• Journal of the Economic Geographical Society of Korea
• /
• v.20 no.1
• /
• pp.84-104
• /
• 2017

In this study, we divided Gyeonggi-do into Northern, Southern, Western, and Eastern Parts and found out fiscal variables which affected regional economic growth of each Part differentially. And we drew the strategy for economic growth of each Part. After we found out the variables which affected regional economic growth using fixed-effect model, we carried out causality test to determine whether a specific fiscal variable caused economic growth. In the Eastern Part, local tax revenues had a significant effect on the economic growth. Total expenditures, current expenditure in the Southern Part and social welfare expenditure, expenditure on industries, current expenditure in the Northern Part had noticeable effects on economic growth respectively. And we calculated multipliers of fiscal variables to compare the magnitudes of effects among these Parts.

• Journal of the Economic Geographical Society of Korea
• /
• v.10 no.4
• /
• pp.394-413
• /
• 2007

This paper attempts to analyze spatial determinants of innovative activities at the municipal level in Korea, capitalizing upon spatial econometric techniques. Several spatially weighted matrices will be employed, implying diverse spatial conceptions and interactions. A contribution can be have been made to enhancing an understanding of the spatial interaction and structure of knowledge spillovers in Korea.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.24 no.1
• /
• pp.92-111
• /
• 2021

As fine dust negatively affects disease, industry and economy, the people are sensitive to fine dust. Therefore, if the occurrence of fine dust can be predicted, countermeasures can be prepared in advance, which can be helpful for life and economy. Fine dust is affected by the weather and the degree of concentration of fine dust emission sources. The industrial sector has the largest amount of fine dust emissions, and in industrial complexes, factories emit a lot of fine dust as fine dust emission sources. This study targets regions with old industrial complexes in local cities. The purpose of this study is to explore the factors that cause fine dust and develop a predictive model that can predict the occurrence of fine dust. weather data and fine dust data were used, and variables that influence the generation of fine dust were extracted through multiple regression analysis. Based on the results of multiple regression analysis, a model with high predictive power was extracted by learning with a machine learning regression learner model. The performance of the model was confirmed using test data. As a result, the models with high predictive power were linear regression model, Gaussian process regression model, and support vector machine. The proportion of training data and predictive power were not proportional. In addition, the average value of the difference between the predicted value and the measured value was not large, but when the measured value was high, the predictive power was decreased. The results of this study can be developed as a more systematic and precise fine dust prediction service by combining meteorological data and urban big data through local government data hubs. Lastly, it will be an opportunity to promote the development of smart industrial complexes.

• Journal of Arbitration Studies
• /
• v.21 no.2
• /
• pp.157-183
• /
• 2011

본 연구는 한국의 다국적 기업이 세계 여러 지역(유럽, 아프리카, 아시아, 아메리카)에서 글로벌 경제 활동과 사업을 범세계적으로 수행하고 있으며. 범세계적인 글로벌 사업수행에서 지역별 경제변화가 지역적으로 다양하면서, 복잡하게 전개되는 것에 대해서 글로벌기업이 지역별 특성에 적합하게 사업을 영위하면서 글로벌하게 현지시장 접근 방법을 어떠한 기준으로 우선 접근하는지에 대한 방법을 통계처리를 하였으며 향후 어떠한 방법을 수용하여 전략적 방법과 모델을 개발하여 자연스럽게 글로벌화 추이를 알아보고자 연구과제들을 실증 분석 하였음. 그리고 글로벌화 하는 TNC's 기업의 지식과 정보의 습득이 중요하며, 변화와 혁신을 통해서 자신의 분야에서는 세계적 선도 기업이 되고자 하는 TNC's 기업이라면 선진국 TNCs 기업보다는 더 적극적인 전략과 사업 모델을 모색해야 한다는 전제하에 실증모형을 설정하고 연구과제들을 정리하였음. 1. TNC's에 의하여 세계경제 활동에 중요한 변수들을 여러 가지 측면에서 검토하고 지리적요인과 경제적 요소들을 고려하여 기술과 자원의 아웃소싱의 글로벌화 방법을 고려하여 세계경제체제의 변화와 향상에 많은 투자내용들이 지리적인 여건과 글로벌화를 고려하여 투자가 진행되어지는가의 추이를 분석하였음. 2. TNC's의 역량에 따라 사업경영에서 현지국가의 경영관리와 산업의 변화에 까지 영향을 주었고 향후에도 글로벌화 경제의 발달과 향상에 협력하는 기업, 자국의 경제 발달과 향상에 협력하는 기업에까지 긍정적인 협조가 이루어지는 투자형태의 글로벌화 지수의 내용을 실증분석 하였음.

