• Journal of Families and Better Life
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• v.15 no.1
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• pp.191-200
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• 1997

The purpose of this research was to test a model of intergenerational transmission of marital instability. An important aspect of the present study was to test the direct and indiect intergenerational transmission processes of marital instability. This study revealed four very important findings. First the effects of parental divorce on children's marital instability were both direct and indirect through mate selection risk factors marital quality and marital commitment. Second premarital backgrounds such as socioeconomic status of parents and relative heterogeneity between spouse before marriage were important to explain one's marital relationship. Third the higher the barriers the higher the marital commitment. Fourth marital quality and marital commitment were important predictors of marital instability. Taken together this study supports the intergenerational transmission perspective that exposure to conflict marriage in one's own childhood would forecast lower marital sat sfaction higher conflict and higher marital instability in the marital relationship. The findings from this study also underline the importance of predisposing marital characteristics such as parental socioeconomic status and relative heterogeneity in explaining marital relationship.

• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.41-53
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• 2013

Objectives: As the size of elderly population living alone grows, socioeconomic diversity has also increased. This study examined if social risk factors of poor self-rated health were distinguishable between the low income elderly and their non-low income counterparts both living alone. Methods: The '2006 Elderly Health Interview Survey' conducted by D-gu in Seoul was utilized. We divided the elderly living alone into two groups depending on their economic status: low income and non-low income. Employing logistic regression, we analyzed the associations of poor self-rated health with socio-demographic factors, health-related factors, social support, the relations with children, social activities, welfare service use, and the perception of neighborhood safety. Results: Proportion of rating one's own health being poor was different between two populations. Social support was important for the self-rated health of the non-low income elderly, while welfare service use, the perception of neighborhood safety, and the relations with children were noticeable for the low income elderly. Conclusions: To better understand the health need of elderly population living alone, their heterogeneity in socioeconomic characteristics should be taken into account.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.177-177
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• 2023

The impacts of dams on transboundary flow are complex and challenging to project and manage, given the potential moderating influence of a broad range of anthropogenic and natural factors. This study presents a global meta-analysis of 168 studies that examines the effect magnitude of dams on downstream seasonal, annual flow, and hydrological extremes risk on 39 hotspot transboundary river basins. The study also evaluates the impact of 13 factors, such as climate, basin characteristics, dams' design and types, level of transboundary cooperation, and socioeconomic indicators, on the heterogeneity of outcomes. The findings reveal that moderators significantly influence the impact of dams on downstream flow, leading to considerable heterogeneity in outcomes. Transboundary cooperation emerges as the key factor that determines the severity of dams' effect on both dry and wet season's flows at a significance level of 0.01 to 0.05, respectively. Specifically, the presence of water-supply and irrigation dams has a significant (0.01) moderating effect on dry-season flow across basins with high transboundary cooperation. In contrast, for wet-season flow, the basin's vulnerability to climate extremes is associated with a large negative effect size. The various moderators have varying degrees of influence on the heterogeneity of outcomes, with the aridity index, population density, GDP, and risk level of hydro-political tension being the most significant factors for dry-season flow, and the risk level of hydro-political tension and basin vulnerability to climate extremes being the most significant for wet-season flow. The results suggest that transboundary cooperation is crucial for managing the impacts of dams on downstream flow, and that various other factors, such as climate, basin characteristics, and socioeconomic indicators, have significant moderating effects on the outcomes. Thus, context-specific approaches are necessary when predicting and managing the impacts of dams on transboundary flow.

• Korean Journal of Social Welfare Studies
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• v.44 no.3
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• pp.301-322
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• 2013

By analyzing wave 1~11 (1998~2008) of Korean Labor and Income Panel Study(KLIPS) database, this study examines the effects of household characteristics and poverty duration on poverty exit. A special concern is to decide whether the decrease of poverty exit rates comes from true duration dependency or from the sample heterogeneity as poverty duration progresses. I also analyzed how the effects of independent variables are changed when unobserved heterogeneity is controlled. The results show that duration dependency disappears after controlling observed household characteristics and unobserved individual heterogeneity. This finding confirms that the apparent relationship between poverty exit rate and poverty duration is in fact a spurious association due to the sample heterogeneity rather than true duration dependency. In addition, the effects of household characteristics on poverty exit rate become more stronger when unobserved heterogeneity is controlled. Socioeconomic factors affecting poverty exit rates are such as householders' age, education, household composition, number of family members, labor force participation, and work status.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.12 no.5
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• pp.28-41
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• 2009

Because fire has significant impacts on fauna and flora in forest ecosystems, as well as socioeconomic influences to local community, it has been an important field of study for decades. One of the most common ways to reduce fire risk is to enhance fire-resilience of forest through fuel treatments including thinning and prescribed burning. Since fuel treatment can't be practiced over all forested areas, appropriate and effective strategies are needed. The present study aims to look at the relationship between spatial characteristics of forest structure measured with landscape pattern metrics and burn severity to provide guidelines for effective fuel treatments. Samchuck fire was selected for the study, and 232 grids covering the study areas were generated, and the grid size was 1km. The burn severity is measured with dNBR derived from satellite imagery, and spatial characteristics of forest structure were measured using FRAGSTATS for both landscape and class levels for each 1km grid. The results of this study strongly indicated that heterogeneity in composition and configuration of forests may significantly reduce burn severity. By enhancing heterogeneity of forests, fuel treatments for fire-resilience forest could be more effective.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.701-721
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• 2007

