• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.1
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• pp.61-72
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• 2017

Due to the climate change, damages of human life and property caused by natural disaster have recently been increasing consistently. In South Korea, total damage by natural disasters over 20 years from 1994 to 2013 is about 1.0 million dollars. The 13% of total damage caused by heavy snow. This is smaller amount than the damage by heavy rainfall or typhoon, but still could cause severe damage in the society. In this study, the snow damage in Gangwon region was estimated using climate variables (daily maximum snow depth, relative humidity, minimum temperature) and scoio-economic variables (Farm population density, GRDP). Multiple regression analysis with enter method was applied to estimate snow damage. As the results, adjusted R-square is above 0.7 in some sub-regions and shows the good applicability although the extreme values are not predicted well. The developed model might be applied for the prompt disaster response.

• Journal of Korean Society of Transportation
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• v.23 no.2
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• pp.7-24
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• 2005

A large scale international airport is an essential ingredient of the regional and the national economy. It helps the regional and the national economy booming. On the other hand, some international airport forms a region by itself with the surrounding community, which tends to keep growing. The airport development can be viewed as a sort of regional development and its sustainability needs to be examined during both planning phase and operating phase. n this paper, a system dynamic model is proposed to access the sustainability of airport develpment and the model is applied to address the sustainability of Korea's new international airport. Incheon International Airport, develpment. The study reveals that the phase 2 facilities need to be built quickly to meet anticipated future traffic and that the air pollutants need to be reduced by 6% to keep the airport development sustainable.

• Environmental and Resource Economics Review
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• v.30 no.3
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• pp.503-533
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• 2021

This paper analyzes the relationships among the energy consumption, renewable energy production, real gross regional domestic product(GRDP), and greenhouse gas(GHG) emissions. It uses the metropolitan city and province level data for Korea from 2010 to 2018, employing a panal vector autoregressive(VAR) model. We find that an increase in energy consumption has a limited impact on boosting renewable energy production or gross regional domestic product, while it leads to an increase in greenhouse gas emissions. A rise in renewable energy production can increase gross regional domestic product, but it has no meaningful effects on energy consumption and the reduction of green house gas emissions. Our finding indicates that it is crucial to expand the supply of renewable energy as well as to decrease energy consumption in order to achieve the goal of reducing greenhouse gas emissions and reaching economic growth.

• Journal of Korean Society of Rural Planning
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• v.29 no.3
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• pp.91-97
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• 2023

The purpose of this research is to apply the regional development attractiveness of the national level determined in the previous study to the city and county level of Chungcheongnam-do. We verified results with the population change of the floating population data. In order to measure regional development attractiveness in 2020, Chungcheongnam-do's integrated air environment index and per capita gross regional product were gathered. Population movement data over the past five years have been used to analyze population changes in the floating population data. Regional development attractiveness depended on the data of GDP per capita, which had a large difference between the maximum and minimum values. The rate of increase or decrease in population change by city and county in Chungcheongnam-do over the past five years has changed significantly since 2021 and characteristics of each group were grouped into four groups. Based on the environment and economic feasibility of the region, it can be the starting point for a new analysis of Korea's regional development projects and the selection of target sites. Policy suggestions can also be made in spatial plans such as short-term comprehensive plans, long-term comprehensive plans, and development plans. It can be a limit of this research that regional development attractiveness was determined by the relatively large per capita gross domestic product. It is necessary to further develop regional development attractiveness by closely investigating the characteristics of the region, social problems, and emissions of environmentally harmful substances.

• Journal of the Korean Regional Science Association
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• v.39 no.3
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• pp.49-63
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• 2023

This study investigates the occupational mobility patterns of young wage employees at the local level of the labor market and empirically examines the interplay between worker-level and local labor market-level determinants between 2010 and 2020. The 4th to 14th waves of the Youth Panel 2007 were integrated with the Korea Network for Occupations and Workers and the Local Area Labor Force Survey for estimation using hierarchical linear model. Our results indicate that Gross Regional Domestic Product per capita is key determinant of occupational upward mobility. Also, Estimates of employment size, population density, and the unemployment rate of local labor market have different effects depending on the education level and occupational location of youth workers, suggesting that the effects of structural factors of local labor market may not be distributed equally among all youth wage workers. The findings have policy implications regarding the recent rise in inequality and polarization in local labor markets.

