• Title/Summary/Keyword: ordered logistic regression analysis

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Can Renewable Energy Replace Nuclear Power in Korea? An Economic Valuation Analysis

  • Park, Soo-Ho;Jung, Woo-Jin;Kim, Tae-Hwan;Lee, Sang-Yong Tom
    • Nuclear Engineering and Technology
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    • v.48 no.2
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    • pp.559-571
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    • 2016
  • This paper studies the feasibility of renewable energy as a substitute for nuclear and energy by considering Korean customers' willingness to pay (WTP). For this analysis, we use the contingent valuation method to estimate the WTP of renewable energy, and then estimate its value using ordered logistic regression. To replace nuclear power and fossil energy with renewable energy in Korea, an average household is willing to pay an additional 102,388 Korean Won (KRW) per month (approx. US $85). Therefore, the yearly economic value of renewable energy in Korea is about 19.3 trillion KRW (approx. US $16.1 billion). Considering that power generation with only renewable energy would cost an additional 35 trillion KRW per year, it is economically infeasible for renewable energy to be the sole method of low-carbon energy generation in Korea.

Risk Factors Associated with Medication Adherence in HIV/AIDS Patients (한국인 HIV/AIDS 환자의 복약순응도에 미치는 위험 인자 연구)

  • Kyung Sun Oh;Jin-soo Lee;Euna Han
    • Korean Journal of Clinical Pharmacy
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    • v.33 no.4
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    • pp.254-260
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    • 2023
  • Background: Adherence to antiretroviral treatment (ART) is crucial for maintaining the HIV-RNA suppression in patients living with HIV/AIDS. This study aims to analyze the risk factors contributing to low medication adherence among individuals with HIV/AIDS by analyzing data from the Korean HIV/AIDS cohort study. Methods: The dependent variable is ART medication adherence. The depressive symptom and anxiety scores were collected as main independence variables. Covariates included gender, age, transmission route, alcohol and smoking information, and antiviral treatment regimen details. To predict the relationship between ordinal dependent variables and independent variables, an ordered logistic regression analysis was conducted, and odds ratios (OR) were calculated. Results: The results of the ordered logistic regression analysis showed that female was associated with a higher risk of low medication adherence (OR=2.91, 95% CI=1.08, 7.83). Among the subjects who were non-smokers and non-drinkers, the risk of low medication adherence was lower (OR=0.36, 95% CI=0.18, 0.70). Depending on the ART treatment group, individuals taking integrase inhibitor had a lower risk of medication adherence (OR=0.31, 95% CI=0.13, 0.76), and those experiencing depressive symptoms were related with a higher risk of low medication adherence (OR=1.97, 95% CI=1.12, 3.46). Conclusions: The encouragement and emotional support of healthcare professionals are essential for patients living with HIV/AIDS who experience depressive symptoms to maintain ART adherence. Additionally, further research is needed to ensure that HIV/AIDS infected female with concurrent depressive symptoms can achieve appropriate ART therapeutic effect.

Analysis of Residential Environment Satisfaction and Residential Preference in Daegu Downtown (대구 도심의 주거환경만족도와 거주의향 분석)

  • Song, Heung-Soo;Im, Jun-Hong;Kim, Han-Soo
    • Journal of the Korean housing association
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    • v.26 no.5
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    • pp.133-141
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    • 2015
  • As an empirical study on Daegu Downtown showing decentralization phenomenon, the purpose of this study is, based on the residential satisfaction research targeting the Downtown residents, to analyze the residential environment satisfaction and residential preference. Considering the parameters of measurement, we used the Ordered Logit Model and Logistic Regression. The results are as follows: First, the comprehensive residential environment satisfaction is relatively lower than that in 2008 and the residential preference in Downtown is similar to that of the past. Second, among the 7 factors that constitute the Downtown residential environment, the house, the landscape, and the security have a relatively large influence on the comprehensive residential environment satisfaction. Third, the residential environment factors which affect those who are hoping continuous Downtown residence are the safety, the house and the complex.

