• Title/Summary/Keyword: 시군구

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Aggregate of Korea in 2022 (2022년 한국의 골재)

  • Sei Sun Hong;Jin Young Lee
    • Economic and Environmental Geology
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    • v.56 no.6
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    • pp.871-885
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    • 2023
  • In 2022, the total of 129 million m3 of aggregate was produced in Korea, a slightly decrease from the total production of 2021. Of these, about 44 million m3 of sand and about 84 million m3 of gravel were produced. About 41% of total quantity of aggregates were produced by permission and the rest were produced after declaration. It estimated that of the 129 million m3 of aggregates in Korea in 2022, about 54.9% was produced by screening crushed aggregate, by 32.8% by forest aggregate, 2.2% by land aggregate, 6.2% by marine aggregate and 3.1% by washing aggregate, and 0.3% by river aggregate. This indicates that screening crushed and forest aggregate are the main producers of domestic aggregate in 2022. Leading producing metropolitan governments were Gyeonggi-do, Gyeongsangnam-do, Chungcheongnam-do, Incheon, Jeollanam-do, Chungcheongbuk-do, Gangwon-do, Gyeongsangbuk-do in order decreasing volume. In 2022, aggregates were produced in 147 local governments, and the 10 leading producing local governments were, in descending order of volume, Hwaseong, Pocheon, Paju, Ongjin, Youngin, Gwangju, west EEZ, Incheon Seo-gu, Namyangju, Asan. The combined production of the 10 leading local governments accounted for 31% of the national total. And 44 local governments have produced aggregates of more than 1 million m3 each other. In 148 local governments that produced aggregate, a total of 800 active operations produced aggregate with 350 operations by river, land and forest aggregate, 450 operations by selective crushed and washing aggregate.

Actual Analysis of the Interrelationship between Evaluation Indicators of Communicable Disease Control and Prevention Activities and Communicable Disease Incidence Data (법정감염병 발생자료와 감염병관리사업 평가지표와의 관계 실증분석)

  • Kim, Min-Jun;Hong, Jee-Young;Lee, Moo-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.12
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    • pp.7179-7186
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    • 2014
  • This study examined the interrelationship between the evaluation indicators of communicable disease control and prevention activities, and the communicable disease incidence data. This study analyzed the incidence data of communicable disease in local governments of south Korea and evaluated the data of communicable disease control and prevention activities by the Ministry of Health of the central government in South Korea during 2004-2005. Frequency analysis was carried out to understand the character of the participant, t-test to compare the mean value between the two groups and stepwise multiple regression analysis to understand the significance between the dependent and independent variables. In this study, the finance related to communicable diseases (group I diseases in both city and rural center), keep rate of periodic reports on notifiable communicable diseases based on the law for communicable disease control and prevention (group II in city), the level of education on personal hygiene (group II in rural center), level of education on AIDS prevention and the reporting rate of cases of tuberculosis (group III in city), and reporting rate of incident cases of tuberculosis (tuberculosis and Hansen disease in both rural and city) were significant indicators. The level of education on AIDS prevention and the reporting rate of the cases of tuberculosis (in city), and number of adverse reactions after immunization (in rural area), reporting rate of cases of tuberculosis (in total center) were significant indicators in total communicable disease and all types of public health centers. The authors verified core evaluation indicators as actual proof. This study provides useful data for a summative evaluation, standardization, and guidelines on communicable disease control and prevention activities of public health centers and local government.

Exploring Multidimensional Public Health Data Using Self Organizing Map and GIS (자기조직화지도와 GIS를 이용한 다차원 공중보건자료의 탐구적 분석)

  • Sohn, Chul
    • Spatial Information Research
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    • v.20 no.6
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    • pp.23-32
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    • 2012
  • This study applied an exploratory analysis based on Self Organizing Map and GIS to cause specific age-standardized regional death rates data related to ten types of male cancers to find meaning patterns in the data. Then the patterns revealed from the exploratory analysis was evaluated to investigate possible relationship between these patterns and regional socio-economic status represented by regional educational attainment levels of head of household. The results from this analysis show that SI-GUN-GUs in Korea can be clustered to eighteen unique clusters in the stand point of male cancer death rates and these clusters are also spatially clustered. Also, the results reveal that regions with higher socio-economic status show lower level of the death rates compared with the regions with lower socio-economic status. However, for some cancer types, the regions with higher socio-economic status show relatively higher death rates. These patterns imply that the prevention, detection, and treatment of male cancers might be strongly affected by regional factors such as socio-economic status, environmental factors, and cultures and norms in Korea. Especially, one of the eighteen clusters, which includes Gangnam-Gu and Seocho-Gu, shows lower death rates in many of male cancer types. This implies that socio-economic status may be one of the most influential factors for regional cancer control.

