statements)

References 14 publications

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“…The model is based on the assumption that what was viable in the past remains viable forever, and that the treatment of time in windows analysis is more in the nature of an averaging over the periods of time covered by the window[20]. An important advantage of window analysis is that its increases the number of units for evaluation and in effect the discriminatory power of the method[21]. In applying window analysis, DEA first evaluates the performance of all DMU's in the same window and the efficiency of each DMU will be entered into the right window position in the table.…”

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confidence: 99%

Assessment of Dry Port Efficiency in Africa Using Data Envelopment Analysis

Abdoulkarim¹,

Fatouma²,

Hassane³

2019

JTTs

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This work involves the evaluation of dry port competitiveness through analysis of efficiencies for selected dry ports in Africa. Five dry ports were selected and analysis carried out over a period of four years. The dry ports considered were Mojo and Kality in Ethiopia, Mombasa in Kenya, Isaka in Tanzania and Casablanca in Casablanca, Morocco. Data Envelopment Analysis (DEA) was applied for this work. Container throughputs for the various ports under consideration were used as the output variable for the data analysis model, while the number of reach stackers, the number of tractors, the number of forklifts and the size of the dry port were used as the input variables. From the results, the Mombasa dry port was found to be the most efficient with an average score of approximately 1 over the period under consideration. Casablanca was the second efficient dry port with an average score of 0.762, while Isaka was the least efficient with an average score of 0.142. This research is significant since the African countries have embraced the dry port concept, as witnessed in the huge investments in this sector, and would serve to highlight areas that need improvement for the few existing dry port facilities, most of which are undergoing expansion as well as modernization.

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confidence: 99%

Assessment of Dry Port Efficiency in Africa Using Data Envelopment Analysis

Abdoulkarim¹,

Fatouma²,

Hassane³

2019

JTTs

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“…The model is based on the assumption that what was viable in the past remains viable forever, and that the treatment of time in windows analysis is more in the nature of an averaging over the periods of time covered by the window [31]. An important advantage of window analysis is that its increases the number of units for evaluation and in effect the discriminatory power of the method [32]. In applying window analysis, DEA first evaluates the performance of all DMU's in the same window and the efficiency of each DMU will be entered into the right window position in the table.…”

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confidence: 99%

Assessment of Port Efficiency in West Africa Using Data Envelopment Analysis

Dyck¹

2015

AJIBM

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The aim of this paper is to apply the DEA method in assessing efficiencies of major ports in West Africa. Six ports were selected based on their container throughput levels, and the DEA model was used to determine their relative efficiencies and their efficiencies over time through window analysis. The DEA model was applied to a number of inputs of port production and a single output (container throughput). It was determined that the Port of Tema in Ghana was the most efficient West African port under study. Although Tema exhibited some inefficiency in its operations, the port was found to make good use of its resources for production. On the other extreme, the Port of Cotonou in Benin was found to be the least efficient port obtaining the lowest average efficiency rating over a seven year period. It was determined that the port exhibited a substantial waste in production. Generally, ports in West Africa could be said to exhibit high levels of efficiency considering that four out of six ports had an average efficiency score of 76% or higher for the period under study.

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“…According to the empirical analysis, it was found that Japan is the most efficient country at the average efficiency level. Pjevčević et al (2012) measured the activities of the 5 harbors on the Danube River in Serbia. For this purpose, the 2001-2008 period dataset was analyzed.…”

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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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DEA Window Analysis for Measuring Port Efficiencies in Serbia

Abstract: The aim of the paper is to apply Data Envelopment Analysis (DEA)

Cited by 33 publications

References 14 publications

Assessment of Dry Port Efficiency in Africa Using Data Envelopment Analysis

Assessment of Dry Port Efficiency in Africa Using Data Envelopment Analysis

Assessment of Port Efficiency in West Africa Using Data Envelopment Analysis

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

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