Soil water enters the atmosphere via evapotranspiration, where it transforms into atmospheric water vapor and plays important role in the surface-atmosphere energy exchange. Soil conditions have a direct influence on the effective rainfall, and initial soil moisture conditions are important for quantitatively evaluating the effective rainfall in a watershed. To examine the sensitivity of the initial saturation to hydrologic outflow, a two-dimensional distributed FLO-2D hydrologic model was applied to a small watershed. The initial saturation was set to 0.3, 0.5, and 0.7 and the obtained results were compared. The Green-ampt model was chosen to calculate the penetration loss. Depending on the initial soil moisture, the peak flow rate varied by up to 60%, and the total water volume in the watershed by approximately 40%.

This study analyzed how the impacts of major teleconnection patterns on December mean temperature in Korea have been changed during the period before and after the regime shift of 1986 for the last 61 years from 1958 to 2018. During the period before the regime shift, the teleconnection patterns originating from the North Atlantic mainly affected the temperature variability in Korea, but its influence almost disappeared after the regime shift. On the other hand, the Arctic Oscillation (AO) and warm Arctic and cold Eurasia (WACE) patterns played a more important role in the temperature variability in Korea after the regime shift. Regression analysis showed that the AO could explain about 12% of the total temperature variability before the regime shift, but about 22% after the regime shift. WACE pattern also explained about 4% before the regime shift, but after the regime shift, the importance increased by about 4.5 times to 18%. On the other hand, East Atlantic pattern (EA) and North Atlantic Oscillation (NAO), which are east-west teleconnection patterns, explained 27% and 11%, respectively, before the regime shift, but had little influence within 3% after the regime shift. This means that the influence of east-west teleconnection patterns disappeared after the regime shift, and teleconnection patterns by the Arctic Circle became more important.

Climate change is considered as a major threat for agricultural production in Vietnam, particularly for coffee production, one of the most important agricultural sectors of the country. To effectively cope with the negative impacts of climate change on coffee production, the ways of understanding and also adequate responses by farmers on the climate change are very important. This paper aims to provide empirical insights into the farmers’ perception of climate change and their adaptation practices to its impacts on coffee production. The results from the questionnaire survey of 151 smallholder coffee farmers in Dak Nong province reveal the fact that the farmers understood the progress and impact of climate change through their observation into their surrounding areas. Coffee growers’ observation about the climate variability is remarkably consistent with the statistical data from the meteorological authority. However, this research revealed that their capacity to cope with climate change was relatively limited, mostly based on their own resources. This research suggests that more studies are required to examine the application of environmentally sustainable approaches to cope with climate changes.

The study aims to investigate the dual effects of corruption control on economic growth in relationship with the stock market and trade openness in developing countries. The study used difference S-GMM method on the dynamic panel data model in the period (2002-2017) with data collected from the World Bank. The study discovers the dominant impacts of corruption control in the relationship with the stock market on economic growth. At the same time, the study also confirms the overwhelming impact of corruption control in the relationship between trade openness and economic growth in the developing countries. In addition, the study shows that inefficient stock markets in developing countries will not promote economic growth. Meanwhile, the long-standing credit market has a positive impact on economic growth. With the strong development of stock market and trade openness in the period (2002-2017), control on corruption in developing countries does not get better in time with the increase in demand. The findings of this study suggest a number of solutions to strengthen corruption control, leading to the increased efficiency on the stock market and as well as encouraging the positive effects of trade openness to contribute to promoting economic growth in developing countries.

