• Journal of Environmental Policy
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• v.7 no.1
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• pp.101-118
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• 2008

In this study, we estimate the labor demand function of environmental industry with environmental industry survey of Ministry of Environment. To do this, we apply the panel estimation technique. We follow the widely accepted estimation methods: panel generalized least square, panel generalized least square with heteroskedasticity/auto-correlation, random effect model and random effect model with auto-correlation. On the average, each industry is estimated at the elasticity of sales on labor demand from 0.193 to 0.259. It means that the increase of sales by 214billion won can create around $1,600{\sim}2,300$ jobs, and this is merely a direct effect. So when we consider the whole effect of labor demand increase including indirect derived job creation, the labor demand increase will be higher than this. So it is desirable for the government to support the development of environmental industry for sustainable development.

• Journal of Environmental Policy
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• v.12 no.2
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• pp.59-86
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• 2013

We analyzed the correlation among the GHG (Greenhouse Gas) emission, energy consumption and economic growth for the 6 specific regions in Korea by using Panel approaches with the test of the EKC hypothesis. We also analyzed the effects of environmental regulation on GHG and economic growth. The results show that by testing of the EKC (Environmental Kuznets Curve) hypothesis model,the effects of the environmental regulation and the structure of industries on GHC emission have a significant result on the regional analysis for SOx. For the NOx and TSP, only TK region passed the turning point of the EKC among the 6 specific regions. And, for the Co, the Central, Honam and the PUKN region passed the turning point of the EKC. This is because GHG emissions by the environment regulation had a weak path effect and also regional industry structures had a weak relation with regional GHG emissions.

• Journal of Korean Society on Water Environment
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• v.35 no.1
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• pp.19-27
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• 2019

The purpose of this study is to evaluate the water quality and phytoplankton community in Bukhan River which account for 44.4 % of the total inflow into Lake Paldang, using multivariate statistical techniques (i.e., correlation analysis, principal component analysis (PCA)/factor analysis (FA)). Water samples were collected from March to November 2015 and the following parameters measured; water temperature, pH, DO, EC, SS, BOD, Chl-a, COD, TN, $NO_3-N$, $NH_3-N$, TP, DTP, $PO_4-P$, and phytoplankton community. The water quality of the main stream and the tributaries were not significantly different apart from the relatively high concentration of BOD, COD and nutrients recorded in MH. The highest cell density of Stephanodiscus hantzschii and Merismopedia glauca dominated phytoplankton was observed in PD. Based on the correlation analysis, total phytoplankton and cyanophyceae were highly correlated with BOD, COD and nutrients. PCA/FA resulted in four main factors accounting for 82.240 % of the total variance in the water quality dataset. The group of component 1 (TN, DTN, DO, $NO_3-N$, water temperature) and component 2 ($PO_4-P$, T-P, DTP, SS) were classified as nutrient element factor whereas component 3 (Chl-a, COD, BOD, $NH_3-N$, pH) was related to organic substances. Hence, the identification of the main potential environmental pollution factors in Bukhan River will help policy makers make better and more informed decisions on how to improve the water quality.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.22 no.6
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• pp.139-146
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• 2019

There is often confliction between conservation for protected ecosystem assets and development for various stakeholders at wetland protection areas. The concept of Ecosystem Services can be an alternative solution for the conflicts. This paper attempted to measure and evaluate cultural ecosystem services according to the index evaluation approach. For the evaluation, the paper suggested five indicators of ecosystem cultural services including: inspiration, landscape aesthetics, education, eco-tourism, and heritage. The developed indices of cultural services in this study can be also utilized as a policy support tool for conservation of the wetland protected areas. The result illustrates the ranking and correlation of each indicator of ecosystem cultural services and suggestions for useful means of management policy in wetland protected areas.

• Journal of Environmental Science International
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• v.20 no.3
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• pp.373-384
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• 2011

This study aims at the examination of the relative characteristics of discharge and water quality in river basins using statistical methods. For it, water quality and discharge data was collected in observed stations of Nakdong river and carried out correlation analysis, regression analysis, factor analysis and cluster analysis. And it was investigated the applicability of water quality prediction using Nearest-neighbor method. As a result, it grasped a trenditional characteristics and mutual relations between discharge an water quality data. Therefore, this results were suggested the comprehensive data and methods for a management of water quality, effective operation and policy development in Nakdong river basin.

