Analysis of Chinese Consumer Preference of Country of Origin for Apples based on National Organic Certification (사과의 국가별 유기인증 결합에 대한 중국 소비자 선호분석)
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- Current Research on Agriculture and Life Sciences
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- v.32 no.4
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- pp.225-230
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- 2014
This study investigates the effect of organic certification of apples on consumer preference in China as a way to support the expanded export of Korean apples to China. A choice experiment was designed to analyze the apple consumption in China. A total of 298 Chinese consumers answered the survey, and multinomial logit models were used to analyze the results. Organic certification was identified as an important determinant of consumer preference for apples in China, affecting both the evaluation and choice of country of origin. The results also indicated that Korean organic certification significantly increased the probability of Chinese consumers choosing Korean apples. Thus, organic certification by the Korean government should be strengthened to promote apple exports to China, plus the results of this study may provide useful information to promote agricultural product exports and improve the organic certification system.
In both deteministic user Optimal Traffic Assignment Model (UOTAM) and stochastic UOTAM, travel time, which is a major ccriterion for traffic loading over transportation network, is defined by the sum of link travel time and turn delay at intersections. In this assignment method, drivers actual route perception processes and choice behaviors, which can become main explanatory factors, are not sufficiently considered: therefore may result in biased traffic loading. Even though there have been some efforts in Stochastic UOTAM for reflecting drivers' route perception cost by assuming cumulative distribution function of link travel time, it has not been fundamental fruitions, but some trials based on the unreasonable assumptions of Probit model of truncated travel time distribution function and Logit model of independency of inter-link congestion. The critical reason why deterministic UOTAM have not been able to reflect route perception cost is that the route perception cost has each different value according to each origin, destination, and path connection the origin and destination. Therefore in order to find the optimum route between OD pair, route enumeration problem that all routes connecting an OD pair must be compared is encountered, and it is the critical reason causing computational failure because uncountable number of path may be enumerated as the scale of transportation network become bigger. The purpose of this study is to propose a method to enable UOTAM to reflect route perception cost without route enumeration between an O-D pair. For this purpose, this study defines a link as a least definition of path. Thus since each link can be treated as a path, in two links searching process of the link label based optimum path algorithm, the route enumeration between OD pair can be reduced the scale of finding optimum path to all links. The computational burden of this method is no more than link label based optimum path algorithm. Each different perception cost is embedded as a quantitative value generated by comparing the sub-path from the origin to the searching link and the searched link.
This study targets the urban park corresponding to the core areas (Hubs) of Green Infrastructure and estimates their value utilizing the Contingent Valuation Method (CVM) and determines the planning factors which affect them. The research aims to provide basic data for supporting the value improvement in the planning stage for urban parks representing green infrastructure. The primary purpose of this research is to derive variables that affect economic value and planning factors to improve the use-value of urban parks, one of the Hubs of the green infrastructure. In this study, Sejong Lake Park, located in Sejong City, is the target site. This study collected the responses of 105 people by conducting a survey on the intention to pay for the use-value and the planning factors that affect it, targeting visitors to Sejong Lake Park. The study conducts Contingent Valuation Method (CVM) on this survey responses. The results are as follows: first, as a result of analyzing the variables which affect willingness to pay for use-value, residence and age influence the willingness to pay significantly among socioeconomic characteristics. Next, the survey responses of Double-bounded dichotomous choices (DB-DC) CVM are converted into variables through statistic techniques. Furthermore, the variables are used for a Logit model to draw coefficients. The average willingness to pay per person for the use-value of Sejong Lake Park using the derived coefficients was approximately found to be 8,597 won. Therefore, as of 2019, Sejong Lake Park, with a total of 430,000 visitors, is estimated to have an annual economic value of 3.7 billion won. Third, the average Likert scale of the planning factor affecting the decision to pay for the economic value of Sejong Lake Park was the highest along the waterfront landscape, and the convenience facilities and waterfront landscape showed the highest willingness to pay, 10,000 won. In the range between 2,500 won and 5,000 won, the waterfront area ranks highest. Therefore, it can be said that visitors to Sejong Lake Park take account of the economic value of using the waterfront landscape the most. This study is meaningful as a thesis on use-value and the planning factors that affected value evaluation results of urban parks, and the analysis of the correlation between the planning factors of urban parks as hubs located in urban areas.