Estimating O-D Trips Between Sub-divided Smaller Zones Within a Traffic Analysis Zone (대존 세분화에 따른 내부 소존 간의 O-D 통행량 추정 방법)

  • KIM, Jung In;KIM, Ikki
    • Journal of Korean Society of Transportation
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    • v.33 no.6
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    • pp.575-583
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    • 2015
  • The Korea Transport Institute (KOTI) builds the origin and destination(O-D) trip data with relatively smaller zone size such as Eup, Myeon, Dong administration unit districts in metropolitan area. Otherwise, O-D trip data was built by bigger size of traffic analysis zone(TAZ) such as Si, Gun, Gu administration unit districts for rural area. In some cases, it is needed to divide a zone into several sub-zones for rural area in order to analyze travel distribution pattern in detail for a certain highway and rail project. The study suggested a method to estimate O-D trips for sub-zones in the larger-size zones in rural area. Two different distribution models, direct demand model and gravity model, were calibrated for sub-zone's intra-zonal O-D trip pattern with metropolitan area O-D data which has smaller zone-size (sub-zone) data categorized by low, middle and high population density. The calibration results were compared between the two models. The gravity model with impedance function of power functional form was selected with better explanation for all groups in the metropolitan area. The adjusted $R^2$ was 0.7426, 0.6456 and 0.7194 for low, middle and high population density group, respectively. The suggested O-D trip estimating method is expected to produce enhanced trip patterns with sub-divided small zones.

A Markov Chain Model for Population Distribution Prediction Considering Spatio-Temporal Characteristics by Migration Factors (이동요인별 시·공간적 인구이동 특성을 고려한 인구분포 예측: 마르코프 연쇄 모형을 활용하여)

  • Park, So Hyun;Lee, Keumsook
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.3
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    • pp.351-365
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    • 2019
  • This study aims to predict the changes in population distribution in Korea by considering spatio-temporal characteristics of major migration reasons. For the purpose, we analyze the spatio-temporal characteristics of each major migration reason(such as job, family, housing, and education) and estimate the transition probability, respectively. By appling Markov chain model processes with the ChapmanKolmogorov equation based on the transition probability, we predict the changes in the population distribution for the next six years. As the results, we found that there were differences of population changes by regions, while there were geographic movements into metropolitan areas and cities in general. The methodologies and the results presented in this study can be utilized for the provision of customized planning policies. In the long run, it can be used as a basis for planning and enforcing regionally tailored policies that strengthen inflow factors and improve outflow factors based on the trends of population inflow and outflow by region by movement factors as well as identify the patterns of population inflow and outflow in each region and predict future population volatility.

The Analysis of Industrial Concentration in Medical Clinic, Dental Clinic, and Oriental Clinic (의원, 치과의원, 한의원에 대한 산업집중도 분석)

  • Kim, Pil-jong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.4
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    • pp.401-408
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    • 2019
  • This study was conducted to analyze the industrial concentration of the districts, cities and counties among clinics, dental clinics, and Oriental clinics. For this purpose, the sales from 1996 to 2015 in five-year intervals were analyzed by the Heifindal-Hirschmann index (HHI). The results of this study showed that the competition index represented by the HHI tended to intensify as a whole. Especially in the county area, HHI tended to be in comparison with other regions, but decreased with statistically significance. On average, the HHI was higher in the county than in the district and city areas. In the case of the clinic, the HHI of the county area tended to decrease. In the case of the dental clinic, the HHI tended to decrease in the city and county, while in the Oriental clinic the HHI tended to decrease in the district, city and county. Overall, monopolies were present in the county, but competition strengthened over time. In the case of clinics, competition is intensifying in country. area. In the case of dental clinics, competition in the city and country areas has not yet reached saturation. In the case of Oriental clinics, competition in all regions has not yet been saturated, and competition in the distinct market has been most intense.

