• Journal of Korean Society of Rural Planning
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• v.20 no.3
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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.

• SUVANNABHUMI
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• v.16 no.1
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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.

• Journal of the Korean Geographical Society
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• v.50 no.1
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• pp.73-90
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• 2015

This article focuses on geo-institutional differentiation and a multi-scalar analysis of emerging capitalist development in Laos. It discusses the impact of the Greater Mekong Subregion on new institutional economic and economic geographical arrangements. It demonstrates the usefulness of the varieties of Asian capitalism approach. The rubber industry was chosen to unravel emerging but various sub-national institutional arrangements linked to higher scale levels. Rubber is a growing agribusiness industry throughout the country, led by the insatiable demand from China. Overall, this study shows that the capitalist development of the rubber industry features much geo-institutional differentiation, due to the different strategies of Chinese, Thai and Vietnamese investors. Since Laos is still in transition from a state-led economy to something else, it is impossible at this to identify the exact number capitalisms. Yet, the evidence on rubber clearly lays bare the presence of multiple institutional arrangements. Without more inclusiveness, however, the implications for regional development are worrying. Exclusive arrangements will most likely lead to more uneven regional development and higher regional inequality. To refine theories on sub-national varieties of capitalism in developing countries it is instructive to consider more explicitly the notion of regional personal capitalisms and the complex interplay between national and regional states and relationships between capital accumulation and livelihood analyses.

• Journal of Information Technology Services
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• v.22 no.2
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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.