• 보건행정학회지
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• 제26권1호
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• pp.30-38
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• 2016

Background: This study purposed to analyze the relationship between spatial distribution of Diabetes prevalence rates and regional variables. Methods: The unit of analysis was administrative districts of city gun gu. Dependent variable was the age- and sex- adjusted diabetes prevalence rates and regional variables were selected to represent three aspects: demographic and socioeconomic factor, health and medical factor, and physical environment factor. Along with the traditional ordinary least square (OLS) regression analysis, geographically weighted regression (GWR) was applied for the spatial analysis. Results: Analysis results showed that age- and sex-adjusted diabetes prevalence rates were varied depending on regions. OLS regression showed that diabetes prevalence rates had significant relationships with percent of population over age 65 and financial independence rate. In GWR, the effects of regional variables were not consistent. These results provide information to health policy makers. Conclusion: Regional characteristics should be considered in allocating health resources and developing health related programs for the regional disease management.

• 재무관리연구
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• 제15권2호
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• pp.401-419
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• 1998

This paper examines the international arbitrage pricing model (IAPM) in regional equity markets setting. Factor analyses are used to estimate the international common risk factors. And the cross-sectional regression analyses are used to test the validity of regional IAPMs and Chow tests are used to evaluate the integration of regional equity markets. The results of factor analyses show that the number of common factors in each regional group is seven. The cross-sectional regression results lead us not to reject that the IAPMs are regionally valid but Chow test results lead us to reject that regional equity markets are integrated.

• 한국산학기술학회논문지
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• 제14권7호
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• pp.3223-3231
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• 2013

주민의 안전한 생활을 보장할 수 있는 소방서비스를 충분히 제공하기 위하여 지방재정인 소방예산을 증가시킬 필요성이 있다. 그런데 소방예산을 증가시킬 수 있는 하나의 방법은 소방의 목적세인 지역자원시설세를 개편하는 것이다. 이 연구의 목적은 지역자원시설세와 소방예산, 소방사업비예산, 사회 경제적 요인, 소방수요 간의 관계를 살펴보는 것이다. 이를 위하여 본 연구는 과거의 연구와 이론적 분석을 통하여 5가지 가설들을 설정하였다. 이 가설을 검증하기 위한 통계적 방법은 회귀분석과 t검증이다. 가설의 검증 결과, 지역자원시설세는 소방예산과 소방사업비 예산에 유의적인 정의 관계를 보이고 있었으며, 사회 경제적인 요인도 지역자원시설세에 유의적인 정의 관계를 보였다. 또한 소방수요 변수 중에서 화재, 구조변수가 지역자원시설세에 유의적인 관계를 보이고, 구급, 잠재적 수요변수는 유의적이지 않았다.

• 한국물환경학회지
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• 제30권3호
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• pp.351-360
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• 2014

The allocation of margin of safety (MOS) at a uniform rate to all areas of the unit watershed makes it very difficult to keep the load allotment stable in the area for lack of reduction measures like forest land. This study developed an equation to calculate margin of safety differentially according to the regional characteristics. The equation was formulated on the basis of the regional characteristic factors such as a load contribution factor for land use type and a site conversion factor for the unit watershed. The load contribution factor represents a contribution of loads from a particular land use. The site conversion factor was derived from the site conversion ratio of a unit watershed. Margin of safety for the non-point pollution load in the land use sector decreased by 20~25% in three river basins. The margin of safety in the unit watersheds with low site occupation ratios decreased in high rate, while in the unit watersheds with large urban area decreased in low rate. With the application of the differential margin of safety considering regional characteristics, not only the reduction of pollution loads can become lighter but also it can be easier to develop plans for Total Maximum Daily Loads (TMDLs) even where the reduction measures are not available.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.260-260
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• 2016

Soil erosion is a very serious problem from agricultural as well as environmental point of view. Various computer models have been used to estimate soil erosion and assess erosion control practice. Universal Soil loss equation (USLE) is a popular model which has been used in many countries around the world. Erosivity (USLE R-factor) is one of the USLE input parameters to reflect impacts of rainfall in computing soil loss. Value of R factor depends upon Energy (E) and maximum rainfall intensity of specific period ($I30_{max}$) of that rainfall event and thus can be calculated using higher temporal resolution rainfall data such as 10 minute interval. But 10 minute interval rainfall data may not be available in every part of the world. In that case we can use hourly rainfall data to compute this R factor. Maximum 60 minute rainfall ($I60_{max}$) can be used instead of maximum 30 minute rainfall ($I30_{max}$) as suggested by USLE manual. But the value of Average annual R factor computed using hourly rainfall data needs some correction factor so that it can be used in USLE model. The objective of our study are to derive relation between averages annual R factor values using 10 minute interval and hourly rainfall data and to determine correction coefficient for R factor using hourly Rainfall data.75 weather stations of Korea were selected for our study. Ten minute interval rainfall data for these stations were obtained from Korea Meteorological Administration (KMA) and these data were changed to hourly rainfall data. R factor and $I60_{max}$ obtained from hourly rainfall data were compared with R factor and $I30_{max}$ obtained from 10 minute interval data. Linear relation between Average annual R factor obtained from 10 minute interval rainfall and from hourly data was derived with $R^2=0.69$. Correction coefficient was developed for the R factor calculated using hourly rainfall data.. Similarly, the relation was obtained between event wise $I30_{max}$ and $I60_{max}$ with higher $R^2$ value of 0.91. Thus $I30_{max}$ can be estimated from I60max with higher accuracy and thus the hourly rainfall data can be used to determine R factor more precisely by multiplying Energy of each rainfall event with this corrected $I60_{max}$.

