The study was conducted to indentify systematically current marketing structure and markeiing efficiency of major cash crops such as red peppers and garlics. That various data and information have been used to analyze the problems related, some of them have come from secondary sources, but major parts of real circum stances were primarily obtained from the scheduled field survey. Some of valuable facts and consequences stemmed from the research can be summarized as fellows: First of all, the commercial rates of peppers and garlics produced by sample farms were 87.5 percent and 69 percent, respectively. On the other hand, annual handling volumes per marketing firm of those two crops were on the average estimated into 51,000 kyun(about 600gr) for peppers and 20,000 hundred bulbs of garlic. As seen physical losses over the entire marketing channels of each crop, it was approximately calculated in 14.7 percent of peppers and 21.1 percent of garlic, respectively. Secondarily, it was found that marketing chanells of these crops are very diversified and complex. However, the five-staged chanell is typical: i.e., from producers to local consigners, to local carry-out merchants, to consigner-wholesales, and finally to retailers. Thirdly, it was also estimated that gross marketing margin, marketing cost and profit based on average grade of peppers were 56.1 percent, 22.6 and 33.5 percent, respectively, having 43.8 percent of farmer's share, and those of garlic 38.9, 17.1, 21.8 and 61.1 percent, separately. To the end, it seems that current collective bargaining power of farmers' cooperatives is virtually weak compared to free individual marketing firms in terms of bssiness volumes and quantity handled over the year.

Purpose - The objective of this paper is to discover if there exists a relationship between the economic index and distribution industry index in Korean. Because of the distribution industry boom in the recent years, a lot of interest in the relationship between the economic index and distribution industry index in Korean and the economy has been generated. This article examine on the mutual influence between economic index and distribution industry index in Korean. Research design, data, and methodology - For this purpose, we use the vector-auto regression model, impulse response function and variance decomposition of the economic index and distribution industry index, Granger causality test using weekly data on the economic index and distribution industry price index in korea. The sample period is covering from January 2, 2010 to August 31, 2019. The VAR model can also be linked to cointegration analysis. Cointegration Analysis makes possible to find a mechanism causing x and y to move around a long-run equilibrium (Engle and Granger, 1987). This equilibrium means that external shocks may separate the series temporarily at any particular time, but there will be an overall tendency towards some type of long-run equilibrium. If variables are found to have this tendency they are said to be cointegrated and a long-run relationship between these series is established. These econometric tools have been applied widely into economics and business areas to analyze intertemporal linkages between different time series. Results - This research showed following main results. First, from the basic statistic analysis of the economic index and distribution industry index in Korean, the economic index and the distribution industry index in korea have unit roots. Second, there is at least one cointegration between the economic index and distribution industry index in Korean. Finally, the correlation between of the economic index and the distribution industry index in korea is (+) 0.528876. Conclusions - We find that the distribution industry price index Granger cause the economic index in korea. As a consequence, the distribution industry index affect the economic index in Korean. The distribution industry index to the economic index is stronger than that from the economic index to the distribution industry index.

Nowadays meteorological information is systemized as a useful knowledge which has a significant effect on the overall industrial domains over the simple data. The distribution industry, which has the short life cycle, depends on the meteorological information at the strategic level. However, it is necessary to pay attention to the continuous investment in meteorological information because there is a hostility to paying for a service, particularly it does not provide accurate and reliable information. Therefore, the purpose of this study is to increase the usefulness of meteorological information in the distribution industry for its economic effectiveness from the core meteorological factors. We found significant meteorological factors (temperature, precipitation, disaster) that have a critical influence on the distribution industry through the hierarchical analysis process, and their importance according to the type of distribution channels, such as department store, large-scale discount store, convenience store, and home shopping. We performed the AHP analysis with 103 survey samples by middle managers from the various distribution channels. We found that precipitation is the critical meteorological factor across the distribution industry. Based on this result, we stress the difference in the level of the meteorological information in order for the effectiveness of each type of distribution channels.