• Korea Trade Review
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• v.41 no.4
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• pp.221-243
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• 2016

This study examined the trade of the Central Asian CIS countries and the Daegu-Gyeongbuk region. These countries are rich in resources such as oil, natural gas and aluminum. These countries were switched to capitalist market economy after independence from the Soviet Union. So, these countries are considered as new emerging markets. This study analyzed the current status of trade between Daegu-Gyeongbuk region and Central Asian CIS countries. The result of analysis of the trade structure between the Daegu-Gyeongbuk and Central Asian CIS countries, and of the Daegu-Gyeongbuk region exports to Central Asian CIS countries showed insufficience when compared with the total export of korea. In this study, we used the gravity model to analyze the trade volume of the Daegu-Gyeongbuk region and Central Asian CIS countries. The result of analysis is that the globalization of Central Asian CIS countries appeared to be effective in increasing trade. In order to increase trade, Korea and CIS countries should strengthen their economic cooperation. Especially, these countries should try to implement FTAs for economic integration. The Central Asian CIS countries have an industrial structure that relies on resource exports. So, they have a blueprint for diversification of industries through national long-term plans. The Daegu-Gyeongbuk region's economy has been going through long-term stagnation. If the Daegu-Gyeongbuk companies can enter the Central Asian CIS countries, it can be a solution for the local economy.

• Korea Trade Review
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• v.41 no.3
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• pp.177-198
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• 2016

China has retained economic growth rate of average 9% for more than ten years recently after China introduced capitalistic market economy system in 1979 by Deng Xiaoping. China has attracted foreign direct investment for a long time because it has retained very high economic growth rate, low labor cost, and various policies for foreign investors. This paper tries to analyse the determinants of foreign direct investment inflow after reform-opening of China with empirical analysis methods utilizing each province·city's specific characteristics by using the panel data from 1985 to 2013. For the empirical analysis we use random effect model, fixed effect model, pooled OLS, and random coefficient model. The results by pooled OLS and random coefficient model are presented for the comparison with the main results in the process of research. The research shows the results by fixed effect model are better than those by random effect model after doing Hausman's test. The results shows that GRDP, capital stock, and telecommunication exert a positive relationship with foreign direct investment, while express way variable exerts a negative one. China's education level surprisingly does not attract foreign direct investment even though it is not at a critical level. Therefore, the Chinese government should try to increase national income level as it symbolizes market size; encourage domestic investment; and construct high quality telecommunication infrastructure.

• Korea Trade Review
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• v.43 no.1
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• pp.131-152
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• 2018

This study evaluates the potential by Chines region for entry of Korean logistics companies and retailers. The variables affecting e-commerce business and retail sales concerning the Chinese omni-channel market were extracted from a thorough literature review. Empirical analyses for variables based on 31 regions in China were performed. Results show that e-commerce is affected by disposable income and internet traffic and that retail sales are affected by urban and rural population, GRDP and urbanization. In addition, we performed variance decomposition analysis in order to estimate responses of logistics GDP(transport, storage and communication) and the number of Chinese mobile users. Exogenous shocks to logistics GDP and the number of mobile phone users play a strong role in explaining the forecast error of express service variance over time. Based on our results, we suggest 7 potential regions(Guangdong, Jiangsu, Zhejiang, Beijing, Shanghai, Liaoning and Shandong) as well as managerial implications for entry into China for logistics companies and retailers.

• 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 Digital Convergence
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• v.18 no.5
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• pp.25-31
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• 2020

This study analyzes the effects of aging workforce on human capital and the per capita gross regional domestic product, using regional panel statistics from 1995 to 2017. According to the results of the two-stage least-squares panel regression analysis reflecting the fixed effects by region, the aging of the labor force had no effect on the human capital employment ratio and per capita gross domestic product in the metropolitan cities, but reduced human capital and per capita gross domestic product in the provinces. The share of service businesses had a positive effect on human capital in metropolitan cities, but the effect was not significant in the provinces. Human capital significantly contributed to the increase in per capita gross regional domestic product in the metropolitan cities, but the physical capital stock significantly contributed to the increase in per capita gross regional domestic product in the provinces. The results of this study suggest that the human capital job policy and the per capita regional GDP growth policy due to the aging workforce may be different between metropolitan cities and provinces.