• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3227-3238
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• 2018

This study attempts to investigate the trajectories of socio-economic deprivation on the depression trajectories among middle-aged individuals using a latent growth model over the last five years. Using the Korea welfare panel study data ranged from the year 2013 (8th wave) to the year 2017 (12th wave), a sample of 7,437 aged over 40 was selected. Three hypothesis was proposed as follows. Is the trajectory of depression changing over the years? Are the initial values of socio-economic deprivation causally related to the initial values of depression? Are the rates of change in socio-economic deprivation causally related to the rates of change in depression? Results showed that the growth curve of depression tended to decline negatively over the five-year period. As the intial values of socio-economic deprivation increased, so did the initial values of depression move upwards. Finally, as the changes of socio-economic deprivation tended to get larger, those changes of depression also accordingly increased as well. The public policy implications based on the current study were discussed to pay more attention to those middle-aged individuals suffering from socio-economic deprivations.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.267-282
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• 2018

This study analyzes the impact of the experiences of elderly using social welfare organizations in socio-economic deprivation on their relational aggression damage experiences, and verifies the mediating effects of rejection sensitivity. For data collection, 275 of 290 questionnaires, excluding 15 questionnaires with inadequate responses, were used for the final analysis. The SPSS and AMOS programs were used for data analysis through the following procedures. The analysis showed that socio-economic deprivation experiences, relational aggression damage experiences, and rejection sensitivity were higher for the groups of male elderly, higher age, education above college, absence of spouse, and longer institutionalization. The size of indirect effect (${\beta}=.32$) was larger than that of direct effect (${\beta}=.14$), signifying that the indirect impact through rejection sensitivity was larger than the impact of socio-economic deprivation on the experiences of damage by relational aggression. With the above findings, this study makes practical suggestions for institutional measures to reduce the elderly's relational aggression damage experiences and rejection sensitivity and programs on socio-economic deprivation, etc.

• 한국노년학
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• v.38 no.2
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• pp.271-290
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• 2018

The study aims to analyze the effects of socio-economic deprivation on suicidal ideation. The analysis data were used as a guide for Korea Welfare Panel Study 9. the frequency analysis, mean difference analysis, correlation analysis, and logistic regression were performed by SPSS programs. The results of analysis are as follows. First, The results of frequency analysis by deprivation type showed a high frequency of deprivation in the following order. Experience of not receiving a public pension, experience of being able to work but unemployed, experience of not being able to eat a balanced diet due to financial difficulties, and experience where you had nothing to eat but no more money to buy. Second, the average difference analysis shows that when a person does not have a spouse, the lower the academic background and the income level, the higher the likelihood of suicide. Third, regression analysis shows that the following deprivation patterns have a statistically significant effect on older adults' thoughts of suicide. Experience in which the respondents or their family could not go to hospital because they had no money, experience that move house because is back rent more than 2 months or can not pay rent, experience that they could not afford to buy food and eat well-balanced meals, experience of failing to pay your bills on time, experience of being able to work but not having a job, and experience in which financial difficulties left them short of food and no money to live. Based on such research results, some policy measures, such as the expanding management of medical care benefits cases, the improvement of elderly housing, residential conditions and the diet survey for the elderly, and the expansion of measures to support elderly people's tax rates, were proposed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1045-1052
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• 2021

The main purpose of this paper is to explore the relationship between financial inclusion and socio-economic and demographic factors. Ownership of bank accounts, availing of credit facility, and use of mobile banking were considered the major indicators of financial inclusion. To achieved this objective, the present study was conducted in the rural regions of three hill districts of Uttarakhand. 780 rural households were selected by using stratified and judgment sampling technique. To measure the association between the variables, binary logistic regression model was employed. The findings of the study revealed that there is a significant association of socio-economic variables with financial inclusion. The overall analysis of the study indicates that the likelihood of having bank account, usage of mobile banking facility, and availing credit facility increases with the increase in the financial literacy of an individual in hill rural regions of the state. Further, the study also indicates the vulnerability of women relative to that of men in both cases of mobile usage and availing credit. The findings of the study suggest to target the economically vulnerable section of population (as identified in case of having low financial inclusion) and enhancing the financial literacy in these regions.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.5
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• pp.57-68
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• 2019

