• 환경영향평가
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• 제22권3호
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• pp.231-240
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• 2013

The Purpose of this research was to propose positioning strategies of urban park (UP) based on the assessment of location characteristics at cheongju city. To do that, this research found out urban park service area (UPSA) using GIS network analysis and built socio-economic attribute database, UP map, and other public service thematic maps such as public transportation, education, child-care, and convenience services. And this research analyzed spatial and attribute data using Pearson's correlation analysis, multiple linear regression, and binary logistic regression methods. As a result of this analysis, 1) the nearer neighborhood park and children's park, the higher land price and assumption income level (AIL). 2) children's parks were closed to living convenience facilities such as bank, hospital, and convenience store. 3) land price, AIL, population, and other public services level (PSL) in UPSA were higher than that of non-UPSA. 4) The higher land price, AIL, population, and other PSL, the higher urban park service level. The results of this research may contribute to resolve the regional UP unbalance and to improve UP service level as public service.

• Current Research on Agriculture and Life Sciences
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• 제2권
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• pp.77-90
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• 1984

Results investigated backwater phenomena at Geumho river basin to get a basic data for Daegu basin area development plan are as the follows. 1. It is a A=0.35 L 1.848 (r = 0.97), the relationship between basin area and river length at Geumho river. 2. Dividing the rainfall of Geumho river basin as two parts, a first half rainfall and a second half rainfall, the amount of a first half rainfall appeared 57.5% comparison with total rainfall. 3. The maximum flood discharge appeared 12 hrs. continuous rainfall rather than 24 hrs. continuous rainfall. 4. Results investigated backwater phenomena from Geumho II bridge to chungchun appeared the rising water level of 69 cm, 55 cm, 44 cm, at section III in the starting point water level of 1.8 m, 2.4 m, 4.0 m respectively. 5. Results investigated backwater phenomena by the flood water level appeared a similar form. There was a average rising water level of 30 cm at section III. At the results of this computation, it was confirmed that section III was affected the highest backwater phenomena among the observed river reaches in Geumho river. In addition, this paper should be given a assistance to decide a economic and safe section in construction of bank of river and estuary barrage.

• 산업공학
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• 제18권3호
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• pp.268-276
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• 2005

In recent years, the money Laundering crimes are increasing by means of foreign exchange transactions. Our study proposes four scoring models to provide early warning of the laundering in foreign exchange transactions for both inward and outward remittances: logistic regression model, decision tree, neural network, and ensemble model which combines the three models. In terms of accuracy of test data, decision tree model is selected for the inward remittance and an ensemble model for the outward remittance. From our study results, the accumulated number of transaction turns out to be the most important predictor variable. The proposed scoring models deal with the transaction level and is expected to help the bank teller to detect the laundering related transactions in the early stage.

• 벤처창업연구
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• 제13권3호
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• pp.1-12
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• 2018

본 연구는 불평등과 기업가적 활동, 특히 창업활동의 관계를 분석하였다. 이를 위해 기업가적 활동을 국가수준에서 조사한 GEM (Global Entrepreneurship Monitor), 각 국가별 불평등 데이터인 WIID (World Income Inequality Database), World Bank에서 조사한 국가별 경제 데이터를 사용하여 불평등과 기업가적 활동의 관계를 실증 분석하였다. 그 결과, 불평등이 높은 국가에서 창업활동이 활발하다는 점을 확인할 수 있었다. 불평등과 창업활동의 관계에서 국내총생산(GDP)이 양의 조절효과를 가진다는 것도 확인되었다. 또한 소득 수준별 창업활동의 양상을 확인한 결과 저소득 계층에서 생계형 창업의 빈도가, 기회형 창업의 빈도는 고소득 계층에서 높다는 점도 나타났다. 본 연구는 불평등이 기업가적 활동을 가속화 할 수 있다고 추측할 수 있는 한 근거가 될 수 있다. 다만 보다 명확한 결론을 내리기 위해서는 향후 연구에서 좀 더 정밀한 연구 설계와 이에 따른 실증분석이 축적되어야 한다는 점은 분명하다.

