Journal of the Korean association of regional geographers
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v.11
no.2
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pp.187-210
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2005
The purpose of this study is to examine the spatial characteristics of the longevity phenomenon and long-live areas in Korea where a rapid aging process is undergoing. Population data from 1966 to 2000 at the county level are analyzed to understand aging process and changes of longevity degree by regions. The relationship between the degree of longevity and a region's natural environments and distance to a metropolis has been analyzed to understand regional factors of longevity. The findings from the study are summarized as follows. Firstly, the rural regions in Honam show the highest degree of longevity in the nation. Secondly, the areas of the high degree of longevity has recently shifted and/or expanded from the islands and seashore areas of southwestern region to inland mountainous areas around Soback Mountain. Southern islands and seashore regions used to show the nation's highest degree of longevity in the 1970s. Thirdly, the analysis of regional environment factors indicated that longevity has more related to a precipitation and an average altitude than temperature. Fourthly, in order to identify the longevity factors in urban areas, social and economic factors should be considered beyond the natural environmental factors.
This study examined health foods intakes and related variables among the middle aged(150 men and 159 women) in the Jeonbuk region. Health foods were classified into 4 groups including Chinese medicine(CM), toner foods(TF), vitamin or mineral supplements(VMS), and other manufactured health food supplements(MHFS). The number of people taking health foods were higher for those in their 50's than in their 40's. The consumption rate of TF in men was the highest among health foods, this result had significance. The reasons for taking health foods were recovery from fatigue, supplement of nutrients and making smooth body activity in general, but TF was used to increase of vigor. The consumption rate of health foods was a little different according to social-economic factors, namely, the consumption rate of CM was higher in people in rural than urban areas, those who graduated from middle school than university, blue color & self-employed as opposed to housewives and service workers, low level income than high level income, and Buddhism and no religion than Christian. The consumption rate had a correlation with the habits of smoking, alcohol drinking and exercise ; namely, the consumption rate of CM was higher than VMS and MHFS on smokers and alcohol drinkers. The more the frequency of exercise, the higher the consumption rate of TF, but the duration of the exercise was not correlated. This study suggests that middle aged people need nutritional education for the right recognition and selection of health foods and to consider the nature of each type of health foods.
Objectives: This study seeks to evaluate the vulnerability assessment of the human health sector for $PM_{10}$, which is reflected in the regional characteristics and related disease mortality rates for $PM_{10}$ in Busan over the period of 2006-2010. Methods: According to the vulnerability concept suggested by the Intergovernmental Panel on Climate Change (IPCC), vulnerability to $PM_{10}$ is comprised of the categories of exposure, sensitivity, and adaptive capacity. The indexes of the exposure and sensitivity categories indicate positive effects, while the adaptive capacity index indicates a negative effect on vulnerability to $PM_{10}$. Variables of each category were standardized by the rescaling method, and each regional relative vulnerability was computed through the vulnerability index calculation formula. Results: The regions with a high exposure index are Jung-Gu (transportation region) and Saha-Gu (industrial region). Major factors determining the exposure index are the $PM_{10}$ concentration, days of $PM_{10}{\geq}50$, ${\mu}g/m^3$, and $PM_{10}$ emissions. The regions that show a high sensitivity index are urban and rural regions; these commonly have a high mortality rate for related disease and vulnerable populations. The regions that have a high adaptive capacity index are Jung-Gu, Gangseo-Gu, and Busanjin-Gu, all of which have a high level of economic/welfare/health care factors. The high-vulnerability synthesis of the exposure, sensitivity, and adaptive capacity indexes show that Dong-Gu and Seo-Gu have a risk for $PM_{10}$ potential effects and a low adaptive capacity. Conclusions: This study presents the vulnerability index to $PM_{10}$ through a relative comparison using quantitative evaluation to draw regional priorities. Therefore, it provides basic data to reflect environmental health influences in favor of an adaptive policy limiting damage to human health caused by vulnerability to $PM_{10}$.