The COVID 19 pandemic has led to a new global recession and is still causing a lot of issues because of the delays in the employment of people. This scenario has severe consequences for many countries’ labor markets in the world. This problem’s complexity and importance requires an integrated method of subjective and objective evaluation rather than intuitive decisions. This research aims to investigate sustainable indexes for assessing the unemployment problem by using a Multi-Criteria Decision-Making Model (MCDM). Grey theory and Decision Making Trial and Evaluation Laboratory (GDEMATEL) are deployed to transform the experts’ opinions into quantitative data. The analysis based on 20 crucial criteria is employed to determine the weights of sustainability of unemployment problems. The results revealed that the top ten of determinants are Economic growth, Industrialization, Foreign direct investment, Real GDP per capita, Education level, Trade Openness, Capacity Utilization Rate, Urbanization, Employability skills, Education system expansion, which have the most significant effects on the unemployment rate under COVID 19 impacts. Furthermore, GDEMATEL could effectively assess the sustainable indicators for unemployment problems in “deep and wide” aspects. The study proposes the Grey MCDM model, contributes to the literature, provides future research directions, and helps policymakers and researchers achieve the best solutions to the unemployment problems under “economic shocks.”

Extreme low temperature has various effects on society. It has negative impacts on health, industry, agriculture, and transportation during winter season. Therefore, extreme low temperature is recognized as main factor that causing traffic accidents. This study analyzed the relationship between low temperature and traffic accidents from 2012 to 2018. This study also compared the differences in vulnerability to low temperature between urban and rural areas. Generalized Additive Model (GAM) and Poisson regression model are used to estimate the thresholds and the level of traffic accidents. The results show that the thresholds tend to be decreased gradually, but the level of traffic accidents are more likely to increase in both urban and rural areas Comparatively, rural areas are more vulnerable to traffic accident caused by drop in temperature than urban areas.

This study was conducted to analyze the impact of industrial park development on the livelihood of people living around the industrial parks in the Central region of Vietnam. The data was collected from 394 households living around these industrial parks; using the data, the authors employed a quantification model among factors affecting the income of families living in the surroundings of industrial parks and they calculate the adaptive capacity of households to consider the impact of the development of industrial parks on people’s livelihood. Research findings show that industrial park development has both positive and negative impacts on the livelihood of people living around the industrial parks. Specifically, the factors that positively affect the income of households living around industrial parks include the area of land acquired due to the construction of industrial parks, the transportation system after the industrial park has located there, and the number of jobs available when the industrial park is being built. The factor that negatively affects the income of households living around industrial parks when they are under construction is the number of unemployed laborers. The study also calculated that the adaptive capacity of the people after the industrial park development is a coefficient of 0.376.

The purpose of this study is to examine the trends of extreme temperature events in East Asia over the past 40 years (1979-2018) and their potential relationships with recent changes in the Northern Hemisphere cryosphere. Analyses of Sen’s slope and Mann-Kendall tests are performed for time series data of extreme temperature events extracted from NCEP-DOE reanalysis II Gaussian grid daily 2-m air temperature data. As the result, it is found that extreme high temperature events exceeding the 99th percentile show more noticeable increasing trends than the magnitude of the decreasing extreme low temperature events below the 1st percentile particularly in Mongolia, Korean Peninsula and southern China due to unexpected cold events since the late 2000s. Correlation analyses based on Kendall’s tau indicate that the reduction of spring-early summer Eurasian snow cover (data from Rutgers University Global Snow Lab.) may lead to the increasing tendency of extreme high temperature events in East Asia through snow albedo feedbacks, while paradoxically the reducing autumn-early winter Arctic sea ice (data from NSIDC) due to global warming seems to cause more frequent extreme low temperature events in recent years through the amplification of Rossby waves. Thus, it is needed to continue monitoring the feedbacks between changing Arctic cryosphere and East Asian climate systems in the warmer 21st century.

