• Journal of Climate Change Research
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• v.5 no.1
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• pp.37-46
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• 2014

The purpose of this study is to analyze the determinants affecting Korean farmers' perception to climate change using multinomial logit and ordered logit model. The major findings of this study are summarized as follows. First, the results indicate that 85.7 percent of farmers have perceived climate change and 85.8 percent of farmers have anticipated that the impact of climate change on agriculture within 10 years. Second, the results show that farming experience, successor to farming, use of computer have a significant impact on expectation to climate change. Finally, the findings also indicate that sex, age, and education have a significant impact on expectation of the mean temperature to climate change.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.4
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• pp.421-442
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• 2023

This research focuses on the fact that the characteristics of migration types of the youth in non-metropolitan areas vary by region and has the primary objective of comparing and analyzing the differences in determinants of each migration type. First, An exploratory analysis of the migration status and characteristics of the youth in non-metropolitan areas was conducted, and then a hierarchical logit model was used to estimate the determinants of migration types separately. The results showed that the characteristics of migration types vary by region, and each determinant of migration types is composed of different bundles of variables(individual and regional levels). In the future, policies aimed at securing young workforce in non-metropolitan areas will be more effective when they take into account various determinants of migration choices and reflect the regional context.

• Asia Marketing Journal
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• v.15 no.4
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• pp.33-49
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• 2014

Environmental concern has been an important issue for a few decades, and the extent of consumer demand for eco-friendly consumption has been increased. This study seeks to investigate consumers' willingness to pay (WTP) a premium for eco-friendly cosmetics. This study evaluates how much more a consumer is willing to pay for eco-friendly cosmetics and examines significant factors influencing consumers' WTP for eco-friendly cosmetics. Consumers' WTP is measured using four different ecofriendly cosmetics: low-priced skin care cosmetics, low-priced makeup cosmetics, high-priced skin care cosmetics, and high-priced makeup cosmetics. This study uses the contingent valuation method (CVM) to estimate consumer's WTP for eco-friendly cosmetics. Survey questions were designed using both dichotomous choice and payment card method of CVM. Through face to face interviews and on-line surveys, the data were collected from women between 20 and 49 years old residing in Seoul and Kyeonggi area, Korea, in May 2010. A total of 226 questionnaires (132 from interviews and 94 from on-line) were included for the analytical sample in this study. The data were analyzed using descriptive analysis, T-test and Log-Logit analysis. The findings are as follows: First, the WTP measured by dichotomous choice method was estimated using the Log-Logit analysis. The results showed that the estimated WTP for low-priced skin care cosmetics was 19,152 won, which was 27.7% higher than the reference price, 15,000 won. For low-priced makeup cosmetics, the estimated WTP was 18,524 won, and its green premium was 21.0%. The estimated WTP for high-priced skin care cosmetics was 59,128 won, which was 18.3% higher than the reference price, 50,000 won. For high-priced makeup cosmetics was 57,666 won, and its green premium was 15.3%. Second, the WTP measure by payment card method was estimated using descriptive analysis. The results showed that the respondents were willing to pay 17,955 won for low-priced skin care cosmetics, which was 19.7% higher than the reference price, 15,000 won and 17,595 won for low-priced makeup cosmetics, which was 17.3% higher than the reference price. For high-priced skin care cosmetics, the average WTP was 56,950 won which was 13.9% higher than the reference price, 50,000 won. For high-priced makeup cosmetics, the average WTP was 55,650 won, which was 11.3% higher than the reference price. Overall, the WTP was higher in order of low-priced skin care, low-priced makeup, high-priced skin care, and high-priced makeup. It means that consumers decide degree of premium based on the price and the attributes of eco-friendly products. Third, the findings showed that age, monthly income, and having children or not were statistically significant factors that influenced consumers' willingness to pay for eco-friendly cosmetics. Other explanatory variables such as education, marital status, job, purchase experience of eco-friendly products, and environmental concerns did not show any statistical significance. The major contribution of this study is the investigation of the value of green attributes of the products by using CVM. Unlike most previous researches, this research used two methods of CVM, the dichotomous choice and the payment card, so it enhanced the reliability of research. According to this study, consumers showed price sensitivity when they pay green premium. These findings can be used as useful information to establish marketing strategies for green cosmetics.