Background: This study aims to identify the factors that influence the incidence of catastrophic health expenditure (CHE) for the elderly living alone and to discuss how to manage CHE for the elderly living alone. Methods: This study utilizes 6th (2016), 7th (2018), and 8th (2020) data from the Korean Longitudinal Study of Aging to identify the incidence rate of CHE among the elderly living alone and conducts a panel logit analysis. The dependent variable is the incidence of CHE (thresholds: 10%, 20%, 30%), and the independent variables include demographic factors (gender, age group, region), socioeconomic factors (education level, economic activity status, income quintile, financial support rate from children), health-related factors (subjective health status, regular exercise, smoking, drinking, number of chronic diseases), and healthcare coverage factors (type of health insurance, private health insurance). Results: Descriptive statistics classified by gender show that female elderly living alone are more vulnerable than male elderly living alone in terms of disease prevalence and socioeconomic status. In addition, the incidence of CHE is higher for elderly women living alone than for elderly men living alone across all thresholds. The main results of the panel logit analysis show that higher education, income quintile, and financial support rate from children are associated with lower odds of CHE, while poorer subjective health and a higher number of chronic diseases are associated with higher odds of CHE. Medical aid recipients are less likely to incur CHE than those covered by national health insurance. Conclusion: The implications of this study are as follows. First, vulnerable elderly living alone with multiple chronic diseases and low income and education levels are more likely to incur CHE. Second, it is necessary to review policies such as a CHE support program and chronic disease management programs focused on vulnerable elderly individuals living alone. Third, the CHE support program should be operated in a patient-centered manner, with consideration given to a customized system for selecting and supporting elderly individuals living alone who are in need.
Overview of Research: Product availability is one of important competences of store to fulfill consumer needs. If stock-outs which means a product what consumer wants to buy is not available occurs, consumer will face decision-making uncertainty that leads to consumer's negative responses such as consumer dissatisfaction on store. Stockouts was much studied in the field of academia as well as practice in other countries. However, stock-outs has not been researched at all in Marketing and/or Distribution area in Korea. The main objectives of this study are to find out determinants of consumer responses such as Substitute, Delay, and Leave(SDL) when consumer encounters out-of-stock situation and then to examine the effects of these factors on consumer responses. Specifically, this study focuses on situational characteristics(e.g., purchase urgency and surprise), store characteristics (e.g., product assortment and store convenience), and consumer characteristics (e.g., brand loyalty and store loyalty). Then, this study empirically investigates relationships these factors with consumers behaviors such as product substitution, purchase delay, and store switching.
Background : Erdosteine is a thiol derivative developed for the treatement of chronic obstructive bronchitis, including acute infective exacerbation of chronic bronchitis. Erdosteine has mucomodulating and antioxidant properties and especially exhibits excellent gastrointestinal tolerability. Methods : The study was conducted as a prospective evaluation, with 2 comparative groups orally treated with erdosteine 300mg (bid.) or ambroxol 30mg (b.i.d.) for 7 days and the design of trial was double-blind. The treatments have been assigned randomly to patients (n=80) with acute or chronic bronchitis. The primary end-point used to determine efficacy in this study was subjective symptoms including expectorating frequence, expectoration volume, expectorating difficulty, expectoration viscosity, cough intensity and dyspnea. The secondary end-points of efficacy was the result of arterial blood gas analysis and pulmonary function test. Safety was evaluated with adverse drug reactions and laboratory tests monitoring. 61 patients was included in the efficacy analysis, due to the fact that 19 patients drop-out for different reasons. The obtained values have been analyzed with paired Hest., ANOVA test., multivariate
Although the wine industry continues to grow, little empirical research on consumer preferences has been conducted. Thus, our objective was to analyze consumer views on wine attributes. A choice experiment (CE) was designed to detect a marginal willingness to pay for particular characteristics of wine (balance, flavor, color, clarity, and value-for-money). A questionnaire was administered and 286 responses were received. A multinomial logit model was estimated using the maximum likelihood method. The results indicated that balance, flavor, color, clarity, and price were all important to consumers. The CE data revealed that estimates of marginal willingness to pay were 31,899 won/bottle for balance, 23,088 won/bottle for flavor, 3,230 won/bottle for color, and 25,936 won/bottle for clarity. The balance of a wine was most important, and the flavor, clarity, and color were also significant. The results of this work will be of assistance in promoting the domestic wine industry.
