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Analysis of Technical, Pure Technical and Scale Efficiencies of Pakistan Railways Using Data Envelopment Analysis and Tobit Regression Model

Author

Listed:
  • Khalid Mehmood Alam

    (Beijing Jiaotong University)

  • Li Xuemei

    (Beijing Jiaotong University)

  • Saranjam Baig

    (Sultan Qaboos University)

  • Li Yadong

    (Beijing Jiaotong University)

  • Akber Aman Shah

    (Rawalpindi Women University)

Abstract

Efficient railway transportation systems are very important for economic development of countries. Although extensive research has been conducted on railway efficiency in developed countries, however, such studies for developing economies in general and Pakistan is lacking. Here, we used data envelopment analysis (DEA) to evaluate the technical, pure technical and scale efficiencies of Pakistan railways from 1950 to 2016 and super efficiency model is employed to rank the efficient DMUs. This study uses seven internal factors and three externals factors to analyse efficiency. The empirical result indicates that there are five DMUs with an overall technical efficiency value of 1. The Pakistan railways operate at 86.8% level of overall technical efficiency i.e., inputs could be decreased by 13.2% without sacrificing output if all DMUs were efficient. Furthermore, the contribution of scale inefficiency in overall technical inefficiency has been observed to be smaller than what has been observed due to pure technical inefficiency (managerial inefficiency). The results of the Tobit regression model suggest that economic development and trade have positive effects on technical efficiency while the growth of highways affects it negatively as external factors.

Suggested Citation

  • Khalid Mehmood Alam & Li Xuemei & Saranjam Baig & Li Yadong & Akber Aman Shah, 2020. "Analysis of Technical, Pure Technical and Scale Efficiencies of Pakistan Railways Using Data Envelopment Analysis and Tobit Regression Model," Networks and Spatial Economics, Springer, vol. 20(4), pages 989-1014, December.
    • Handle: RePEc:kap:netspa:v:20:y:2020:i:4:d:10.1007_s11067-020-09510-9
    DOI: 10.1007/s11067-020-09510-9
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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    2. Ramanathan, R., 2000. "A holistic approach to compare energy efficiencies of different transport modes," Energy Policy, Elsevier, vol. 28(11), pages 743-747, September.
    3. G. S. Maddala, 1987. "Limited Dependent Variable Models Using Panel Data," Journal of Human Resources, University of Wisconsin Press, vol. 22(3), pages 307-338.
    4. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    5. Caulfield, Brian & Bailey, Diarmuid & Mullarkey, Shane, 2013. "Using data envelopment analysis as a public transport project appraisal tool," Transport Policy, Elsevier, vol. 29(C), pages 74-85.
    6. Yongqiu Zhu & Rob M. P. Goverde, 2019. "Dynamic Passenger Assignment for Major Railway Disruptions Considering Information Interventions," Networks and Spatial Economics, Springer, vol. 19(4), pages 1249-1279, December.
    7. Aziz Kutlar & Ali Kabasakal & Murat Sarikaya, 2013. "Determination of the efficiency of the world railway companies by method of DEA and comparison of their efficiency by Tobit analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3575-3602, October.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Saranjam Baig & Mir Qasim & Li Xuemei & Khalid Mehmood Alam, 2020. "Is the China-Pakistan Economic Corridor an Opportunity or a Threat for Small and Micro-Entrepreneurs? Empirical Evidence from Northern Pakistan," Sustainability, MDPI, vol. 12(5), pages 1-19, February.
    10. Barros, Carlos Pestana, 2011. "Cost efficiency of African airports using a finite mixture model," Transport Policy, Elsevier, vol. 18(6), pages 807-813, November.
    11. Olli‐Pekka Hilmola, 2007. "European railway freight transportation and adaptation to demand decline," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(3), pages 205-225, March.
    12. Freke Caset & David S. Vale & Cláudia M. Viana, 2018. "Measuring the Accessibility of Railway Stations in the Brussels Regional Express Network: a Node-Place Modeling Approach," Networks and Spatial Economics, Springer, vol. 18(3), pages 495-530, September.
    13. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    14. Pestana Barros, Carlos & Peypoch, Nicolas, 2010. "Productivity changes in Portuguese bus companies," Transport Policy, Elsevier, vol. 17(5), pages 295-302, September.
    15. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    16. Yasar A. Ozcan, 2008. "Health Care Benchmarking and Performance Evaluation," International Series in Operations Research and Management Science, Springer, number 978-0-387-75448-2, December.
    17. Freke Caset & David S. Vale & Cláudia M. Viana, 2018. "Correction to: Measuring the Accessibility of Railway Stations in the Brussels Regional Express Network: a Node-Place Modeling Approach," Networks and Spatial Economics, Springer, vol. 18(3), pages 531-531, September.
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    1. Niu, Yanliang & Li, Xin & Zhang, Jiangxue & Deng, Xiaopeng & Chang, Yuan, 2023. "Efficiency of railway transport: A comparative analysis for 16 countries," Transport Policy, Elsevier, vol. 141(C), pages 42-53.
    2. Mohammad Kamal Hossain & Md Abdus Salam & Afsana Nahid, 2022. "Measuring the technical efficiency of the listed IT companies: Evidence from Bangladesh," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(6), pages 74-85, September.

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