Rural tourism has been identified as providing opportunities to revitalize the rural economies since early 2000s. During last decade in South Korea, government has enacted many policies aiming to establish tourism support programs as well as instigating activities between rural and nearby urban districts. In particular, the promotion of the rural tourism has been actively sought in various forms of products and services, such as green tourism village, village festival, one-company one-village campaign and etc. However, in order to prepare effective policies, it is very crucial to identify measureable evaluation criteria that can be used to assess socio-economic situations of the rural districts. Such criteria should be objective, timely and provide insights about living conditions of local residents and relevant properties. They can also be used to evaluate if progress is being made after the policies are implemented. While considerable efforts and resources have been invested to aid the tourism programs in South Korea, we still lack such systematic means to quantify and evaluate its impact on rural districts. In this work, we have applied regional deprivation analysis on well-established community experiential and recreational business in rural villages throughout the country based on three criteria (i.e., population, local commerce, and buildings). Surprisingly, the result shows that the implementation of the community experiential and recreational businesses did not bring any noticeable changes to at least one of the evaluation criteria. We concluded that the current government policies on revitalization of rural tourism at the village scale is insufficient for bringing meaningful socio-economic impacts to rural districts, with rare exceptions.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.2
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• pp.179-194
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• 2009

The spatial distribution of crime incidences in urban neighborhoods is a reflection of their socio-economic environment and spatial inter-relations. Spatial interactions between offenders and victims lead to spatial autocorrelation of the crime incidences. The spatial autocorrelation among the incidences biases the interpretation of the ecological model in OLS framework. This research investigates residential crimes using residential burglaries and robberies occurred in the city of Columbus, Ohio, for 2000. In particular, the spatial distribution of incidence rates of residential crimes are accounted in OLS framework using eigenvectors, which reflect spatial dependence in crime patterns. Result presents that handling spatial autocorrelation enhanced model estimation, and both economic deprivation and crime opportunity are turned out significant in estimating residential crime rates.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.821-832
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• 2021

Economic deprivation of households remains a significant economic issue in the world. Researchers have shown great concern in identifying crucial factors to enhance poor households' socio-economic performance. Therefore, this paper aims to develop a new conceptual framework to investigate the influence of different microfinance services on households' socioeconomic performance using moderated mediation analysis of various crucial factors. Focus-group interviews with managements of the microfinance institution, i.e. Amanah Ikhtiar Malaysia (AIM), and a systematic literature review were conducted for this purpose, and a new framework for the future study has been developed. The result from focus-group interviews and systematic literature review propose microfinance financial services, training programs, and business coaching as independent factors, whereas household socioeconomic performance as a dependent factor in the proposed model. Specifically, this study provides the direction to scholars to empirically test the direct relationship between financial services and household socioeconomic performance and the indirect relationship between training programs, business coaching, and household socioeconomic performance. Further, microfinance institutions' service efficiency is also included as a moderator that can strengthen microfinance services' effectiveness. The study also provides useful implications for policymakers, financial institutions, households, micro-enterprises, and researchers to better understand microfinance interventions and household economic mechanisms.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.5
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• pp.28-40
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• 2019

In order to resolve the imbalances in the supply of living SOCs according to socio-economic status, location, and population groups, the discussions on inclusive city policies are expanding. The purpose of this study is to propose an Index of Park Derivation (IPD) as an alternative indicator for the promotion of an inclusive urban park policy that can be applied in the 7 major metropolitan cities to select a region with a relatively high park needs. The main research results are as follows. First, the concept of an inclusive urban park policy is defined as "a policy to supply to manage high-quality park services with priority given to areas with low socio-economic and environmental status, such as a large amount of elderly, children, low-income families, areas vulnerable to disasters, such as heat and fine dust, and population groups." Second, we developed the index of park derivation (IPD), which is a combination of 17 variables including park service level, demographic characteristics, economic and educational level, health level, and environmental vulnerability. The variables that constitute the index of park deprivation (IPD) can be applied to SOC policies outside the parks, such as sports facilities, daycare centers, kindergartens, and public libraries. Third, applying index of park deprivation (IPD) to 1,148 Eup/Myeon/dong areas of the 7 metropolitan cities resulted in areas with relatively high park service needs. This study implies that the central and the local government suggest an alternative index to promote an inclusive urban park policy based on statistical and geographical information and data that can be easily accessed and utilized.

• Journal of Industrial Convergence
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• v.21 no.7
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• pp.9-17
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• 2023

This study was conducted to explore the factors that affect youth life satisfaction in order to find ways to increase their life satisfaction. For this purpose, we utilized data from the National Youth Policy Institute's '2021 Youth Socio-Economic Survey' to study 2,041 youth aged 18-34 as of 2021. The randomForest method was applied to explore various variables that affect youth life satisfaction. A total of 21 variables were analyzed, including demographic and socio-demographic factors and psychological and emotional factors.The results of exploring the variables affecting youth life satisfaction using randomForest are as follows. First, all 21 predictors were found to have an impact on young adults' life satisfaction. Second, the most significant impact on youth life satisfaction was found to be 'work values'. Third, it can be seen that young people's perceptions of society, such as 'political effectiveness' and 'perception of older generation', are also variables that affect youth life satisfaction. Based on these findings, the variables affecting youth life satisfaction are explained and discussion points are presented.