• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.627-644
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• 2009

In the knowledge-based economy highlighting the importance of human capital, there has been a growing interest in human capital externalities as a fundamental engine of growth and development of a region. The purpose of this study is to analyze human capital externalities using 3-level hierarchical linear model(3-HLM), decomposing determinants of wages into three levels involving workers(level-1) nested within firms(level-2) nested within regions(level-3). This study separately estimates the effect of the average education level on the wages by three different schooling groups on the assumption that the intensity of knowledge spillovers varies with each group's schooling level. The main results are as follows; First, the coefficient of the average education level of a region shows 0.044, indicating that one-year increase in the average level of schooling could increase average individual earnings by 4.4%. Secondly, the external effects of human capital on three different schooling groups are considerably different, raising less than high school graduates' wages by 3.0%, college graduates' wages by 4.7%, and graduate schools' wages by 11.8%, respectively. Thirdly, well educated workers are much more sensitive to the variation of the regional education level than less educated ones when we apply the shares of each schooling group as alternative measures for the average level of education. Such findings of this study draw an implication that local governments could speed up regional economic growth in the knowledge-based economy by not only raising total human capital stock in a region but building the close networks that promote productivity-enhancing human capital external effects.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.4
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• pp.600-616
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• 2022

This study contemplates spatial context of startup in manufacturing, mainly analyzing job creation effects of time lag of startups in manufacturing at different technology levels. Using DID model, we found that each region including capital, non-capital and metropolitan area shows different job creation effects of time lag. In capial region, startup cohort in high R&D intensity manufacturing was found to show short-term job creation effects, but in non-capital region, long-term job creation effects was found with the one in medium-high R&D intensity manufacturing. In case of metropolitan area, we couldn't find much evidence of job creation effects that was statistically significant. The result of analysis implied that, in capital region, startup support policies, targeting at high R&D intensity manufacturing, ought to be focused on scale-up of startups that survived for a certain period. And non-capital area and some of metropolitan areas in non-capital region that have comparatively inferior infrastructure and brain-drain problems as well should focus on fostering startups in medium-high R&D intensity manufacturing in a long-term perspective and utilize their traditional manufacturing base.

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

• Journal of Family Resource Management and Policy Review
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• v.15 no.1
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• pp.29-49
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• 2011

Social capital theory provides a robust framework for analyzing economic well being. The purpose of this study was to investigate the effects of social capital on the economic satisfaction of retirees in Korea. The data from the first wave of KLoSA(Korean Longitudinal Study of Aging) were used(n=1,628). SPSS 12.0 was used for descriptive statistics and multiple regression analysis. The major findings were as follows: First, after controlling for gender, age, region, housing tenure, and personal income, the social capital of the retirees, including cognitive social capital(trust and reciprocity) and structural social capital(emotional and economic familial support, and a well-developed social network), contributes to increases in their economic well-being. Second, the degree of effect social capital has on well-being varied by gender and age; the effect was also different according to gender, regardless of the person's age. These empirical results provide a basis for the institution of policies that help bolster economic wellbeing for retirees by creating conditions that increase social capital in this group.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.2
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• pp.181-195
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• 2010

The policy of industrial complexes (innovative clusters) is being changed to build the linkage structure within Mega Economic Region according to the national policy of Mega Economic Region. The aim of this analysis is to draw the hypothetical linkage structure of industrial complexes in the internal and external Capital Region. First, with the survey data of firms located in the industrial complexes, we can catch the regional linkages of firms in the local area and internal and external Mega Economic Region. Next, the measure of structural similarity between industrial complexes is calculated with the number of employees by industrial sectors. After considering the geographical distance between industrial complexes, the percentage of industrial sectors and the location quotient synthetically, the idea of hub-and-spoke type linkage structure between clusters is deduced.

• Journal of the Korean Geographical Society
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• v.37 no.1
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• pp.15-40
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• 2002

This study is an attempt to grasp the spatial patterns and characteristics in the freight flows based on freight quantity data in 1997. The spatial background for the study is the Capital Region, which plays an important role in regional economics and industrial development. The methodology in the research used factor analysis to produce a functional region. The study selected three categories of freight that account for more than 60 percent of freight flows, chemical industrial goods, light industrial goods, and metal machinery industrial goods. The target analysis unit is divided into 36 zones. The common characteristic of the three categories is that they are concentrated at one specific region than are dispersed regionally. And in particular, the remarkable feature is that the central region of the study is Seoul. Usually the eminent regions of nows were made where environment of distribution facilities is good but these were made in a less than good environment. I think a reason is that facilities were uneven distribution.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.324-350
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• 2020

