• Proceedings of the Population Association of Korea Conference
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• 2006.12a
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• pp.131-152
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• 2006

This study examines the causal mechanisms of low fertility and regional differentials in Korea. Utilizing the 2005 census and the 2005 vital statistics, and labor statistics at the regional level, major variables were calculated for administrative units of 234 'Gu's, 'Si's and 'Gun's. Gender equity orientation, labor market insecurity and family formation were hypothesized as key factors of recent decline in Korean fertility. This study first presents four maps of gender equity orientation, labor market insecurity, family formation and fertility. Then ANOVA and path analysis were carried out in an effort to generalize the causal mechanisms. Results of analysis reveal that gender equity orientation has played a central role in the second fertility transition in Korea. In metropolitan regions, however, labor market insecurity is found to have a significant influence on the level of family formation and fertility. Family formation also turns out to be an important intermediate variable of fertility.

• Land and Housing Review
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• v.4 no.1
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• pp.99-105
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• 2013

Development Charge System was introduced in 1989 to recapture development gains, however, it has been revised more than 20 times since then. The reason for such frequent revisions was that estimating development cost was too composite and indefinite. Therefore it is required that estimating method of development cost should be simplified in order to minimize conflicts among diverse parties. To support the recent revision of 'Restitution and Development Gains Act', this study verified several alternatives of applying standardized costs per area under specific size of development and suggested policy implications. For analysis data, 9,362 Development Charge and cost data of si gun gu for recent 3 years were used. The results showed that dividing Seoul Metropolitan Area (SMA) and non-SMA made a significant difference and definite divisions among regional groups. The result of this study could minimize social conflicts as well as contribute in realizing the public concept of land policy by revising Development Charge System.

• Journal of the Korean Society for Railway
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• v.19 no.5
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• pp.656-662
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• 2016

Based on time dependent location data of mobile phone users, users' ODs were produced after tracing their travel route and inducing their origins and destinations. System considered average signalizing frequency, which means that the longer the travel length is the more frequent the signal is. This is a home-based OD and is limited to the Seoul Metropolitan area. The OD matrix from the mobile phone data which was aggregated to the cell and transformed to the 'Dong' area, was compared to the KTDB OD. The results can be analyzed and it was determined that they are highly correlated because individual coefficients are 0.98 and 0.85, the former between the OD of this study and the KTDB Si/Gun/Gu unit area OD and the latter between the OD of this study and the Dong unit area KTDB OD.

• Health Policy and Management
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• v.29 no.3
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• pp.312-322
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• 2019

Background: Since 2003, Korea has consistently shown the highest suicide rate among the Organization for Economic Cooperation and Development countries, and suicide remains the major cause of death. In particular, men are 2-3 times more likely to commit suicide than women, which called the 'gender paradox of suicide.' The areas with frequent suicide have spatially clustered patterns because suicide with a social contagion spreads around the neighborhood. The purpose of this study was twofold. The first was to estimate the hotspot areas of age-standardized male suicide mortality from 2008 to 2015. The second was to analyze the relationship between the hotspot areas and the regional characteristics for study years. Methods: The data was collected through the Korean Statistical Information Service. The study areas were 227 si gun gu administrative districts in Korea. The hotspot area was used as a dependent variable. Socio-demographic variables (number of marriages per 1,000 population, number of divorces per 1,000 population, and urbanization rate), financial variables (financial independence and social security budget), and health behaviors (EuroQol-5 dimension [EQ-5D], and depression experience rate) were used as independents variables. Results: The hotspot areas were commonly located in Gangwon-do, Chungcheongnam-do, Gyeongsangbuk-do, and Chungceongbuk-do. According to the results of panel logit regression, the number of divorces per 1,000 population, social security budget, and EQ-5D were statistically significant variables. Conclusion: The results of hotspot analysis showed the need for establishing a prevention zone of suicide using hotspot areas. Also, medical resources could be considered to be preferentially placed in the prevention zone of suicide. This study could be used as basic data for health policymakers to establish a suicide-related policy.

