• Korean Security Journal
• /
• no.13
• /
• pp.383-402
• /
• 2007

World security market has continuously been growing since the 2000s. The growth rate seems to reach up to 7-8% annually. What is more, Korea is expected to be one of the most rapidly developing markets, Based of this view, this research investigates the principal drivers to have affected on the expansion of Korean security market over the past 20 years. In addition to that, this study also examines the influence of recent changes in the world economy and globalization, socio-demographic change, development of information technology on the future security market. The data reviewed in this study are official crime rates, socio-economic indicators, statistics from the National Police Agency and the business reports of a leading private security company. This study shows that several factors such as rising crime rates, lack of police capacities, national economic growth and rising household income have played important roles in development of Korean market. It is also expected to keep those positive affects on the future market. On the other side, in recent years, the security market seems to be increasingly affected by new social economic changes. Those are impact of last aging society, rapid increase of individual household and women's participation in labor market. These factors seem to increase personal and household needs for security service. World economy, globalization process and development of information technology are also deemed to give rise to social demands for surveillance, monitoring service and security in cyber space.

• Journal of Environmental Impact Assessment
• /
• v.1 no.1
• /
• pp.31-40
• /
• 1992

As the environmental concerns in Korea have shifted gradually from the environmental pollutions to the quality of life (QOL) enhancement, it has become increasingly important to implement comprehensive assessment of environmental quality as possible. This is the major reason to develop Environmental Assessment Index. This study focuses on indices development of factors in Environmental Impact Statement Preparation Regulation. Environment in this regulation is composed of natural environment, life environment and socio-economic environment, and it is composed of 22 factors. EAI(Environmental Assessment Index)studied in this research is integrated by 16 factors. It will contribute to public participation in Environmental Impact Assessment process and environmental policy.

• Asian Journal of Innovation and Policy
• /
• v.11 no.1
• /
• pp.50-68
• /
• 2022

Innovation is broadly defined as the creation or adoption of new ideas and technologies, which has become an instrumental tool to determine the success and development level of a country as it leads to competitiveness and productivity of companies. Innovation is influenced by many factors including geographic and socio-economic factors as well as a political framework. In fact, innovation is systemic in nature, and it focuses on interactions amongst a nexus of processes such as Research and Development (R&D), production, business, and education, amongst other factors. However, not all innovation ecosystems have the same architectural models or internal collaboration. This paper aims to review the structure of the National Innovation Ecosystem by highlighting the different actions taken by the Government of Mauritius over the years. The multipronged approach of the government will be demonstrated through the different lines of actions to boost the innovation culture and offers a foundation for other small island developing state to follow to be at par with other innovative economies.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.702-703
• /
• 2015

Currently, according to the climate change, serious damage by Typhoon has been occurred in the world. In this respect, the research on the damage prediction model to minimize the damage from various natural disaster has been conducted in several developed countries. In the case of U.S, various damage prediction models of buildings from natural disasters have been used widely in many organizations such as insurance companies and governments. In South Korea, although studies regarding damage prediction model of hurricane have been conducted, the scope has been only limited to consider the property of hurricane. However, it is necessary to consider various factors such as socio-economic, physical, geographical, and built environmental factors to predict the damages. Therefore, to address this issue, correlation analysis is conducted between various variables based on the data of hurricane from 2003 to 2012. The findings of this study can be utilized to develop for predicting the damage of hurricane on buildings.

• Journal of radiological science and technology
• /
• v.43 no.1
• /
• pp.23-27
• /
• 2020

In South Korea, female individuals in their forties show a high rate of incidence, with approximately 13% of the patients being <40 years. This statistic is more than twice as high as that in Western countries. It is therefore necessary to identify the risk factors for breast cancer incidence by age and economic activity participation status. Women aged 30 to 59-whether breast cancer patients or those in the control group and having no breast cancer-were appraised from the sample cohort database. The data were analyzed using the statistical software R36.2. To identify the factors affecting breast cancer incidence, the degree of association was determined with HR and 95% CI by means of cox regression analysis. As for the socio-demographic variables, the older the individual, the higher the risk of breast cancer incidence becomes. As for the economic activity variables, those who were dependents (unemployed) and who had higher income (medium and high) were at higher risk of breast cancer incidence, which was statistically significant. The income-adjusted HR (model 1) for breast cancer development associated with the economic activity was 1.452 (95% CI, 1.19-1.77). The body mass index and alcohol intake-adjusted HR (model 2) was 1.431 (95% CI, 1.18-1.74). One needs to pay attention to policy plans regarding women's quality of life, as well as to the risk of breast cancer incidence by their economic activity. In other words, policies need to give post care, instead of focus on early detection and cancer treatment.

• Korean Journal of Health Education and Promotion
• /
• v.34 no.1
• /
• pp.47-65
• /
• 2017

Objectives: This paper aims to identify depressive or stress related symptoms and its associated risk and protective factors among marriage immigrant women in Korea. Methods: The study participants were 490 immigrant wives from '2012 Survey of Foreign Residents in Korea'. The participants completed self-administered questionnaires on socio-demographics, health status, family members' related factors, and other environmental factors. Results: Difficulties on child nursing, finance, family conflict, and experience of physical or verbal violence were significant risk variables to the depressive stress related symptoms. Family life satisfaction, discussion about troubles with Koreans, healthy status, social trust, and discussion about troubles with people from home country were the significant protective variables to mental health. However economic activities were not protective factors but risk factors. Conclusions: Mental Health promotion programs for marriage immigrant women and their family members need to consider the family and community related protective mental health factors and develop supportive system with pre-existing programs and policy modification.

