• Health Policy and Management
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• v.30 no.1
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• pp.26-36
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• 2020

Background: The purpose of this study was to analyze the relationship between the regional characteristics and the age-adjusted cardio-cerebrovascular disease mortality rates (SCDMR) in 229 si·gun·gu administrative regions. Methods: SCDMR of man and woman was used as a dependent variable using the statistical data of death cause in 2017. As a representative index of regional characteristics, health behavior factors, socio-demographic and economic factors, physical environment factors, and health care factors were selected as independent variables. Ordinary least square (OLS) regression and geographically weighted regression (GWR) were performed to identify their relationship. Results: OLS analysis showed significant factors affecting the mortality rates of cardio-cerebrovascular disease as follows: high-risk drinking rates, the ratio of elderly living alone, financial independence, and walking practice rates. GWR analysis showed that the regression coefficients were varied by regions and the influence directions of the independent variables on the dependent variable were mixed. GWR showed higher adjusted R² and Akaike information criterion values than those of OLS. Conclusion: If there is a spatial heterogeneity problem as Korea, it is appropriate to use the GWR model to estimate the influence of regional characteristics. Therefore, results using the GWR model suggest that it needs to establish customized health policies and projects for each region considering the socio-economic characteristics of each region.

• Journal of the Korean Regional Science Association
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• v.39 no.4
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• pp.19-32
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• 2023

Using extensive job posting big data, this study investigates the industrial and locational characteristics of decent work from the supply side. The analysis revealed that manufacturing is pivotal in supplying decent work, accompanied by a stark regional disparity, most notable in the Seoul Metropolitan Statistical Area (MSA), which constitutes nearly half of all decent work opportunities. The study further uncovered that the distribution of decent work varies significantly across MSAs, with a pronounced inclination towards a higher supply in peripheral rather than central areas. These findings bring to light the critical need for policies that bolster manufacturing, aiming to enhance the availability of high-quality jobs and to bridge the job quality gap between the Seoul MSA and other regions. Moreover, the results emphasize the necessity for customized job supply strategies in each MSA, prioritizing strategies that account for the proximity between workplaces and living areas in the job supply process.

• Journal of Powder Materials
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• v.23 no.2
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• pp.149-169
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• 2016

Additive manufacturing (AM) is defined as the manufacture of three-dimensional tangible products by additively consolidating two-dimensional patterns layer by layer. In this review, we introduce four fundamental conceptual pillars that support AM technology: the bottom-up manufacturing factor, computer-aided manufacturing factor, distributed manufacturing factor, and eliminated manufacturing factor. All the conceptual factors work together; however, business strategy and technology optimization will vary according to the main factor that we emphasize. In parallel to the manufacturing paradigm shift toward mass personalization, manufacturing industrial ecology evolves to achieve competitiveness in economics of scope. AM technology is indeed a potent candidate manufacturing technology for satisfying volatile and customized markets. From the viewpoint of the innovation technology adoption cycle, various pros and cons of AM technology themselves prove that it is an innovative technology, in particular a disruptive innovation in manufacturing technology, as powder technology was when ingot metallurgy was dominant. Chasms related to the AM technology adoption cycle and efforts to cross the chasms are considered.

• Journal of Korean Neurosurgical Society
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• v.64 no.4
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• pp.495-504
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• 2021

Three-dimensional printing (3DP) applications possess substantial versatility within surgical applications, such as complex reconstructive surgeries and for the use of surgical resection guides. The capability of constructing an implant from a series of radiographic images to provide personalized anatomical fit is what makes 3D printed implants most appealing to surgeons. Our objective is to describe the process of integration of 3DP implants into the operating room for spinal surgery, summarize the outcomes of using 3DP implants in spinal surgery, and discuss the limitations and safety concerns during pre-operative consideration. 3DP allows for customized, light weight, and geometrically complex functional implants in spinal surgery in cases of decompression, tumor, and fusion. However, there are limitations such as the cost of the technology which is prohibitive to many hospitals. The novelty of this approach implies that the quantity of longitudinal studies is limited and our understanding of how the human body responds long term to these implants is still unclear. Although it has given surgeons the ability to improve outcomes, surgical strategies, and patient recovery, there is a need for prospective studies to follow the safety and efficacy of the usage of 3D printed implants in spine surgery.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.187-203
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• 2022

