• Journal of the Korean Geographical Society
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• v.49 no.6
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• pp.865-883
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• 2014

This study investigated the carbon offset project activities as the activities of producing commodities by a case study on the Korean Clean Development Mechanism(CDM) industry. This study draw the networks of Korean CDM industry by extracting major agents and surrounding agents and by analyzing the characteristics of the linkages. The project participants owning the CDM projects hires CDM consultancies and designated operational entities(DOEs). The technical knowledge for carbon emission reduction made links between project participants and the CDM project operational knowledge made links between project participants and CDM consultancies. Links between project participants and DOEs are affected by social and geographical proximities. The value of the knowledge for CDM industrial activities determined the role of agents and type of linkages. The agents with the irreplaceable knowledge could be a project conducting firms. The agents without it became outsourcing contractors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.5B
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• pp.445-458
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• 2010

The effects of geographical and climatic factors on annual and monthly pan and Penman evaporation were analyzed. 52 climatological stations were selected and trend analyses were performed. Furthermore, cluster analysis and multiple linear regression analysis were performed to understand the effects of geographical and climatic factors on pan and Penman evaporation. Based on stepwise multiple linear regression analysis, annual pan evaporation is proved to be mainly controlled by urbanization as geographical factor, and annual pan evaporation is also controlled by temperature, relative humidity, wind speed, and solar radiation as climatic factor. Especially wind speed is considered to be most significant climatic factor which affects pan evaporation. Meanwhile, Penman evaporation is not affected by geographical factors but it is affected by climate factors such as temperature, relative humidity, wind speed, and solar radiation except precipitation. Furthermore, the study results show that only proximity to coast affects pan evaporation trend on July; however, geographical and climatic factors do not affect pan evaporation trends in annual basis and monthly basis (January, April, and October). On the other hand, Penman evaporation trends were not affected by geographical factors in annual and monthly basises.

• Journal of the Economic Geographical Society of Korea
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• v.7 no.2
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• pp.261-281
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• 2004

The location of auto industry in Jeon-buk is due to the strategies for secure a low-priced industrial site of the auto assembly companies, which attained to quantitative growth stage in the early part 1990's, and the regional balanced development policy by the location of leader enterprise of the government. As a consequence of the reversal development pattern that is located the auto parts firm after locating the auto assembly companies, the Jeon-buk auto industry has many structural vulnerability. First, because of the lack development of auto parts industries, the auto assembly companies located in Jeon-buk are dependent many auto parts at a external region. Second, most of auto parts firm belongs to the singular assembly company exclusively. And the majority of auto parts industries are the low value-added products that are necessary a simple labor power. Third, the agglomeration undeveloped of associated industries with automobile caused a low competitiveness of invitation a manufacturing company as against other provinces. For a regional economic development by the auto industry, it is necessary a flexible regional structure of production through an agglomeration of associated industries. The geographical proximity between an assembly company and a parts firms is an important locational factor with the induction of Just-in-Time production system and a modularization in the auto industry. And a modularization applies to more new factory than the existing factories. So that, Jeon-buk self-government has to create an amicable industrial environment, try to attract an auto parts enterprises and plan an agglomerated industrial complex that is able to supply a parts modulated to assembly company.

• Spatial Information Research
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• v.8 no.2
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• pp.301-315
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• 2000

Every, year, a great amount of site investigation data is collected on site to obtain sufficient conditions. Investigation of subsurface conditions is prerequisite to the design and construction of structures and also provides information on ground properties such as geologic formation and types of soil. This data set, which portrays real representation of ground conditions over the existing geologic and soil maps, could be further utilized for analyzing the subsurface conditions. It is therefore necessary to develope a subsurface exploration analysis system which is able to extract the valuable information from the heterogeneous, non-normalized subsurface investigation data. This paper presents the overall design scheme and implementation on a subsurface exploration analysis system. The analysis system employs one of data set such as bore-hole data. The clustering technique employed in the developed system makes a large volume of bore-hole data into several groups in terms of ground formation and geographical vicinity. As a result of clustering, each group or cluster consists of bore-hole data with similar characteristics of subsurface and geographical vicinity. In addition, each clustered data is displayed on digital topographical map with different color so that the analysis of site investigation data could be performed in more sensible ways.

• Survey Research
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• v.10 no.3
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• pp.1-19
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• 2009

This study investigates the utilities of spatial analysis in the context of survey research using Geographical Information System(GIS) and Geographically Weighted Regression (GWR) which take account of spatial heterogeneity. Many social phenomena involve spatial dimension, and with the development of GIS, GPS receiver, and online location-based services, spatial information can be collected and utilized more easily, and thus application of spatial analysis in the survey research is getting easier. The traditional OLS regression models which assume independence of observations and homoscedasticity of errors cannot handle spatial dependence problem. GWR is a spatial analysis technique which utilizes spatial information as well as attribute information, and estimated using geographically weighted function under the assumption that spatially close cases are more related than distant cases. Residential survey data from a Primary Autonomous District are used to estimate a model of public service satisfaction. The findings show that GWR handles the problem of spatial auto-correlation and increases goodness-of-fit of model. Visualization of spatial variance of effects of the independent variables using GIS allows us to investigate effects and relationships of those variables more closely and extensively. Furthermore, GIS and GWR analyses provide us a more effective way of identifying locations where the effect of variable is exceptionally low or high, and thus finding policy implications for social development.

