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        검색결과 2

        1.
        2018.11 KCI 등재 서비스 종료(열람 제한)
        The objective of this study is to analyze the factors increased use of environmentalfriendly agricultural product in school food service. For this, I surveyed the perceptions on environmental-friendly agricultural product and willingness-to-pay for increasing use to 500 parents of elementary, middle and high school. As a result, the perception of environment and safety is the highest, but health and consumption is the lowest. The average of willingness-to-pay is about 12,136 Won per month. But 14.2 percent of the total respondents said that they did not have a willingness-to-pay, and 62.6 percent said that they would pay an additional 10,000 won or less. The factors affecting the willingness-to-pay were gender, income, health and consumption factors. Despite the low level of parents’ perception of the health and consumption factors for environmental-friendly agricultural products, health and consumption factors affect statistically significant on the willingness-to-pay compared to others. Most of the promotion and education of environmental-friendly agricultural products has focused on safety, but this study suggests that education on the health and correct consumption of environmental-friendly agricultural products is important.
        2.
        2013.12 KCI 등재 서비스 종료(열람 제한)
        The purpose of this study is to estimate efficiency of environmental-friendly agricultural product by using Data Envelopment Analysis. A proposed method employs a bootstrapping approach to generating efficiency estimates through Monte Carlo simulation resampling process. The technical efficiency, pure technical efficiency, and scale efficiency measure of strawberry by pesticide-free certification is 0.967, 0.995, 0.968 respectively. However those of bias-corrected estimates are 0.918, 0.983, 0.934. We know that the DEA estimator is an upward biased estimator. In technical efficiency, average lower and upper confidence bounds of 0.807 and 0.960. According to these results, the DEA bootstrapping model used here provides bias-corrected and confidence intervals for the point estimates, it is more preferable.