This study evaluates the potential by Chines region for entry of Korean logistics companies and retailers. The variables affecting e-commerce business and retail sales concerning the Chinese omni-channel market were extracted from a thorough literature review. Empirical analyses for variables based on 31 regions in China were performed. Results show that e-commerce is affected by disposable income and internet traffic and that retail sales are affected by urban and rural population, GRDP and urbanization. In addition, we performed variance decomposition analysis in order to estimate responses of logistics GDP(transport, storage and communication) and the number of Chinese mobile users. Exogenous shocks to logistics GDP and the number of mobile phone users play a strong role in explaining the forecast error of express service variance over time. Based on our results, we suggest 7 potential regions(Guangdong, Jiangsu, Zhejiang, Beijing, Shanghai, Liaoning and Shandong) as well as managerial implications for entry into China for logistics companies and retailers.
Seohyun Woo;Hyun Woo Moon;Yeong jun Lee;Sun jung Kim
Korea Journal of Hospital Management
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v.28
no.4
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pp.62-72
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2023
Based on the basic ideology of health care, this study realized the seriousness of annual unmet medical need and conducted a study to confirm the relationship between the subjective perception of regional healthcare environment and unmet medical needs. The independent variable was classified into attitude 'satisfaction' and 'unsatisfaction' toward regional healthcare, and the dependent variable was classified as whether unmet medical needs occurred annually. Based on previous studies, the control variables were selected as demographic and socioeconomic characteristics that can affect the occurrence of unmet medical care annually and characteristics related to health behavior. Descriptive statistics were conducted for each variable on the extracted sample, and multivariate survey logistic regression analysis was conducted to confirm the association between variables. As a result, more unmet medical needs occurred annually than those who were satisfied with the medical services in the area where they lived. In addition, more unmet medical need occurred annually in "unsatisfied" households compared to households "satisfied" with local medical services. In residential areas, women live in "metropolis" and "rural areas" compared to "urban," women live in men, lower education levels, and poor subjective health levels, and less satisfied with local medical services. As such, the impact of environmental factors in the community on the use of health and medical services is one of the major areas of interest in the field of health science, such as health policy and social dynamics. Therefore, hospitals in each region need to make efforts in terms of hospital management to increase the overall satisfaction of medical services in the region by continuously monitoring the attitude of residents to achieve universal health security, and policymakers should also be interested and propose new policies.
The spatial and temporal variations of heating degree-days (HDDs) and cooling degree-days (CDDs) are closely related with the temperature field. The spatial distribution of 30-year mean HDDs shows that the higher values locates in the northern part of South Korea while the lower values locates in the southern part. The 30-year mean CDDs shows a more randomized distribution than the HDDs. The changing trends of HDDs and CDDs show a different feature: HDDs have a distinct decreasing trend while CDDs have an insignificant change. The decreasing trends of HDDs are consistent over South Korea and most of stations have experienced the statistically significant change. As significant changing areas of HDDs are much broader than those of annual mean temperature, HDDs can be more useful than annual mean temperature to detect the climate change impact on a regional level. In other words, an insignificant change on the mean temperature field can induce the significant change of thermal climatology in a region. The temporal pattern of climatic departure index (CDI) for South Korea HDDs series shows a general decreasing, but a sharp increase during recent years. The drastic decrease of HDDs induces higher CDI indicating larger variability among stations. However, the decrease of South Korea HDDs series cannot totally attribute to the global warming due to urban effects. By the early 1980s, there were no big differences of HDDs between urban and rural series, but later the differences are getting larger. This was expected to be with the intensification of urbanization in South Korea. However, still there is a decreasing trend of HDDs for rural stations.
Kim, Ji-Wook;Jun, Hyung-Pil;Lee, Chan-Jin;Kim, Nam-Ju;Kim, Gyoo-Bum
The Journal of Engineering Geology
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v.23
no.4
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pp.467-476
/
2013
With increasing interest in environmental issues and the quality of surface water becoming inadequate for water supply, the Korean government has launched a groundwater development policy to satisfy the demand for clean water. To drive this policy effectively, it is essential to guarantee the accuracy of sustainable groundwater yield and groundwater use amount. In this study, groundwater use was monitored over several years at various locations in Korea (32 cities/counties in 5 provinces) to obtain accurate groundwater use data. Statistical analysis of the results was performed as a method for estimating rational groundwater use. For the case of groundwater use for living purposes, we classified the cities/counties into three regional types (urban, rural, and urban-rural complex) and divided the groundwater facilities into five types (domestic use, apartment housing, small-scale water supply, schools, and businesses) according to use. For the case of agricultural use, we defined three regional types based on rainfall intensity (average rainfall, below-average rainfall, and above-average rainfall) and the facilities into six types (rice farming, dry-field farming, floriculture, livestock-cows, livestock-pigs, and livestock-chickens). Finally, we developed groundwater-use estimation equations for each region and use type, using cluster analysis and regression model analysis of the monitoring data. The results will enhance the reliability of national groundwater statistics.
