Economic Evaluation of Safety Input-Output Efficiency of Arctic Ship Operators Based on the DEA Model

Ship operations in the Arctic region require shipowners to increase specific safety investments due to the area's unique characteristics, such as extreme climate, remoteness, and fragile environment. From an economic perspective, shipowners must provide enhanced safety capacities through higher safety budgets while maintaining the profitability of ship operations. Therefore, economic assessments are necessary for decision-makers to determine whether safety investments are effectively allocated and to verify their adequacy. In this context, assessing safety input-output efficiency can help managers measure the efficiency of safety investments in terms of economic benefits and optimize resource allocation. This study uses Data Envelopment Analysis (DEA) to measure efficiencies over a selected period, using safety investments as inputs and economic benefits as outputs in the DEA models. The results of the empirical analysis of an Arctic ship operator indicate that safety investments were not effectively utilized in some years and show projected output targets for improvement. Additionally, recommendations for safety improvements are provided based on the DEA results and accident data. The approach in this study offers a practical tool for decision-makers to invest in Arctic shipping safety.

Authors

Institutions

Publication Details

Journal
Transactions on Maritime Science
Published
2025-10-21
DOI
https://doi.org/10.7225/toms.v14.n03.019
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic Evaluation of Safety Input-Output Efficiency of Arctic Ship Operators Based on the DEA Model

Raphaël Baumler, Junjie Wan
Transactions on Maritime Science
Maritime Navigation and Safety
article

Economic Evaluation of Safety Input-Output Efficiency of Arctic Ship Operators Based on the DEA Model

Raphaël Baumler, Junjie Wan
article en

Abstract

Ship operations in the Arctic region require shipowners to increase specific safety investments due to the area's unique characteristics, such as extreme climate, remoteness, and fragile environment. From an economic perspective, shipowners must provide enhanced safety capacities through higher safety budgets while maintaining the profitability of ship operations. Therefore, economic assessments are necessary for decision-makers to determine whether safety investments are effectively allocated and to verify their adequacy. In this context, assessing safety input-output efficiency can help managers measure the efficiency of safety investments in terms of economic benefits and optimize resource allocation. This study uses Data Envelopment Analysis (DEA) to measure efficiencies over a selected period, using safety investments as inputs and economic benefits as outputs in the DEA models. The results of the empirical analysis of an Arctic ship operator indicate that safety investments were not effectively utilized in some years and show projected output targets for improvement. Additionally, recommendations for safety improvements are provided based on the DEA results and accident data. The approach in this study offers a practical tool for decision-makers to invest in Arctic shipping safety.

Transactions on Maritime ScienceVol. 14(3)
World Maritime University (SE)
Openalex Percentile: Top 54%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Economic Evaluation of Safety Input-Output Efficiency of Arctic Ship Operators Based on the DEA Model — Raphaël Baumler, Junjie Wan · Transactions on Maritime Science (2025) | TGRS Research Map | TGRS