• Journal of the Korean Regional Science Association
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• v.31 no.3
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• pp.55-77
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• 2015

The purpose of this research is to analyze the influence of the regional location factors to the lifecycle of manufacturing firms in the Seoul Metropolitan Area. A firm has a lifecycle in common like a household. The firm's lifecycle is divided into 4 sections such as formation, dissolution, growth and decline for the manufacturing firms as light industry, heavy industry and high-tech industry. In addition, the regional location factors are divided into 4 categories. As a result of this research, there are differences for the statistically significant location factors. In addition, the value for the explanation ability of each multiple linear regression model (adj. $R^2$) was high in the formation and growth sections than in dissolution and decline sections. It means that the local governments need differentiated policies considering their regional characteristics for the location factors by firm's lifecycle when they established policies for industry or job. From the view point of the public sectors, it is much important to focus on formation and growth of firms.

• Journal of KSNVE
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• v.8 no.5
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• pp.814-820
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• 1998

Vibration data from two blasting sites were analyzed to determine the sufficient sample number for blasting vibration estimation. Most important result is that much more than 30 sample data and succeeding measurement are necessary to estimate confident blasting vibration level and to determine limit scaled distance.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.45-59
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• 2014

An empirical analysis on the structural causes on the economic underdevelopment of a specific region is an important work for the constituents to solve the submitted problems of those sources of the questions and to establish more active regional economic growth structure hereafter. Basically this paper recognizes that the fragile characteristics of accumulation structure is due to the higher portion of small enterprises and other unfavorable material conditions compared to other regions. On the basis of this estimation, we are going to present some materials to help establishing the development strategies by analysing the structural characteristics of time serial GRDP and Regional Input-Output Tables.

• Journal of Korean Society of Forest Science
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• v.112 no.1
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• pp.23-31
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• 2023

Predicting forest productivity is essential to evaluate sustainable forest management or to enhance forest ecosystem services. Ordinary least squares (OLS) and partial least squares (PLS) regression models were used to develop predictive models for forest productivity (site index) from the site characteristics and soil profile, along with soil physical and chemical properties, of 112 Quercus mongolica stands. The adjusted coefficients of determination (adjusted R²) in the regression models were higher for the site characteristics and soil profile of B horizon (R²=0.32) and of A horizon (R²=0.29) than for the soil physical and chemical properties of B horizon (R²=0.21) and A horizon (R²=0.09). The PLS models (R²=0.20-0.32) were better predictors of site index than the OLS models (R²=0.09-0.31). These results suggest that the regression models for Q. mongolica can be applied to predict the forest productivity, but new variables may need to be developed to enhance the explanatory power of regression models.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.87-108
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• 2020

The Korean logistics industry has grown with the development of domestic industries. The industry plays an important role in national and regional economic growth, and the government has continued policy efforts to foster the industry. This study analyzes the competitiveness of the regional logistics industry and its contribution to the regional economy. Location coefficients are used to analyze local specialization in each logistics industry. The value-added rate, GDP contribution, value-added induction coefficient, and net value-added income of regional logistics industries are analyzed using a regional input-output table. As a result, the logistics industry is found to have net value-added income and competitiveness in some regions, and there is no relationship between the location coefficient and the value-added contribution of the regional logistics industry. Seoul, Incheon, Gyeonggi, Busan, and Jeju have the competitiveness of each logistics industry. In addition, we identified the regions where the logistics infrastructure is well developed and those in which it needs to be supported. The regions where the logistics industry has developed require policies for making high value-added by logistics activity, and regions with insufficient growth need to support the development of the logistics industry by investing human resources and capital that can meet the local demand.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.2
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• pp.73-85
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• 2016

