The purpose of this study is to identify specific patterns of Sasimi consumption in Korea using cluster analysis. The data applied in the analysis were collected from five major cities in Korea through telephone interview with trained surveyors. This study investigated three major topics; 1. Korean people prefer to eat Sasimi at the restaurants rather than at-home. 2. The quality of Sasimi is different according to where the eating place is located such as seaside or inland. 3. Determinants of Sasimi Consumption are different according to population characteristics, sex or occupation. The main findings of the study can be summarized as following three points. Firstly, Koreans preferred to eat Sasimi out 83.3% of respondents chose eat-out rather than eat-at-home. These are especially popular with men, 40' years older, self-employed, lived in capital area. Secondly, satisfaction level of Sasimi consumption was good in Choong-Cheung province. Since Chung-Cheong Province was located in the inland, the chance to eat Sasimi is lower than seaside. Thirdly, consuming decision factor of Sashimi was different across groups. None of decision factors take effect on Group 1 while indigenous variable of Sashimi has effect on Group 2 and external variable has effect on Group 3. Therefore, in order to increase Sashimi consumption, it is necessary to at-home consumption of Sashimi should be improved. Moreover, it is necessary to develop marketing strategy which fits in regional characteristics and to have government assistance.

The paper estimates changes in total factor productivity and technical efficiency change index and technical change index using Malmquist productivity index(MPI) in fisheries wholesale products over the time period of 2006 through 2008. The model considers a number of employees and operating costs as input factors, and sales and EBIT(earnings before tax and interest) as output factors. The results indicate that, between 2006 and 2007, there is in general technical progress in which TCI(Technical Change Index) indicates 2.7994 in the sale scale of 50 million won through 100 million won, while there are no efficiency in TECI(Technical Efficiency Change Index), PECI(Pure Efficiency Change Index) and SECI(Scale Efficiency Change Index) which are estimated to be around 1. Between 2007 and 2008 technical efficiency and technical progress are generally declined, compared to those of 2006 and 2007. Wilcoxon's rank-sum test shows that there are statistically significant difference of TCI and MPI between two periods at the level of 5%, while there are statistically significant difference of TECI, PECI and SECI between two periods at the level of 5%.

This study estimated the technical efficiency of coastal composite fishery in Korea by using the data envelopment analysis (DEA) and the stochastic frontier analysis (SFA) methods, and the results on the respective method were compared. In the DEA method, the constant returns to scale (CRS) and the variable returns to scale (VRS) output-oriented DEA models were separated and technical efficiencies were estimated, respectively. The average estimated value of technical efficiency by the SFA method (0.633) was found to be lower than that by the VRS-DEA method (0.738), while it was higher than that by the CRS-DEA method (0.479). It was found that strong correlation exists between the SFA method and the VRS-DEA method. The method which can utilize both methods in mutually complementing way for the estimation of technical efficiency was also considered.

This paper tries to apply the asymmetrical price transmission(APT) behavior observed in the agricultural industry to supply chains of the domestic fishery industry by a statistical manner. The fore mentioned asymmetrical price transmission refers to when price movements in the later stage of the supply chain do not move in a normal or symmetrical manner corresponding to price movements in the earlier stage of the supply chain. Therefore, when the earlier stage price increase and the later stage price increases to a larger degree, it is called positive(+) asymmetry and the opposite behavior is called negative(-) asymmetry. The study examines the data from domestic producers of three fresh fish types, hairtail, mackerel, and cuttlefish, and tries to examine the price asymmetry between the producer or farm, wholesaler, and retail prices via an APT test utilizing unit root, cointegration, and error correction model. The study found, hairtail wholesale and retail pricing bas a negative asymmetric relationship while mackerel has a negative asymmetric pricing relationship at the producer and retail levels of the supply chain. In the case of cuttlefish, all levels of the supply chain showed negative asymmetrical behavior in the supply chain price transmission, meaning the earlier stage price changes are more rapidly and greatly inputted in the later stage of the supply chain pricing. We believe that the reason why the analysis results show negative price asymmetry is due to the uniqueness of fishery products having an important variable such as freshness. If price increases are greater and quicker than price decreases, then consumer demand, which is sensitive to price increases will decrease and subsequently result in the increase of inventory levels, reducing profits for retailers. Also, frozen hairtail, mackerel, and cuttlefish will act as substitute goods to fresh fishery products. Therefore, fresh fishery products have a high demand of price elasticity. When prices increase, demand quickly decreases. Therefore the profit of wholesalers and retailers to decrease, I think this is the main reason of APT in the supply chain of Korea' s fisheries industry.

