INTRA-TERMINAL EFFICIENCY ANALYSIS OF CONTAINER TERMINALS AT JNPA USING DATA ENVELOPMENT ANALYSIS

Authors

DOI:

https://doi.org/10.26408/139.06

Keywords:

container terminal efficiency, Data Envelopment Analysis, vessel calls, quay cranes, intra-terminal comparison, Indian ports

Abstract

The efficiency of container terminals is a key determinant of port competitiveness, yet intra-terminal comparisons within a single Indian port remain limited. This study evaluates the efficiency of five terminals within Jawaharlal Nehru Port Authority (JNPA) from 2018–2019 to 2024–2025 using Data Envelopment Analysis (DEA). Three inputs (vessel calls, terminal area, and quay cranes) and one output (container throughput, TEU) are analyzed under CCR and BCC models. The results identify APMT as the consistent efficiency frontier terminal, while BMCT rapidly converges to efficiency. NSICT and NSIGT show near-efficient performance, whereas JNPCT/NSFT remains structurally constrained. Findings highlight the importance of infrastructure, scale optimization, and terminal maturity in improving operational efficiency and benchmarking performance.

References

Ashraf Malabika Deo P, S.P., & Scholars, P. D. (2014). Measurement of efficiency of major ports in India-a data envelopment analysis approach. International Journal of Environmental Sciences, 4(5). https://doi.org/10.6088/ijes.2014040404531.

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8.

Chitral Jayawarna, S. M. Ferdous Azam, & Siti Khalidah Binti MD Yusoff (2024). Evaluating the impact of private sector participation on operational efficiency in container terminals: A case study of Colombo Port. International Journal of Religion, 5(1), 94-99. https://doi.org/10.61707/f45ryd78.

Cullinane, K., Dong-Wook Song, & Wang, T. (2005). The application of mathematical programming approaches to estimating container port production efficiency. Journal of Productivity Analysis, 24, 73-92.

Cullinane, P. K. (2012). Ad Hoc Expert Meeting on Assessing Port Performance. UNCTAD https://unctad.org/system/files/official-document/webdtltlb2013doc1_en.pdf

Danladi, C., Tuck, S., Tziogkidis, P., & Tang, L. (2024). Efficiency analysis and benchmarking of container ports operating in lower-middle-income countries: A DEA approach. Journal of Shipping and Trade, 9(1). https://doi.org/10.1186/s41072-024-00163-2.

Đelović, D. (2023). Defining terminals’ efficiency in a seaport using data envelopment analysis. Journal of Applied Engineering Science, 21(4), 1098-1107. https://doi.org/10.5937/jaes0-44322.

Iyer, K. C., & Nanyam, V. P. S. N. (2021). Technical efficiency analysis of container terminals in India. Asian Journal of Shipping and Logistics, 37(1), 61-72. https://doi.org/10.1016/j.ajsl.2020.07.002.

Jang, H. M., Park, H., & Kim, S. Y. (2016). Efficiency analysis of major container ports in Asia: Using DEA and Shannon’s Entropy. Int. J Sup. Chain. Mgt., 5(2). https://garuda.kemdiktisaintek.go.id/documents/detail/834553

JNPA Annual Reports (2018-2019 to 2024-2025). https://www.jnport.gov.in/page/annual-performance-report/L09LNDhuUkw4Yk1kUjFaNXVlNDY1dz09

Kishore, L., Pai, Y. P., Ghosh, B. K., & Pakkan, S. (2024). Maritime shipping ports performance: A systematic literature review. Discover Sustainability, 5(1). https://doi.org/10.1007/s43621-024-00299-y.

Marlow, P. B., & Casaca, A. C. P. (2003). Measuring lean ports performance. International Journal of Transport Management, 1(4), 189-202. https://doi.org/10.1016/j.ijtm.2003.12.002.

Ministry of Ports, Shipping and Waterways (2024). Strengthening India’s Maritime Sector: Port Capacity Expansion and Inland Waterway Development. https://static.pib.gov.in/WriteReadData/specificdocs/documents/2024/aug/doc202488369301.pdf

Montgomery, D. C., Peck E. A., & Vining, G. G. (2016). Introduction to linear regression analysis. Wiley

Munisamy, S., & Singh, G. (2011). Benchmarking the efficiency of Asian container ports. African Journal of Business Management, 5(4), 1397-1407. http://www.academicjournals.org/AJBM.

Mustafa, F. S., Khan, R. U., & Mustafa, T. (2021). Technical efficiency comparison of container ports in Asian and Middle East region using DEA. Asian Journal of Shipping and Logistics, 37(1), 12-19. https://doi.org/10.1016/j.ajsl.2020.04.004.

Suryakant Mantry, & Ranjit Roy Ghatak (2017). Comparing and contrasting competitiveness of major indian and select international ports. International Journal of Research in Finance and Marketing, 7(5), 1-19.

UNCTAD (1976). Port performance indicators. UNCTAD.

Wang, C. N., Quang, B. X., & Dang, T. T. (2024). Performance measurement of international shipping companies before and during COVID-19: A DEA Malmquist index and window analysis approach. Transportation Journal, 63(3), 207-221. https://doi.org/10.1002/tjo3.12012.

Wang, T. F., & Cullinane, K. (2006). The efficiency of European container terminals and implications for supply chain management. Maritime Economics and Logistics, 8(1), 82-99. https://doi.org/10.1057/palgrave.mel.9100151.

Zarbi, S., Shin, S. H., & Shin, Y. J. (2019). An Analysis by Window DEA on the Influence of International Sanction to the Efficiency of Iranian Container Ports. Asian Journal of Shipping and Logistics, 35(4), 163-171. https://doi.org/10.1016/j.ajsl.2019.12.003.

Downloads

Published

2026-09-30

How to Cite

Srikkanth E, & M Sekar. (2026). INTRA-TERMINAL EFFICIENCY ANALYSIS OF CONTAINER TERMINALS AT JNPA USING DATA ENVELOPMENT ANALYSIS. Scientific Journal of Gdynia Maritime University, (139), 82–97. https://doi.org/10.26408/139.06