This study aims to investigate the effect of oil price and exchange rate on the two Vietnamese stock market indices: VN index and HXN index. This study uses the daily data from August 1st 2000 to October 25th 2019 of the two Vietnamese stock indices: VN index and HNX index, the two oil price indices: BRENT and WTI, and the two exchange rates: US dollar to Vietnamese dong and Euro to Vietnamese dong. Due to the presence of heteroskedasticity in our data, we use GARCH (1,1) regression model to perform our analysis. Our findings show that the oil price has a significant positive effect on the two Vietnamese stock market indices. In terms of the stock index volatility, both the VN index and HNX index volatilities are negatively impacted by the return of oil price. While the conclusion about the impact of oil price remained consistent through all three robustness tests, the effect of exchange rate on Vietnamese stock market indices is not consistent. We find thatchanges of the USD/VND exchange rate significantly impact the return and volatility of HNX index only in GARCH (1,1) setting. Our analysis also survives a number of robustness tests.

This study examines the socio-environmental impacts of mobility on Inuit people and its consequences in the High Arctic region of Canada. Mobility is the part of Inuit culture, the Inuit people moved for hunting on familiar distances and sites that is the part of their life through generations. These patterns of mobility represent an admirable appreciation and familiar knowledge of the environment in the aboriginal people. The system of mobility as social change is related to the environmental stress, food shortage, fur-trade, construction of military bases, state policies, forced resettlement and non-renewable resources development projects in the Arctic region. Since 1950s, the Inuit of Canadian Arctic region have experience forcefully the mobilities in form of relocation, new-settlements, medical moves and residential schools as well as environmental mobility. The effects of relocation from their original lands have sustained through generations. There is another sad story of the DEW-line (Distance Early Warning) construction. The construction was started without any consent or notification to the local communities. Inuit people were displaced into other places with non-respectable way from their indigenous land. The residential school system was another a misfortune form of mobility which removed Aboriginal children from their parents and forcefully teach them ‘white manners’. This unfair treatment to the Inuit becomes big debate in the country from the several decades ago. Experience of mobility either it was due to relocation, displacement, individual or residential schools and mobility due to climate change are common story of Inuit people in the Arctic region of Canada. A number of families are still dealing with this intergenerational distresses.

Fine dust is one of the most critical environmental issues in Korea, and the government recognizes the need to establish customized reduction policies based on regional characteristics. Several studies on air pollutants investigate whether factories affect the distribution of fine dust in a particular region. However, understanding the impact of the entire industry sector requires further investigation. This study identifies the impacts of industrial characteristics on fine dust levels of 141 municipalities across Korea in 2016. A total of 23 variables were used, of which 12 referred to industries and 11 to general characteristics of each city. Due to the high correlation between independent variables, partial least squares (PLS) regression models were used. The analysis identified 14 significant variables for PM10 and 13 for PM2.5. Therefore, the results suggest that local industrial characteristics can significantly influence fine dust levels and provide suggestions for establishing customized reduction policies based on local characteristics.

The research examines the impacts of empowering leadership on teamwork performance of the employees in sales departments at commercial banks in Vietnam. Based on the data from the sample survey of 406 employees in sales departments of commercial banks in Vietnam, the paper uses various types of statistical methods and assesses the reliability of scales with Cronbach's Alpha, Confirmatory Factor Analysis as well as Structural Equation Modeling for analysis. The results show that the Empowering Leadership factor has a directly positive impact on Knowledge Sharing and Teamwork Performance, which means when the Empowering Leadership is positive, the Knowledge Sharing and Teamwork Performance will increase. In addition, Empowering Leadership also has an indirect impact on Teamwork Performance through Knowledge Sharing factor, which means when the Empowering Leadership is positive, the Teamwork Performance will increase. Moreover, Knowledge Sharing factor has a directly positive impact on Teamwork Performance, which means when the Knowledge Sharing factor is positive, the Teamwork Performance will increase. The findings suggest that Empowering Leadership has both directly and indirectly positive influence on Teamwork Performance. Moreover, Empowering leadership has a directly positive impact on Knowledge-sharing while Knowledge-sharing has a directly positive impact on Teamwork Performance of sales departments of commercial banks in Vietnam.

