• The Korean Journal of Food And Nutrition
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• v.22 no.3
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• pp.338-344
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• 2009

This study analyzed consumers' willingness to pay for price increases to avoid the purchase of GM foods by the expansion of GMO labeling. The subjects were asked about their knowledge of GM, concerns of potential hazards, and sources of obtained GM information. The logit model was employed and marginal effects were calculated to interpret the results. The results showed that consumers who perceived the safety of GM technology were less likely to pay for price increases, while consumers who had concerns about GM foods were more likely to pay. In addition, the study demonstrated that consumers residing in urban areas and with low levels of education and income were also less likely to pay for price increases.

• Korean Journal of Organic Agriculture
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• v.25 no.4
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• pp.699-710
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• 2017

This study analyze the willingness to pay for customized agricultural products to diabetes. For this purpose, a survey was carried out for patients with diabetes 212 patients. The main results are as follows. First, the survey found that the interest in health and food was found to be very high in 93.9 % and 85.9 % respectively. This means that there is sufficient market potential if customized food and diets for diabetes are developed. Second, the Logit analysis showed that influential factor for the willingness to pay for a customized diet. The higher the risk, the better the health outcomes, the higher the likelihood that the higher the level of income, the more likely it is to purchase a product for a diabetic food package. Third, the average amount of willingness to pay for the customized food for diabetes patients was 7,823.5 won and the truncated average value was 6,953.3 won.

• Journal of Korean Academy of Nursing
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• v.43 no.2
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• pp.154-164
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• 2013

Purpose: The purpose of this article is twofold: 1) introducing logistic regression (LR), a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent variable, and 2) examining use and reporting of LR in the nursing literature. Methods: Text books on LR and research articles employing LR as main statistical analysis were reviewed. Twenty-three articles published between 2010 and 2011 in the Journal of Korean Academy of Nursing were analyzed for proper use and reporting of LR models. Results: Logistic regression from basic concepts such as odds, odds ratio, logit transformation and logistic curve, assumption, fitting, reporting and interpreting to cautions were presented. Substantial shortcomings were found in both use of LR and reporting of results. For many studies, sample size was not sufficiently large to call into question the accuracy of the regression model. Additionally, only one study reported validation analysis. Conclusion: Nursing researchers need to pay greater attention to guidelines concerning the use and reporting of LR models.

• Journal of the Korean housing association
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• v.19 no.6
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• pp.73-83
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• 2008

We explore what factors influence the residential choice and mobility of people, and try to figure out the preferable residential district in Deagu. Household, housing characteristics, and neighborhood environments are considered as explanatory variables to predict the residential choice and the preferable residential district, and logit regression is used for the analysis. We found age, ownership, income, property, and education level as household characteristics, building age as housing characteristics, and accessibility to park and open space, public library and shopping mall as neighborhood environments are significant in determining residential choice of people whereas housing size, accessibility to elementary school, local market, cultural facility and gymnasium are not significant. These results imply people choose the residential district according to household characteristics as they did, as well as choose according to housing characteristics and neighborhood environments which are newly issued factors.

• Korean Journal of Organic Agriculture
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• v.18 no.2
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• pp.113-134
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• 2010

The purpose of the study is to investigate factors influencing the adoption of environment-friendly agriculture in greenhouse vegetable production of Jeonnam province. An interview survey were conducted during 2008, including six counties: Gwansanku of Gwangju, Gwangyang, Goheung, Damyang, Boseong, and Suncheon. Major crops grown in surveyed area were green peppers, cucumbers, strawberries, cherry tomatoes, tomatoes, and watermelons. Logit model results show that adopters of environment-friendly agriculture are more likely to participate in extensional education programs, attend educational programs on environment-friendly agriculture, have greater cultivated acreage, and have larger agriculture-only-designated farmland. However the adopters are less likely to have greater number of family members participating in farming, and live Goheung county. Efforts should be made in extensional education programs to lead more vegetable growers to adopt environment-friendly agriculture. Policy makers' additional efforts should be followed to increase adoption rate of environment-friendly agriculture in lower adopted areas.