A key issue in the development and application of stated preference nonmarket valuation is the incorporation of unobserved heterogeneity in utility models. Two approaches to this task have dominated. The first is to include individual-specific characteristics into the estimated indirect utility functions. These characteristics are usually socioeconomic or demographic variables. The second employs generalized models such as random parameter logit or probit models to allow model parameters to vary across individuals. This paper examines a third approach: the inclusion of psychological or 'latent' variables such as general attitudes and behaviour-specific attitudes to account for heterogeneity in models of stated preferences. Attitudinal indicators are used as explanatory variables and as segmentation criteria in a choice modelling application. Results show that both the model significance and parameter estimates are influenced by the inclusion of the latent variables, and that attitudinal variables are significant factors for WTP estimates.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.104-112
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• 2019

Purpose: This study aimed to identify types of quality of life (QoL) based on the 5 dimensions of EQ-5D and predict factors affecting types of QoL. Methods: This study was a secondary analysis using data from the Korean Health Panel Survey-II(2012). Participants were 2,071 middle-aged men who had completed the additional survey in 2012 and the data were analyzed using SPSS 20.0 and Mplus 5.21 for latent analysis. Results: Three latent classes of QoL were identified: serious (2.4% of the sample), threatened (15.5%), and stable types (82.0%). The types and characteristics of QoL among the latent classes differed. On comparing latent type 1 with latent type 2, the socioeconomic status (p<.05), employment status (p<.05), and subjective health status (p<.001) were found to be significant. On comparing latent type 1 with latent type 3, the socioeconomic status (p<.05), current smoking status (p<.001), and subjective health status (p<.001) were found to be significant. On comparing latent type 2 with latent type 3, the socioeconomic status (p<.05), subjective health status (p<.001), stress (p<.001) were found to be significant. Conclusion: The results showed significant heterogeneity in types of QoL and the predictors of QoL by types were different. These findings provide basic information for developing nursing interventions to improve QoL. Specific characteristics depending on the subtypes should be considered during the development of interventions.

• Parasites, Hosts and Diseases
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• v.58 no.3
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• pp.267-278
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• 2020

The heterogeneity and complexity of malaria involves political and natural environments, socioeconomic development, cross-border movement, and vector biology; factors that cannot be changed in a short time. This study aimed to assess the impact of economic growth and cross-border movement, toward elimination of malaria in Yunnan Province during its pre-elimination phase. Malaria data during 2011-2016 were extracted from 18 counties of Yunnan and from 7 villages, 11 displaced person camps of the Kachin Special Region II of Myanmar. Data of per-capita gross domestic product (GDP) were obtained from Yunnan Bureau of Statistics. Data were analyzed and mapped to determine spatiotemporal heterogeneity at county and village levels. There were a total 2,117 malaria cases with 85.2% imported cases; most imported cases came from Myanmar (78.5%). Along the demarcation line, malaria incidence rates in villages/camps in Myanmar were significantly higher than those of the neighboring villages in China. The spatial and temporal trends suggested that increasing per-capita GDP may have an indirect effect on the reduction of malaria cases when observed at macro level; however, malaria persists owing to complex, multi-faceted factors including poverty at individual level and cross-border movement of the workforce. In moving toward malaria elimination, despite economic growth, cooperative efforts with neighboring countries are critical to interrupt local transmission and prevent reintroduction of malaria via imported cases. Cross-border workers should be educated in preventive measures through effective behavior change communication, and investment is needed in active surveillance systems and novel diagnostic and treatment services during the elimination phase.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.218-236
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• 2023

This study attempted to analyze the environmental equity of fine dust(PM₁₀) in Daegu using MGWR(Multi-scale Geographically Weighted Regression) and KT(Korea Telecom Corporation) sensor data. Existing national monitoring network data for measuring fine dust are collected at a small number of ground-based stations that are sparsely distributed in a large area. To complement these drawbacks, KT sensor data with a large number of IoT(Internet of Things) stations densely distributed were used in this study. The MGWR model was used to deal with spatial heterogeneity and multi-scale contextual effects in the spatial relationships between fine dust concentration and socioeconomic variables. Results indicate that there existed an environmental inequity by land value and foreigner ratio in the spatial distribution of fine dust in Daegu metropolitan city. Also, the MGWR model showed better the explanatory power than Ordinary Least Square(OLS) and Geographically Weighted Regression(GWR) models in explaining the spatial relationships between the concentration of fine dust and socioeconomic variables. This study demonstrated the potential of KT sensor data as a supplement to the existing national monitoring network data for measuring fine dust.

• Journal of dental hygiene science
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• v.20 no.2
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• pp.89-96
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• 2020

Background: Multicultural families are constantly on the rise as marriage migrants and foreign workers increase. Multicultural families appear to record poor health levels compared to native families. As health is a social issue, children of surviving generations of multicultural families are also a growing interest. This study was conducted to confirm the effect of multicultural families and parents' educational level on the scaling experience of children. Methods: For this study, the 2016~2018 Korea Youth Risk Behavior Web-based Survey data were used. In order to make the two groups of adolescents belonging to multicultural and native families similar, a total of 5,362 people were included in the survey, consisting of 2,681 individuals each from multicultural and native families using the propensity score matching method. Logistic analysis was performed to identify factors influencing the scaling experience of adolescent children. Results: The results confirm that, even after controlling for factors such as parents' educational level, household income, and children's oral health behavior, parents' nationality appeared to have a statistically significant effect on their children's scaling experience. In addition, it was confirmed that the experience of oral health education had a significant effect. Conclusion: Cultural heterogeneity and the lack of adequate language ability of immigrants affects health behavior and medical accessibility. Therefore, children from multicultural families are more likely to be exposed to unhealthy environments compared to the children of native Korean families. Based on an understanding of the socioeconomic multicultural background of individuals, education and public policy should be prepared to improve the awareness for the need for preventive oral health and provide unhindered accessibility to dental services.