The Cognitive and Economic Value of a Nuclear Power Plant in Korea

  • Lim, Gil-Hwan;Jung, Woo-Jin;Kim, Tae-Hwan;Lee, Sang-Yong Tom
    • Nuclear Engineering and Technology
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    • v.49 no.3
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    • pp.609-620
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    • 2017
  • We studied the value of a nuclear power plant by considering Koreans' willingness to pay (WTP) for neutralizing the various problems caused by building and operating a new plant. For this, we used a conjoint analysis and ordered logistic regression. We then compared the WTP estimates between various segment groups. The results revealed that each household was willing to pay an additional 99,677 Korean Won (KRW)/mo on average to resolve the negative impacts from a nuclear plant. Therefore, the yearly cognitive and economic value of a nuclear plant in Korea was about 19 trillion KRW. Through a segment analysis, we found that the more educated, younger, and poorer groups gave higher cognitive values than the less educated, older, and richer groups, respectively. Also, people who lived far from a plant gave higher values than people living near a plant, and people with more knowledge about or interest in nuclear energy gave higher values than people with less knowledge or interest. People who felt that nuclear energy is necessary gave higher values to nuclear energy than those who did not. Our results can be used as bases to set targets for promoting nuclear energy and pursuing a national project of building a nuclear power plant.

Analysis of online food purchasing behavior: a study of Sri Lankan consumers

  • Piyumi Wijesinghe;Shashika D. Rathnayaka;Niranga Bandara;Jung Min Heo;Dinesh D. Jayasena
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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    • pp.927-940
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    • 2023
  • Online shopping has been undergoing significant developments in the South Asian region in the last decade. Using a representative sample of Sri Lankan consumers, this study explored online food purchasing behavior in Sri Lanka, a developing nation and island in South Asia. Data were collected from 562 respondents from all nine provinces in Sri Lanka using an online survey. Consumer attitudes were evaluated using factor analysis, and factor scores were added as explanatory variables to the final model. An ordered logistic regression model was used to examine the impact of consumer demographics, economic variables, and consumer attitudes on online food purchases. Online food purchasing intensity was categorized into four groups that suited ordinal rankings: zero for never, low for rarely, medium for occasionally, and high for regularly. Results indicated that age, income, education, and living in urban areas affect the online food purchasing behavior of Sri Lankan consumers. In addition, trust, convenience, and attitudes toward price were powerful drivers of online food purchasing. The findings have a number of significant managerial ramifications for creating strategies to promote online food purchases in developing South Asian nations like Sri Lanka. Moreover, promoting online shopping could be a potential solution for traffic congestion, ultimately helping to mitigate the negative externalities associated with it, such as carbon emissions and air pollution.

Effect of Component Factors of Innovation Clusters on the Corporate Business Activity: The Moderating Effect of Financial Support

  • Im, Jongbin;Chung, Sunyang
    • World Technopolis Review
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    • v.4 no.3
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    • pp.144-156
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    • 2015
  • Globalization and knowledge-based economy have increased the importance of local areas as the units of global competition. Therefore, the meaning of localities has been emphasized as the core value of economic activities. In this context, innovation cluster has been recognised and emphasized as effective policy measure for innovation. Therefore, most countries have been trying to develop innovation clusters with their expectation for a rapid growth of economy. Nevertheless, there have been minimal empirical researches on innovation cluster. Therefore, for suggesting implications that activation factors of innovation cluster are to have an effect on tenant's business activities, this study conducted a literature review for the theories of regional innovation system(RIS) and innovation cluster. As a result, the activation factors of innovation cluster were classified into institutional, physicals, and social factor. The case of Gyeonggi province's innovation cluster policy was examined for an empirical analysis. Data were analyzed using ordered logistic regression. The results were as follows:First, Institutional and Infra factors had a positive influence on firms' business activities in every empirical test, so they were the most important activation factors of innovation cluster. Second, regarding the interactive effects of financial support, the interactive effects between financial support and Infra factor had a positive influence on the firms' business activities, according to the result of the empirical test.

Analysis of Multicategory Responses with Logit Model on Earlyold Age Pension

  • Kim, Mi-Jung
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.3
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    • pp.735-749
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    • 2008
  • This article suggests application of logit model for analysis of multicategory responses. Referring to the reference category, characteristic of each category is obtained from analysis of polytomous logit model. With National Pension data it is illustrated that application of logit model helps it possible to find significant factors which may not be found only with polytomous logit model. Application of the logit model is done by reducing the number of categories. Categories are grouped into the former and the latter group according to reference category. Extra finding of significant factor was possible from logistic regression analysis for the two groups after removing the reference category. It is expected that this application would be helpful for finding information and characteristics on ordered multicategory responses where the proportional odds model does not fit.

