본 연구에서는 자료포락분석(DEA) 기법을 이용하여 해양환경 요인의 영향을 받는 남해 주요 해역의 어업생산활동 효율성을 비교하고, 해양환경 재해요인이 효율성 변동에 어떠한 영향을 미치는지 분석하였다. 분석에는 남해 서부 여자만부터 동부 진해만 해역까 지 18개 해역을 업무구역으로 하는 12개 지구별 수협의 10년간(2013-2022년) 계통출하 생산자료를 사용하였다. 분석기간 동안 여수와 고흥 수협이 상대적으로 적은 생산자수와 어업비용을 투입하여 높은 생산량과 생산금액을 산출함으로써 높은 기술적 효율성을 달성하였으며, 멸치 생산금액과 김 생산량이 각각 높은 효율성의 기반으로 추정되었다. 평균 기술적 효율성은 2013년 49.3%에서 2022년 40.7%으로 감소 하였으며, 통영 수협이 96.4%에서 34.5%로 가장 크게 감소하였다. 삼천포 수협은 기술적 효율성 대비 규모 효율성이 가장 높아 생산기술 의 순수기술적인 비효율을 해결해야 하는 것으로 나타났다. 정태적 분석에서 기술적 효율성을 달성했던 여수와 고흥 수협의 경우, 5년 단 위의 Window-DEA 분석 결과 동태적인 비효율성이 존재하는 것을 확인하였다. 해양환경 재해요인의 경우, 진해만 해역의 수협과 여수 수 협의 어업생산 효율성이 연도별로 빈산소수괴 발생횟수와 유의한 부(-)의 상관관계를 나타내었다.

This study aims to examine total factor productivity (TFP) and its determinants in offshore fisheries under the worsening fishing environment and to propose policy improvement based on the estimation results. We identified a decline in TFP of offshore fisheries from 2012 to 2020 employing the global Malmquist productivity index (GMPI), with the primary cause being the regression of the production possibility frontier due to the reduction of fishery resources. Moreover, utilizing the system generalized method of moments (GMM), we found that the determinants, such as the cessation of operations in Japan’s EEZ, vessel age, fishing experience, and oil prices, contribute to a decrease in the TFP of offshore fisheries. Therefore, this study suggests implementing a total allowable catch (TAC)-centered fishery resource management policy, along with reducing loan interest rates and extending the repayment period for the vessel modernization project. Furthermore, it is necessary to improve the TFP of offshore fisheries by providing regular training for fishermen, implementing the tax-free petroleum stockpiling project, and developing alternative fishing grounds.

This paper aims to propose a new systematic approach to analyze the factor productivity and to investigate those characteristics of factor productivity in operational and managerial perspectives. The Cobb-Douglas production function is adopted to estimate the labor and capital productivity. In estimating those productivities the data of The Research on the Actual Condition of Coastal Fisheries (RACF), especially those of Jeon-Nam Province are used. The statistical analysis of RACF data shows that the characteristics are a little bit different between labor and capital of the operational equipment in the coastal fisheries. The Cobb-Douglas type production function is useful in estimating the factor productivity, especially in case of ‘coastal Stow-net fishery’ even though the limited data is used. However, in case of ‘trap fishery,’ the Cobb-Douglas production function appears to have some limitations in estimation. This implies that estimating the factor productivities in fisheries employing broad perspectives and various methods are needed.

This study aims to face common threats from the depletion of fish resources, the decline of production and employment as well as the increase of life risk in East Sea Rim countries, North Korea, South Korea, Japan and Russia due to the Chinese fishing fleets entering East Sea. The recent competition in fishing among fishing vessels and fleets of national origin operating in the East Sea has induced a significant change in the ecological landscape of the fishing fleets cluster while having influenced production and employment in the fishing industries of South Korea and Japan as well as life threat on the fishermen in North Korea. It seems that the population organizational ecological theory can be applied to this change. It can be seen as the isomorphism of the selection process over the exclusive economic zone (EEZ) to avoid the environment in which these North Korean fishing vessels are pushed against the Chinese fleet in the North Korean part of the East Sea. To resolve the fishery disputes or conflict in the common waters in East Sea, first of all, Chinese fishing fleets will be required to put international pressure so as to solve the unfairness of the illegal fishing and overfishing by the International Fishery Organization or the UN violations of the sanctions against North Korea selling fishing rights to China. Although it is not easy for South Korea to cooperate with North Korea in the short term, South Korea will be able to support the fishery infrastructure in North Korea in the mid- to the long-term to prevent the loss of innocent lives for their fishermen and to raise their incomes.

