• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.11 no.2
• /
• pp.233-247
• /
• 2016

Local food industry has been spreading all over the world. Korea is also actively applying and developing local food industry. However, relatively high distribution cost in Korean agricultural market is hindering its further growth. Distribution cost has close relation with shipping distance. Raised distribution cost brings major impacts not only on quality and price of products but also on greenhouse gas(carbon dioxide) emissions. Therefore, it is necessary to find a solution for inefficient distribution system of the local food industry to reduce overall cost and greenhouse gas. In this study, we present a location selection model for local food regional center using Analytic Hierarchy Process. The location of local food regional hub center is decided based on expert opinions on five factors: accessibility, quality, population, size of area, and shipping distance. The relative importance of the five factors has been concluded as follows: quality (0.430) ${\gg}$ population (0.262) ${\gg}$ travel distance (0.201) ${\gg}$ accessibility (0.075) ${\gg}$ and area (0.033). We apply and analyze the environmental management system model for Local food industry to develop the regional hub center site selection criteria and to analyze the effects of greenhouse gas emissions in the local food industry. This study, by applying and analyzing the environmental management system of the local food industry, is believed to be a valuable asset for managing greenhouse gas emission in the local food industry. Also, the data will be used for the autonomous local food industry's direct sales stall management. Eventually, this study will contribute so greatly to the local food industry's competitiveness that even large distribution companies will give way for the local food industry.

• Korean Journal of Construction Engineering and Management
• /
• v.16 no.1
• /
• pp.74-81
• /
• 2015

As one of urban infrastructure system, the electricity substation is critical for urban life and industrial activity as the electricity demands get higher than ever. However the substation is generally regarded as unpleasant or dangerous facility, which finally results in the continuous opposition movement by resident due to the belief of unidentified negative effect in apartment prices. Accordingly, as the scientifically objective and quantitative analysis is required to solve the social conflict, this study intends to examine the variation affected by urban infrastructure system, expecially for substation. After the independent variable defining the price of apartment and the dependent variable, which is apartment price, are identified and their spatial data has been filed, the forecasting model has been developed through the hedonic price function as well as artificial neural networks system. The research finding indicated that the spatial range affected by substation is not notable and the range of some case was applicable for less than 600m. It is expected that these research findings can be applied for establishing the one of solid cases for the analysis of economical effect to local housing market by the urban infrastructure system.

• Journal of Korea Port Economic Association
• /
• v.23 no.3
• /
• pp.53-77
• /
• 2007

This paper is designed to look for a specialized strategies by drawing the special features of Busan New Port from both a comparative analysis of major factors of harbor competitiveness and a SWOT analysis of Busan New Port and Yangshan Port, one of the biggest competitive ports in Northeast Asia, so that Busan New Port may preoccupy a status as the hub port of the area. The researcher would like to suggest the following measures to make Busan New Port serve as the central port of Northeast Asia on the basis of the findings; Korea should push ahead with creating a railroad transportation linking with Eurasia Contient, secure the amount of goods and resources with the help of the early development of the surrounding complex of the port, make a considerable progress in the level of port service, come up with a differentiation strategies for harbor marketing activities and improve its productivity.

• Journal of Korea Port Economic Association
• /
• v.30 no.1
• /
• pp.119-142
• /
• 2014

This study aims to evaluate the factors which affect the competitiveness of Gwangyang port, and to suggest strategies for the enhancement of its competitiveness by priority. This study inquires both 5 key rating factors: port location, port operations management, port costs, port facilities, and hinterland conditions and the priority of 14 detailed assessments through AHP method. First, the importances of main evaluation items for port competitiveness are analysed in the following orders: port location, port facilities, port costs, port operations, hinterland conditions. Second, the comprehensive importances based on the detailed evaluation properties complex weighting are identified in the following orders: connectivity with hinterland, accessibility of international harbor, incentives, the area of terminal, expertise and skills of port operations personnel, container throughput, and scale berths. Third, the strategies referring to the port location like centrality, transit, and merit on use should be actively conducted for the promotions of Gwangyang port's competitiveness, according to its international port competitiveness analysis. This study will provide both academic and policy implications with its related scholars, government, and research institutions. In addition, this will be contributed to formulating a basic theory for port competitiveness evaluation and providing a basic framework of evaluation analysis.