As the economic, social, and environmental problems of the local community reach a serious level, our society is realizing the need to foster young talents who discover opportunities in local issues through entrepreneurship education and create social values through creative challenges. However, entrepreneurship education programs are generally focused on commerciality, so customized education programs to solve regional problems are insufficient. Therefore, this study aimed to develop a community problem-solving entrepreneurship curriculum. In this study, a competency based curriculum model was applied to develop the curriculum, and regional problem-solving entrepreneurship competencies were derived through expert advice from a total of 10 people. In the process, the Delphi methodology was additionally used to reduce the possibility of errors in the competency model. As a result of the study, a total of 23 regional problem-solving entrepreneurship competencies were confirmed, and knowledge(K) - skill(S) - attitude(A) by competency consisted of 5, 9, and 9, respectively. By applying this to Dunham's problem-solving six-step model, modular learning support measures were developed in the order of phase 1(problem discovery), phase 2(problem analysis), phase 3(plan), phase 4(measure), and phase 5(evaluation). This study is meaningful in that it integrated theory and practice by developing specific entrepreneurship curriculum and learning support measures based on the theoretical model devised in social welfare. In addition, it has implications in that it developed a regional problem-solving entrepreneurship competency model based on expert advice and proposed a specific curriculum based on this.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.255-265
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• 2013

The purpose of this study was to identify the variation factors of hypertension medication rate between regions and to use them as a basic data for establishment of hypertension management business plan which is customized by region. The data were collected from community health survey, National Statistics Office and National Health Insurance Corporation, and were analyzed using the geographically weighted regression. As the result of analysis, the factors that influenced the hypertension medication rate between regions were subjective recognition rate of health level, the rate of medical aid client and the number of health facility per one hundred thousand of population. According to the geographically weighted regression, the total of 230 regional regression models composed of major variables which affected the hypertension medication rate were calculated. However, this study has several limitations that the explanatory power of model is not high and others. Therefore, a follow-up study which is based on the actual data of compliance with hypertension medication will be necessary.

• Journal of the Korean association of regional geographers
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• v.21 no.1
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• pp.21-38
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• 2015

This study attempts to estimate the complementarity between 21 cities in the Korean Southeastern Region using data on the network time distance and the volume of flow between the cities. Four types of flows recognized are people, commodities, information and finance. The first two types of flows are thought to be made on the transportation network while the last two are on the communication network. For the purpose of the study, the expected volumes of flows between cities are first estimated using the gravity-based regression and doubly-constrained entropy maximization models. These baseline volumes are then subtracted from the observed volumes of flows (of people and commodities) or the estimated volumes of flows (of information and finance) in order to identify positive differences or complementarities. The result shows that these four types of complementarity flows form distinctive urban networks in terms of spatial pattern and urban hierarchy. This suggests that more customized strategies to different types of complementarity are recommended to properly address the issues related to network infrastructure provision in the pursuit of the network city model in the region.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.559-569
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• 2016

This study examined flow between regions based on the spatial structure of the territory and characterized the flow patterns by analyzing regional networks via transportation connectivity. To accomplish this, transportation connectivity of the entire nation was examined using 2010 national express bus OD data from the Korea Transport Database. After the initial analysis, 2010 car OD data describing networks in seven regions (125 cities and districts), Gangwon-do, Gyeongsangnam-do, Gyeongsangbuk-do, Jeollanam-do, Jeollabuk-do, Chungcheong-do and Seoul, were analyzed to identify transportation connectivity. The results revealed that Korea has strong triangular-belt-shaped transportation connectivity that connects among metropolitan areas in the Jeolla and Gyeongsang areas. Particular zones are set by regional characteristics and functional connectivity for each zone. The results of this study will be useful as a basic material to establish development strategies and customized regional policy development, as well as balanced development.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.823-835
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• 2021

Identification of factors influencing regional population is critical for establishing government's population policies as well as for improving residents' social, economic and cultural well-being in the region. In this study we analysed the data from 2019 Population Housing Survey in Korea to identify the factors affecting the population size in each of the three regions: Seoul, metropolitan cities, and provincial regions. We applied a Bayesian quantile regression to account for asymmetry and heteroscedasticity of data. The analysis results showed that the effects of factors vary greatly between the three regions of Seoul, metropolitan cities, and provincial regions as well as between sub regions within the same region. These results suggest that population-related variables have very heterogeneous characteristics from region to region and therefore it is important to establish customized population policies that suit regional characteristics rather than uniform population policies that apply to every region.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.2
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• pp.73-95
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• 2023

The purpose of this study is to analyze the industrial structural changes and types of specialized in the shipbuilding cities, which are representative sectors of industrial city decline, and explore regional responses. Most cities designated as special areas for industrial crisis response in 2018 are specialized in shipbuilding. While the shift from prosperity to recession since the 2010s is the main factor, each city has responded differently to the industrial crisis. The analysis, targeting seven shipbuilding cities, shows that regions where large shipyards of major corporations with high industrial competitiveness are located have relatively less decline during business fluctuations, and there is a tendency for a decrease in industrial structural diversity during prosperous periods and an increase during recessionary periods. Based on the resistance and recoverability to industrial crises, the industrial paths of shipbuilding cities are classified into four types. Considering regional industrial structure and competitiveness, it is necessary to develop customized support strategies such as maintaining and declining shipbuilding industries and fostering new alternative industries.