• Korea journal of population studies
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• v.35 no.2
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• pp.73-101
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• 2012

This study attempts to assess the effects of childcare facilities and private education expenses on birth rate and also, to examine whether or not the quality and reliability of childcare facilities affect birth rate. Private education expenses are proxied by the number of private educational institutes or their employees. The study measures the quality and reliability of childcare facilities either by the number of employees per childcare facility or by the ratio of childcare facilities with less than 10 employees to total facilities. Empirical analysis is carried out with a cross-sectional data of 232 areas (si/gun/gu) in 2009. Empirical results indicate that the number of childcare facilities or their employees tended to increase birth rate, while private educational expenses had no effects on birth rate. It appears that the presence of good and reliable childcare facilities contributed to an increase in birth rate. The results provide several policy implications for an increase in fertility.

• Journal of Veterinary Clinics
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• v.36 no.1
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• pp.15-22
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• 2019

Highly pathogenic avian influenza (HPAI) is among the top infectious disease priorities in Korea and the leading cause of economic loss in relevant poultry industry. An understanding of the spatial epidemiology of HPAI outbreak is essential in assessing and managing the risk of the infection. Though previous studies have reported the majority of outbreaks occurred clustered in what are preferred to as densely populated poultry regions, especially in southwest coast of Korea, little is known about the spatial distribution of risk areas vulnerable to HPAI occurrence based on geographic information system (GIS). The main aim of the present study was to develop a GIS-based risk index model for defining potential high-risk areas of HPAI outbreaks and to explore spatial distribution in relative risk index for each 252 Si-Gun-Gu (administrative unit) in Korea. The risk index was derived incorporating seven GIS database associated with risk factors of HPAI in a standardized five-score scale. Scale 1 and 5 for each database represent the lowest and the highest risk of HPAI respectively. Our model showed that Jeollabuk-do, Chungcheongnam-do, Jeollanam-do and Chungcheongbuk-do regions will have the highest relative risk from HPAI. Areas with risk index value over 4.0 were Naju, Jeongeup, Anseong, Cheonan, Kochang, Iksan, Kyeongju and Kimje, indicating that Korea is at risk of HPAI introduction. Management and control of HPAI becomes difficult once the virus are established in domestic poultry populations; therefore, early detection and development of nationwide monitoring system through targeted surveillance of high-risk spots are priorities for preventing the future outbreaks.

• Journal of Korean Society of Rural Planning
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• v.29 no.3
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• pp.15-24
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• 2023

The sense of crisis regarding regional extinction due to low birth rates and an aging population is expanding. Generally, the local extinction index is used to analyze local extinction. However, it is challenging to diagnose the actual situation of village extinction risk in rural areas, even though the regional extinction index can be analyzed in units such as Si-Gun-Gu and Eup-Myeon-Dong. This difficulty arises because the regional extinction index solely relies on natural population growth indicators (elderly population and female population aged 20-39). Therefore, the purpose of this study is to develop a village extinction index that can identify the disappearance of rural villages. Additionally, the aim is to apply the developed indicators to the village (administrative ri) spatial unit. The existing regional extinction index used only mortality-related indicators as factors for natural population decline and fertility-related indicators as factors for natural population growth. However, the developed village extinction index included not only the factors of natural population change but also incorporated social population growth factors and factors related to the pace of village extinction. This is the key difference between the developed village extinction index and the existing regional extinction index. In this study, the indicators of "total population," "number of young women aged 20-44," "number of elderly population aged 70 or older," and "number of incoming population" were selected to develop a village extinction index. The village extinction index was developed by incorporating both natural population growth indicators and social population growth indicators. The developed village extinction index was applied to administrative villages. This research is expected to provide a more accurate understanding of the current state of rural villages facing extinction.