The purpose of this study was to determine the effect of aquatic ramp walking exercise on the activity of the quadriceps, gait and activity of daily living in child with Spinal Muscular Atrophy (SMA) type II. A 5 years-old girl with SMA type II participated in this study. This study used single-subject reverse(A-B-A) design study. There are 12 sessions(4weeks 3 times a week) each during the baseline phase(A), the intervention phase(B), the follow up phase(A). During the baseline phase and the follow up phase performed general aquatic therapy, the intervention phase additional performed walking activity on ramp in pool (60m). Surface electromyogram, Timed Up and Go (TUG) test, ACTIVLIM were used as outcome. During the intervention phase, there were decrease on the activity of the quadriceps. In modified TUG test, gait time reduced during the intervention phase. The ACTIVLIM logit score increased during intervention phase by comparison with the baseline phase. These findings suggest that an aquatic ramp walking exercise activities have the therapeutic possibility on the quadriceps activity and gait ability for child with SMA type II.
In medical research, multivariate analysis, especially multiple regression analysis, is used to analyze the influence of multiple variables on the result. Multiple regression analysis should include variables in the model and the problem of multi-collinearity as there are many variables as well as the basic assumption of regression analysis. The multiple regression model is expressed as the coefficient of determination,
This study's purpose is to analyse factors of determination about detouring for makinga standard model in regard of unfavorableness and uncertainty when unspecified individual recipients make a decision at the time of course detour. In order to achieve this, we surveyed SP investigation whether making a detour or not for drivers as a target who take a high way and National highway. Based on this result, we analysed detour determination factors of drivers, establishing a combination model of Decision Tree and Neural Network model. The result demonstrates the effected factors on drivers' detour determination are in ordering of the recognition of alternative routevs, reliable and frequency of using traffic information, frequency of transition routes and age. Moreover, from the outcome in comparison with an existing model and prediction through undistributed data, the rate of combination model 8.7% illustrates the most predictable way in contrast with logit model 12.8%, and Individual Model of Decision Tree 13.8% which are existed. This reveals that the analysis of drivers' detour determination factors is valid to apply. Hence, overall study considers as a practical foundation to make effective detour strategies for increasing the utility of route networking and dispersion in the volume of traffic from now on.
shows the research model of this study. To accomplish above-mentioned research objectives, the following ten hypotheses were proposed and verified : is the estimation results of l\1NL model, and
shows the marginal effects for each determinant to consumer's responses(SDL). Significant statistical results were as follows. Purchase urgency, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty were turned out to be significant determinants to influence consumer alternative behaviors in case of out-of-stock situation. Specifically, first, product substitution behavior was triggered by purchase urgency, surprise, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty. Second, purchase delay behavior was led by purchase urgency, purchase quantities, and brand loyalty. Third, store switching behavior was influenced by purchase urgency, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty. Finally, when out-of-stock situation occurs, store convenience and salesperson service did not have significant effects on consumer alternative responses.
Clinical Efficacy of Erdosteine in Patients with Acute or Chronic Bronchitis -A Randomized, Double Blind, Comparative Study vs. Ambroxol-
(급.만성 기관지염 환자에서 엘도스
Analysis of Consumer Preferences for Wine
(국산 포도주 개발을 위한 소비자 선호분석)
Effect of Aquatic Ramp Exercise on Gait And Activity Of Daily Living In Child With Spinal Muscular Atrophy Type II: Single Subject Research
(수중 경사로 보행 훈련이 제2형 척수성근위축증 아동의 보행 및 일상생활동작에 미치는 효과: 개별실험연구)
Multivariate Analysis for Clinicians
(임상의를 위한 다변량 분석의 실제)
Drivers Detour Decision Factor Analysis with Combined Method of Decision Tree and Neural Network Algorithm
(의사결정나무와 신경망 모형 결합에 의한 운전자 우회결정요인 분석)
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