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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. 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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