1. Introduction
Globally, there are approximately 304 million international migrants, of whom 169 million participate in the labor market, accounting for 4.9% of the world’s workforce [
1]. Foreign (migrant) workers play a critical role in construction and manufacturing, as well as in primary industries such as agriculture and fisheries. However, multiple international reports have consistently highlighted their vulnerability to occupational accidents due to language and cultural barriers, limited safety training, and employment insecurity [
2]. These issues are not confined to individual countries but represent shared challenges for global industrial and social sustainability [
3].
Korea is no exception. As of 2024, the number of foreign residents in Korea stood at approximately 2.65 million, representing 5.2% of the total population, with around 567,000 holding employment qualifications, a figure that continues to increase annually [
4]. Population aging and the reluctance of younger generations to enter primary industries have positioned foreign workers not as auxiliary labor but as a central workforce sustaining and enabling industry growth.
This trend is particularly evident in aquaculture. Global fish production reached a record high of 223.2 million tons in 2022, with aquaculture contributing 130.9 million tons (51%), surpassing capture fisheries for the first time [
5]. In major aquaculture-producing countries such as Japan, Norway, and Chile, reports continue to highlight serious accidents involving foreign workers, often linked to limited experience, language barriers, and exposure to hazardous environments [
6,
7,
8,
9,
10]. The most frequently cited risks in marine operations include falls from height, slips and falls, entanglement, struck-by incidents, and exposure to harmful environments [
11]. A safety management report from Norway emphasized that mechanical hazards and work severity are central factors driving accidents, while accident patterns and severity vary depending on the maturity of the safety management system [
12]. Recent reviews in occupational health and medicine have defined aquaculture as a multi-hazard occupation, stressing that basic control measures such as the use of personal protective equipment (PPE), repeated safety training, and the installation of equipment guards and emergency stop devices are directly linked to accident reduction [
13]. Furthermore, structural factors like limited access to safety training due to language and cultural barriers and employment insecurity heighten the vulnerability of migrant workers in global fisheries and aquaculture supply chains [
14,
15].
Similarly, a recent global review by the Lloyd’s Register Foundation [
3] confirmed that mechanical entanglement and fall-related accidents remain the leading causes of injury and fatality in aquaculture, emphasizing that physical safeguards, emergency stop systems, and multilingual training are among the most effective preventive measures.
The aforementioned international evidence suggests that entanglement accidents among foreign workers and slip-and-fall or fall-from-height incidents among Korean workers are not solely attributable to individual factors. Instead, they reflect complex, interrelated issues spanning organizational aspects (training and procedures), equipment factors (guards and maintenance), and human elements (skills and behavior). In recent years, the international research community has also emphasized the importance of linking these safety factors with cost-based risk evaluation to improve management decision-making [
16,
17]. The Formal Safety Assessment (FSA) framework developed by the IMO provides a systematic approach to identifying and evaluating risks, formulating risk control options (RCOs), and performing cost–benefit analyses to support policy recommendations [
18]. Huang et al. [
19] further demonstrated that FTA-based frameworks remain a reliable method for diagnosing accident causes in marine operations, complementing other quantitative tools such as ETA and Bayesian networks. Its application has increasingly been explored in recent cost–benefit-based safety management studies within the maritime and fisheries sectors [
11].
Despite the rapid growth of aquaculture production in Korea and the increasing reliance on foreign workers, systematic safety analyses of major accident types, such as slips and falls, entanglement, and struck-by incidents, remain limited within the Industrial Accident Compensation Insurance dataset [
9]. Moreover, few studies have incorporated cost-based analyses to quantify the economic impact of accidents, even though such an evaluation is vital to prioritize preventive strategies effectively. Identifying the safety vulnerabilities of foreign workers and establishing tailored prevention strategies based on objective accident data are essential not only for enhancing industrial sustainability and workplace safety but also for reinforcing the resilience of global food supply chains.
This study combines two datasets—industrial accident insurance claims (268 Korean and 57 foreign workers) and field survey responses (193 Korean and 166 foreign workers)—to compare and analyze accident characteristics and safety perceptions by nationality in Korean aquaculture. By applying the IMO’s FSA framework together with FTA, this study develops a cost-based RCOs prioritization model linking accident data and economic evaluation. The findings are expected to contribute to sustainable safety management and international policy development in multicultural maritime and aquaculture industries.
2. Materials and Methods
2.1. Research Data
This study utilized approved Industrial Accident Compensation Insurance records (2018–2022) and field survey data on aquaculture workers in Korea. The insurance data involved the analysis of a total of 325 cases, comprising data on 268 Korean and 57 foreign workers. Key variables included nationality, accident type (entanglement, slip and fall, fall from height, struck by object, and others), and approved compensation amounts. The “others” category included accidents that occurred infrequently or were difficult to classify, such as drowning and vessel capsizing, exposure or contact with hazardous substances, repetitive-motion–related injuries, and contact with abnormal temperatures (e.g., heat or cold). Because all aquaculture workers in Korea are legally required to be covered by the Industrial Accident Compensation Insurance system, these cases represent the entire population of officially recognized occupational accidents within the aquaculture sector.
