• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.34-41
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• 2018

This paper studied balanced regional development focused on employment in Korea, by analyzing regional disparity between regional and industrial employment. A Gini-coefficient decomposition method and Panel Granger causality test were conducted, using raw data of the Census on Establishments reported by the Statistics Korea. The regional and industrial disparity of employment, based on the Gini-coefficient decomposition method, have increased by year. However, the growth rates of disparity are on the decrease. Most of employment disparity occurred from regional disparity between SMA (Seoul Metropolitan Area) and Non-SMA. Industrial disparity are occurred mainly by the service industry. The amount of contribution to the whole disparity of inter/intra regional employment was differed by each industrial sector. Also the causal relationship between employment growth of manufacture and that of service industry was analyzed by Panel Granger causality test. In national level, the employment growth in manufacture industry has conduced that in service industry. On the other hand, in the Non-SMA, only the employment growth in manufacture industry has augmented that in service industry. In conclusion, to reduce employment disparity, the strategy for balanced regional development should be emphasized. Different strategies are needed across regions and industries. Basically creating new job in the Non-SMA is inevitable. In view of stable employment, manufacture industry is more desirable rather than service industry.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.357-379
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• 2022

This study diagnoses the industrial varieties and innovation capacity of the Korean regional economy and discusses how the priority for autonomous regional development can be set. Since the late 1990s, regional development policies in Korea have been attempted from various angles to reduce the economic gap between the metropolitan area and non-metropolitan areas, but the establishment of a development strategy in consideration of regional industrial characteristics and innovation capabilities has been insufficient. With the advancement and diversification of technologies and industries, regions must seek strategic diversification to prepare for economic shocks, away from strategies that specialize in specific industries. In this study, industrial varieties in regional basis is characterized using unrelated and related varieties. Variety indices show different patterns between the metropolitan area and non-metropolitan areas and between manufacturing and service sectors, which raises the need to consider industrial characteristics in regional development. Lastly, using the variety index and the innovation capacity index as two dimensions, the regional economic status at the municipal level is categorized into four types, and proper regional development policy priorities are suggested for each type.

• Journal of Korean Society of Rural Planning
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• v.30 no.1
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• pp.1-13
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• 2024

There is a serious risk of regional extinction due to low birth rate and aging in Korea. Accordingly, the regional extinction index is applied to diagnose the extinction status of cities, counties, and districts. However, when the regional extinction index was applied to rural villages, most villages were found to be at 'high risk of extinction'. There is no differentiation in the level of extinction of rural villages. Therefore, a village extinction index was developed to apply to rural villages. This study applies and compares the existing regional extinction index and the newly developed village extinction index to rural villages. The purpose is to propose an index that can better diagnose the extinction of rural villages. As a research method, the regional extinction index and village extinction index are applied to all villages in Haengjeong-ri villages in South Chungcheong Province. And the adequacy of the index suitable for rural villages is diagnosed. For this purpose, ➂ stage distribution for each two indices, ➂ demographic aspect diagnosis, and ➂ resident awareness survey were analyzed. When the village extinction index was used, the discrimination problems seen in the regional extinction index were overcome. As a result of the demographic analysis, the regional extinction index showed that villages with a population of 200 or more were at 'high risk of extinction', but the village extinction index was derived as 'high risk of extinction' for villages with underpopulated populations. Lastly, the results of the residents' awareness survey also showed that the village extinction index was well reflected in the actual situation of rural villages when applied. When the village extinction index was applied to rural villages rather than the regional extinction index, it was found to reflect the actual state of rural extinction better.

• Proceedings of the Korea Society of Environmental Biology Conference
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• 2001.12a
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• pp.84-84
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• 2001

• Journal of Korean Society of Transportation
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• v.3 no.1
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• pp.76-85
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• 1985

The significant role of transportation system for economic development process has been recognized, but the argument that transportation improvements stimulate economic development has brought sometimes no resonance in lacking of a plausible theory on the conditions and process of economic development by transportation investment. This paper reviews the theory on regional differentiation of transportation system and shows why and how the installation of a new transportation system or the improvements of the old transportation quality differentiate the spatial order of economic activities. It presents the interaction between the change of transportation quality with introducing of definition "transportation value" as tool of its determination and economic activities following the regional differentiation process, which result means regional defferentiation of niveau of economic development.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.37
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• pp.111-115
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• 1996

This study is to decide each level ordering policy for deterministic demand in multilevel distribution system. The ordering policy is used the combinations of EOQ and LTC. The combinations of EOQ and LTC are 4 cases. Case 1 : Regional Warehouse∼EOQ, Central Warehouse∼EOQ. Case 2 : Regional Warehouse∼EOQ, Central Warehouse∼LTC. Case 3 : Regional Warehouse∼LTC, Central Warehouse∼EOQ. Case4 : Regional Warehouse∼LTC, Central Warehouse∼LTC. The criterion is to minimize total cost per year.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2005.04a
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• pp.385-388
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• 2005

Through the regional lineament analysis in Korea peninsula, the statistical distribution of regional lineament is investigated. We also analyze the lineaments pattern using the fractal dimension. These results are the preliminary study for a understanding of the deep ground geological structure in Korea. For the investigations of the average block scale, we use the Dershowitz and Herda(1992)'s method. At result, the average spacing between the regional lineaments is about 10km.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.764-781
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• 2016

During the last two decades, industrial cluster policies for promoting regional economic growth and industrial development have been flourishing all over the world. Even though cluster policies have partly contributed to regional industrial growth and innovation capabilities, they have long been blamed for regional industrial lock-ins and declining regional industrial resilience because of applying homeogenous cluster policies and regional specialized strategic industrial promotion policies for various localities, which are based on so-called 'selection and concentration' principle. This paper suggests postcluster policy focused on placed-based smart specialization and regional business platform strategies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2207-2214
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• 2013

This study aims to recognize the regional disparity of employment and to analyse the regional current states and characteristics using the evaluation criteria for employment competitiveness. Firstly, it has revealed that the regional disparity of employment is deepening and disparity from the quality side and stability side are more serious. Secondly, the strongest regional employment competitiveness was found to be Chungnam, followed by Seoul, Ulsan, Gyeongbuk, Daejeon and the region of employment risky is Busan. Lastly, it has analysed that the most influencing factors on employment competitiveness are criteria of stability sector. Therefore, we should make efforts to create jobs of good quality and stable, in order to reduce regional disparity and strengthen the competitiveness of employment. And especially region of employment risky must require continuous monitoring.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.847-859
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• 2019

Purpose: The companies must be located in the area, scale up, create jobs, and return to the local economy. This paper attempted to analyze empirically the relationship between regional context and entrepreneurial orientation(EO) in the region of Korea. Methods: This paper analyzed survey data and regional statistics. We measured EO by region and then examined which regional context affect EO. Regional contexts were measured by population, economic size, budget size, firm size, innovation capacity, and education level. EO was measured by innovativeness, risk taking, proactiveness, autonomy, competitive aggressiveness, and need for achievement. Results: EO was high in the region where the budget size per thousand population, the number of manufacturers per thousand population, the number of new corporations per thousand population, the number of R&D personnel per thousand population, and the number of students of higher education institutions per thousand population were high. Conclusion: The implications of this paper are that regional context affect EO, and there are differences in budget scale, firm size, innovation capacity, and education level. In regions with many investment resources for innovation and startups and manufacturers, the number of R&D personnel and students of higher education institutions (future R&D personnel), in particular, determines EO.