Efficiency and Effectiveness of State Transport Undertakings in India: A DEA Approach

Singh, Sanjay Kumar; Jha, Amit Prakash

doi:10.4236/tel.2017.76111

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…The researchers have contributed their efforts in transport, sustainability and interconnections (Aven, 2020;Buddenhagen, 1999;Grant, 2010;Ozili, 2022;Szymańska, 2021). Further, scholars have researched various issues in the field of public transportation, connecting sustainability with the energy and transport sector (Abhyankar et al, 2017;Agarwal et al, 2010;Chakrabartty & Gupta, 2015;Kharola & Tiwari, 2008;Ramanathan & Parikh, 1999;Singh, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Development and Public Transport in Haryana

Singh Hooda,

Sehrawat

2023

SACI

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This study examined the efficiency of public transport in Haryana from 2015-16 to 2020-21 in cognisance of the sustainable development aspect. The depots of the state roadways are considered as decision-making units. The study employed the Data Envelopment Analysis (DEA) technique for estimating the scores of the overall technical efficiency (OTE) and pure technical efficiency (PTE) of decision-making units (DMUs) by using three inputs— fleet size, total staff and bus utilisation. The study considered the total daily passengers transported and effective kilometres covered for the output. Further, along with the efficiency measurement, each depot’s total number of accidents has been collected to measure safety. The findings estimated the mean value of the PTE score for all depots, which turns out to be 0.91, indicating that to improve the managerial efficiency of the entire public transport of the state, the depots need to increase the output by 9 per cent. The average OTE score of all selected units is 0.89, reflecting that these DMUs have 89 per cent worked efficiently from 2015-16 to 2020-21. The efficiency score is based on output-oriented issues, meaning that inputs will be constant for total efficiency. The study recommends the promotion of public transport based on sustainability and efficiency in the State of Haryana.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainable Development and Public Transport in Haryana

Singh Hooda,

Sehrawat

2023

SACI

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“…Results show that both Efficiency and effectiveness are affected by population size, history, and conventions. Singh and Jha (2017) examined the Efficiency and effectiveness of 15 important State transport undertakings (STU) based in India from 2003-04 to 2013-14. The evaluation was conducted using the DEA method.…”

Section: Literaturementioning

confidence: 99%

Benchmarking Performance using Data Envelopment Analysis: A Case of the Banking Sector of Pakistan

Khan¹,

Khan

Ahmad

2022

GIRR

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Customers' needs drive the competitive nature of today's business environment. To achieve desired outcomes, resources must be transformed effectively and efficiently. Performance evaluation is one of the most important benchmarking tools for modern businesses due to sophisticated technologies, computerized processes, communication, and fierce competition. The study analyzed the performance of 26 commercial banks from 2008 to 2016. Efficiency and effectiveness were calculated using data envelopment analysis(DEA). The results showed that the sub-optimal performance of banks was caused mainly by ineffectiveness compared to Efficiency. Banks were further categorized into four groups based on their average efficiency and effectiveness scores into Ace, Underdogs, Lucky, and Unlucky. This matrix suggests that banks in the Lucky quadrant should improve Efficiency, those in the Unluck group should diversify, and those in the Underdogs quadrant should merge. Banks in the Lucky, Unlucky, and Underdog quadrants should emulate the Ace quadrant's success.

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Comprehensive evaluation of passenger road transportation through dynamic network data envelopment analysis: A case study of state road transport undertakings in India

Tiwari

Singh

2023

Manage Decis Econ

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State road transport undertakings (STUs) in India are public utility services that link diverse terrains and remote and hilly areas throughout the country and play a vital role in enhancing public mobility. These organizations are motivated to work through a sense of social responsibility. For example, they operate in low‐revenue‐generating regions to serve the public. Therefore, they require regular performance monitoring and constant efforts toward course corrections. Existing literature on the performance evaluation of STUs ignores the internal structures of the passenger transportation process and treats the process as a “black‐box.” Consequently, it fails to identify the precise cause of inefficiencies, making course corrections in a multistage transportation process difficult. To close this research gap and comprehensively evaluate the performance of STUs, considering their internal structure and based on long‐term optimization, this study employs a slacks‐based dynamic network data envelopment analysis (DNDEA) approach to deconstruct India's publicly owned passenger road transportation process into operations and revenue divisions, subjected to a multiperiod performance evaluation from 2014–2015 to 2017–2018. Moreover, we utilize panel data regression to explore other influential factors not included in the DNDEA, explaining the efficiency variation across STUs. This study is the first to explore the internal structure of STUs in India and perform a comprehensive evaluation of STUs, considering their internal divisions and multiple‐period long‐term optimization. The DNDEA results highlight evidence of capital misallocation in India's public road transport sector. While operational inefficiency can be attributed to improper utilization of resources, price regulation is the major source of inefficiency in the revenue division. Fixed effects panel data regression revealed that STUs with higher bus utilization and passenger lead are more efficient. The contribution of this study lies in its innovative approach of using DNDEA to analyze India's passenger road transportation sector and its inner constructs, providing insights into the efficiency scores of STUs and their dynamic changes in one model. Managers and policymakers can use the findings of this study to revise and frame policies targeted at improving STU efficiency.

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Efficiency and Effectiveness of State Transport Undertakings in India: A DEA Approach

Cited by 7 publications

References 27 publications

Sustainable Development and Public Transport in Haryana

Sustainable Development and Public Transport in Haryana

Benchmarking Performance using Data Envelopment Analysis: A Case of the Banking Sector of Pakistan

Comprehensive evaluation of passenger road transportation through dynamic network data envelopment analysis: A case study of state road transport undertakings in India

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