• Journal of Global Scholars of Marketing Science
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• v.18 no.1
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• pp.141-156
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• 2008

Market structure analysis is a very useful tool to analyze the competition boundary of the brand or the company. But most of the studies in market structure analysis, the concern lies in nondurable goods such as candies, soft drink and etc. because of the their availability of the data. In the field of durable goods, the limitation of the data availability and the repurchase time period constrain the study. In the analysis of the automobile market, those of views might be more persuasive. The purpose of this study is to analyze the structure of automobile market based on some idea suggested by prior studies. Usually the buyers of the automobile tend to buy upper tier when they buy in the next time. That kind of behavior make it impossible to analyze the structure of automobile market under the level of automobile model. For that reason I tried to analyze the market structure in the brand or company level. In this study, consideration data was used for market structure analysis. The reasons why we used the consideration data are summarized as following. Firstly, as the repurchase time cycle is too long, brand switching data which is used for the market analysis of nondurable good is not avaliable. Secondly, as we mentioned, the buyers of the automobile tend to buy upper tier when they buy in the next time. We used survey data collected in the U.S.A. market in the year of 2005 through questionaire. The sample size was 8,291. The number of brand analyzed in this study was 9 among 37 which was being sold in U.S.A. market. Their market share was around 50%. The brands considered were BMW, Chevrolet, Chrysler, Dodge, Ford, Honda, Mercedes, and Toyota. �� ratio was derived from frequency of the consideration set. Actually the frequency is different from the brand switch concept. In this study to compute the �� ratio, the frequency of the consideration set was used like a frequency of brand switch for convenience. The study can be divided into 2 steps. The first step is to build hypothetical market structures. The second step is to choose the best structure based on the hypothetical market structures, Usually logit analysis is used for the choice best structure. In this study we built 3 hypothetical market structure. They are type-cost, cost-type, and unstructured. We classified the automobile into 5 types, sedan, SUV(Sport Utility Vehicle), Pickup, Mini Van, and Full-size Van. As for purchasing cost, we classified it 2 groups based on the median value. The median value was $28,800. To decide best structure among them, maximum likelihood test was used. Resulting from market structure analysis, we find that the automobile market of USA is hierarchically structured in the form of 'automobile type - purchasing cost'. That is, result showed that automobile buyers considered function or usage first and purchasing cost next. This study has some limitations in the analysis level and variable selection. First, in this study only type of the automobile and purchasing cost were as attributes considered for purchase. Considering other attributes is very needful. Because of the attributes considered, only 3 hypothetical structure could be analyzed. Second, due to the data, brand level analysis was tried. But model level analysis would be better because automobile buyers consider model not brand. To conduct model level study more cases should be obtained. That is for acquiring the better practical meaning, brand level analysis should be conducted when we consider the actual competition which occurred in the real market. Third, the variable selection for building nested logit model was very limited to some avaliable data. In spite of those limitations, the importance of this study lies in the trial of market structure analysis of durable good.

• Journal of Preventive Medicine and Public Health
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• v.32 no.2
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• pp.215-227
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• 1999

Objectives: To investigate compliance of hypertension patients using modified Theory of Reasoned Action(TRA). Methods: The data were collected for 7-12 April 1997, by interviewing 190 Hypertension patients in Hwachon, Kangwon-do. The analytical techniques employed include contingency table analysis and logit analysis. Results: 15.1% of patients were unaware of the fact that he/she has hypertension and 11.2% did not know that he/she should take drug. 20.8% of patients took drug continuously, 20.1% had drug intermittently, and 53.1% had never have treatment. In the contingency table analysis, several variables were found to be significantly related to patient compliance. They included variables for attitude towards the consequences of taking drugs, normative beliefs, systolic BP at the enrollment, knowledge of how to take hypertensive drugs, variables for general health behavior and experience with having health worker's home visit. The logit analysis was performed by two steps. first step uses experience with drug treatment of hypertension as the dependent variable, and second step uses continuity of treatment. Included in the predictors that are significantly related to the former analysis are subjected norms produced by combining normative beliefs and motivation to comply, knowledge of how to take hypertensive drugs, and opinion about natural recovery of diseases. The only significant determinant of continuous treatment was knowledge of how to take hypertensive drugs. Conclusions: The results of analysis suggest the usefulness of TRA as a framework for the study of compliance of hypertensive patients. The findings have some practical implication as well. One is that efforts for enhancing compliance should be directed not only patients but also to other persons influencing patient's attitude and behavior. It also suggest that correct understanding of hypertension treatment is essential to perform the appropriate patient role.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.264-297
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• 2006

