• International Area Studies Review
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• v.15 no.1
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• pp.495-522
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• 2011

In this study, a vector error correction model is considered to analyze the correlations among carbon emission, energy use and economic growth using countries adopted carbon tax such as Finland, Netherland, Newzealand, Sweden, and United Kingdom in the short-run dynamics. In order to examine the effect of a carbon tax on the carbon emission specifically for Finland, New zealand and Sweden in the cointegration coefficients among variables, the economic growth equation has the statistically significant negative value(positive values for Netherland and UK). This implies that in the case of the deviation from a long-run equilibrium all variables except carbon emission and energy use are adjusted toward decreasing. After introducing a carbon tax, all variables for Finland, New zealand and Sweden appear to be negative and positive values for the other countries. The evidence that the carbon emission and energy use have been decreased is very weak in the short-run for Finland, New zealand and Sweden but the economic growth is on the decrease after a carbon tax. However, the empirical results show that the increase in carbon emission leads to the decrease in production for Netherland and UK. This implies that for reducing the carbon emission, these countries need to provide more aggressive policies.

• Journal of Environmental Policy
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• v.13 no.1
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• pp.95-118
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• 2014

Environmental education is the most important and fundamental way to deal with the climate change. The school policy concentrating on environmental education, which has been established and financially supported by the Korea Ministry of Environment, provides an environment for natural experiment, examining the effect of reinforcing environmental education at schools on the energy-saving behaviours observed in the households concerned. We investigated the impact by applying the difference-in-difference measure to various utilities including water, electricity and gas between the households with children whose schools were designated as pilot environmental education schools in 2011 and the households with children attending general schools. The results showed that the households with children attending the pilot environmental education schools paid lower electricity and gas costs. This implies that environmental education provided at schools can indirectly affect the household energy saving behaviour and in turn reduce the total energy consumption in a short time.

• Environmental and Resource Economics Review
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• v.19 no.2
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• pp.215-242
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• 2010

This study constructs a bayesian neoclassical DSGE model that applies oil usage. The model includes technology shocks, oil price shocks, and shocks to energy policies as exogenous driving forces. First, this study aims to analyze the roles of these exogenous shocks in the Korean business cycle. Second, this study examines the effects of long-term changes in the energy consumption structure, including the reduction in oil use as a share of energy consumption and improvement in oil efficiency. In the case of oil price shocks, results show that these shocks exert recessionary pressure on the economy in line with those obtained in the previous literature. On the other hand, shocks to energy policies, which reduce oil consumption per capital, result in opposite consequences to oil price shocks, decreasing oil consumption. Also, counterfactual exercises show that long-term changes in the energy consumption structure would mitigate the contractionary effects of oil price shocks.

• Journal of Marine Life Science
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• v.5 no.1
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• pp.25-33
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• 2020

The Asan Bay, which has semi-diurnal tide with macro-tidal range, is affected by both freshwater discharge from the sluice gates in the sea dikes and tidal seawater inputs from the Yellow sea. Understanding water quality change in response to tides is important since tides can impact the short-term variations in physical and chemical water properties as well as the response of biological properties. The diel variations in water quality were seasonally investigated at 2 hour intervals from a fixed station in the Asan Bay. In the results, water temperature and salinity consistently fluctuated in phase or out of phase with tidal height. Especially salinity was positively correlated with tidal height. The concentrations of total suspended solids were higher in the bottom water than in the surface and fluctuated greatly over the tidal cycle recording higher values at low tide than at high tide. Nitrite+nitrate levels also fluctuated out of phase with tidal height and correlated negatively with tidal height. Other nutrients also showed a similar pattern. The pattern was distinct in July when freshwater was discharged before the field sampling. The concentrations of organic materials, total nitrogen and total phosphorus greatly fluctuated over the tidal cycle and were generally out of phase with tidal height. Most materials except particulate organic forms were correlated with salinity indicating that freshwater inputs were sources for the materials similarly to the dissolved inorganic nutrients. The results suggest that water quality (except dissolved oxygen and pH) and nutrients including organic materials was largely affected by tides in the Asan Bay.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.27 no.2
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• pp.49-70
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• 2022

