• Asian Pacific Journal of Cancer Prevention
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• v.17 no.1
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• pp.353-356
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• 2016

Background: This study used receiver operating characteristic curve to analyze Surveillance, Epidemiology and End Results (SEER) for glassy cell carcinoma data to identify predictive models and potential disparities in outcome. Materials and Methods: This study analyzed socio-economic, staging and treatment factors. For risk modeling, each factor was fitted by a generalized linear model to predict the cause specific survival. Area under the receiver operating characteristic curves (ROCs) were computed. Similar strata were combined to construct the most parsimonious models. A random sampling algorithm was used to estimate modeling errors. Risk of glassy cell carcinoma death was computed for the predictors for comparison. Results: There were 79 patients included in this study. The mean follow up time (S.D.) was 37 (32.8) months. Female patients outnumbered males 4:1. The mean (S.D.) age was 54.4 (19.8) years. SEER stage was the most predictive factor of outcome (ROC area of 0.69). The risks of cause specific death were, respectively, 9.4% for localized, 16.7% for regional, 35% for the un-staged/others category, and 60% for distant disease. After optimization, separation between the regional and unstaged/others category was removed with a higher ROC area of 0.72. Several socio-economic factors had small but measurable effects on outcome. Radiotherapy had not been used in 90% of patients with regional disease. Conclusions: Optimized SEER stage was predictive and useful in treatment selection. Underuse of radiotherapy may have contributed to poor outcome.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.41-50
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• 2024

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.221-229
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• 2024

As the level of economic development increases, interest in human capital is also increasing. This paper estimates and compares innovative human capital by region for 31 regions in China between 2002 and 2019. The innovative human capital in this paper consists of education-type human capital, thesis-type human capital, and patent-type human capital. In particular, unlike previous studies, this study assumes that the weight of patent-type human capital and paper-type human capital is higher than that of education-type human capital. This is because patents and thesis will have a relatively greater impact on a region's innovation capacity than simple education background. The analysis results of this paper can be summarized in three points. First, China's regional innovative human capital shows regional disparities. Second, innovative human capital by region is changing dynamically. Third, regional concentration is accelerating, especially in Beijing, Shanghai, Guangdong, and Jiangsu. Therefore, the results of this paper emphasize the importance of the role of innovative human capital in regional economic development.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.2
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• pp.330-342
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• 2016

The aim of this article is to explore some issues on the uneven regional development in the Republic of Korea. Along with this, case studies on the United Kingdom and Italy are conducted in terms of their wealth, inequality and regional development. In the period of 1995~2003, the UK experienced the intensified uneven regional development and continuous increase of its index due in the main to the delayed revitalization of industrial decline regions, neo-liberalistic local labour market and industrial policies, and institutional instability of regional policies. In the case of Italy, it seemed to experience relatively stable regional convergence. However, this was caused by the continuous decline of major metropolitan areas such as large cities, Milan, Turin, Genoa, to name but a few. The Republic of Korea experienced 'economic growth with spatial and social disparities.' Since 2003 the uneven regional development has intensified. Towards regional convergence, new engines of regional development, the investment in the specialization of small and medium cities, and supportive policies for industrial restructuring regions are required.

• Journal of Distribution Science
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• v.20 no.11
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• pp.19-31
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• 2022

Purpose: This research aims to analyze the educational potential and students' satisfaction with the quality of education services distribution in Kazakhstani universities. The conceptual review shows that very few studies on regional development have been able to determine the level of satisfaction with the quality of educational services depending on the university's location. Research design, data, and methodology: The research methodology is divided into two approaches descriptive analysis and qualitative data analysis. The current educational situation and the distribution of educational services in the largest Kazakh universities were studied based on the proposed approaches' use. Statistical data are taken for indicators of educational potential for 2010-2020 from the Bureau of National Statistics. The primary data were collected based on a survey for 2021-2022 in five regions of Kazakhstan. Results: The results showed that there is a gender gap between men and women and regional disparities between the regions of Kazakhstan in the coverage of higher education. The results of the sociological survey revealed that the quality of educational services depends on the territorial location of the university. Conclusions: Based on the results of the assessment of educational potential and educational services, policy recommendations and further research in this area were proposed.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.86-97
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• 2014

Incheon Free Economic Zone is the first free economic zone specified in 2003 in Korea. Previous research on the Free Economic Zone has focused on the activation of the free economic zone or foreign investment issue at the level of the national economic plan. Related to the development of a free economic zone, studies are currently insufficient on the relevance of the local economy, the development of linkages with hinterland, and the balanced regional development. Therefore, this study tried to investigate the impact of Incheon Free Economic Zone to the local economy through analyzing the causes and characteristics of the imbalance between the regions in Incheon by comparing before (1996~2002) and after (2003~2009) of the Incheon Free Economic Zone legislation (2003). The result shows that development of the free economic zone has not been connected to the local economy activation and the ripple effect on the old town in Incheon. Further, the construction of a large apartment and infrastructure in the free economic zones have increased the disparity between the free zones and the old town.

