• Journal of the Korean housing association
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• v.10 no.4
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• pp.1-10
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• 1999

The purpose of this study was to investigate the environmental factors having a influence on the preference of residential district and to furnish basic information for the successful settlement. For the purpose, residential preference and values on the residential district were estimated according to the housing life cycle. Data were collected through questionnaires designed for this study, and the objects of this research were university students. To analyze the data were used spsswin program. The major results were as follows. 1. According to the housing life cycle, there were significant differences in the preference of the residential district, living area and housing type in the future. Metropolitan and seoul, residential area and commercial area, apartment, office-hotel and row house were preferred in the housing formative. In the stable period, seoul and metropolitan, tower apartment, residential area were preferred. But in the housing reductive period, they preferred a green zone in the rural, the detached house. 2. The degree of consideration of living convenience facilities was high in the housing formative period. Both education-leisure, business facilities and marketing facilities were highly valuated in the housing stable period. But the value of welfare facilities was high in the housing reductive period. 3. The 4 dimensions of values in environmental conditions were extracted through factor analysis. They were natural, human, social, and economic factors. According to the housing life cycle, there were significant differences in factors being considered as the environmental conditions. The values of human and economic factors were high in the housing formative and stable period. Natural factor were highly considered in the housing reductive period.

• Korean Journal of Agricultural Science
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• v.38 no.1
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• pp.183-190
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• 2011

The paper is to analyze multi-attributes for expanding new renewable energy in agricultural sectors which have environmental, technical, economic, and social factors consisting of 15 attributes which have both positive and negative impacts. We applied the analytic hierarchy process (AHP) to data from opinion polls. As a result of the AHP survey, the overall results indicate that the respondents more weight on economical factor than environmental, technical, and social factors for expanding new renewable energy. At the lowest level, a comparison of individual 15 attributes within three factors shows that fixed cost highest in multi-attributes, followed by operating cost, technical superiority. To achieve the public acceptance about expanding new renewable energy in agricultural sectors, the policy-makers should take all relevant factors into account through the decision-making process by the public opinions.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.4
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• pp.617-628
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• 2022

In this study, the land market in Eastern District of Gyeongseong is examined using land price data in the 1920's. For the study, land information in 1927 is constructed as a DB, and a map in 1929 is constructed as a GIS file to realize digitalization of historical data. As a result of the study, it is confirmed that spatial autocorrelation exists, and through spatial econometrics analysis, some factors affecting the modern land market are also valid at that time. The results show that land use and road accessibility have a positive effect on the land market, while the proximity of anchor facilities and educational facilities have a negative effect. This study is meaningful in that it has moved on to a research topic that has been insufficient until now by examining whether the factors operating in the land market in the 21st century are also valid in the land market in the 1920's.

• Journal of Korean Society of Water and Wastewater
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• v.38 no.1
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• pp.29-38
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• 2024

Wastewater management is increasingly emphasizing economic and environmental sustainability. Traditional methods in sewage treatment plants have significant implications for the environment and the economy due to power and chemical consumption, and sludge generation. To address these challenges, a study was conducted to develop the Intermittent Cycle Extended Aeration System (ICEAS). This approach was implemented as the primary technique in a full-scale wastewater treatment facility, utilizing key operational factors within the standard Sequencing Batch Reactor (SBR) process. The optimal operational approach, identified in this study, was put into practice at the research facility from January 2020 to December 2022. By implementing management strategies within the biological reactor, it was shown that maintaining and reducing chemical quantities, sludge generation, power consumption, and related costs could yield economic benefits. Moreover, adapting operations to influent characteristics and seasonal conditions allowed for efficient blower operation, reducing unnecessary electricity consumption and ensuring proper dissolved oxygen levels. Despite annual increases in influent flow rate and concentration, this study demonstrated the ability to maintain and reduce sludge production, electricity consumption, and chemical usage. Additionally, systematic responses to emergencies and abnormal situations significantly contributed to economic, technical, and environmental benefits.

• Journal of Korea Trade
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• v.27 no.3
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• pp.65-86
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• 2023

Purpose - As globalization progresses, complexity also increases, and various factors that threaten port functions are emerging. Accordingly, the demand for port security to prevent the crisis and resilience that quickly recovers its original function after the crisis is also increasing in port operations. However, few studies have examined how to ensure the port security and how the resilience affects operation performance of port and sustainability performance as well. So the study aims to find out how port security affects port resilience and port operational performance, and consequently, this two factors affect socioeconomic and environmental sustainability performance respectively and synthetically. Design/methodology - Confirmatory Factor Analysis (CFA) was first performed to determine the validity of the factors of model and hypothesis test was performed using Structural Equation Model (SEM) to analyze the Port Performance Model, which show the perception logic among port security level, port resilience, operation performance, and sustainability performance. In order to empirically analyze this model, total 264 respondents from port security operators, shipping companies in South Korea were surveyed. Findings - As result of SEM, First, port security level positively affected the resilience (H1) and cargo operational performance (H2) but not in both of the sustainability performances (H3, H4). Second, resilience positively affected only cargo operational performance (H5) and socio-economic sustainability performance (H7). Last, cargo operation performance positively affects the both of sustainability performances (H8, H9). Originality/value - It was confirmed that port security could improve cargo operational performance through ensuring port resilience and eventually increase the socio-economic sustainability. Therefore the study implies that careful integration and management of port security, port resilience, and sustainability are required, along with compromise on sustainable development goals in the social, economic, and environmental area among all stakeholders.