• Journal of Korean Society for Geospatial Information Science
• /
• v.14 no.1 s.35
• /
• pp.85-91
• /
• 2006

Recently, slope failures are happen to natural disastrous when they occur in mountainous areas adjoining highways in Korea. The accidents associated with slope failures have increased due to rapid urbanization of mountainous areas. Therefore, Regular maintenance is essential for all slope and needs maintenance of road safety as well as road function. In this study, we take priority of making a database of risk factor of the failure of a slope before assesment and analysis. The purpose of this paper is to recommend a standard of Slope Management Information Sheet(SMIS) like as Hazard Map. The next research, we suggest to pre-estimated model of a road slope using Logistic Regression Model.

• Journal of the Economic Geographical Society of Korea
• /
• v.16 no.3
• /
• pp.458-471
• /
• 2013

This paper addresses the limitation of a map comparison metric entitled Figure of Merit through employing a simple land change model. The metric was originally designed to overcome limitations of other existing statistics, such as Kappa, when assessing predictive accuracy of land change models. A series of comparisons between null and predicted outcomes at multiple resolutions as well as a multi-resolution Figure of Merit analysis techniques of validation are compared for spatially segregated calibration and validation datasets. The Figure of Merit at the null resolution in this paper was 57%, although future research must be done to determine if this was simply a coincidence. A Figure of Merit greater than 50% would seem to represent a "Resolution of Merit" in that the Figure of Merit at that resolution becomes greater than the error. Thus, these two metrics should be used in tandem to assess predictive accuracy of a land change model.

• Journal of the Economic Geographical Society of Korea
• /
• v.27 no.2
• /
• pp.120-132
• /
• 2024

In this paper, we examine how the market potential affects wages in the regions of Korea. Following Fallah et al.(2011), we construct a panel data set spanning from 2013 to 2020. After removing the characteristics that do not vary by region, changes in average wages were analyzed using a fixed effects model. Controlling for such region-specific characteristics as human capital, industrial structure, and population, the impact of market potential on wages was analyzed by first examining the entire group of cities in Korea, followed by just metropolitan areas and then small cities only. The regional wages are seen to increase across the board when the market potential improves. It was also found that, when the market potential increases, the resulting wage hike of small cities tends to be greater than that of large metropolitan areas.

• Journal of the Korean Geographical Society
• /
• v.36 no.5
• /
• pp.561-577
• /
• 2001

Urban spatial structure is closely related to the spatial distribution of urban economic activities. The spatial distribution pattern is no more than an aggregated expression of the location and/or relocation behavior of individual firms and establishments. In this respect, it is important to identify and examine the factors that affect the spatial behavior of individual firms for a more comprehensive understanding of urban space. Agglomeration economies are one of the most prominent urban economic phenomena in the modern metropolitan area. Most firms in an urban space seek external economies through the spatial clustering of their activities. Agglomeration economies feature prominently in the analysis of urban economic structure across urban areas. While the agglomeration economies between cities focus at the macro-scale of analysis, such economies within any given city focus more on the micro geographical scale. There have been a number of researches on agglomeration economies, among which there are relatively few approaches based on an intra-urban context. This proper explores the agglomeration economies at the micro scale and tries to reseal the spatial realization of the agglomeration economies within and between sectors. Three sectors are considered in the analysis; manufacturing, retail and service. The model is based on simultaneous equation systems combined with spatially weighted variables and estimated by the KRP estimators.

• Journal of the Economic Geographical Society of Korea
• /
• v.24 no.4
• /
• pp.400-410
• /
• 2021

This study analyzed the determinants of carbon dioxide emissions through the expanded STIRPAT model using panel data from 16 metropolitan cities and provinces in Korea from 2000 to 2019. After testing cross-sectional dependence and coefficient heterogeneity of panel data, we performed analysis using MG, CCEMG, and AMG estimation methods reflected these characteristics. The results of analysis using the AMG estimation method are as follows. The coefficients of income, population, and energy intensity were statistically significant with a positive sign, but urbanization was statistically insignificant. Reduction of carbon dioxide emissions in Korea can be achieved through an increase in energy efficiency and sustainable economic growth. It is necessary to establish a policy that can contribute to sustainable economic growth by inducing productivity improvement through technology innovation reducing carbon dioxide emissions in the long-term as well as building a low-carbon society through active development of carbon dioxide reduction technology.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.24 no.2
• /
• pp.64-77
• /
• 2021

The purpose of this study is to examine the spatial distribution of highly educated human capital and to identify key factors affecting their spatial distribution. We analyzed the spatial concentration and inequality using Gini's coefficient and exploratory spatial data analysis and identified the economic and amenity factors to affect the spatial concentration of highly educated human capital using spatial regression model. The findings show that the spatial pattern of highly educated human capital is concentrated, imbalanced, and clustered in Capital region and part of Chungcheong and Gangwon region. The spatial concentration were more affected by economic factor than by amenity factors. This study provides some implication on the regional economic strategies to attract the human capital.