Systematic and efficient forestry management is required because of the long-term low profitability of timber production and forest products. In this situation, non-timber forest products can be the solution to secure stable sources of income for workers in the forestry field. However, the existing studies for non-timber forest products focus on effective production and economic analysis and provide plans for increasing the income and improving the marketing system. Therefore, this research intends to analyze the spatial distribution as well as quantitative concentration of non-timber forest production. To achieve this goal, this study examined the regional concentration and dispersion of non-timber forest production in 2001, 2007, and 2014 using the coefficient of localization(CL) and location quotient(LQ) and investigated the change in spatial distribution using spatial statistics. The production of chestnuts generally showed a concentrated pattern in 2014 based on the outputs of the CL and LQ, but the result of spatial autocorrelation indicated a decrease in the spatial concentration. In addition, astringent persimmon showed more concentration from the output of CL than oak mushroom, but Moran's I suggests the opposite. Therefore, it is necessary to examine the spatial distribution to understand and improve the marketing system and intensify the production of forest products.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.694-711
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• 2016

This study analyzes the spatial characteristics of knowledge industry which has shown relatively rapid growth in the low-growth economy situation in recent years. In particular, we catch hold of the locational characteristics of the knowledge service industry which occupies the highest ratio by professional-expert jobs favoured by young generations, as well as estimate their occupational employment opportunities. By applying Location Quotient(LQ) and LISA, we reveal the spatial distribution patterns of publishing business, information service business and education service business in the Seoul Metropolitan area, and examine the changes in the spatial patterns during the last ten years. In order to understand the socio-economic factors which explain their locations, we apply the stepwise multiple regression analysis. Furthermore, we predict the changes distribution of Knowledge service industrial employment by applying Markov Chain Model. As the result, we found their clusters at the specific locations, while there is the significant variations in the socio-economic variables related their locations respectively. The related job opportunities of the knowledge service businesses in the Seoul Metropolitan area are predicted steady growth trend for the next four years, even though dull or stagnant trend is expected for other industries. This study provides basic resources to the planning for young generation employment problem.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.12B
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• pp.1087-1098
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• 2006

This study is unlike common Input-Output Analysis in the point that both RAS and methods are applied to the dynamic Input-Output Model simultaneously. We have analyzed the propagation effects on the regional economy from the investment generated by u-City construction in Wha-sung and Dong-tan City. The main results of the study are as follows. The total induced effect on production according to u-City construction in Wha-sung and Dong-tan City is estimated about 2.9 times. On the other hand, u-City industry is appreciated as a industry which a forward linkage effect is very high while a backward linkage effect is not that high.

• Journal of Families and Better Life
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• v.12 no.1
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• pp.117-131
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• 1994

본 연구는 근린환경에 대한 거주자의 인지도를 파악하고, 현재 거주하고있는 지역의 근린환경에 대한 만족도를 조사하여 앞으로의 주거이동 성향이 어떻게 나타날 것인가를 예측해보는데 그 목적이 있다. 측정도구의 신뢰도계수($Cronbach's\;\alpha$)는 0.865이며, 분석방법은 빈도, 평균, $x^2$ 검증, t-검증, 일원변령분석 요인분석, 피어슨의 상관계수, 중다회귀분석, 다변량판별분석을 사용하였다. 연구결과는 첫째 '입지성' 속성에 대해 거주자의 인지와 만족이 가장 긍정적이었고 '쾌적성 및 정체감' 에 대해 가정 부정적이었다. 둘째 근린환경 인지도가 높을수록 부인의 교육수준이 높을수록 주거소유권이 자가이고 상가주변지역에 살고 있는 거주자들의 근린환경에 대한 총 만족도가 높게 나타났다. 셋째 거주기간 총 만족도, 주거용도 지역, 주택규모, 소득수준이 주거이동 성향을 판별하는 변인으로 나타났다.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.3
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• pp.377-393
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• 2011

This study aims to indicate the spatial characteristics of the changes in the Korean farm land. In particular, we analyze the spatial diffusion patterns of organic farms increasing rapidly with the growth in the agricultural product markets as well as the demand for safe food and sustainable growth. For the purpose, we examine the changes in the distribution patterns of organic farms between year 2000 and 2005. We analyze the agglomeration pattern by Location Quotient (LQ) and Local indicator of spatial association (LISA). Organic farms have been spread out from the outscuirts of Seoul, the capital city, to the traditional agriculture spetilized area in the southern parts of the nation. In order to analyze the relationships between organic farm distribution and the geographical variables affecting the organic farming, we develop multivariate regression models. Our findings indicate that organic farming is related with the number of agriculture-based business and information technique adaptation as well as the level of education and farmers age.