• Journal of Environmental Impact Assessment
• /
• v.29 no.1
• /
• pp.45-60
• /
• 2020

In the past, air pollution, water pollution and solid waste were very important items, but at present environmentally sound land use, ecosystem conservation and sustainable socio-economy have become very important in EIA. According to the consultation result of SEA and Small scale EIA during 2012~2019, most results are 'Conditional Agreement'. Especially EIA consultation results before 2016 were mostly (94.1 %) 'Agreement', but since 2017 most (87.4 %) are 'Conditional Agreement'. And the percentage of 'Non Agreement' have sharply increased from 0.3~0.6 % (during 2013~2016) to 1.3~3.1 % (during 2017~2019). In case there have been no change in EIA system and consultation techniques, the problems of inconsistency and unfairness could be raised. Therefore are urgently required researches on environmentally sound land use, ecosystem conservation and sustainable socio-economy which decide location feasibility assessment. The purpose of this study is to analyse the consultation cases of SEA, EIA, and Small scale EIA since 2012, and to identify key factors which result in the decision of nonagreement of development plans and development projects, and to suggest the improvements on EIA consultation based on land use regulation and environmental grade.

• The Journal of the Korea Contents Association
• /
• v.12 no.11
• /
• pp.469-481
• /
• 2012

The demand for small-sized housing has been increasing due to the recession of real-estate price and the increase of small-sized households. Especially, the demand for affordable housing has been increasing since the style of housing and the location fits the lifestyle of small-sized household. In addition, many investors have been buying it because it has advertised as an investment property holding high-return ratio. However, an empirical analysis about the selling price and the return ratio has not been done yet. Therefore, the purpose of the research is having the empirical analysis based on the selling price and return ration by examining the affordable housing in Seoul. The urban-life housing more than 50 generations of the Seoul was irradiated for the analysis. And the linear regression analysis and PLS(Partial Least Square Regression) analysis was used for the empirical analysis. The result of analysis, based on the linear regression analysis, showed that factors including neighboring housing price and subway catchment area have a significant effect to the determinant factors of housing price. The analysis for return ratio showed neighboring housing price, subway catchment area and amenities affects the ratio. Especially, the fault of using small sample was covered by using the partial least square regression in this research.

• Korean Journal of Remote Sensing
• /
• v.37 no.5_1
• /
• pp.903-916
• /
• 2021

An area's topography refers to the shape of the earth's surface, described by its elevation, slope, and aspect, among other features. The topographical conditions determine energy flowsthat move water and energy from higher to lower elevations, such as how much solar energy will be received and how much wind or rain will affect it. Another common factor, the topographic wetness index (TWI), is a calculation in digital elevation models of the tendency to accumulate water per slope and unit area, and is one of the most widely referenced hydrologic topographic factors, which helps explain the location of forest vegetation. Analyses of topographical factors can be calculated using a geographic information system (GIS) program based on digital elevation model (DEM) data. Recently, a large number of free open source software (FOSS) GIS programs are available and developed for researchers, industries, and governments. FOSS GIS programs provide opportunitiesfor flexible algorithms customized forspecific user needs. The majority of biodiversity in island areas exists at about 20% higher elevations than in land ecosystems, playing an important role in ecological processes and therefore of high ecological value. However, island areas are vulnerable to disturbances and damage, such as through climate change, environmental pollution, development, and human intervention, and lacks systematic investigation due to geographical limitations (e.g. remoteness; difficulty to access). More than 4,000 of Korea's islands are within a few hours of its coast, and 88% are uninhabited, with 52% of them forested. The forest ecosystems of islands have fewer encounters with human interaction than on land, and therefore most of the topographical conditions are formed naturally and affected more directly by weather conditions or the environment. Therefore, the analysis of forest topography in island areas can be done more precisely than on its land counterparts, and therefore has become a major focus of attention in Korea. This study is focused on calculating the performance of different topographical factors using FOSS GIS programs. The test area is the island forests in Korea's south and the DEM of the target area was processed with GRASS GIS and SAGA GIS. The final slopes and TWI maps were produced as comparisons of the differences between topographic factor calculations of each respective FOSS GIS program. Finally, the merits of each FOSS GIS program used to calculate the topographic factors is discussed.