• Journal of Korea Trade
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• 제23권3호
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• pp.1-19
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• 2019

Purpose - This research examines the effect of a foreign subsidiary on the productivity growth of a Two-way trading manufacturing firm in Korea. We explore firms engaged in both trade and FDI simultaneously to verify whether participation in GVC as a broad concept is an efficient internationalization strategy to increase the productivity of a Korean manufacturing firm. Design/methodology - Based on the firm-level data by utilizing the Survey of Business Activities from Statistics Korea, we examine the impact of vertically integrated foreign subsidiaries on the productivity of a manufacturing firm that exports and imports simultaneously. Findings - The results show that if a Two-way trading firm establishes one or more overseas subsidiaries, the total factor productivity growth increases. Moreover, the FDI effect is statistically significant when the destination country has an economically close relationship with Korea. However, these effects are disparate depending on the industrial competitiveness or market situation where the subsidiary is located. Nonetheless, the synergy effect resulting from industrial combination is represented in China and the USA only. Originality/value - As the importance of GVC has become more emphasized around the world. In spite of the scarcity of related domestic studies, we explored the effect of multinational manufacturing firms participating in GVC using firm-level data.

• 유통과학연구
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• 제20권7호
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• pp.23-33
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• 2022

Purpose: Although foreign capital flows have played a vital role in fostering the economic growth in recipient countries, there are some concerns about the adverse impact of international capital flows on the banking stability. Hence, the study revisits this issue to explore the relationship between the different types of foreign investments and banking stability in ASEAN region. Research design, data and methodology: Based on the bank-level data of 96 commercial banks and country-level in six ASEAN countries from 2008 to 2019, we perform the multivariate regression analysis and provide a variety of robustness tests. Results: Our empirical evidence shows the volatility of foreign portfolio investments has significantly negative effect on the banking stability, besides that of foreign other investments has the similar influence but the result is relatively less pronounced in some robustness tests. Additionally, increasing trade cooperation and international distribution may lead countries to face higher risk of banking instability driven from these international investments. Meanwhile, the impact of foreign direct investments is positive, but the evidence is the least obvious. Conclusions: Our findings suggest policy-makers in ASEAN and emerging nations as a whole should carefully consider when building policies-related to mitigate the adverse impact of foreign capital flows.

• 한국디지털건축인테리어학회논문집
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• 제10권2호
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• pp.13-20
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• 2010

Uncertainty in housing price fluctuation has great impact on the overall economy due to importance of housing market as both place of residence and investment target. Therefore, estimating housing market condition is a highly important task in terms of setting national policy. Primary indicator of the housing market is a ratio between rent and transaction price of housing. The research explores dynamic relationships between Rent-Transaction price ratio, housing transaction price and jeonse rental price, using Vector Autoregressive Model, in order to demonstrate significance of shifting rent-transaction price that is subject to changes in housing transaction and housing rental market. The research applied housing transaction price index and housing rental price index as an indicator to measure transaction and rental price of housing. The price index and data for price ratio was derived from statistical data of the Kookmin Bank. The time-series data contains monthly data ranging between January 1999 and November 2009; the data was log transformed to convert to level variable. The analysis result suggests that the rising ratio between rent-transaction price of housing should be interpreted as a precursor for rise of housing transaction price, rather than judging as a mere indicator of a current trend.

• 통상정보연구
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• 제19권2호
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• pp.3-24
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• 2017

국가의 정보화 수준은 해당 국가의 경쟁력에 중요한 영향을 미치는 기본 인프라로써 경제성과에 영향을 미친다. 세계화의 확산과 함께 전자 무역 등 정보화 관련 경제활동이 점차 활발해 지며 국가 ICT의 중요성은 더욱 커지고 있는 실정이다. 본 연구는 정보화 수준을 접근, 이용 그리고 활용 능력 세 가지 차원으로 세분화하여 국가의 경제적인 성과에 미치는 영향을 분석하고자 하였다. 특히, 국가의 경제발전 단계에 따라 정보화 수준의 경제적 영향력의 차이를 분석하여 선진국과 개발도상국의 국제 정보격차(digital divide)를 효과적으로 해소할 수 있는 방안을 도출하고자 하였다. 나아가 정부의 규제와 각국의 기업이 갖는 국제시장에서 경쟁 우위의 원천이 국가의 ICT가 가져오는 경제적 영향력에 대하여 조절적 역할을 수행하는지 검증하고자 하였다. International Telecommunication Union(ITU)의 ICT development Index(IDI)와 World Economic Forum(WEF), World bank에서 데이터를 수집하여 패널분석을 실시한 결과, 국가의 정보화 수준은 접근과 활용 측면에서 경제성장에 일관되게 유의미한 정의 영향을 미치는 것으로 나타났으며, 특히 개발도상국의 경우 영향력이 큰 것으로 분석되었다. 또한, 정보화 수준과 경제성장의 관계에 대하여 선진국의 경우 기업의 경쟁우위가, 개발도상국의 경우 정부의 규제가 유의하게 조절효과를 갖는 것을 확인하였다. 본 연구 결과에 따른 시사점에 대하여 논의하였다.