• The Journal of the Korea Contents Association
• /
• v.13 no.11
• /
• pp.726-739
• /
• 2013

The purpose of this paper is to assert the necessity of social health as a solution to resolve social issues of the aged in the nearing aged society, and to assess the effects that the social health of the aged has on their quality of life. In doing so, the study gathered as its study subjects those aged persons who participate in social activities among persons aged 65 or older who reside in Euiwang-si, Gyeonggi-do. A total of 157 subject studies were used for the final analysis. An analysis of frequency, t-Test and one-way ANOVA, Duncan post-test, correlation analysis and hierarchical regression analysis was conducted by using the IBM SPSS 21.0. The main study findings are as follows. with respect to the correlation between socio-demographic factors and social health, economic level, subjective level of health and social health showed a positive correlation. Domiciliary treatment level and subjective level of health showed a negative correlation with economic level and social health, respectively. with respect to the effects of social health on quality of life, in the case of model 1 which only input factors of socio-demographical characteristics, the variance explanation power was found to be 38.2% and the regression model was found to be significant (F=13.141, p<.001). In the case of model 2 which input factors of socio-demographical characteristics and social health, the variance explanation power was found to be 13.8% and the regression model was found to be significant (F=20.057, p<.001). Based on such study results, this study recommends a number of proposals.

• Korean Journal of Social Welfare Studies
• /
• v.42 no.4
• /
• pp.365-388
• /
• 2011

By analyzing 1998~2008 Korean Labor and Income Panel Study(KLIPS), this study examines socio-economic characteristics of people who become poor. The study also explores the reason why they are in the state of poverty. To find determinants affecting poverty entrance, discrete-time hazard models are applied. Major findings are as follows. The socio-economic characteristics driving people into poverty are in the middle way of the long-term poor and the non-poor, combining the characteristics of both groups. This implies that many cases of the newly poor tend to enter and exit from poverty repeatedly. Poverty entry rate was at a high level right after the economic crises, then was a downturn and remained fairly stable since 2000. However, the young, the high-educated, and even the professional are on the rise as a new poverty group. The major reason people become poor is temporary job loss. This factor is confirmed again by multi-variate analyses. In building anti-poverty policies, it is important to distinguish the long-term poor from the short-term poor. For the long-term poor, virtually the only affective policy will be income support. On the other hand, a labor-market strategy for jos security will be more effective for the short-term poor. The characteristics and determinants of poverty entry may affect poverty duration and exit in the future. Future research will be needed to investigate the relationship among these factors.

• Journal of Families and Better Life
• /
• v.26 no.5
• /
• pp.129-142
• /
• 2008

This study examines how economic and psychological characteristics affect the quality of life (QoL) of elderly individuals age 60 and older, who live in the Seoul-metropolitan area. Relationships among socio-demographic status, economic conditions, psychological characteristics, family life, health status, and QoL are examined by t-test and ANOVA(Duncan's test as post hoc multiple comparisons), and the multiple regression analysis is used to estimate QoL determinants in the elderly. The major findings of the study are as follows. First, younger age, higher education levels, better health status, harmonious family relations, higher levels of household income, lower levels of loneliness, and higher self-esteems are related to higher QoL levels. Second, the impacts of factors on QoL are differentiated according to tercile groups that divide monthly allowance of respondents into three categories: below normal (threshold amount below 21MW), near normal (threshold amount between 21MW and 35MW), and above normal (threshold amount above 35MW). For each tercile group, poor health status or higher loneliness have negative effects on QoL, while harmonious family relationship has a positive effect. For the below-normal group, years of education or self-esteem have positive effects, while age or retirement status have negative effects when controlling for other factors. For the near-normal group, being married, or perceived financial insecurity create lower QoL levels, while higher self-esteem increases QoL levels. For the above-normal group, being widowed, employed, or retired have positive effects on QoL, when controlling for other variables. Third, even among elderly with high allowances, the effects of health status and family relationship are significant determinants that explain QoL levels. This result suggests that, for te elderly, poor health status and poor family relationships severely decrease QoL in later life, regardless of economic condition.

• Journal of Preventive Medicine and Public Health
• /
• v.42 no.5
• /
• pp.305-314
• /
• 2009

Objectives : The physical activity of Korean adolescents and its distribution based on social characteristics have not yet been fully assessed. This study intends to reveal the distribution of physical activity by its subgroups and offer possible explanatory variables. Methods : The 3rd Korea Youth Risk Behavior Web-based Survey was analyzed for this study. The appropriateness of physical activity was defined by Korea s Health Plan 2010 and physical inactivity was assessed independently. Family affluence scale, parents education levels, subjective economic status, grade, and school location were considered explanatory variables. All statistical analysis was conducted using SAS ver. 9.1. Results : The proportion of participants engaging in vigorous physical activity was high in males (41.6%), at a low grade (38.5%), within the high family affluence scale group (35.5%). The distribution of participants engaging in moderate physical activity showed similar patterns, but the overall proportion was lower (9.8%). Low family affluence and students with lower subjective economic status reported a higher prevalence of physical inactivity. In multiple logistic regression analysis for physical activity, significant factors included family affluence scale (p<0.05). For physical inactivity, family affluence scale, parents education levels, and subjective economic status were included as significant factors (p<0.05). Conclusions : The results suggest that the physical activity and inactivity of adolescents may be affected by socioeconomic variables, such as family affluence scale. This implies the need to take proper measures to address these socio-economic inequalities.