• 농촌계획
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• 제20권3호
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• pp.11-20
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• 2014

This research aims to identify regional inequitable development through the analysis of facilities distribution pattern. This study describes the concepts underlying the application of the Gini's coefficient and decomposition method to measure the regional inequitable development in Sun-chang County, Jeonbuk Province, Korea. We used the facility data surveyed for three years, from 2010 to 2012 for facility distribution pattern that RDA surveyed. These data have been serviced on the web. The Lorenz Curve presents a graphical view of the inequitable facility distribution and the Gini's Coefficients quantifies the distribution pattern. And furthermore, Gini Decomposition represents intra regional inequalities. These applied techniques can describe how the local development affects other district and change regional inequalities.

• 수완나부미
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• 제16권1호
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• pp.175-203
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• 2024

With the enactment of international free trade and economic agreements and cooperation, BIMP-EAGA is an opportunity to accelerate development and economic growth in eastern Indonesia. This subregional cooperation could be used to reduce the development gap or inequality between the western and eastern regions, which are geographically, demographically, and economically different. This cooperation also may accelerate development in the border area. This study analyzes Indonesia's policies related to connectivity in BIMP-EAGA subregional cooperation and its implementation. The study results show that the National Secretariat of Sub-Regional Economic Cooperation has encouraged cooperation clusters ranging from natural resources, transportation, infrastructure, ICT, and tourism to MSMEs. In terms of connectivity, Indonesia is also involved in the development program of three economic corridors, namely West Borneo, East Borneo, and Sulu-Sulawesi. Indonesia's involvement in the three corridors has boosted the connectivity of Indonesia's territory, especially border areas, with neighboring countries. Connectivity has covered not only physical but also institutional and people-to-people dimensions. However, there are still several challenges, ranging from the standardization of the Customs, Immigration, and Quarantine (CIQ) mechanisms, improvement of institutional quality, and consistent strong political will among the involved parties. In addition, considering the vulnerability of the BIMP subregion to transnational crimes and acts of radical terrorism, BIMP-EAGA needs to think about solutions to overcome these cross-border security problems so that the momentum of development in the subregion may be sustained.

• 대한지리학회지
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• 제50권1호
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• pp.73-90
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• 2015

본 연구는 라오스 자본주의 발전의 지리제도적 분화와 다중스케일 분석에 주목한다. 또한 메콩유역권이 신제도주의 경제학과 경제지리학적 배열에 미친 영향을 논의하고 아시아 자본주의 다양성 접근법의 유용성을 제시한다. 본 연구는 상위 스케일에 연결되어 있는 다양한 국가 내 제도적 분포를 밝히기 위해 중국의 수요로 성장하고 있는 라오스의 고무산업을 사례로 선정하였다. 라오스 고무산업의 자본주의적 발전은 중국, 태국, 베트남 투자자들의 서로 다른 전략에 의한 지리제도적 분화를 보여준다. 이행기에 있는 라오스 자본주의의 분포를 정확하게 파악하는 것은 어렵지만, 고무산업에서 나타나는 증거는 다양한 제도적 분포가 존재함을 드러낸다. 그러나 포괄성의 부재는 지역발전 측면에서 우려되는 점이 있는데, 배타적 분포가 지역의 불균등한 발전과 불평등을 악화시킬 가능성이 높기 때문이다. 그리고 개발도상국 국가 내 자본주의의 다양성에 대한 이론을 정교화하기 위해 지역의 사적 자본주의 개념, 국가와 지역정부의 복합적 상호작용, 그리고 자본축적과 생계수단분석 간의 관계를 분명히 고려하는 것이 필요하다.

• 한국IT서비스학회지
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• 제22권2호
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• pp.1-21
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• 2023

Due to the convergence and complexity of the 4th Industrial Revolution, the boundaries between industries have become unclear and ambiguous. Consequently, there is a lack of research on how firms engaged in this industry are changing their location behavior. Recently, some attempts to classify the industrial groups of the 4th Industrial Revolution and their detail occupations have been made, and this study adopts the classification of Lee and Jung (2020) of the Korea Institute for Industrial Economics & Trade. In this study, the 18 detailed industries commonly included in multiple industrial groups are defined as 'core industries' and are classified into manufacturing and service industries to explore the spatial patterns of firms' location. Specifically, this study aims to examine how the location behavior of firms in core industries of the 4th Industrial Revolution has changed from 2010 to 2019 in the Seoul metropolitan area, using the 「National Business Survey」 data. We employed two methods based on spatial auto-correlation: (i) spatial kernel density estimation analysis and (ii) local Moran's I_i analysis. The results indicate that the core industry firms form more distinct and larger clusters in 2019 based on the clusters formed in 2010. Specifically, manufacturing industry firms tended to concentrate in the southern region of Gyeonggi and parts of Seoul, while serivce industry firms were more concentrated in Seoul. These core industries play a critical role in industries and are closely related to the ICT industries, which generate high-added value and increase productivity in the front and rear industries. This study reveals that the agglomeration of these industries in specific regions is intensifying and may exacerbate regional inequality.