Sea Surface Temperature (SST), one of the ocean features, has a significant impact on climate, marine ecosystem and human activities. Therefore, SST prediction has been always an important issue. Recently, deep learning has drawn much attentions, since it can predict SST by training past SST patterns. Compared to the numerical simulations, deep learning model is highly efficient, since it can estimate nonlinear relationships between input data. With the recent development of Graphics Processing Unit (GPU) in computer, large amounts of data can be calculated repeatedly and rapidly. In this study, Short-term SST will be predicted through Convolutional Neural Network (CNN)-based U-Net that can handle spatiotemporal data concurrently and overcome the drawbacks of previously existing deep learning-based models. The SST prediction performance depends on the seasonal and interannual SST variabilities around the southern coast of Korea. The predicted SST has a wide range of variance during spring and summer, while it has small range of variance during fall and winter. A wide range of variance also has a significant correlation with the change of the Pacific Decadal Oscillation (PDO) index. These results are found to be affected by the intensity of the seasonal and PDO-related interannual SST fronts and their intensity variations along the southern Korean seas. This study implies that the SST prediction performance using the developed deep learning model can be significantly varied by seasonal and interannual variabilities in SST.

• The Korean Journal of Financial Management
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• v.11 no.1
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• pp.123-155
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• 1994

자본시장개방(資本市場開放)의 장기계획(長期計劃) 아래 추진된 증권시장의 개방은 국내경제를 한단계 높은 수준의 개방경제(開放經濟) 체제(體制)로 전환시키는 계기를 제공하는 혜택(惠澤)이 있는 반면에, 개방으로 유입되는 해외투자자금이 주식시장은 물론 거시경제지표(巨視經濟指標)에 부정적 영향을 미치는 경우를 배제할 수 없다. 부정적 현상으로 단기투기성(短期投機性) 자금에 의한 주가의 단기급등(短期急騰)이나 거품현상, 실물경제의 기반없는 해외부문통화(海外部門通貨) 증발(蒸發)에 따른 물가와 금리불안(金利不安), 그리고 원화의 수요증가(需要增加)로 인한 평가절상(評價切上) 압력으로 국제수지의 악화 등이다. 증시개방 이후 유입된 해외주식투자(海外株式投資) 자본(資本)이 거시경제 변수인 통화(通貨), 환율(換率), 그리고 주식시장(株式市場)에 미친 영향을 일반회귀분석, ARCH, VAR등의 모형을 통하여 연동적(連動的)인 유기관계(有機關係)를 실증적으로 분석한다. 분석 결과 통화량(通貨量)과 환율(換率)이 해외유입 자본으로 인하여 예상했던 부정적 효과를 나타냈다는 것을 입증(立證)할 근거(根據)는 찾을 수 없었다. 주가와 거래량은 해외주식 투자자금이 유인된 후 약 2주이내에 상승하였지만, 해외주식 투자자금의 유입원인(流入原因)은 주가(株價)와 거래량(去來量)의 상승세(上昇勢)로 인한 것이 아니라 주식시장의 위험도(危險度)와 잠재성(潛在性)에 비하여 주가(株價)가 저평가되어 향후 고수익율이 보장된다는 기대가 주요한 요인이라고 결론내릴 수 있다.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.503-514
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• 2015

This study aims to analyze the relationship between transport infrastructure investment and rural development in Korea in a more systematic and empirical way. To do so, we formulate research framework to examine the multi-faceted relationship through extensive literature review and carry out a descriptive study on the spatial patterns of road investment and rural development in Korea. Finally, using the structural equation model, this study carries out the exploratory empirical analysis on the direct and indirect relationship between transport infrastructure investment and rural development. The study finds that the transport infrastructure investment in rural Korea impacts clearly on both the population base promotion and production and income growth through better accessibility. In addition, the investment has an indirect effects on the production and income growth through its influence on the population base promotion. This implies that the transport infrastructure investment in rural Korea so far exerts both long-term and short-term influences on rural development through various channels of impacts.