Abalone is a primary commodity that is almost traded as live fishes. So the application of 'addition' is common in local transaction of abalone. Nevertheless, an excessive application of addition leads to some social problems. The abalone industry is one of the most rapidly growing industry in fisheries. This growth is caused by propagation of sea cage and mechanization of feeding. As a result, the abalone distributers are increased. However, the distributers have great bargaining power, so they sometimes claim excessive addition rates to aquacultural abalone producers. Difference in fitted level of the addition rates between distributers and producers cause some problems as an aversion to shipping of abalone. Also, the words about addition have not clear definition yet. So many related terminologies, for example, addition, deviation, and loss, those have different meaning are in used. And unfortunately many industry insiders use the words, 'addition', mixed with other related terminologies on transaction. The main objective of this study is to clearly define addition's meaning on the abalone transaction and to analyze the correlations between the addition and the abalone prices, outputs, and exports. Analysis results show addition negatively affects abalone prices and outputs. Furthermore, addition contributes to abalone exports negatively contrary to expectation. Such results can provide information that 'stabilization of supply and price of abalone' is realistically better method than 'increasing of additional rates' to expand abalone exports. Negative correlations between variables tell that a dictionary definition of addition, a free as seller's benevolence, is divorced from reality of abalone industry. Therefore "Loss", that means preservation in unintentional loss of abalone objects, is more suitable than "Addition" on abalone transaction.

The FAO reports that IUU fishing activities have widespread economic, social, and management consequences, including depriving legitimate fishers of harvest opportunities. It affects all fisheries from small scale to industrial. It also affects the ability of governments to support sustainable livelihoods for fishers and, more broadly, to achieve food security. The complexity of IUU requires various measures to combat IUU fishing such as adoption of IUU vessel lists; stronger port State controls; improved monitoring, control and surveillance (MCS); implementation of market-related measures to help ensure compliance; and capacity-building assistance. Trade and market measures reduce opportunities for IUU fishing activities by precluding or impeding access to markets for IUU product in a manner consistent with international law. ICCAT, CCAMLR, and IATTC, have put in place trade tracking programs or catch documentation schemes, and WCPFC is considering such a program. Vessel lists assist enforcement authorities in determining which vessels are or are not authorized to be fishing or conducting fishing support activities in specified areas. A number of RFMOs maintain records of IUU vessels: CCAMLR, IATTC, ICCAT, NAFO, NASCO, NPAFC, WCPFC. Section 608 of the US MSRA calling on the Secretary of Commerce, in consultation with the Secretary of State, and in cooperation with relevant regional fishery management councils and any relevant advisory committees, to take actions to improve the effectiveness of international fishery management organizations in conserving and managing stocks under their jurisdiction. EU IUU Regulation entered into force on 1 January 2010, was intended to regulate the highly complex multi-channel fisheries supply system of the European Community (EC) in an effort to improve global fisheries sustainability.

This study is to analyze the efficiency of Korean fishing ports using DEA. First, the study calculated the efficiency scores based on a CCR-BCC framework and hence technical, pure technical, and scale efficiency scores are seperated for the 38 fishing ports under study. The Average of technical, pure technical, and scale efficiency are turned out to be 0.6834, 0.8582, and 0.7774 respectively. The 15 fishing ports are fully efficient under the constant returns to scale while 21 fishing ports under the variable returns to scale. Second, the super efficiency scores are also calculated under the radial model without the consideration of slacks. The highest score is turned out to be 4.4984 for the P16 fishing port with the average score of 0.9652 for the entire fishing ports. Nevertheless, P16 fishing port has showed up only once as a reference set. On the other hand, P34 fishing port has showed up 11 times as a reference set, which scored the second highest score of 2.9815. Finally the super efficiency scores are calculated under the non-radial model with the explicit consideration of slacks. Now the P34 fishing port scored the highest score of 2.3424 with even 15 times referred to a bench-mark. Therefore the importance of P34 fishing port is emphasized once again on the field of bench-marking for the efficiency of fishing ports. When the targets for the input factors to improve the efficiency of each DMU are calculated the area of fishing port needs the most adjustment to be reduced for 40.36% on the average, while the cosignment sales area does the least adjustment for 13.70%.

In this paper we aim to find out consumer behavior based on fish shares in their buying ingredients, path segmentation, product and service quality, customer satisfaction and then we try to analyze the impact of them on each consumer buying behavior. In this study, first, consumers, divided by general merchandise retail store and traditional fish retail store, these also divided by two groups that are with high spending group and low spending group, so totally we have four parts of consumer behavior segmentation market profiles. Second, we analysis the affect of each factor on consumer behavior. That is, we try to analysis the effect of product and service quality on customer satisfaction in four seafood market group. The results of this study are summarized as follows;