• Journal of the Korean Geographical Society
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• v.48 no.3
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• pp.466-481
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• 2013

The purpose of this research is to propose a model for education for sustainable development (ESD) within the geography curriculum. The study consists of two parts. The first part discusses the normal view of a model to assess the curriculum, namely the content and the cognitive dimensions. The ESD component necessitates an action program with skills and citizenship considered as the Objective Dimension. The second part of the paper examines the means for adding the Objective Dimension which follows a taking action approach through knowledge, skills, and citizenship that are consistent with ESD goals. The research procedure applied the methodology of the Delphi process. The theoretical model was initially developed by the researchers based on current practices in geography assessment in South Korea and the U.S. The model was tested using the Delphi technique by high school geography teachers and geography education faculty members in both countries who were recognized experts in their field. The research complements the curriculum and instructional activities that have been under way with the United Nations Decade of Education for Sustainable Development (UNDESD). The model may be used to deliberate proposals for building an ESD component into existing assessment practices.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.492-507
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• 2008

Many classical network analysis methods approach networks in aspatial perspectives. Measuring network reliability and finding critical nodes in particular, the analyses consider only network connection topology ignoring spatial components in the network such as node attributes and edge distances. Using local network autocorrelation measure, this study handles the problem. By quantifying similarity or clustering of individual objects' attributes in space, local autocorrelation measures can indicate significance of individual nodes in a network. As an application, this study analyzed internet backbone networks in the United States using both classical disjoint product method and Getis-Ord local G statistics. In the process, two variables (population size and reliability) were applied as node attributes. The results showed that local network autocorrelation measures could provide local clusters of critical nodes enabling more empirical and realistic analysis particularly when research interests were local network ranges or impacts.

• Journal of the Korean Geographical Society
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• v.28 no.4
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• pp.298-311
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• 1993

Simulation modeling was applied to predict the response of northeast Florida coastal wetlands to futrue sea levl rise due to global warming. Remote sensing and geographic information systems (GLS) were used to develop, manipulate, and synthesize input data, including land cover, digital elevation data, and site characteristics data. The SLAMM3 model evaluated this input data to predict responses of coastal wetlands and lowlands to inundation and erosion by sea level rise, and determined transfers from one habitat to another on a cell-by-cell basis. Significant changes were predicted from different scenarios of sea level rise: 0.5m, 1.0m, and 1.25m. The simulations indicated that 31.9 percent and 40.0 percent of wetlands within the study area would be lost with 1.0m and 1.25m sea level rise respectively, and a 6.5 percent loss with 0.5m rise.

• Journal of the Korean Geographical Society
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• v.28 no.4
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• pp.356-378
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• 1993

This study examines the competitiveness of urban industrial structure and its changing characteristics. Cluster analysis of Arizona towns based on economic functions revealed the changing characteristics of urban functions over time. The relationship between the changes of urban functions and industrial competitiveness was confirmed through shift-share analysis. The level of industrial specialization has become more closely related to urban size in terms of both population and employment, but the relationship between metropolitan location and specialization level is not clear. Also, it is validated that the economies of Arizona towns have become more diversified and, consequently, have tended to converge toward the state average in industrial structure over time.

• Journal of the Korean Geographical Society
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• v.38 no.6
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• pp.906-921
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• 2003

This paper discusses the price effects of local growth controls on the housing markets of California jurisdictions in the late 1980s empirically. Particularly, based on spatial econometric modeling, the study focuses on the homebuilding constrained by growth controls which is one of the price effects. The modeling produces the California-wide generalizable results, differentiates among the individual effects of various growth controls on homebuilding, and covers spatial effects. Thereby, this study intends to supplement the existing work on the price effects of growth controls. The modeling results find that restrictive residential zoning had the effect of significantly restricting housing construction in the late 1980s. On the other hand, urban growth boundaries had the effect of accommodating homebuilding. Population growth or housing permit caps and adequate public facility ordinances had no significant effects on housing construction.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.2
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• pp.143-162
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• 2021

