The purpose of this paper is examine what factors have working for consumers' attitudes forchoice of Yuba. I approached this purpose by using Logistic Regression Model and CustomerSatisfaction Analysis as preliminary considerration.
The Yuba that became an object of study is made from the soybean that is called Suzusayaka.Suzusayaka is soybean that is lacking all lipoxygenase isozymes developed in National AgriculturalResearch Center for Tohoku Region. So the soybeans' processed products do not smell green. We areexpecting Suzusayaka to become the material of Yuba in the Tohoku region.
The finding were follows.(1) As a result of the CS analysis, the importance degree and thesatisfaction rating of the “Thick” and “Sweetness” are high. And the satisfaction rating is high thoughthe importance degree of “Smelling of Green” and “Over-Stewed Smell” is not high. Neither theimportance degree nor the satisfaction rating of “Savor”, “Looks”, and “Texture” are too high.(2) Thecalculation process only shows externals of consumers no statistics cognitive construct by the CSanalysis.(3) As a result of Logistic Regression Model, the confounding factors were observed in the“Looks” “Savor” and “Thick”.(4) Finally, decided the model which consisted of three factors of“Looks” “Savor” and “Sweetness” by using backward method.
From these findings, Logistic Regression Model is more suitable for the analysis of a moreaccurate food taste examination than the CS analysis because of the above-mentioned result. And, through the decision process of this model, it is possible to use this method of searching for the majorfactor in a wide field.

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The production and utilization of biofuels is promoted in many countries and regions, and it isestimated that these markets will continue to expand in the future. This study is the first toevaluate existing studies on how biofuel expansion will impact international food prices, and presentsa new study on how bioethanol consumption will impact world corn prices by using a dynamic partialequilibrium model. There have been many studies on the biofuel impact on food prices. However, few are neutral, with the exception of a study by IFPRI (International Food Policy Research Institute).IFPRI found that bioethanol consumption would have led to a 20-21% decrease in international cornprices if U.S. Bioethanol consumption was abolished in 2007. This means that U.S. bioethanolconsumption will impact international corn prices by 20-21%. The current study examines the samescenario. If U.S. Bioethanol consumption were abolished, international corn prices would havedecreased by 22.2% in the 2007/08 period and would decrease by 37.4% in 2017/18. The results ofthis study indicate that U.S. bioethanol consumption will impact international corn prices by 22.2-37.4%. The estimations show that U.S. Bioethanol consumption impacted international corn prices by22.2% in 2007/08.

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In this paper, we calculate the self-sufficiency ratios in each industry and a food system, considering the composition of material costs by applying input-output analysis.
In calculation, we utilize 399 sector made a reclassification on the basis of 2000 iput-otput tablebasic sector classification (noncompetitive-imports type). The major findings are as follows.
In the livestock industry and the food industry depending heavily on the import in terms of rawmaterials, there is big difference between the self-sufficiency ratios considering the composition ofmaterial costs or not.
The self-suffciency ratios in this paper are calculated more highly than food self-sufficiency ratioson a calorie supply basis. This is the reason that the value added arising accompanied with thecommodity production is domestic entirely.
In addition, self-suffciency ratios in this paper are higher than total food self-sufficiency ratios ona production value basis in the food balance sheet (71% in 2002). It is thought that this difference iscaused by the price evaluation of domestic and imported goods. This is a remaing issue.

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