Regional Variation of EQ-5D Index and Related Factors in Community Health Survey: Major Role of Psychosocial Factors in Korea (지역사회건강조사에서 EQ-5D index의 지역간 변이와 관련 요인: 사회심리적 요인의 중요성)

  • Kim, Eunsu;Nam, Hae-Sung
    • Journal of agricultural medicine and community health
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    • v.45 no.4
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    • pp.183-193
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    • 2020
  • Objectives: As an ecological study, this study was performed to identify the community-level variation of health related quality-of-life (HRQOL), and to explore the factors that explain the variation, using 2017 Korean Community Health Survey (KCHS) data. Methods: Community health indicators of KCHS, which are correlated with the EQ-5D index of Si-gun-gu districts, were selected as independent variables. Multiple linear regression model was used to derive factors that explain regional variations in the EQ-5D index. Results: The EQ-5D index variation in 229 districts nationwide was 1.1 times for extremal quotient (EQ) and 1.0 for coefficient of variance (CV). The Si-gun-gu districts with the EQ-5D index in the lower 25% were more distributed in the province (27.7%) than in the metropolitan area (20.3%). As a result of multiple linear regression analysis, the depressed mood experience rate, perceived stress rate, suicide ideation rate, and physician diagnosed arthritis rate were derived as major factors of the variation. Conclusions: In order to reduce the gap in HRQOL between the districts, the priority of local health policies should be placed on the above factors including psychosocial factors.

The Spillover Effects of Fluctuations in Apartment Sales Prices in the Capital Region (수도권 아파트 매매가격 변동의 확산효과)

  • Jeong, Jun Ho
    • Journal of the Economic Geographical Society of Korea
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    • v.25 no.1
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    • pp.147-170
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    • 2022
  • This article analyzes the spillover effects by dividing the weekly rate of return on apartment prices in 70 si-gun-gu (local area) in the Capital Region into three periods: the entire period (April 2008~August 2021); the period before the price surge (April 2008~October 2018); and the period of price surge (November, 2018~August 2021), based on a consideration of the cycle of fluctuations in apartment sales prices and the timing of the current government's policy interventions. The results obtained from this analysis are summarized as follows. First, the analysis of the spillover effects is similar to or different from the results of existing work depending on the period. The analysis of the spillover effects on the entire period and the period before the price surge shows that the 'Gangnam' effect exists in the apartment market in the Capital Region. On the other hand, the analysis of the spillover effects on the period of price surge reveals different results than before. The spillover effect index calculated through the analysis of the rolling sample decreases during the decline in the cycle of apartment sales prices, while the opposite trend is shown during the upward period. Looking at the timing between the peak of the spillover effect index and policy interventions, it appears that the government's policy interventions took place after the peak of the spillover effect index in 2017, before the peak in 2018 and 2019, and around or after the peak after 2020.

An Investigation of Pine Wilt Damage by Using Ground Remote Sensing Technique (지상형 원격탐사기술을 이용한 소나무 재선충 피해조사)

  • Kim, Eung-Nam;Kim, Dae-Young
    • Journal of the Korean association of regional geographers
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    • v.14 no.1
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    • pp.84-92
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    • 2008
  • The first pine wilt damage in Korea, which called AIDS of pine, was found out at Mt. Geumjeong of Pusan province in 1988. The damage area spread 53's city, Gun, Gu throughout the Gyeongsangnamdo in December 2005 since then find out. The best treatment for these damaged forests is well known as fumigation method after early detection. But early detection by an observer is very difficult because of the damaged forest areas are spread over huge range. Also the access of observer is difficult in condition of Korea topographical characteristic. In this study, an attempt was done to investigation about early detection of pine wilt damage using near infrared CCD camera.

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Determinants of Healthy Living Practice: County Approach (지역별 건강생활 실천율의 영향요인: 시군구 단위 접근)

  • Jeong, Cho Rok;Kim, Ji Man;Park, Chong Yon;Shin, Euichul;Tchoe, Byongho
    • Health Policy and Management
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    • v.30 no.3
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    • pp.376-385
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    • 2020
  • Background: The purpose of this study is to investigate the factors affecting the healthy living practice rate such as non-smoking, moderate drinking, walking, and low-salt diet by elementary municipality (so called, 'si-gun-hu'). Methods: The 2016 Korean Community Health Survey was used for the analysis. The theoretical model is founded upon the Anderson model, and both the multiple linear regression analysis and the beta regression analysis was performed for estimation. Results: As a result of the beta regression analysis, healthy living practice rate was found to be significantly higher in the areas with a less number of cigarette retailers, participating in healthy city projects, a low proportion of people who perceive their body type as obesity, a higher proportion of women, and a lower proportion of spouses. Conclusion: In order to improve healthy living practices, the regulations on health risk businesses, the spread of Healthy City project, and policy efforts awaring obesity are recommended.