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Brockett, Patrick L.; Golany, Boaz; Li, Shan

doi:10.1023/a:1007788117626

Cited by 16 publications

(3 citation statements)

References 22 publications

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“…This is an illustration of performance trends which can 'develop slowly and sometimes unevenly across different units', as indicated by Brockett, Golany, and Li (1999). In order to detect and monitor these and other trends, the combination of the DEA methodology (providing a single measure of efficiency of the complex production process in the signal boxes) with the ease of use of a Business Intelligence tool (allowing for tailored management reporting as well as an in-depth analysis by experts), can be of considerable value to decision-makers.…”

Section: Figure 1 Histogram Of Observed Efficiency Differences Betwee...mentioning

confidence: 98%

Evaluation of railway traffic control efficiency and its determinants

Roets

Christiaens

2015

European Journal of Transport and Infrastructure Research

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The present paper fills a gap in the literature by examining the efficiency of railway traffic control. In spite of large-scale migration strategies towards centralised signal boxes (traffic control centres), railway traffic control still remains a labour-intensive process in many European countries. In close collaboration with experts from Infrabel, the Belgian railway infrastructure manager, we develop a two-stage benchmarking framework which assesses and explains railway traffic control efficiency. In the first stage, a bootstrapped Data Envelopment Analysis model with categorical variable assesses efficiency, and closely monitors average and individual performance trends over time. Second-stage regressions examine the impact of several factors on efficiency. The proposed framework can be adopted by infrastructure managers as an internal benchmarking tool, evaluating the entire network or specific sub-regions. We demonstrate the practical applicability of our approach with a unique and rich 18-month dataset of Infrabel’s relay-technology signal boxes. Aiming to uncover additional insights, we perform our analysis on two subsets of the monthly data: one covering the working week, the other the weekends. Our findings suggest that in order to improve on traffic control efficiency, railway infrastructure managers should aim for geographical concentration, larger team sizes, and a continuous follow-up of signal box opening times. Further efficiency gains can be generated by reducing infrastructure complexity. Finally, our results also indicate that railway infrastructure managers should take into account the differences between working week and weekend when measuring and analysing traffic control performance.

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Section: Figure 1 Histogram Of Observed Efficiency Differences Betwee...mentioning

confidence: 98%

Evaluation of railway traffic control efficiency and its determinants

Roets

Christiaens

2015

European Journal of Transport and Infrastructure Research

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“…Therefore, the DEA Window Analysis could denote the stability of efficiency of each DMU (Flokou et al, 2017). The stability score of efficiency consists of Long-Distance per Window (LDW), Long Distance per Year (LDY), and Long Distance per all Period (LDP) (Coelli, 1996;Brockett, Golany, & Li, 1999;Alayya & Nugraha Rani, 2019). LDW measures the biggest difference in efficiency scores in one window.…”

Section: Literature Reviewmentioning

confidence: 99%

Intertemporal Efficiency and Productivity Changing on Telecommunication Industry (Ti) in Asean-5

Sari

Sulistyaningsih

2021

JDE

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The study aims to measure the technical and intertemporal efficiency and find the primary source of productivity change on top three telecommunication firms in each country of ASEAN-5 (Indonesia, Malaysia, Thailand, Philippines, and Singapore) from 2010 to 2016. Data Envelopment Analysis (DEA) bootstrapping with 2000 iterations, DEA window, and Malmquist index are applied to calculate technical efficiency, intertemporal efficiency, and productivity change. The estimation results elucidate that, on average, the technical efficiency of firms is relatively low. On the opposite, the intertemporal efficiency results indicate that the mean efficiency score of each window is high. However, the LDW and LDP tend to be high, showing that the efficiency scores fluctuate. The Malmquist index calculation yields that technological progress possesses a significant contribution to productivity change.Keywords: Technical Efficiency, Intertemporal Efficiency, Productivity Change, Telecommunication Industry, ASEAN-5 JEL Classifications: L8, F6, O5, O1, O3

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“…The literature on socio-economic performance across OECD countries, using DEA, can be divided into three groups based on the indicators used. Studies from the first group focus on economic indicators (Färe et al, 1994;Moesen & Cherchye, 1998;Brockett et al, 1999;Maudos et al, 1999;Arcelus & Arocena, 2000;Cherchye, 2001;Emrouznejad, 2003;Afonso & St. Aubyn, 2013). In most cases, these indicators are GDP, capital stock, and employment.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring sources of economic growth in OECD countries

Škare

Rabar

2017

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Growing socioeconomic inequalities and deepening polarization among and within nations indicate a major risk of political, social and economic instability. Policymakers need to deepen their awareness and understanding of the circumstances and find useful guidance and examples to inspire their effective qualitative and quantitative policies. This paper empirically investigates the relative dynamic socioeconomic efficiency of thirty OECD countries using Data Envelopment Analysis (DEA) methodology. As an extension to the basic output-oriented DEA models with variable returns-to-scale, window analysis is employed. The appropriate design of window length is also proposed in the study. In the first step, the relative efficiency of the countries was measured by four economic indicators. In the second step, four new indicators were added, covering social, institutional and environmental dimensions. It has been found that, in some cases, performance rankings change very significantly and that the overall relative performance of the OECD countries increases when the set of economic indicators is extended.

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Cited by 16 publications

References 22 publications

Evaluation of railway traffic control efficiency and its determinants

Evaluation of railway traffic control efficiency and its determinants

Intertemporal Efficiency and Productivity Changing on Telecommunication Industry (Ti) in Asean-5

Measuring sources of economic growth in OECD countries

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