• 수산경영론집
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• 제47권4호
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• pp.57-63
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• 2016

The purpose of this study was to raise some questions about the supply and demand statistics of fisheries products and to find implications for food supply and demand. There are three problems in the statistics of fisheries supply and demand. First, it is a structural problem of supply and demand statistics. Supply and demand statistics are not accurate because the feed, the amount of loss, and the waste rate are not surveyed. Second, the amount of fish used as a moist pellet is missing. Third, although some of the seaweed and kelp production is used as abalone feed, it is not classified as feed. Taking these results into consideration, at least 300,000 tons should be classified as feed for fisheries supply and demand statistics. As mentioned above, the current statistics on the supply and demand of fisheries are incomplete and structural improvement is needed.

• 수산경영론집
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• 제48권2호
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• pp.19-32
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• 2017

The purpose of this study is to identify problems and suggest improvements of estimating procedures and item of fisheries supply-demand statistics served as a basis for the fisheries supply-demand policies. Korea Rural Economic Institute(KREI) and Ministry of Oceans and Fisheries(MOF) respectively publish the fisheries supply-demand statistics. But the reliability of data is low as the statistics of these two organizations are limited and show discrepancy in the numbers. It is therefore difficult to use them as the basic data for policies. Also, an accurate data aggregation is difficult due to following problems in the items of statistics. 1) Problems in estimating route sales and non-route sales of production, 2) adequacy of fishery product yield rate compared to raw material in the fisheries import/export sector, 3) selection of target companies for understand stocks and survey scope of fish species, 4) applying'0'to non-edible product demand etc. In order to develop the fisheries industry as a future growth industry, it is necessary to establish the accurate fisheries supply-demand policy as the instability of fisheries supply and demand is increasing. To do this, statistical reliability has to be improved. The improvements proposed in this study should be implemented considering urgency. First of all, an exhaustive analysis of stock statistics and conversion rates of raw material yield in the fisheries import/export sector should be conducted. In the medium term and the long term, transferring production statistics to MOF and surveys on the use demand of non-food product and the level of reduced and discarded seafood products should be carried out in consecutive order.

• 수산경영론집
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• 제44권3호
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• pp.47-60
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• 2013

A study on the seamen's demand - supply has been focused on early 1990s, and never studied yet since 2007. Because previous studies related to the seamen are very different in conditions the environments around the fishery recently. It is serious problem that the number of domestic semen are decreasing continually. To depend on foreign seamen because of lacking of domestic seamen should be linked closely with the fishing industry environment in our country. Therefore, this study is limited to domestic seamen. Lacking recent domestic seamen, it is the most likely to rise imbalance between demand - supply in the future. Through medium and long term its analysis based on data, we are willing to discover various political subjects for seamen's welfare, the training of manpower, education, etc. To solve these issues, it can be made institutional changes as follows ; First, it is necessary policy-making related the deteriorating employment situation based on its analysis of medium and long term for seamen. Second, it is necessary to overcome a dual system for its management for seamen. Third, it is necessary to improve problems of statistics data for fishery and build a statistical system for seamen. Also, it will be improved a insurance system under 5 ton and strengthen the function for Korean seamen welfare and employment center and must be urgently countermeasures for the minimal unemployment rate through a content development and management of home page. Finally, it will be supplied reliably seamen to improve a practice system for apprentices according to the international regulations(STCW-F) for fishery students.

• 응용통계연구
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• 제23권6호
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• pp.1023-1034
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• 2010

노량진수산시장은 국내 최대의 소비자 수산물 전문 도매시장으로 서울지역의 수산물 공급에 큰 역할을 담당해 왔다. 최근 대형할인점 등의 진출로 인해 수산물 유통에서도 큰 변화가 나타나고 있으며, 노량진수산시장도 이에 대한 대응책으로 고객관점의 서비스 전략개발을 중요하게 고려하고있다. 본 연구에서는 이러한 상황에서 소비자들이 원하는 고객만족요소가 무엇인지 확인하고 노량진수산시장의 고객만족도 조사체계를 구축하며, 설문조사를 통해 고객만족수준과 충성도수준을 정확하게 진단하여 노량진수산시장의 고객만족경영 전략방향을 제시한다.

• 수산경영론집
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• 제48권2호
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• pp.67-82
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• 2017

The study intends to examine the effects of the fishing license system on fisheries resources in order to reduce the adverse effects of recreational fishing, such as fishery resource reduction and environmental pollution. In doing so, the research question of the study is to determine what factors influence anglers' willingness to support fishing licenses. Based on the extended theory of planned behavior, we further included explanatory variables such as recreation specialization and motivations besides anglers' attitudes, norms and self-efficacy towards the environment and proposed six research hypotheses. The data were collected through on-site and online surveys in Gwangju and Cheonnam province and a total of 337 effective questionnaires were collected for data analysis. Three different binary logit models were employed with the dependent variable of anglers'willingness to support fishing licenses to assess the effects of explanatory variables. Study results show that social norms, the level of recreation specialization, motivation factors related to environmental experiences positively affected anglers'willingness to support fishing licenses. However, anglers'consumptive orientation attitudes such as catching big fish, motivation factors related to activity general experience preferences and previous fishing experience had negative effects on the dependent variables. Study results indicate that public outreach and education programs are essential to successfully introduce the fishing license system. Managerial and policy-related implications are further discussed to make recreational fishing a more environment-friendly recreational activity. This study investigated the effects of diverse variables derived from anglers' social-psychological characteristics on their support for fishing licenses and suggest diverse policy-related and managerial implications.

• 대한원격탐사학회지
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• 제33권5_2호
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• pp.631-640
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• 2017

쌀 생산량 예측 및 조사는 농가 소득 보전 및 농업 분야 기관에 영향을 주고 수급 조절과 가격 예측 등 정부의 정책 수립과 관련하여 중요한 의미를 갖는다. 이에 따라 작황 추정 모델의 구축이 필요하며 과거로부터 기상 자료 및 위성 자료를 통해 경험적 통계 모델 또는 인공신경망 알고리즘을 기반으로 한 연구가 다수 진행되었다. 현재 인공신경망 모델을 기반으로 개발된 딥 러닝 알고리즘이 패턴 인식, 컴퓨터 비전, 음성 인식 등의 분야에서 폭넓게 사용되며 뛰어난 성능을 보이고 있다. 최근 다양한 딥 러닝 알고리즘 중 SSAE 알고리즘이 시계열 자료를 통한 예측 분야에서 적용 가능성이 확인되었으며 본 연구에서는 SSAE를 통해 남한 전역에 대한 쌀 생산량 추정 연구를 진행하였다. 입력 변수로 기상자료와 위성자료를 사용하였으며 남한 벼의 생육 기간을 고려하여 입력 자료를 기간별로 나누고 최적의 입력 자료롤 찾고자 하였다. 실험 결과, 5월부터 9월까지의 위성 자료와 16일 평균값을 사용한 기상 자료와의 조합을 사용하였을 경우 평균 연도별 %RMSE, 시군구 %RMSE 각각 7.43%, 7.16%로 가장 좋은 성능을 보였으며 이를 통해 쌀 생산량 추정 분야에 대한 SSAE 알고리즘의 적용 가능성을 확인할 수 있었다.