• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.58 no.2
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• pp.185-192
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• 2022

Fisheries is known as a high-risk industry in Korea, and various efforts have been made to reduce occupational accidents. Trap fisheries represent crustacean production, accounting for 4.7% of total fisheries production and 10.7% of its production value, which is classified as a relatively high-risk industry. With the disaster insurance payment data of the National Federation of Fisheries Cooperatives (NFFC) from 2016 to 2020, the accident rate of the entire fishery, the accident rate of trap fisheries, and the type of disasters in the past five years were analyzed. As a result, the average fishery accident rate for the past five years was 5.31%, but it was high at 6.15% for coastal trap fisheries and 5.59% for offshore trap fisheries. Slips and trips, struck by objects and contact with machinery were the most common types of the accident according to the characteristics of the work, and hand injuries were analyzed the most. Additional efforts, including education for accident prevention, development of personal protective equipment and improvement of the working environment, are needed to prevent accidents caused by repeated types of disasters.

• Fisheries and Aquatic Sciences
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• v.1 no.2
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• pp.293-295
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• 1998

• The Journal of Fisheries Business Administration
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• v.45 no.2
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• pp.73-83
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• 2014

This study estimated quantitatively the loss of the fisheries due to China's illegal fishing that prevailed in the EEZ of the country in recent and has been an object to present a basic data in the implementation of government policy as to strengthen the enforcement capacity, setting up the direction of the crackdown of Chinese through to figure out an objective loss according to that. The analyzed result of this study setting a reasonable scenario, fisheries resources reduction is estimated about 67.5 million ton and the estimated amount of the loss is about 1.3 trillion won. This is 21.2% of about 318.3 ten thousand tons of the total fishery production of the country and accounts for 61.9% compared to coastal and offshore fisheries production. Therefore it is a very serious problem due to China's illegal fishing in Korea fisheries sector. It is significant to the point that estimating the qualitative and quantitative losses that can achieve a realistic and effective policy.

• The Journal of Fisheries Business Administration
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• v.44 no.2
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• pp.101-109
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• 2013

This study is aimed to analyze investment effects of fisheries R&D projects of the National Fisheries Research and Development Institute(NFRDI). In the analysis, Granger causal relations between R&D investment and fisheries production are tested. In addition, time-lag effects of fisheries R&D investment are estimated with an impulse response analysis and investment effects of R&D projects are estimated by changes of social surplus. Results indicate that there exists an Granger-causality between R&D investment and fisheries production and fisheries production responds to the fisheries R&D shock about three years after the initial shock. The magnitudes of the impacts increase until a peak is reached 5~7 years and the impacts decline to zero after 25 years. As investment effects, it is shown that the internal rate of returns of fisheries R&D investment is 55.2%.

• Journal of Practical Agriculture & Fisheries Research
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• v.26 no.1
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• pp.22-29
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• 2024

In this study, we summarized the definition of smart vegetable seedling production technology, analysis of smart seedling production system, a hardware and software configuration model for smart seedling production system, research and development trends in smart seedling production system, and proposed future research and development plans for smart seedling production technology. Smart vegetable seedling production is a data-based seedling production, management, and distribution system that utilizes 4th Industrial Revolution technology to improve seedling productivity and quality. The production of vegetable seedlings using smart seedling production technology can be efficiently managed by collecting, analyzing, and managing information on seedlings, environment, and tasks at each stage of production by linking with the smart seedling integrated management system. However, there is still a lack of standardization of seedling standards and quality for each vegetable crop to establish smart seeding production technology, as well as development of smart seedling production element technology, which requires national wide R&D support.

• Journal of Fisheries and Marine Sciences Education
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• v.19 no.1
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• pp.101-109
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• 2007

The school system of fisheries high school was proper to specialist objective school system in order to training for expert human resource development.Training a field of human resources development from fisheries high school is fallow; fisheries production, seamen's training, ship engine and refrigerator, marine electronic telecommunication and information, fisheries foods production and fisheries foods production and distribution, fishery fisheries self-management, marine distribution, management and conservation of marine environment, safety and marine prevention of disasters, apparatus of marine development, under water area development.A new department opening and each department was revised toward to department name and department character. The unit-lesson hour of curriculum according to specialist objective school system of fisheries and marine highschool was revised. professional subject 98 unit-lesson hour(52%), normality subject 90 unit-lesson hour(48%), and educational activity of professional subject 10unit-lesson hour, total training activity 10 unit-lesson hour. And the special objective school system need to revise curriculum of 208 total unit-lesson hour.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.54 no.3
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• pp.246-254
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• 2018