COVID-19 has challenged the pandemic response capability of many countries. Many governments around the world have imposed strict quarantine measures and border control to slow the spread of the virus. In the Philippines, the longest community quarantine has been imposed in the National Capital Region (NCR). However, the effectiveness of such measures is dependent on the cooperation of the public. The objective of this study was to gain an understanding of the knowledge, attitudes, and practices (KAP) of selected employees in the NCR. An online survey was conducted June 4-18, 2020, with 100 employed people living in the NCR. Frequencies and percentages were computed to describe the respondents' answers, and the Kruskal-Wallis test was used to determine the differences in the respondents' KAP levels according to selected demographic characteristics. Of those surveyed, 92% have a high knowledge of COVID-19. The respondents have a positive attitude toward the need for health education and the seriousness of COVID-19, as well as stricter measures against the pandemic, but are less positive in terms of how the government is responding to the pandemic. They also follow strict measures that will prevent the further spread of the virus. The results highlight the respondents' favorability of stricter government measures to control the spread of COVID-19, including the reimposition of an enhanced community quarantine in the NCR.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.147-156
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• 2022

The study aims to identify factors that influence university and college students' entrepreneurial intentions in Vietnam's Mekong Delta region. The study examines entrepreneurship mindset, subjective norm, capital sources, concept development assistance, personality qualities, and perceived behavioral control of university support for a student's entrepreneurial aim. The research was conducted according to the quantitative method. The data was collected through an online survey with a sample size of 611 students from 19 universities and colleges in the Mekong Delta region. The methods that test the scale, including Cronbach Alpha Test, Structural Equation Modeling (SEM), are used to consider the correlation between the influence factors. The results of SEM analysis show that there are five main factors affecting students' entrepreneurial intention with decreasing level of influence, including the source of capital, perceived behavioral control, business development support, entrepreneurial attitude, and educational support. Besides, the results indicate that the subjective norm, personality traits, and concept development support have no impact on the intention of students toward entrepreneurship. The research also reveals that the entrepreneurial intention of students at universities and colleges has a positive relationship and is significantly affected by capital source and perceived behavioral control.

• International Area Studies Review
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• v.21 no.4
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• pp.125-139
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• 2017

This study analyzes the determinants and patterns of regional migration in Myanmar. Population migration is affected by various factors such as economic and social factors as well as regional characteristics. It is affected by factors such as income, employment and social overhead capital. Therefore, this study attempts to analyze the following two research problems. First, I would like to analyze whether the reform and opening of Myanmar is causing the migration of rural to urban population. Myanmar is also trying to verify the pattern of population migration experienced by other developing countries. Second, we analyze the impact of social overhead capital on population migration in Myanmar. We analyze the impact of basic infrastructure such as roads, electricity and water on population movements. This will give implications for investment policy decision of social overhead capital for balanced regional development. First, the pattern of population migration in Myanmar is shifting from rural to urban areas, as other developing countries have experienced. Myanmar's urban areas of Yangon and Mandalay have been analyzed as having migration. Second, the expansion of social overhead capital was found to have an impact. Social overhead capital such as roads and educational environments were analyzed to have the capacity to inhale the population. Especially, the educational environment of the region has a great effect on population migration. It is analyzed that education reform is an important policy issue for the balanced regional development of Myanmar. Fourth, employment opportunities were analyzed to have the greatest impact on Myanmar population movements. In the early stage of economic development, it is analyzed that the population moves to a region where employment opportunity is high in the situation where foreign capital is coming in. It is analyzed that the direction of inflow of foreign capital and the imbalance of development in the region will be determined in the situation where the economic development is carried out through foreign capital.

• Journal of the Korean Regional Science Association
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• v.36 no.3
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• pp.29-40
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• 2020

The aims of this study to identify the relationship between regional economic growth and intraregional regional disparities. The 16 metropolitan area, the Capital region and the southeastern region of Korea were put in the spatial scope and the time range from 2005 to 2016. Regional gross domestic product data were used to show regional growth and intraregional disparity. Panel data for each spatial unit were established, panel unit root test and panel cointegration test were conducted to check the stability of the data. The DOLS method was used to identify relationship between regional economic growth and intraregional disparity, and the VECM model and Granger causality test was conducted to verify causality. The result of analysis of 16 metropolitan area units showed that the intraregional disparity increases as regional economic growth progresses. When the regional gross domestic product increased by 1%, the intraregional disparity increased by 1.258%, and there are short-term and long-term causality. Both the Capital region and the southeastern region had a mutual relationship between regional economic growth and intraregional disparity, but the disparity in the Capital region showed an increase and the southeastern region showed a decrease. The results of this study show that the regional disparity is increasing nationwide, but the Capital region and the southeastern region showed different stages of growth.