화산 분화 시 방출되는 물질은 화산가스, 용암, 화성쇄설물이 있다. 화성쇄설물 중 입자크기가 작은 (직경 2mm 이하) 화산재는 쉽게 이동하여 먼 거리까지 영향을 미칠 수 있다. 공기 중에 부유한 화산재 입자는 강하재가 되어 지표에 퇴적된다. 이러한 강하재가 미치는 영향은 퇴적되는 두께에 따라 달라진다. 퇴적 되는 화산재의 두께가 증가할수록 피해의 규모는 커지고 그 영향 범위 또한 넓어지며, 보건 및 사회 기반 시설에 대한 영향도 심각해진다. 따라서 강하재의 영향에 따른 피해 저감을 위해 재해의 본질과 정도, 영향에 대한 지침을 마련하고 지역사회의 위험 관리 능력 향상을 위한 대비 조치를 마련해야 한다. 백두산을 비롯한 한반도 주변 지역에서 앞으로 일어날 수 있는 화산 분화로 인한 강하재의 영향에 대비할 필요가 있다.

세계적으로 기술무역장벽(TBT)이 증가하고 있다. 국가들은 TBT의 무역제한효과를 억제하기 위해 ‘국 제 기술규제협력(International Regulatory Co-operation, 이하 ‘규제협력’이라고 함)’을 체결하고 있 다. 본 연구는 규제협력 중에서 FTA가 TBT에 어떤 영향을 미치는지, 특히 FTA의 TBT 조항이 그 취지 에 맞게 유의미하게 TBT의 무역제한효과를 억제하고 있는지 분석하였다. 본 연구는 한국의 주요 수출품목이자 가장 많은 TBT가 부과된 기계 및 전자제품을 중심으로 분석을 진행하였다. 이를 위해 통관거부 사례를 토대로 TBT를 이유로 실제로 한국산 제품의 통관을 거부한 국가들로 미국, EU, 중국, 호주, 일본을 선정하였고, UNCTAD TRAINS 데이터베이스를 통해 기계 및 전자제품에 부과되고 있는 TBT를 종류별로 도출하였다. 특히 기존연구와 달리 TBT의 종류별로 TBT의 무역제한 효과와 규제협력의 효과를 분석하였다. 실증분석 결과에서 FTA의 TBT 조항은 TBT의 무역제한효과를 억제하는데 유의미한 영향을 미치지 않는 것으로 나타났다. 이는 한국이 미국, EU, 중국, 호주와 체결한 FTA의 TBT 조항에서, WTO TBT 협정에서 부여한 권리와 의무보다 더 발전된 내용으로 무역친화적인 규규제협력 규정을 두고 있지 않기 때문이었다. 그러나 몇몇 TBT에서는 FTA TBT 조항이 WTO TBT 협정보다 더 발전된 내용을 규정하고 있었기 때문에 유의미한 무역촉진효과가 나타났다. 이러한 실증분석결과는 TBT가 가지는 무역제한효과 를 최소화하기 위해서는 충분한 영향력과 구속력을 가지는 FTA TBT 조항을 도입할 필요가 있다는 점을 보여준다.

The research objective of the paper is to clarify the factors influencing system risks of listed companies in Vietnam, with a focus on clarifying the relationship and quantifying the impacts of ownership structure on systemic risk of listed companies. The data used in this study included financial statements and stock price data of listed companies on the Ho Chi Minh City Stock Exchange and Hanoi Stock Exchange of Vietnam stock market in the period from 2010 to 2017. The paper used the method of estimation in establising the regression models to choose among three models: Random Effect Model, Fixed Effect Model or Pooled OLS for regression using Stata statistical software. The research results showed that state ownership and ownership by foreign investors were positively related to systemic risk, while ownership by domestic investors had a reverse relationship with systemic risk of listed companies in Vietnam. In addition, as a control variable, both company size and profitability had an effect on the systemic risk of listed companies in the research sample. Based on the research results, the authors interpreted some of the implications in order to minimize systemic risks in the operation of listed companies in Vietnam.