• Health Policy and Management
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• v.33 no.1
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• pp.65-74
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• 2023

Background: The government should find ways to improve the effectiveness of the policies to control the incidence and mortality of the infectious disease. The purpose of this study is to find out whether the trust in the government's ability to respond to coronavirus disease 2019 (COVID-19) affects the quarantine and hospitalization rate, incidence and mortality rates of COVID-19 and quarantine rules compliance in each region of Korea. Methods: The subject of this study is 250 regions (si·gun·gu) in Korea, and the 2020 Community Health Survey data from the Korea Disease Control and Prevention Agency (KDCA) was used for the trust in the government's ability to respond to COVID-19, quarantine and hospitalization rate and quarantine rules compliance. For the incidence and mortality of COVID-19 and community factors, data was obtained from KDCA and Korean Statistical Information Service. Path analysis was used to find out the degree of inter-variable influence, and community factors (socio-demographic factors, community health factors, and health behavior factors) were used as control variables. Results: The regional disparity in key variables showed that the late pandemic period cumulative incidence and mortality of COVID-19 were large, while the early pandemic period quarantine and hospitalization rate and quarantine rules compliance were small. Path analysis showed that when community factors were controlled, the trust in government was statistically significant in all of the late pandemic period cumulative incidence (p=0.024) and mortality (p=0.017), and quarantine rules compliance (p=0.011). Conclusion: This study revealed that the higher the trust in the government's ability to respond to COVID-19, the lower the COVID-19 mortality and the higher the quarantine rules compliance at the regional level in Korea. This suggests that when the government implements healthcare policies to control infectious diseases, it is necessary to consider trust to improve policy compliance and control the mortality of the disease and maintain high trust through several effective methods.

• Health Policy and Management
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• v.33 no.2
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• pp.118-128
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• 2023

Background: Personal socio-economic abilities are crucial as it affects health inequalities. These multidimensional inequalities across the regions have been structured and fixed. This study aimed to analyze health vulnerabilities by regional cluster and identify regional health disparities of self-rated health, using nationally representative cross-sectional data. Methods: This study used personal and regional data. Data from the Community Health Survey 2021 were analyzed. K-means cluster analysis was applied to 250 si-gun-gu using administrative regional data. The clusters were based on three areas: physical environment, health-related behaviors and biological factors, and the psychosocial environment through the conceptual framework for action on the social determinants of health. And binary logistic regression analyses were conducted to examine the differences in self-rated health status by the regional clusters, controlling human biology, environment, lifestyle, and healthcare organization factors. Results: The most vulnerable group was group 3, the moderate vulnerable group was group 1, and the least vulnerable group was group 2. The group 2 was more likely to have high self-rated health status than the moderate vulnerable group (odds ratio [OR], 1.023; p<0.001). And the group 3 showed low self-rated health status than the moderate vulnerable group (OR, 0.775; p<0.001). However, the moderate vulnerable group had significantly higher self-rated health status than the most vulnerable group (group 2: OR, 1.023; p<0.001; group 3: OR, 0.775; p<0.001). Conclusion: These results demonstrate that community members' health status is influenced by regional determinants of health and individual levels. And these contribute to understanding the importance of specific and differentiated interventions like locally tailored support programs considering both individual and regional health determinants.

• Journal of Korean Academy of Nursing
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• v.53 no.1
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• pp.101-114
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• 2023

Purpose: This study aimed to identify regional differences in problem drinking among adult males in single-person households and predict the determinants. Methods: This study used data from the 2019 Community Health Survey. Geographically weighted regression analysis was performed on 8,625 adult males in single-person households who had been consuming alcohol for the past year. The Si-Gun-Gu was selected as the spatial unit. Results: The top 10 regions for problem drinking among adult males in single-person households were located in the Jeju-do and Jeollanam-do areas near the southern coast, whereas the bottom 10 regions were located in the Incheon and northern Gyeonggi-do areas. Smoking, economic activity, and educational level were common factors affecting problem drinking among this population. Among the determinants of regional disparities in problem drinking among adult males in single-person households, personal factors included age, smoking, depression level, economic activity, educational level, and leisure activity, while regional factors included population and karaoke venue ratio. Conclusion: Problem drinking among adult males in single-person households varies by region, and the variables affecting each particular area differ. Therefore, it is necessary to develop interventions tailored to individuals and regions that reflect the characteristics of each region by prioritizing smoking, economic activity, and educational level as the common factors.