This study reviews the progress of maquiladora industry in Mexico and the development of the IMMEX program. The maquiladora program allows foreign-invested factories in Mexico to import raw materials and components duty free and to export the finished products to the U.S. It contributed to the increase in employment and population of border cities. Low wage level of Mexico induced not only standardized labor-intensive industries but also the high-tech automated industries requiring assembly process. In 2006, the Mexican government merged the maquiladora program and PITEX for Mexican export-oriented firms into a single new program, the IMMEX program, in order to promote exports more efficiently. This study presents the distributions of the IMMEX firms by industrial sector and by region. It is revealed that transport equipment sector leads the export industries in Mexico, and Tijuana and Juárez accommodate largest agglomerations of the IMMEX firms.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.23-40
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• 2022

Under the global economic system, production activities has formed an international division of labor, which has greatly affected industries in individual countries by global issues such as the U.S-China trade war and neo-protectionism. In particular the risk and change of disconnection of semiconductor value chain caused by COVID-19 are evaluated as offering the crisis and opportunity at the same time to all countries participating in the global electronics industry value chain. Therefore, this study was conducted with the OECD Trade in Value Added(TiVA) based on the time when a detailed analysis of the global chain of the electronic industry is needed. As a result of the analysis, it was confirmed that the global value chain of the electronics industry is gradually expanding and strengthening, and that various countries are emerging as major actors in the global value chain. It was found that the U.S. and Japan are in charge of relatively high value-added activities, while Korea, Taiwan and China are in charge of low value-added activities, although they are large scale.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.420-450
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• 2022

Texas has recently emerged as a phenomenal industrial destination, which attracts headquarters, production facilities, and/or regional centers of global corporations including Tesla and Samsung. Known as "Texit", this trend of corporate investment to Texas has concentrated in highly developed industrial clusters (such as Dallas-Fort Worth, Houston, Austin, and San Antonio) since the early 2000s. Against this background, this paper examines sectoral and geographical characteristics of those clusters, and investigates associated state initiatives that have been introduced and implemented. As a result, key policy measures in the state are found to be aligned to free-market liberalism, diversified incentives, and regional specialization. Unlike Silicon Valley where Bohemian liberalism engendered vibrant entrepreneurship and innovative start-up formation, it is the strong state government that leads industrial cluster upgrading in Texas, while successfully harnessing lower income taxes and deregulation, affordable land and infrastructure, and quality higher education and human capital as regional assets for attracting inward investment.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.397-419
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• 2022

Smart agriculture has emerged to be a solution to the global food crisis and a new growth engine in the era of the Fourth Industrial Revolution. The purpose of this study is to reveal the spatiality of smart agriculture by analyzing smart agriculture policies in major countries and examining how major's agricultural knowledge and experience are expressed in specific agricultural environment. I selected China, Japan, the Netherlands, and the United States as representative examples. In the analysis of agricultural policy, the direction, governance and main areas and technologies were focused. As a result, it is found both standardization strategy and the localization strategy work at the same time. Standardization strategies decontextualize technologies and policies from the economic, social, cultural, and ecological contexts of region. The regionalization strategy builds a smart agricultural model for each country with reflecting geographical characteristics. This study could be for facilitating further researches on geographies of agricultural technology and agricultural knowledge production.

• Journal of the Korean Geographical Society
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• v.30 no.4
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• pp.333-351
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• 1995

Trend surface analysis (TSA) was selected to estimate a natural trend in precipitation and to examine urban influences on precipitation over five urban areas (Houston, Dallas, and San Antonio, TX; New Orleans, LA; and Memphis, TN) in the southern United States. TSA was applied to monthly, seasonal and annual normal precipitation data for the period of 1961-1990. Winter and spring have more trends than summer and fall and the period of November through March have more marked trends than the period of April through October in all study areas except the Houston area. Residual maps for Houston, Dallas and San Antonio have positive residuals in the city and downwind during summer indicating that urban effects on precipitation enhancement in these areas do exist during these seasons after eliminating the natural precipitation variations. Summer residual maps for New Orleans and Memphis have no distinct precipitation increases due to urban effects. The June residual map in New Orleans and the July residual map in Memphis have positive values in the city, but the magnitude of values is smaller than other cities.