• Journal of Environmental Impact Assessment
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• v.24 no.3
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• pp.233-243
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• 2015

The ecosystem fragmentation due to transportation infrastructure causes road-kill phenomenon. When making policy for reducing road-kill it is important to select target-species in order to enhance its efficiency. However, many corridors installed in Korea have been raised issues about their effectiveness due to lack of considerations such as target-species selection, site selection, and management, etc. In this study, we are to grasp relationship between road-kill area and habitat patches and suggest that spatial location of habitat patches should be considered as one of the important factors when making policy for reducing road-kill. Habitat patches were presumed from overlying suitability index that chosen by literature review and road-kill hotspot was determined by Getis-Ord $G_i^*$ analysis. Afterwards, we performed a correlation analysis between $G_i$ Z-score and the distance from habitat patches to the roads. As a result, there is a negative correlation between two variables, It affects the $G_i^*$ Z-score going up if the habitat patches and the roads become closer.

• Journal of the Korean Solar Energy Society
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• v.38 no.2
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• pp.45-53
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• 2018

For the preliminary step for estimating the performance of roof-type photovoltaic system in urban areas, we analyzed the solar radiation reduction ratio by shadow effect by buildings using DSM (Digital Surface Model) and GIS (Geographical Information System) tools. An average loss by the shadow is about 19% in Seoul. The result was related to the building density and distribution. Monthly results show that the winter season (December and January) was more affected by the shading than during the summer season (June and July). It is expected that useful empirical formulas can be made if more detailed correlation studies are performed.

• Health Policy and Management
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• v.28 no.1
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• pp.15-22
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• 2018

Background: Health is affected by various local factors. This study aims to investigate the age-standardized mortality variation of Seoul as well as the characteristics of the factors related to the mortality variation. Methods: The Korea Community Health Survey data, Seoul Survey data, Seoul statistics, and e-regional indicators of the National Statistical Office were used. To investigate the basic boroughs standardized mortality variation in Seoul, external quotient, coefficient of variation (CV), and systematic component of variation (SCV) values were suggested; correlation analysis and multiple regression analysis were conducted to investigate the characteristics related to standardized mortality rate. Results: The highest and the lowest standardized mortality rate of Seoul by boroughs had as much as 1.4 times difference; a low level of variation was shown in CV by 8.2; and was shown in SCV by 79. As a result of the multiple regression analysis of the factors that affect standardized mortality variation, the higher the rate of householders with college or higher, the lower the standardized mortality rate, and the higher the high-risk drinking rate, the higher the standardized mortality rate. Of the two, the rate of householder with a degree equivalent or higher than college was shown to have the biggest impact, followed by high-risk drinking rate. Conclusion: We found a variation in age-standardized mortality rate of boroughs in Seoul. The results suggest that policy makers should take into account socioeconomic environmental characteristics of community in developing community-based health promotion rather than focusing on lifestyle changes of residents.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.435-444
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• 2017

This study investigated differences between job satisfaction and professionalism by job-related variable and analyzed the effects of job-related variables and job professionalism on job satisfaction among a total of 144 beauty salon workers in Busan and Ulsan. The main results are as follows. First, a difference between job satisfaction and professionalism was found by average monthly income and environmental satisfaction. Second, in terms of correlations with variable, job professionalism revealed static correlation with average monthly income, employment period and environmental satisfaction while job satisfaction showed static correlation with average monthly income, environmental satisfaction and job professionalism. In employment period, a significant difference was observed. Third, regarding the influence of variables on job satisfaction, job satisfaction became higher as average and job professionalism increased. In particular, job professionalism was the highest in terms of exploratory power. So a plan for allowing beauticians to improve confidence in professionalism and job satisfaction was presented.

• Fashion & Textile Research Journal
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• v.11 no.5
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• pp.732-740
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• 2009

The purpose of this study was to classify consumers by orientation of clothing shopping and to analyze the type of preference store and recognized environmental elements of clothing shop. This survey was carried out through questionnaires of 312 females(Busan region) in their twenties and the data were analyzed by using Factor analysis, Cluster analysis, one-way ANOVA, Duncan test as a post identification and ${\chi}^2$-test. The results of this research can be summarizedas follows: First, orientations of clothing shopping consisted of pleasure shopping orientation, planned shopping orientation, brand shopping orientation, and information of store orientation. The respondents were classified into four groups by these characteristics: high interested shopping group, brand-oriented shopping group, low interested shopping group, and unplanned shopping group. These groups had different type of preference store and there were significantly different preferences among department store, brand agency and regular discount store. The recognized environmental elements of clothing shop were service policy, store atmosphere, store layout, trend of products, product variety, freedom of shopping, and reception service. The groups by characteristics of clothing shopping had different attitude regarding those factors. Especially, they are susceptible to store atmosphere, trend of products and reception service. There was the correlation between type of preference store and environmental elements of store and mainly recognized environmental elements of clothing shop had differences according to type of store.