The purpose of this study was to categorize and comparatively analyze tourists of different life-style groups who visit Yesan according to their lifestyles as well as their consumption behaviors and attitudes towards local foods or specialty agricultural products in order to understand the various needs, attitudes, and behaviors of consumers in each life-style group. Group 1 had a high percentage of single people in their 20s and those who worked in technology. Group 2 had a high percentage of those in their 30s and 40s who were married and were professionals. Group 3 had a high percentage of men and those in their 40s and 50s, as well as a high percentage of high income, highly educated people. Group 4 had a high percentage of those in their 20s or those in their 60s or higher. Compared to other groups, group 4 had a larger percentage of lower income and less educated people. In verifying the difference between life-style groups in terms of their behaviors and attitudes toward local foods and specialty agricultural products, consumption and experience of regional specialty foods showed high average scores in groups 1, 2, and 3, with significant differences from group 4.

The objectives of this study are to analyze life satisfaction between agricultural and non-agricultural households using 1~4th KReIS (Korean retirement and income study) data, to investigate whether to affect on life satisfaction according to the employment industry of householder. and to examine various determinants of life satisfaction between agricultural and non-agricultural households. The summary of analysis results is as follows. First, life satisfaction is influenced by economic value. Also it is examined that both physical and mental health have a significant effect for life satisfaction. Especially, it is analyzed that the effect of mental health is larger than one of physical health for life satisfaction. In addition, it is investigated that life satisfaction of single-person households is higher than two or more person households. Second, there was significant difference between agricultural and non-agricultural households in life satisfaction. It was proved that life satisfaction of agricultural households is higher than non-agricultural ones. As a result, it is confirmed that life satisfaction is influenced by industrial characteristic and mental health rather than another determinants.

In this study the effect caused by limited storage lift of agricultural products for determining shipping amount can be analyzed by lst order autoregressive model based on cobweb theorem. Carrying capacity and auction price of upland-grown cabbage and garlic from 2000 to 2003 in wholesale markets were used for analysis. In result regression models of cabbage can not be used in verification periods although those of garlic approximately predicted shipping amounts in verification periods. It can be inferred that it is hard to control shipping amounts depending on price fluctuation for agricultural products which have limited storage life so cultivated areas and meteorological risk should be managed for stable price.