• 한국지리정보학회지
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• 제3권2호
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• pp.37-47
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• 2000

도시와 농촌간의 균형 있는 발전을 유도하기 위해서 탄생된 도농통합시는 지역특성을 고려하지 않은 무분별한 개발양상으로 인해 지역적 불균형이 더욱 심화되고 있는 실정이다. 따라서, 본 연구는 경상북도의 도농통합시를 대상으로 지속가능한 공간계획을 수립하기 위한 선행연구로서 지역특성 및 유형화 분석을 수행하고자 하였다. 먼저, 지역특성을 규명하기 위해서 인구규모, 농업구조, 생활환경 등이 반영된 변수들을 중심으로 인자분석을 적용한 결과, 개발지향적 인자, 농업적 인자, 생활환경적 인자, 미작적 인자, 과수적 인자가 추출되었고, 지역유형은 과수농업중심형, 중 소규모 농업형, 과소 침체 농촌형, 도시화 진행형, 도시 농촌 혼재형, 동남부해안 공업형으로 군집화되었으며, 지역유형구분의 신뢰도를 통계적으로 검증하기 위해 판별분석을 적용한 결과, 제II, V, VI유형은 100%이고, 나머지 유형은 90%정도의 신뢰도를 가지는 것으로 나타났다.

• Journal of Korea Trade
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• 제24권3호
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• pp.20-36
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• 2020

Purpose - As the global product network expands through both internationalization and diversification of the multimodal transportation system, corporate strategies have shifted to emphasize the importance of a high value-added international logistics system. To guide policies and strategies to attract relevant industries, this study aims to analyze the location competitiveness of regional logistics distribution center to serve Northeast Asia. Design/methodology - Multi-criteria techniques are considered to offer a promising framework for evaluating decision-making factors. This paper employed an analytic hierarchy process to analyze the hierarchal structure of determinants for selecting the location of a regional logistics distribution center. Adopting both qualitative and quantitative evaluations, this study suggest political implications for a regional logistics distribution center development, such as the direction of political support, service differentiation and infrastructure development. Findings - This study developed a location competitiveness evaluation model, based on the case study of the major port-cities in Northeast Asia. Evaluation model incorporates five factors underpinning 17 components extracted using factor analysis. The results revealed that the logistics factor is the most significant factor for evaluating the competitiveness of a regional logistics distribution center. The remaining factors were market, costs, and services environment. Comparing qualitative and quantitative evaluations, results provide useful insights for a regional logistics distribution center development in Northeast Asia. Originality/value - This study revealed differences between qualitative and quantitative evaluations. The finding implies that prior works on evaluation models of competitiveness has not successfully measured the gap between quantitative data and expert' evaluations. To overcome this limitation, this paper considered both actual data such as actual distance, cost, the number of companies located, and expert opinions.

• 지역연구
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• 제14권1호
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• pp.47-64
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• 1998

This paper attempts to forecast regional economic changes and to analyze government polices for interregional balanced economic growth in case of Korea Reunification. It begins with be reunified at the year 2010. The model is largely neoclassical. Since the future of North Korea is unclear, two possible scenarios are presented. The paper projects economic growth of regions, specifically forecasting growth of regions, specifically forecasting GRDP, the number of migrants and the quantity of moving capital. The results obtained show that spatially unbalanced economic growth will take place in the reunified Korea through factor movement. Two polices including public capital provision policy and income subsidy policy are thus suggested and analyed.

• 한국방재학회 논문집
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• 제6권3호
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• pp.1-8
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• 2006

지진 지역계수는 역사지진과 계기지진의 기록을 기초로 한 지진의 지역성이 고려된 지역적 지진특성을 고려하여 평가되어진다. 본 연구는 국내 지진자료의 분석을 통해 지역별 지진발생 특성을 정리하고 국내의 지진환경 특성을 검토하여 지진지역 계수 설정을 위한 기초 자료의 제공을 목적으로 한다. 이 연구를 통해 역사지진과 계기지진에 각각의 특성을 정리하였고 이를 비교하여 우리나라의 지진발생 특성에 대한 기초 자료를 얻을 수 있었다.

• Communications for Statistical Applications and Methods
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• 제25권4호
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• pp.341-354
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• 2018

The one of the principles described in ICH E9 is that only results obtained from pre-specified statistical methods in a protocol are regarded as confirmatory evidence. However, in multi-regional clinical trials, even when results obtained from pre-specified statistical methods in protocol are significant, it does not guarantee that the test treatment is approved by regional regulatory agencies. In other words, there is no so-called global approval, and each regional regulatory agency makes its own decision in the face of the same set of data from a multi-regional clinical trial. Under this situation, there are two natural methods a regional regulatory agency can use to estimate the treatment effect in a particular region. The first method is to use the overall treatment estimate, which is to extrapolate the overall result to the region of interest. The second method is to use regional treatment estimate. If the treatment effect is completely identical across all regions, it is obvious that the overall treatment estimator is more efficient than the regional treatment estimator. However, it is not possible to confirm statistically that the treatment effect is completely identical in all regions. Furthermore, some magnitude of regional differences within the range of clinical relevance may naturally exist for various reasons due to, for instance, intrinsic and extrinsic factors. Nevertheless, if the magnitude of regional differences is relatively small, a conventional method to estimate the treatment effect in the region of interest is to extrapolate the overall result to that region. The purpose of this paper is to investigate the effects produced by this type of extrapolation via estimations, followed by hypothesis testing of the treatment effect in the region of interest. This paper is written from the viewpoint of regional regulatory agencies.