The purpose of this paper is to analyze the productivity of the costal fisheries in Jeonnam Province. In this study, the operational characteristics and Cobb-Douglas production function of coastal fisheries were examined based on a research on the actual condition of costal fisheries (RACF). The statistical analysis of RACF data reveals that Cobb-Douglas production function consists of the three variables: fishing quantity per ton-age, the number of fisherman per ton-age and fishing equipment cost per ton-age. The results of this study show us that the relation and productivity between labor and capital of the operational equipment in the coastal fisheries. If extensive comparable biological and market data become available, analysis model can be widely applied to yield more accurate results.

The purpose of this study is to analyze the efficiency of distant-water longline fishing vessels in the Pacific Ocean and the gap in efficiencies among individual vessels. In order to estimate the efficiency, the dependent variable is set as an amount of catch and independent variables include number of crew, number of hooks, number of vessel size, and vessels engine power associated with fishing activities of distant water longline fisheries. Analytical result was shown as follows: first, the average efficiency of distant-water longline fishing vessels in the Pacific Ocean was found to be 94%. Second, the number of hooks were found to be statistically significant in each input variable and the appropriate control of the number of hooks would be expected to have a positive effect on the efficiency. Third, the relationship between the age of a vessel and the efficiency was not found statistically.

This study aims to empirically analyze the relationship between climate change elements and catch amount of coastal fisheries, which is predicted to be vulnerable to climate change since its business scale is too small and fishing ground is limited. Using panel data from 1974 to 2013 by region, we tested the relationship between the sea temperature, salinity and the coastal fisheries production. A spatial panel model was applied in order to reflect the spatial dependence of the ocean. The results indicated that while the upper(0-20m) sea temperature and salinity have no significant influence on the coastal fisheries production, the lower(30-50m) sea temperature has significant positive effects on it and, by extension, on the neighboring areas’s production. Therefore, with sea temperature forecast data derived from climate change scenarios, it is expected that these results can be used to assess the future vulnerability to the climate change.

This study aimed to analyze the relationship between sea surface temperature as a climatic element and catch amount of offshore and coastal fisheries in Korea using annual time series data from 1970 to 2013. It also tried to predict the future changes in catch amount of fisheries by climate change. Time series data on variables were estimated to be non-stationary from unit root tests, but one long-term equilibrium relation between variables was found from a cointegration test. The result of Granger causality test indicated that the sea surface temperature would cause directly changes in catch amount of offshore and coastal fisheries. The result of regression analysis on sea surface temperature and catch amount showed that the sea surface temperature would have negative impacts on the catch amount of offshore and coastal fisheries. Therefore, if the sea surface temperature would increase, all other things including the current level of fishing effort being equal, the catch amount of offshore and coastal fisheries was predicted to decrease.

This study is to estimate the recent changes in total factor productivity of 15 Korean adjacent water fisheries based on Malmquist productivity indices. The study adopted both input and output oriented productivity measures utilizing a hyperbola distance function. In addition to this point, the study also calculated the 95% confidence interval for the various components of the productivities in order to access the statistical significance of estimates using 2000 times of re-sampling process through the smoothed bootstraping. The results of the study showed us that there was 18% reduction in the overall total factor productivity during the study period from 2007 to 2011, which turned out to be 5% of annual decrease in productivity. The study found that the main reason of this decrease in total productivity is about 22% downward shift of a fisheries production function due to recent conditions of a devastated fishing ground. When we evaluated the statistical significance of changes in technical efficiency combining both pure technical and scale efficiency based on the 95% confidence intervals, we could not find any evidence of changes in those components of total factor productivity. When we accessed the productivity of the each of 15 adjacent water fisheries methods, only the large danish seine fisheries showed us about 7% increase in productivity. Even though the large trawling and the large tow-boat trawling revealed no changes in productivity, all of the other 12 fisheries suffered the decreases in productivities.