• Journal of Korea Port Economic Association
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• v.22 no.3
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• pp.161-188
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• 2006

The purpose of this study is to analyze traffic volume between the Korean container ports located at the west coast and northern Chinese ports and then the distribution trend of container between Korea and China. The findings of the study are as follows. First, Container traffic between western Korean ports and northern Chinese ports has been increasing due to an increasing trade volume between both countries and geographical accessibility. Second, Seoul and neighboring area tend to use the trade route between the western ports and northern Chinese because of lower logistics costs and time-saved advantage compared to another ports. Third, the growth of the western ports did depend mainly on the northern China oriented growth. Such a fact could leads to the overlapping investment in port development in Korea and another intense competition among national ports to attract cargoes and liners. Therefore, port development policy considering the characteristics and function of national ports have to be established. and also alternatives and strategies for improving the competitive edge of small and medium sized shipping lines against the opening of shipping market have to be worked out.

• Journal of Families and Better Life
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• v.33 no.4
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• pp.105-118
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• 2015

This study examined whether structural (coresidence, proximity) and associational (frequency of face-to-face contact, frequency of contact via phone, email or letter) solidarity between adult children and older parents may influence older parents' cognitive functioning. Adult children may help delay older parents' cognitive decline by promoting healthier lifestyle, engaging parents in complex everyday problem solving, and providing emotional support. The data consisted of men and women 65+ at Wave 1 who had at least one child 20+ and participated in at least two waves of the Korean Longitudinal Study of Ageing (KLoSA, N=3,961). Cognitive functioning was measured with the Korean version of the Mini Mental State Examination. Fixed effects models were estimated using the xtreg procedure in STATA. Findings suggest that increases in proximity with at least one adult child may lead to enhanced cognitive functioning among older parents. Neither transitioning to coresidence with at least one adult child nor increases in frequency of contact with at least one non-resident adult child was associated with changes in older parents' cognitive functioning. With older parents' increasing preference for living close by, but not necessarily living with adult children, greater proximity may provide more opportunities for reciprocal support exchanges between the two generations, leading to better cognitive functioning of older parents.

• Journal of the Korean Geographical Society
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• v.48 no.5
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• pp.667-685
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• 2013

This paper provides an empirical analysis of the effects of trust determinants on firm performance in the buyer-supplier relationships by considering warehousing firms in Busan, South Korea. We employed AVAS transformation regressions to address the limitations of linear regressions and found nonlinear relationships between firm performance and trust determinants. Specifically, "longterm and repeated interactions," "geographical proximity," and "cultures and norms of firms and formal institutions" had positive linear relationships with firm performance, and "information sharing and reciprocity" induced an increasing pattern in firm performance. Finally, "interdependence and asset specificity" and "uncertainty removal" led to a decreasing pattern in firm performance. These results suggest that the relationship between trust and firm performance is contingent on the trust determinants that are important source of trust in buyer-supplier relationships and the influence of trust determinants on firm performance varied according to their levels.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.1
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• pp.115-135
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• 2015

In the glocalization a common phenomenon of several nations reveals knowledge innovation and growth by the important subject of region and state and is studied at theory and practice. the successful cases of regional development in an advanced country have leading innovation through regional innovation system and cluster. therefore we are necessary to analyse how the knowledge spillovers in innovative cluster as the reduced model of regional innovation system guide firm innovation and region growth. this article reviews theories and empirical studies of the knowledge spillovers in the regional innovation system and innovative cluster of innovative geography and proposes a new research issues for further explorations of the knowledge spillovers. Previous studies assist that knowledge spillovers exist in knowledge-based industries of specific local area and local innovation accomplishes through pure knowledge spillover. but limits of these studies include narrow region and technological area, few analytical variable and exclusion of rent knowledge spillover. therefore new research topics related with that exemplifies geographical dimension(concentration and decentralization), technological dimension(knowledge based industry), category of analytic variables(previous indicators, time, and social capital), conceptualization(appropriation means, markets for technology) etc.

• Journal of Korea Water Resources Association
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• v.40 no.7
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• pp.571-583
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• 2007

The effects of climatic changes owing to urbanization, geographical and topographical conditions on Penman-Monteith reference evapotranspiration, and energy and aerodynamic terms of Penman-Monteith reference evapotranspiration have been studied. In this study, 56 climatological stations including the Seoul metropolis in South Korea have been selected, and the area of study site was set at $314\;km^2$. The climatological station is centrally located In the study area with a 10 km radius. The geographical and topographical characteristics of these sites were examined using GIS analysis. Land use status of the study area was also examined to estimate the extent of urbanization. The study results indicated that the variation of reference evapotranspiration rate is closely related to urbanization in most climatological stations. The level of change in reference evapotranspiration was higher in areas with higher urbanization rates. The change in reference evapotranspiration appears to be caused by temperature rises following heat island phenomena due to urbanization, and by the decrease in humidity, wind speed and sunshine duration due to the Increase in residential areas in urban districts. Especially, the humidity decrease causes a significant decrease in evapotranspiration rate. The study results showed that climatic change due to urbanization and proximity to the coast had the greatest effect on reference evapotranspiration.