With the continuous development of scientific algorithms for computer graphics, the new generation of procedural texture technology greatly accelerates the CG visual art creation and gradually replaces the bitmap texture workflow. The technology has not only realized the further integration of computer graphics technology and art creation, but also put forward new requirements for texture artist's knowledge structure. Meanwhile, the new workflow reduces the requirements for traditional painting skills and focuses more on logical thinking and basic programming skills. In the future, texture artists have to pay attention not only to the aesthetic and accomplishment of art, but also to the logical application of scientific algorithms.

In this study, the impacts of local meteorology caused by tidal changes in the West Sea on ozone distributions in the Seoul Metropolitan Area (SMA) were analyzed using a meteorological model (WRF) and an air quality (CMAQ) model. This study was carried out during the day (1200–1800 LST) between August 3 and 9, 2016. The total area of tidal flats along with the tidal changes was calculated to be approximately 912 km2, based on data provided by the Environmental Geographic Information Service (EGIS) and the Ministry of Oceans and Fisheries (MOF). Modeling was carried out based on three experiments, and the land cover of the tidal flats for each experiment was designed using the coastal wetlands, water bodies (i.e., high tide), and the barren or sparsely vegetated areas (i.e., low tide). The land cover parameters of the coastal wetlands used in this study were improved in the herbaceous wetland of the WRF using updated albedo, roughness length, and soil heat capacity. The results showed that the land cover variation during high tide caused a decrease in temperature (maximum 4.5℃) and planetary boundary layer (PBL) height (maximum 1200 m), and an increase in humidity (maximum 25%) and wind speed (maximum 1.5 ms-1). These meteorological changes increased the ozone concentration (about 5.0 ppb) in the coastal areas including the tidal flats. The increase in the ozone concentration during high tide may be caused by a weak diffusion to the upper layer due to a decrease in the PBL height. The changes in the meteorological variables and ozone concentration during low tide were lesser than those occurring during high tide. This study suggests that the meteorological variations caused by tidal changes have a meaningful effect on the ozone concentration in the SMA.

The study examines economic and environmental impacts of mass tourism on regional tourism destinations, particularly the establishment of “Ten New Bali”, in Indonesia. The sample is restricted to the period of time in which annual data is available and comparable among variables from 1980 to 2015 (36 observations). All of the time series data was collected and retrieved from the World Development Indicator database published by the World Bank. This study applies cointegrating regression analysis using the fully modified OLS, canonical cointegrating regression, and dynamic OLS. The results of the study suggest that 1) there is a long-run equilibrium relationship between tourism receipts, environmental degradation and economic growth in Indonesia, 2) tourism growth and agriculture land growth are positively related to an increase of total output in the short-run in Indonesia, and 3) arable land is significant at the 0.01 level, but forest rents and CO2 from transport are not significant in the short-run in Indonesia. The results confirm that arable land is negatively related to an increase of total output in Indonesia. That is, when tourism growth in the economy is getting realized it shows that the environmental degradation increases greatly in inverse in the model, eventually negative impacts to the environment.

This paper presents the current status of development of assessment program for shock/Fire damage caused by aircraft impacts for NPP(nuclear power plants). According to international and domestic regulations, the design of nuclear power plants have to take into account the potential effects of the impact of a large commercial aircraft. In this study, we set up the practical application procedure to assess the shock/fire damage due to aircraft impacts for NPP in accordance with NEI(Nuclear Energy Institute)07-13 rule set and are developing the aircraft impact assessment program to reduce the effort and improve the accuracy.

The purpose of this article is analyzing the impacts of seawater surface temperature rise on sea mustard yields of Goheung and Wando coast in Korea, with employing a panel data regression model. Our results show that there has been a negative impacts on sea mustard yields as seawater surface temperature continuously has been rising. Especially if the upward trend in seawater surface temperature since 2005 will be maintained in future, sea mustard yield is expected to decrease by 2.6% per year.