This fundamental studies on for the productivity improvement and laborsaving of purse seine fishery. Given the difficulty posed from the distortion of net shape caused by the external forces, such as tide, at the time of shooting and pursing, we set the 4 steps of 0, 2, 4 and 6cm/sec in flow velocity in the flume tank for the experiment in order to examine those characteristics. We used two model seines designed on the scale of 1 to 180 based on the power block seine, which is the mackerel purse seine generally used in the near sea of Jeju Island and triplex seine, which is the mackerel purse seine of one boat system fishing expected in the future, for the experiment, and interpreted the characteristics of several motion in water, such as the shape of seine, the change in tension and area during pursing and its the analysis results are as follows. Though the experiment could be conducted up to 6cm/sec of flow velocity that was defined, the experiment could not go on because of the severe distortion in the seine at the flow velocity in excess of 6cm/sec. As for the depth of leadline and reduction rate of side area of seine when the pursing is connected, P seine turned out to be slightly higher than T seine, and the hauling speed and reduction rate of upper area of seine were found similar to each other. The correlation between the hauling time (Ht) and depth of lead line (Dhp, Dht) of P seine and T seine can be expressed by the equation, that is, Dhp=(0.99Pt-7.63)Pt+69.01, Dht=(1.03Pt-7.73)Pt+66.74. The correlation between the hauling time and hauling velocity (Hpp, Hpt) can be expressed by the equation, that is, Hpp=-0.06Ht2+0.88Ht+0.78, Hpt=-0.05Ht2+0.81Ht+0.98 here, Pt is pursing time. And the correlation between the pursing time and the reduction rate of side area (sArp, sArt) can be expressed by the equation, that is, sArp=-0.48Pt2+14.79Pt-16.74, sArt=-0.45Pt2+14.56Pt-16.48. The reduction rate of upper area of seine (tArp, tArt) can be expressed by the equation, that is, tArp=0.34Pt2-0.66Pt-0.74, tArt=0.34Pt2-0.27Pt-1.80. In addition, the correlation between the pursing time and tension of purse line (Tep, Tet) can be expressed by the equation, that is, Tep=2.79Pt2+2.26Pt-0.60, Tet=2.14Pt2+8.08Pt-27.50.

It is the basic studies for productivity improvement and laborsaving of purse seine fishery. Because the seine shape is apt to be transformed in seine shooting process due to the effect of tide, this study is intended to establish 4 steps, whose flow velocity are 0, 2, 4 and 6cm/sec, in flume tank and perform the experiment to review the character. We used two model seines designed on the scale of 1 to 180 based on the power block seine, which is the mackerel purse seine generally used in the near sea of Jeju Island and triplex seine, which is the mackerel purse seine of one boat system fishing expected in the future, for the experiment, analyzed of the sinking movements on the two seines and its results are as follows. In the setting over the flow velocity 6cm/sec, experiment was impossible because of flying and transformation of seine were severe. The sinking movements of P seine and T seine generally showed linear phenomenon and the sinking speed showed gentle curve shape. Sinking tendency was distinguished by existence of flow velocity. When there is flow velocity, it showed the phenomenon that it sinking by similar type. Although sinking depth and sinking speed did not show distinguished classification, P seine shows bigger than T seine. When there was in flow velocity, the elapsed time(Et) and sinking depth (PDp, TDp) of P seine and T seine can be shown such experimental equations as PDp=(0.21V+4.96)Et-(0.62V-0.10) and TDp=(0.19V+4.95)Et-(0.72V+0.34). When there was in flow velocity, the elapsed time and siking speed (PSp, TSp) of P seine and T seine can be shown such experimental equations as PSp=-0.11Et2+1.42Et+1.75 and TSp=-0.11Et2+1.41Et+1.37.

선망어업의 생산성 향상에 관한 기초 연구로서 제주도 주변 해역어장(33˚37.8' N, 126˚31.1' E)에서 단선조업이 가능하도록 건조된 시험 조업선인 제주대학교 해양과학대학 실습선 아라호(990톤)를 사용하여 투망과 양망 등의 실험을 실시했다. 실험에 사용한 선망은 뜸줄의 길 829.1m, 발줄의 길이 995.7m이다. 초소형 메모리 계측기와 망심계, 장력계를 사용하여 그물 아랫자락의 수심과 선망의 장력을 측정하였으며, 측정한 자료를 이용하여 투망과 양망할 때의 그물어구의 운동특성과 장력특성을 해석하였는데, 그 결과를 요약하면 다음과 같다. 1. 단선식 조업방법에 의해 실시한 시험조업에서 선망의 투망과 양망이 가능했다. 2. 선망을 투망할 때 그물 아랫자락의 침강수심(Dp)과 경과시간(Et)의 관계는 값의 설정범위에서 다음과 같은 실험식으로 나타낼 수 있다. Dp=7.58Et-6.48 3. 죔줄을 죌 때 그물 아랫자락의 침강수심과 경과 시간의 관계는 값의 설정 범위에서 다음과 같은 실험식으로 나타낼 수 있다. Dp=-0.8Et2＋7.42Et＋92.04 4. 죔줄을 죌 때 선망의 장력은 경과시간 8분일 때 최대값(14.7톤)을 나타냈으며, 장력과 경과시간의 관계는 값의 설정범위에서 다음과 같은 실험식으로 나타낼 수 있다. T=-0.13Et2＋3.23Et-5.72