Bootstrapping Dea Efficiency Estimates of Indian Railways System
G. R. Kanmani1, V. Prakash2
1G. R. Kanmani, Department of Statistics, Presidency College, Chennai (Tamil Nadu), India.
2V. Prakash, Department of Statistics, Presidency College, Chennai (Tamil Nadu), India.
Manuscript received on 18 January 2020 | Revised Manuscript received on 01 February 2020 | Manuscript Published on 05 February 2020 | PP: 106-110 | Volume-8 Issue-4S5 December 2019 | Retrieval Number: D10351284S519/2019©BEIESP | DOI: 10.35940/ijrte.D1035.1284S519
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Railways and Roadways are the two means of transport over the land in India. But Railways played a vital role in integrating markets and increasing trade in terms of the economy and in terms of politics and also it forms the finances of Indian government. Based on the above facts this study mainly focuses on the performance and efficiency evaluation of Indian Railways during 2016-2017. To attain this objective 16 zones of Indian Railways were considered and we applied DEA and Bootstrapped DEA methods. In this study CCR model reveals 11 zones are efficient and BCC model indicates 14 zones are efficient. Besides, this study reveals that bootstrapping efficiency scores are comparatively less than the original CRS and VRS efficiency score.
Keywords: Bootstrapping DEA, Constant Returns to Scale (CRS), Data Envelopment Analysis (DEA), Variable Returns to Scale (VRS),
Scope of the Article: Data Visualization