Park, Shin-Gyu;Chung, Won-Woo;Park, Young-Kwan;Hong, Soon-Cheon;Park, Kyung-Me;Kim, Jung-Wook
Journal of Gifted/Talented Education
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v.21
no.4
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pp.885-905
/
2011
The purpose of this study is to examine creativity styles of elementary science gifted students through the Torrance Tests of Creative Thinking (TTCT). For this study, the TTCT-Figural Form A was used, with data form 206 elementary science gifted students, which included 56 urban students, 115 suburban students, and 35 rural students. Confirmatory factor analyses were conducted to examine a two-factor model of creativity styles based on Kim's (2006). Level of creativity was analyzed on the basis of the creativity styles and the numbers of creativity styles were analyzed according to region, grade, and gender. The results are as follows: Factor innovative was loaded by fluency and originality; factor adaptive loaded by elaboration, abstractness of titles, and creative strength; and both factor innovative and factor adaptive loaded by resistance to premature closure. The percentage of adaptive styles is higher than the innovative styles. Urban had more adaptors than rural. There were more adaptors in 6th grade than 5th grade. Gifted female adaptors had significantly higher creative potential than gifted male adaptors and gifted female innovators also showed higher creative potential than gifted male innovators. Creativity styles can give more information about individuals' strengths and weakness so that do an important role in understanding characteristics of gifted students.
Land Surface Temperature (LST) retrieved from Landsat 8 measured from 2013 to 2014 and it is corrected by surface temperature observed from ground. LST maps are retrieved from Landsat 8 calculate using the linear regression function between raw Landsat 8 LST and ground surface temperature. Seasonal and annual LST maps developed an average LST from season to annual, respectively. While the higher LSTs distribute on the industrial and commercial area in urban, lower LSTs locate in surrounding rural, sea, river and high altitude mountain area over Seoul and surrounding area. In order to correct the LST, linear regression function calculate between Landsat 8 LST and ground surface temperature observed 3 Korea Meteorological Administration (KMA) synoptic stations (Seoul(ID: 108), Incheon(ID: 112) and Suwon(ID: 119)) on the Seoul and surrounding area. The slopes of regression function are 0.78 with all data and 0.88 with clear sky except 5 cloudy pixel data. And the original Landsat 8 LST have a correlation coefficient with 0.88 and Root Mean Square Error (RMSE) with $5.33^{\circ}C$. After LST correction, the LST have correlation coefficient with 0.98 and RMSE with $2.34^{\circ}C$ and the slope of regression equation improve the 0.95. Seasonal and annual LST maps represent from urban to rural area and from commercial to industrial region clearly. As a result, the Landsat 8 LST is more similar to the real state when corrected by surface temperature observed ground.
The goal of this study was to measure the level of health quantitatively by combining mortality and morbidity level of the Korean people. The 1989 Life Table was used for the mortality data. For the morbidity data, the 15-day morbidity survey (10, 940) the hospitalized patient survey (1, 770), chronic morbidity survey (7, 241) of the 1989 National Health Sunvey conducted by Korean Institute of Health and Social Affairs were utilized. The life table analysis technique of Sullivan was adopted. The morbidity period and disability period required for this method were estimated by measuring disability period rate and disability rate. The disability free life expectancy was estimated by excluding disability life expectancy from life expectancy. In case of males, the disability-free life expectancy at birth was 60.48 years. In case of females, the disability-free life expectancy at birth was 63.80 years. The percent of disability-free life expectancy to life expectancy was 90.63% at birth in case of males and 85.20% in case of females. The portion of females was lower than that of males in all age brackets. Therefore, the percent of time spent without disability condition to life expectancy was higher for females than males. Estimating disability-free life expectancy by region, it was 61.52 years at birth in urban area and 59.34 years in rural area in case of males. In case of females, it was estimated to be 64.60 years in urban area and 63.08 years in rural area. The life expectancy of Koreans was 66.73 years for males and 74.88 years for females, 8.15 years higher than males while disability-free life expectancy was 60.48 years for males, 63.80 years for females, only 3.32 years higher than males.
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