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Analysis on the Satisfaction Factors of Housing Performance and Residential Environment of Public Housing in Seoul (서울시 공공임대주택 주택성능과 주거환경 만족도에 미치는 영향요인)

  • Sung, Jin-Uk;Nam, Jin
    • Journal of Korea Planning Association
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    • v.54 no.3
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    • pp.49-62
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    • 2019
  • In order to balance with supply policy, public housing management and operation policies have been implemented in terms of housing welfare, but citizens have not yet achieved the results that the citizens are experiencing. The purpose of this study is to analysis the residential satisfaction of the including the housing performance through the characteristics of the public housing residents in Seoul. The data used in this study is based on the survey data of public housing panel survey in Seoul (2016). The study method used ordered logistic regression analysis based on the fact that dependent variables appeared as ordered responses. Major research results are as follows. Firstly, housing performance and residential satisfaction may not match. Even though the satisfaction of housing area, type, and management fee is high, satisfaction with residential environment is low if commuting distance, the number of small libraries, and hospitals are small. Secondly, it showed different characteristics of residential environment factors among types of public housing. Rather than focusing on supply, customized supply is needed considering characteristics of public housing types. Thirdly, the policy for public housing needs to be realized by a fair policy on the residential environment. It is necessary to contribute to better housing stability as a customized policy considering the local residential environment.

Effect of Patient's Satisfaction with Pharmacist's Medication Counseling on Medication Compliance Among Outpatients (복약지도 만족도가 복약순응도에 미치는 영향 : 외래환자를 대상으로)

  • Heo, Jae-Heon;Kim, Su-Jin;Kim, Joo-Hyek;Huh, Soon-Im
    • Korean Journal of Clinical Pharmacy
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    • v.19 no.2
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    • pp.110-119
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    • 2009
  • Medication compliance is essential to improve person's health status through pharmacotherapy. Since separation of dispensing and prescription has been implemented, the importance of pharmacist's role on medication counseling have been emphasized, especially among outpatients. The objective of this study is to investigate the effect of patient's satisfaction with pharmacist's medication counseling on medication compliance among outpatients. We used the 2005 Korea National Health and Nutrition Survey data to examine medication compliance of persons who visited pharmacy. Ordered logistic regression analysis was conducted to assess whether patient's satisfaction with pharmacist's medication counseling was associated with medication compliance. Overall, 86.17% of study subjects(5,494) reported to take the prescribed medicines correctly and 80.54% of respondents were satisfied with pharmacist's medication counseling. Logistic regression analysis presents patient's satisfaction with pharmacist's counseling is significantly associated with medication compliance after controlling patient's characteristics(proxy-measured by age, family income, educational attainments, comorbid conditions). Interestingly, even patients who are dissatisfied with pharmacist's counseling have slightly higher odds of better compliance to medication therapy than those without pharmacist's counseling. In addition, higher educational attainments and older age groups are associated with better medication compliance. In conclusion, pharmacist's medication counseling appears to be effective in improving medication compliance. Further research that assess medication counseling in detail needs to develop strategies to improve medication adherence.

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Analysis of Contributory Factors in Causing Crashes at Rural Unsignalized intersections Based on Statistical Modeling (지방부 무신호교차로 교통사고의 영향요인 분석 및 통계적 모형 개발)

  • PARK, Jeong Soon;OH, Ju Taek;OH, Sang Jin;KIM, Young Jun
    • Journal of Korean Society of Transportation
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    • v.34 no.2
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    • pp.123-134
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    • 2016
  • Traffic accident at intersections takes 44.3% of total number of accidents on entire road network of Korea in 2014. Although several studies addressed contributory factors of accidents at signalized intersection, very few is known about the factors at rural unsignalized intersections. The objective of this study is therefore to investigate specific characteristics of crashes at rural unsignalized intersection and to identify contributory factors in causing crashes by statistical approach using the Ordered Logistic Regression Model. The results show that main type of car crashes at unsignalized intersection during the daytime is T-bone crashes and the number of crashes at 4-legged intersections are 1.53 times more than that at 3-legged intersections. Most collisions are caused by negligence of drivers and violation of Right of Way. Based upon the analysis, accident severity is modeled as classified by two types such as 3-legged intersection and 4-legged intersection. It shows that contributory factors in causing crashes at rural unsignalized intersections are poor sight distance problem, average daily traffic, time of day(night, or day), angle of intersection, ratio of heavy vehicles, number of traffic violations at intersection, and number of lanes on minor street.