• Journal of Environmental Impact Assessment
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• v.4 no.3
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• pp.95-102
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• 1995

Environmental Impact Assessment (EIA) in Korea has worked toward environmental conservation and decision making since the Environmental Impact Statement of 1981. In order to implement the EIA process effectively, we have developed a system for and various methods of EIA. Among these methods, the Environmental Information System, which was introduced recently in Korea, can be used to integrate geographic and attribute data effectively. This study includes methods by which we may use the Environmental Information System. First of all, it explains building EIA factors on the natural environment, the living environment, and the socio-economic environment defined by Environmental Impact Statement regulations in Korea. This study also presents some applications of the assessment methods concerning suitability analysis of landfill sites. Finally, it shows the effectiveness of the Environmental Information System in odor impact assessment. Based on these analysis, the study makes some conclusions for the applications of the Environmental Information System.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.6
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• pp.125-135
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• 2020

The uncontrolled urban expansion causes various social, economic problems and natural/environmental problems. Therefore, it is necessary to forecast urban expansion by identifying various factors related to urban expansion. This study aims to forecast it using a decision tree that is widely used in various areas. The study used geographic data such as the area of use, geographical data like elevation and slope, the environmental conservation value assessment map, and population density data for 2006 and 2018. It extracted the new urban expansion areas by comparing the residential, industrial, and commercial zones of the zoning in 2006 and 2018 and derived a decision tree using the 2006 data as independent variables. It is intended to forecast urban expansion in 2030 by applying the data for 2018 to the derived decision tree. The analysis result confirmed that the distance from the green area, the elevation, the grade of the environmental conservation value assessment map, and the distance from the industrial area were important factors in forecasting the urban area expansion. The AUC of 0.95051 showed excellent explanatory power in the ROC analysis performed to verify the accuracy. However, the forecast of the urban area expansion for 2018 using the decision tree was 15,459.98㎢, which was significantly different from the actual urban area of 4,144.93㎢ for 2018. Since many regions use decision tree to forecast urban expansion, they can be useful for identifying which factors affect urban expansion, although they are not suitable for forecasting the expansion of urban region in detail. Identifying such important factors for urban expansion is expected to provide information that can be used in future land, urban, and environmental planning.

• Journal of Korea Trade
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• v.26 no.2
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• pp.84-99
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• 2022

Purpose - This study carried out an empirical study of the impact of sustainability - which has been gaining attention as challenges are arising in supply chains based on existing trade networks due to the impact of the COVID-19 pandemic - on SCM performance and financial performance of Korean SMEs. The study seeks to propose a measurement model to enhance the SCM performance and financial performance of Korean SMEs and to identify the relationship between sustainability, SCM performance and financial performance to suggest implications to SMEs, governments, and relevant organizations. Design/methodology - Our Analysis established hypotheses that economic sustainability, environmental sustainability, and other factors related to sustainability have a positive impact on SCM performance and financial performance as well as SCM performance has a positive impact on financial performance, making empirical validations by utilizing Structural Equation Modeling based on data collected through survey from Korean SMEs. Findings - According to an empirical study, although environmental sustainability and economic sustainability among factors of sustainability had a positive influence on SCM performance, social sustainability did not have a statistically significant influence. Furthermore, it was learned that only economic sustainability had a positive influence on financial performance while SCM performance has a positive influence on financial performance. Originality/value - This empirical study explored the relationship between SCM performance and financial performance of Korean SMEs with a high tendency to depend on specific supply chains when the international trade network is in confusion and/or the global supply chain has collapsed. If Korean SMEs allocate management resources to the factors deducted from this study, they would be able to build more efficient supply chains and improve financial performance to improve sustainability.

• Women's Health Nursing
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• v.28 no.3
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• pp.187-196
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• 2022

Purpose: The purpose of this study was to investigate factors related to the levels of health-related quality of life (HRQoL) in elderly women based on Wilson and Cleary's HRQoL model. Methods: This study analyzed data from the eighth Korea National Health and Nutrition Examination Survey 2019 on 868 women over the age of 65 years. Based on the HRQoL model, parameters were categorized as personal, environmental, and physiological characteristics; symptom status; functional status; and perception of health status. The data were analyzed by quantile regression. Results: The overall level of HRQoL was 0.87. Factors related to HRQoL in the 10% quantile were higher education level, higher economic status, economic activity, more walking days, fewer diseases, lower stress, less activity limitation, and higher perceived health status. Factors related to the 25% quantile of HRQoL were more walking days, fewer diseases, less activity limitation, and higher perceived health status. Factors related to the 50% quantile were age, economic activity, more walking days, fewer disease, lower stress, less activity limitation, and higher perceived health status. Factors related to the 75% quantile of HRQoL were smoking, more walking days, fewer diseases, lower stress, less activity limitation, and higher perceived health status. Conclusion: While differing parameters were identified according to the level of HRQoL of elderly women in Korea, there were five common factors. Interventions that focus on increasing walking, mitigating diseases, stress, and activity limitations, and improving perceived health status can improve HRQoL.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.193-199
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• 2016

The aim of this study is to determine factors that affect the competitiveness and the move-in environment of migration companies according to the recent change of location conditions of industrial complexes. The results of analysis show that productive factor and economic factor are related to the main factors that determine the location environment. The resident companies have a strong link to the economic characteristics factors, which seems to be related to the expectation and satisfaction for public support facilities, hospitals, educational institutions, and administrative agencies to be placed in the complex, encouraging companies to be located in the complex. In other words, if the existing economic factors and public support facilities were complemented, it can be inferred that the industrial complex promotion policies will be more effectively planned. Also, transportation and infrastructure facilities are analyzed as successful factors for resident companies. In addition, the economic and productive environments turn out to affect public support facilities and environmental factors of infrastructure as major factors. The results of this study are expected to be a useful guideline in determining the resident policy or external factors for the future industrial complex.