• The Journal of Korean Association of Computer Education
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• v.19 no.3
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• pp.11-19
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• 2016

Enhancement of computing education became an international phenominon including South Korea's revised national curriculum 2015. As the enhancement begins to focus on universal computing education, researches to investigate long-term effect of the enhancement is needed. To explore whether the reinforced computing education will bring which long-term impacts, this study investigated university students' experience on computer subject in their secondary schools, and major selection and achievement in a college computing course. As results, there was no statistically significant relation of taking the computer subject per se and major selection and achievement, but significant relation between contents of the subject, and major selection and achievement. This study has limitation on design and results lacking longitudinal data but contributes emphasizing need of longitudinal study to measure long-term effect of enhancement of computing education and providing clues of what impact it would bring.

• Korea Trade Review
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• v.42 no.2
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• pp.145-174
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• 2017

Recently, due to the worsening global economic recession, Korea which is a small, export-oriented economy has decreased exports and the domestic economy also continues to stagnate. Therefore, for continued growth of our economy through export growth, we need to analyze the validity of export support system such as export insurance and prepare ways to expand exports. This study is to investigate the effects of Export Insurance on the exports of SMEs as well as LEs. For this purpose, this study conducted Time Series Analysis using data such as export, export insurance acquisition, export price index, exchange rate, and coincident composite index(CCI). First, as a result of the Granger Causality Test, the exports of LEs has found to have a causal relationship with the CCI, and CCI is to have a causal relationship with the short-term export insurance record. Second, the results of VAR analysis show that the export insurance acquisition result and the export price index have a positive effect on the exports of LEs, while the short - term export insurance has a negative effect on the exports of LEs. Third, as a result of variance decomposition, the export of LEs has much more influenced for mid to long term by the short-term export insurance acquisition compared to SMEs. Fourth, short-term export insurance has a positive effect on exports of SMEs. In order to activate short-term export insurance against SMEs, it is necessary to expand support for SMEs by local governments. This study aims to suggest policy implications for establishing effective export insurance policy by analyzing the effects of export insurance on the export of SMEs as well as LEs. It is necessary to carry out a time series analysis on the export results according to the insurance acquisition results by industry to measure the export support effect of export insurance more precisely.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.205-205
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• 2011

우리나라의 중소하천에는 하상경사 조정과 농업용수 확보 등의 목적으로 많은 보가 설치되어 있다. 하천에 보를 설치하면 보를 기준으로 상 하류의 흐름특성이 변하고, 홍수시 소통이 원활하지 않아서 제방이 붕괴되는 등의 피해를 발생시킨다. 또한 유입유사의 흐름을 차단하여 상류단에 퇴적이, 하류단에는 침식을 발생시켜 하상변동이 일어나게 된다. 하상변동은 단기적으로는 하천에서의 취수, 배수와 주운 등 하천관리에 직접적인 영향을 주고, 장기적인 면에서는 하천 시설물의 안정, 홍수위 및 지하수위의 변화, 하천부지의 변화 등 하천 및 유역관리에 광범위한 영향을 주고 있다. 따라서 하천의 유황 및 하상재료의 인위적인 변화에 의한 하상변동을 예측하고 분석하는 것은 하천계획 및 운용 관리면에서 매우 중요하다. 본 연구는 경안천 유역에 설치된 보를 대상으로 설치 전의 지형자료 및 수리학적 자료를 이용하여 모델링을 하였고, 이를 토대로 설치 후의 수리학적 특성 및 하상변동을 분석하였다. 모델링은 종 횡단으로 모의할 수 있는 2차원 유한요소모형인 RMA-2를 이용하여 보를 설치하기 전 후의 수위, 유속 등의 흐름특성을 모의하였고, SED-2D를 이용하여 하상변동 특성을 비교 분석하고자 하였다. 그 결과 경안천 유역에 설치된 보로 인해 보의 상류단에서는 수위가 상승하고 유속이 감소하는 경향을 나타내고, 유사의 퇴적으로 인해 하상 상승이 발생하였다. 또한 보의 하류단에서는 보월류시 유속이 증가하여 수위가 하강하는 흐름특성을 보였고 침식이 발생하였다.