In this paper, we attempt to analyze consumer preference for the alternative-fuel vehicles based on data from a stated preference using the conjoint analysis. Five possible fuel types (gasoline, diesel, CNG, LPG, Hybrid (electricity+gasoline)) are covered in conjoint cards. To estimate and analyze consumer preference, discrete choice model is used. Specifically, Bayesian mixed logit model is used. Based on estimating results, we discuss the business strategy and policy for the alternative fuel vehicle.

• Korean Journal of Human Ecology
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• v.7 no.2
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• pp.115-126
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• 2004

The purpose of this study was to examine the influential variables of participation toward voluntary activities of elderly women's. For this purpose, the data collected 312 women's elderly in Jinju city. Statistics employed for the analysis were frequencies, logit regression and multiple regression analysis. The major results of this study were as follows; In participation intention toward voluntary activities for women's elderly, the variables which influence were job, state of health, level of life, need of voluntary activities, and satisfaction of voluntary activities in the past.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.1
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• pp.68-82
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• 2016

Destination choice analysis is an important issue of transportation demand research. The current study analyses the influential factors for university students' trip destination choice. The university students differ from other population groups in many aspects. The study is concerned with shopping, leisure and amusement purposes of trips, other than obligatory trips such as going to school. University students' daily life differs from those of employees and middle and high school students in the sense that a lot of flexible activities are mixed with fixed activities such as work and school attending. A multinomial logit analysis investigates the significance of the impact of a set of variables including residential location, gender and income of the university student. The results show that these variables affect the destination choice of shopping, leisure and amusement. The analysis also provides interesting interpretation of the relationships of the variables with the location choices, which are particularly relevant to the university students.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1345-1365
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• 2018

Following principal-agent relationship between government and funding agency effects on efficiency and management of project, this paper suppose that project management cost rate variable on outsourcing and administration of institution, applies multiple regression analysis and logit analysis by using factors that procurement status of institutional operating expenses and each subordinates scale (Budget, subject number) and method (Top-down/Bottom-up), not a total amount, for examining factors following project efficiency analysis and way of commission. The major variables which effect on efficiency of institution are management cost scale (0.36), institutional operating expenses ratio (-0.47), way of outsourcing, the factors that affect way of outsourcing are portion of project management cost (-38.5) and institutional operating expenses rate (-11.7). This means both legal and financial stability are necessary and it is avoidable moral hazard and adverse selection on principal-agent problem.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.18-26
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• 2018

This study aims to examine the causality between socio-economic factors and Donate Behaviour. With the 10 years data in Korea Welfare Panel and Panal logit analysis, the analysis has done on the basis of household and sampled 134,500 data. The results of this research as follows: First, in demographic variables, women revealed as they donate more than men(${\beta}=.223$, p<.05). And the more the age grows, the less they donate or volunteer periodically(${\beta}=-.009$, p<.001). Second, in working conditions, paid workers showed less donate behavior than self-employment workers and economically inactive population(${\beta}=-.578$, p<.001). Third, Self-esteem(${\beta}=1.673$, p<.001)and Life satisfaction(${\beta}=1.01$, p<.001) showed significant effect on donate behavior. Lastly, scholarship of father(${\beta}=.211$, p<.001) revealed as significant on donate behavior. However, scholarship of mother did not showed significant effect. Also, the research had some limitations. First, the precision of the variables were not tested. Second, some variables to analyze were not in the data. Therefore, proper considerations on testing the precision of the variables and the method for measuring the missed variables are needed.