For the survey data, a total of 359 respondents participated, consisting of 193 Korean and 166 foreign workers. In addition to common questions, supplementary items were included for foreign workers to capture their experience with safety training and their specific requests for improvements. Although national statistics do not distinguish aquaculture workers by nationality, official records from Statistics Korea show that the total number of aquaculture workers remained relatively stable at approximately 5400–5500 persons per year during 2018–2022 [
20]. Based on this baseline, our survey sample of 359 workers corresponds to roughly 6–7% of the estimated national workforce.
Moreover, because most Korean aquaculture farms are small-scale operations—typically employing fewer than ten workers per site—tasks tend to be shared across workers rather than divided by job specialization. As such, the proportional composition of Korean and foreign respondents in our survey reasonably reflects the organizational structure and labor characteristics of the industry. The composition of the study population is summarized in
Table 1.
Furthermore, national demographic trends were referenced as background data to contextualize the increasing reliance on foreign labor. Statistics from the Ministry of Justice [
4] showed the number of foreign residents increased from 2,036,075 in 2020 (approximately 3.9% of the total population) to 2,650,783 in 2024 (5.2%). During the same period, the number of employed foreign workers rose from 452,297 to 566,961. Although the exact scale of aquaculture employment could not be verified, this trend reflects a nationwide structural shift in the labor force, with aquaculture labor following the same trajectory (
Table 2).
2.2. Analytical Procedure
The analytical procedure for this study comprised the following steps: First, accident frequencies and average approved compensation amounts were calculated using the insurance data. Second, frequencies and averages for each survey item were computed using the survey data. Third, differences in distributions by nationality were tested using chi-square (χ2) tests, while Likert-scale items were analyzed using independent-samples t-tests. Fourth, the average approved compensation amount was used as a reference indicator of accident severity. All statistical tests were conducted as two-tailed tests at a significance level of α = 0.05. This level of significance was chosen to conclude statistical significance if the probability of the observed results occurring by chance was 5% or less.
2.3. Application of the Formal Safety Assessment Framework
This study adopted the five-step FSA guidelines of the International Maritime Organization (IMO, MSC-MEPC.2/Circ.12) as the structural framework for the analysis [
18]. The procedure was executed as follows: Step 1 involved the identification of accident types and indirect factors using insurance and survey data. Step 2 focused on the verification of nationality-based distribution differences and the execution of FTA. Step 3 was the derivation of RCOs. Step 4 entailed the cost–benefit analysis (B/C ratio) using approved compensation amounts. Finally, Step 5 involved the derivation of policy and industrial implications. The detailed procedure of Step 2 applying FTA was thoroughly described in our previous study [
11], and in this study, the focus was extended to Step 3–4 for cost–benefit-based prioritization of RCOs.
2.4. Data Processing and Tools
Data processing was carried out using Microsoft Excel. Specifically, pivot tables were used to organize frequencies and distributions, and the CHISQ.TEST and T.TEST functions were applied to conduct the chi-square and t-tests. Approved compensation amounts were employed as unit accident costs and as the indicators for cost–benefit analyses of RCOs.
The indirect-to-direct cost ratio (
k) was applied within a range of 0.5–1.0, reflecting production interruptions, replacement labor, and other associated losses. The overall research procedure is illustrated in
Figure 1.
4. Conclusions
This study integrated 325 approved cases from the Industrial Accident Compensation Insurance between 2018 and 2022 (268 involving Korean workers and 57 involving foreign workers) with field survey data and FTA to quantitatively identify accident characteristics and cost structures among Korean and foreign aquaculture workers. The key findings were that among foreign workers, accidents and associated costs were concentrated in high-risk tasks involving entanglement, while among Korean workers, slips and falls were the most frequent accident type. However, falls from height were identified as the most critical category because they had the highest per-case compensation cost and severity, indicating a greater likelihood of serious or fatal injuries. Based on these results, group-specific RCOs were proposed: For foreign workers, R1 (guarding and interlocks retrofit with emergency stop systems) and R2 (multilingual SOPs and pictogram-based training); and for Korean workers, R3 (fall-protection system upgrade) and R4 (institutional measures such as Permit-to-Work (PTW) and Lockout/Tagout (LOTO)). These strategies consistently demonstrated cost-saving effects across conservative, neutral, and aggressive scenarios, confirming their effectiveness. Methodologically, this study developed a cost-based RCO prioritization model by combining insurance approval data with indirect cost estimates, thereby quantitatively incorporating economic evaluation into aquaculture safety management, where such analyses have previously been limited. The model provides a practical foundation for establishing cost–benefit-driven safety policies in the multicultural and multi-hazard environment of aquaculture. The proposed cost-based RCO model can be enhanced through future research, including more detailed categories of indirect costs, such as production downtime, replacement labor, and long-term health impacts, and field-level data differentiated by the work environment.