• Health Policy and Management
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• v.31 no.4
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• pp.491-507
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• 2021

Background: This study aims to measure regional healthcare differences in Korea, and define relatively underserved areas. Methods: We employed position value for relative comparison index (PARC) to measure the healthcare status of 250 areas using 137 indicators in five following domains: healthcare demand, supply, accessibility, service utilization, and outcome. We performed a sensitivity analysis using t-SNE (t-distributed stochastic neighboring embedding). Results: Based on PARC values, 83 areas were defined as relatively underserved areas, 49 of which were categorized as moderate and 34 as severe. The provincial regions with the most underserved areas were Gyeongbuk (16 areas), Gangwon (13), Jeonnam (13), and Gyeongnam (12). Conclusion: This study suggests a relative comparison approach to define relatively underserved areas in healthcare. Further studies incorporating various perspectives and methods are required for policy implications.

• Journal of the Korean Geographical Society
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• v.35 no.1
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• pp.77-93
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• 2000

본 연구는 북한의 지역격차를 분석하고, 상대적으로 낙후된 지역에 대한 개발전략으로서, 북한의 경제발전을 위해 확대.설치가 불가피한 경제특구와 연계하여 지역균형개발전략을 모색해 보았다. 북한의 지역간 인구성장 분석에 의하면, 북한은 지역균형개발정책에도 불구하고, 종주도시 평양과 여타 지역간에 극심한 지역격차를 보이고 있다. 따라서 앞으로 경제특구는 낙후된 지역 즉, 평양을 제외한 여타 지역에 고르게 입지하는 전략이 요구된다는 점을 가조하였다. 그리고 경제특구는 북한의 보유자원 관점에서 노동집약적인 가공공업형 경제특구와 관광형 경제특구로 나누어 추진되는 것이 바람직하며, 입지 후보지로는 신의주.남포.해주.청진.김책.함흥.원산 등의 지구는 가공공업형 경제특구로, 금강산.백두산.묘향산 등의 지구는 관광형 경제특구로 적합하다고 제안하였다.

• Journal of Korean Society of Rural Planning
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• v.17 no.1
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• pp.29-42
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• 2011

The Purpose of this study is to develop indicators for low carbon planning in rural village. We made two indicators for inland area and waterside area to consider regional disparities. To develop indicators, a draft of the indicators was estimated with collected research materials and 52 experts reviewed this draft three times with Modified Delphi Technique to check the validity and revise the draft. As a result, the inland indicators were settled with 4 domains 8 items 20 indicators and the waterside indicators were 4 domains 8 items 22 indicators. The final indicators will be used to realize low carbon rural village planning in future which the government is pushing forward with construction of six-hundred low carbon green village.

• Journal of Korean Society of Rural Planning
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• v.19 no.1
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• pp.109-122
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• 2013

The rapid rural urban migration and aging has generated an over-depopulation problems in rural areas since the 1980s. The purpose of this study constructs the marginal size of rural over-depopulated village through the analysis of the residential disparities such as farmer's ratio, basic life service accessibility, and levels of social and economic factors for each village community. This marginal scale could support evaluating diverse rural policies, which have been planned to apply to the rural development programs at the village level. The major challenges for over-depopulated villages are the lack of basic facilities, production infrastructures and inactive communities in the village. Therefore, the quantitative analysis of rural residential disparities according to rural village scale can provide the criteria for rural over-depopulated villages. We utilized Korea Agricultural Survey Data(2010) including specific residential condition of village level. The present study adopt multinomial-logit model for quantitative analysis of different village scales and decomposition techniques to separate the direct effect by the village scale factor from the endowment effects by regional or area characteristics, and residual effect by unknown factors. The present study found that the minimum scale of a rural over-depopulated village was 40 and 60 houses for the respective conditions of farmer's ratios less than 50% and greater than 75%. It was concluded based on the study findings that threshold scale could support evaluating the diverse rural policies, which have been planned to apply to the rural development programs at the village level.