• Journal of the Korean Regional Science Association
• /
• v.38 no.4
• /
• pp.45-58
• /
• 2022

This study intends to compare the factors influencing the location of international schools on apartment sales and monthly rent prices for Songdo International School in Incheon, which has a history of more than 10 years. At the latest point, 10 years after the opening of the school, apartments in areas near international schools are divided into sales and monthly rent markets and analyzed. Songdo International City, designed as a planned city, was set as a spatial scope, and 2018-19, which is a relatively stable real estate period, was set as a temporal analysis period to avoid the overheating period of real estate after COVID-19. Considering the urban image of the "New Special Education Zone," such as the opening of Songdo Campus by private academies formed around international schools and domestic and foreign universities, the multiple regression model was applied based on the traditional Hedonic price model. As a result of the empirical analysis, first, differences in the price determinants of sales and monthly rent were confirmed. Second, the price influence of international schools was much higher than that of the variables. Third, the influence of international schools was more pronounced in the monthly rent market than in the sales market.

• Land and Housing Review
• /
• v.14 no.4
• /
• pp.63-76
• /
• 2023

Investors should understand and actively consider factors like location, future value, policies, pricing, market trends, and their income, as these elements can shift with changing local, social, economic, and policy environments. This study seeks to clarify the impact of investment factors on the performance and reinvestment intentions of Sejong City investors by surveying those who have invested in real estate. This study employs a structural equation model with confirmatory factor analysis, focusing on four aspects: value, economic and policy, psychological, and financial. We find that the investment value factor has the largest impact on investment performance, indicating that investors prioritize the investment value of real estate in Sejong City. In addition, factors increasing asset value and expected satisfaction were significant, indicating that real estate investment in Sejong City yields high returns and investor satisfaction. with a positive outlook for future reinvestment.

• Journal of Ecology and Environment
• /
• v.29 no.3
• /
• pp.265-275
• /
• 2006

This study represents the mechanism of progressive succession and potential natural vegetation on the forest vegetation in and surrounding Daegu. As a result of DCA, the feature of community was determined by an altitude and humid gradients. The soil moisture, contents of organic matter and total nitrogen increased as the community developed. In the interspecific association analysis, the forest vegetation was divided into two species groups and they were influenced by temperature and soil moisture. Especially, each two groups showed different stages of vegetation development according to the progressive succession and life form composition supported those results. It was predicted that Quercus variabilis, Q. acutissima, Q. dentata and Pinus densiflora communities would develop into Q. serrata community or Q. mongolica community depending on their location or species composition. In the study area, the potential natural vegetation was divided into 3 communities by biogeographical gradients such as species composition, soil environment, and geographical features: 1)Q. mongolica community in the middle-upper area of the mountain, 2)Q. serrata community in the middle-lower area of the mountain and 3)Carpinus cordata-Acer mono community in the cove area. It is suggested that the Q.mongolica and C.cordata-A.mono communities become actual vegetation and potential natural vegetation. But it is also suggested that the P. densiflora community would be changed into the potential natural vegetation of the Q. mongolica community and Q. serrata community on the basis of the present species composition.