• 한국항만경제학회지
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• 제38권2호
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• pp.31-47
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• 2022

본 연구의 목적은 국가의 ESG 이행 성과와 유관한 세부 지표들을 분류 및 측정할 수 있는 신뢰성 있는 도구를 개발하여 그 적용 가능성에 대한 타당성을 검증하는 것이다. 투입 데이터로서 World Bank의 자료를 토대로 총 239개의 국가를 대상으로 측정한 67개 종류의 ESG 관련 세부 지표를 대상으로 구조방정식의 확인적요인분석과 경로분석을 시행하여 세부지표들을 환경, 사회, 지배구조의 3가지 부문으로 그룹화할 수 있는 최적 모형 도출을 시도하였다. 분석 결과 총 10개의 세부지표들이 국가의 ESG 이행성과와 통계적으로 유의한 관계가 있음을 확인하였다. 또한 해당 세부지표들은 1차 잠재변수인 E, S, G와 모두 양(+)의 상관관계를 보였으며, 모형의 적합도에서도 전반적으로 높은 지수를 보여 변수투입의 타당성 및 신뢰성을 확보하였다. 결과적으로 본 연구는 ESG를 구성하는 다수의 세부 성과 지표들의 잠재변수로의 분류가 가능함을 확인하였으며, 변수의 선정 방법 및 투입 타당성에 대한 명확한 기준을 제시하였다 할 수 있다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.31-31
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• 2023

During December 2022, the northeast monsoon, which dominates the south and the Gulf of Thailand, had significant rainfall that impacted the lower southern region, causing flash floods, landslides, blustery winds, and the river exceeding its bank. The Golok River, located in Narathiwat, divides the border between Thailand and Malaysia was also affected by rainfall. In flood management, instruments for measuring precipitation and water level have become important for assessing and forecasting the trend of situations and areas of risk. However, such regions are international borders, so the installed measuring telemetry system cannot measure the rainfall and water level of the entire area. This study aims to predict 72 hours of water level and evaluate the situation as information to support the government in making water management decisions, publicizing them to relevant agencies, and warning citizens during crisis events. This research is applied to machine learning (ML) for water level prediction of the Golok River, Lan Tu Bridge area, Sungai Golok Subdistrict, Su-ngai Golok District, Narathiwat Province, which is one of the major monitored rivers. The eXtreme Gradient Boosting (XGBoost) algorithm, a tree-based ensemble machine learning algorithm, was exploited to predict hourly water levels through the R programming language. Model training and testing were carried out utilizing observed hourly rainfall from the STH010 station and hourly water level data from the X.119A station between 2020 and 2022 as main prediction inputs. Furthermore, this model applies hourly spatial rainfall forecasting data from Weather Research and Forecasting and Regional Ocean Model System models (WRF-ROMs) provided by Hydro-Informatics Institute (HII) as input, allowing the model to predict the hourly water level in the Golok River. The evaluation of the predicted performances using the statistical performance metrics, delivering an R-square of 0.96 can validate the results as robust forecasting outcomes. The result shows that the predicted water level at the X.119A telemetry station (Golok River) is in a steady decline, which relates to the input data of predicted 72-hour rainfall from WRF-ROMs having decreased. In short, the relationship between input and result can be used to evaluate flood situations. Here, the data is contributed to the Operational support to the Special Water Resources Management Operation Center in Southern Thailand for flood preparedness and response to make intelligent decisions on water management during crisis occurrences, as well as to be prepared and prevent loss and harm to citizens.