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.

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.

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.