• 한국ITS학회:학술대회논문집
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• 2010.05a
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• pp.196-203
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• 2010

• Journal of Korean Society of Transportation
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• v.19 no.3
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• pp.19-32
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• 2001

A parking facility choice model. which can be applied to analyze of the driver's parking behavioral changes in response to the local government's parking policy changes and to predict parking demand by the facility types, is developed. Under the context of the stated preference discrete choice model, socioeconomic variables and parking alternative characteristic variables are introduced as explanatory variables. A parking facility choice model for the shopping trip purpose is derived using multinomial logit model and nested logit model and the stated preference data collected in Taegu metropolitan area. The result shows that the sign of all the estimated parameters are logically consistent and the model's goodness of fit is reasonably good. As a result of the elasticity analysis of the model, the elasticity of parking cost is highest, and the elasticity of walking distance between parking place and the destination is higher than parking place searching and ingress time. This means that the parking places are supplied around the destination in the form of small-size parking place. The findings in this study is expected to provide a fundamental data for various short-term parking policy analyses and for parking facility's demand estimations.

• Journal of Animal Environmental Science
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• v.16 no.1
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• pp.29-40
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• 2010

The purpose of the study is to review current studies for economic values on livestock products produced by animal welfare. In order to review the topic, published research papers and reports were reviewed in the world. As the result of the study, the studies for the topic are not researched actively. The main ideas for the studies were consumer survey on meats and egg. Data were questionnaire, Lexis-Nexis databases, consumptions and prices on meats, auction data. Tools for analyses were Random parameters logit and latent class model, WTP analysis, Roterdam model, Pearson's Chi test, Mann-Whitney V-test, Kruskal-Wallis test, structural equation model, regression model, Target-costing, and conjoint analysis.

• Journal of Korean Society of Transportation
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• v.30 no.1
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• pp.7-18
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• 2012

This study suggested a method of forecasting market-share of each mode after introducing new urban rail transit lines. The study reflected the observed market share of presently operating urban rail transit into forecasting process in order to improve accuracy in predicting market share of each modes. For more realistic representation of the forecasting model, we categorized O/D pairs according to attributes of trip distance, access time and number of transfers. The analysis results of traveler's mode choice behavior with observed data showed that the trip distances are longer, the share of urban rail tends to be higher, and that the number of transfers is fewer and the access times are lesser, the share of urban rail also tends to be higher. Then, incremental logit model was used in estimating mode choice probabilities for O/D pairs along with rail transit lines while utilizing observed market shares of each modes and differences in transit service level. As the next step, the market share of rail transit after introducing new rail transit lines was forecasted by using incremental logit model with the intial share values calculated the previous analysis step. It also reflected changes in level of service for automobile in highway due to changes in highway systems and changes in mode shares after introducing new lines of rail transit. It can be expected that the proposed method would more realistically duplicates phenomena of mode choice behavior for rail transit and that it would be more theoretically logical than the typical existing methods using SP data and incremental logit model or using addictive logit model in this country.

• Journal of Korean Society of Transportation
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• v.18 no.1
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• pp.27-34
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• 2000

This study analyzes the price elasticities of airline Passenger demand through the 'Stated Preference' technique which uses survey data. Because the domestic airfare has been regulated by the government. it is not easy to derive Price elasticity through the usual regression analysis with aggregate data and thus a special methodology is required for elasticity estimation. Therefore, in this study we estimated the Price elasticities of domestic air passenger demand and the modal share change rates to the alternative modes with logit model and sample enumeration method, by analyzing the survey data on air Passengers' demand behavior about the mode choice between air-rail. air-bus, and air-car. As the results, the estimated price elasticities are in the range of -0.6~-0.9, and rail is mainly chosen as an alternative mode. bus is chosen Partly, and car is barely used.