In this study, we developed a thermoelectric generation system for coastal fishing boats that allows for a high-density arrangement of thermoelectric modules, verified the improvement in performance by conducting comparative analysis between field test results and results from previous studies. The developed thermoelectric generation system was installed in a 3-ton gill-netter to analyze the engine revolutions per minute and energy production per day for each fishing process over a period of 20 days. From the experimental results, the maximum electric energy generated was 207.1 Wh, the minimum was 53.93 Wh and the average electric energy was 129.98 Wh. In accordance with the increasing of the engine r.p.m., the maximum electric production was 183 W at 1,500 r.p.m. It was approximately 80.5% of designed capacity, 227.2 W. Considering the result in the earlier research was 50.7% of designed capacity, 115.8 W. It was improved by 30% compared to the earlier one. The fishing operation was classified as departure, fishing and arrival. From the result on production analysis of electric energy, the composition of energy was 63% in fishing, 19.5% in departure and 17.5% in arrival. The electric energy production per unit hour was 42.8% in arrival, 32.9% in departure and 24.3% in fishing.

• Environmental and Resource Economics Review
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• v.28 no.3
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• pp.415-435
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• 2019

The purpose of this study is to analyze the returns to scale by estimating the bigeye tuna production function of Korean distant longline fisheries in WCFPC waters. In the analysis, number of crews, vessel tonnage, number of hooks, and bigeye tuna biomass are used as input variables and the catch amount of bigeye tuna is used as an output variable in the Cobb-Douglas production function. Prior to the function estimation, the biomass of bigeye tuna was estimated by the Bayesian state-space model. Results showed that the fixed effect model was selected based on the hausman test, and vessel tonnage, hooks, and biomass would have direct effects on the catch amount. In addition, it was shown that the bigeye tuna distant longline fisheries in WCFPC water would have increasing returns to scale.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.6
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• pp.1792-1800
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• 2016

This study is aimed to analyze the profitability of flatfish fry production farms in the Republic of Korea. The continuous and stable production of flatfish fries is one of important factors that increases the possibility of flatfish aquaculture's success. It is also the basis of aquaculture industry that estimates the quantity and quality of fishery products from aquaculture. Based on the surveyed data, production values and costs of flatfish fry production are estimated and compared to determine the profitability of flatfish fry production by farm. Results show that average return on sales of farms is 21.2%(12.4~26.3%), indicating that flatfish fry production would be profitable under the current production and market conditions. Sensitivity analyses of main variables (survival rate and selling price) indicate that the profitability of flatfish fry production farms can be significantly decreased when the survival rate and selling price would be slightly decreased.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.42 no.5
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• pp.494-502
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• 2009

A quantitative model was developed in order to estimate fishery production damage due to anthropogenically induced environmental changes. The model is described in the following equation, $Y_D=\frac{{\phi}_D}{{\phi}_G}[Y_0{\cdot}(t_p-t_0)-\frac{Y_0}{{\phi}_G}(1-e^{-{\phi}_G(t_p-t_0)})]$, where, $Y_D$ is annual amount of fishery production by nuclear power plant. ${\varphi}$ D and ${\varphi}$ G are instantaneous decreasing coefficient of fishery production by nuclear power plant and instantaneous decreasing coefficient of gross fishery production, respectively. $Y_0$ is annual mean fishery production without damages. $t_p$ is the present time, and $t_0$ is the starting time of damages. The model was applied to fishing grounds near a nuclear power plant on the east coast of Korea. Since fishery production damages have become bigger with increasing emission of thermal effluents from generators activities in the power plant, this factor has also been considered as, $\delta_{D_i}=\delta_D\({\sum}\limits_{i=0}^{n}\;W_i/W_T\)$, where, $\delta_{Di}$ is the cumulative damage rate in fishery production from generators, $\delta_D$ is the total cumulative damage rate in fishery production, $W_i$ is the emission amount of thermal effluents by generator i, and n is the number of generators in the nuclear power plant. This model can be used to conduct initial estimates of fishery production damages, before more detailed assessments are undertaken.