• International Area Studies Review
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• v.20 no.2
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• pp.175-194
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• 2016

In this study, we aimed to identify the impact of socioeconomic characteristics on the health status of Chinese, which suggests that there might be the phenomena of health inequality in China. We used the year 2000, 2004 and 2009 pooled cross-sectional data of China Health and Nutrition Survey (CHNS), and utilized the Ordinary Least Square model (OLS) and Ordered Logit Estimation Method for this purpose. Empirical results showed that socioeconomic status and year dummy variables have a meaningful impact on Chinese health status. Therefore, we conclude that the phenomenon of health inequality has existed in China since 2000.

• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.29-39
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• 2016

As geopolitical, archaeological and strategic interests on cooperation with countries in the Far Eastern Area is gradually increased, countries are competing to attract or install a logistics or manufacturing hub in their countries. In this study, we investigated the relative importance of factors on the main three and nine detailed criteria from the domestic and overseas experts on Far Eastern Area. Using AHP(Analytic Hierarchy Process) analysis, priority importance of factors was derived. As a result, we find that the most important factor was economic factor. In detail, industrial complex creation was the highest factor and the institutional guarantees for the investment on policy and transportation network was second highest factor. Based on analysis result, specific competitiveness level in the 10 region of Far East was follows. Hunchun, Vladivostok, Yanji, Tumen, Rajin, Hassan, Ussuriysk, Cheongjin, Mihaylov Skiing, Nije Jeuchinski were showed in order. Hunchun showed the highest competitive level in location, topography, compliance to the around cities, transportation network, industrial complex, excellence in logistics facilities, long-term investment plans, institutional guarantees for investment, customs efficiency and political stability. However, in other factors such as population and number of households, public facilities, potential demand and resource utilization, Vladivostok showed the highest level.

• KDI Journal of Economic Policy
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• v.16 no.1
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• pp.93-117
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• 1994

이론적으로, 국가경제에 있어서 인구구조(人口構造)의 변화(變化)는 인적자본(人的資本) 형성 및 노동공급(勞動供給), 각 주체들의 소비(消費) 저축행위(貯蓄行爲) 등의 장기적(長期的) 추세(趨勢)를 결정짓는 중요한 요인으로 인식되어 왔다. 본 논문에서는 우리나라의 연령별(年齡別) 인구구조 변화가 거시경제변수인 가계소비(家計消費), 금리(金利) 및 경상수지(經常收支)에 미치는 영향에 대하여 이론적(理論的)인 모형(模型) 제시(提示)와 함께 실증분석(實證分析)을 시도하였다. 이론적 모형에서는 인구구조 변화와 이러한 거시경제변수들간의 관계를 평생소득가설(平生所得假說)에 의거하여 설정하였으며, 실증분석 결과는 실제로 인구구조 변화의 거시경제적 효과가 통계적(統計的)으로 유의성(有意性)이 매우 높게 나타나고 있음을 보여주고 있다. 그러나 가계소비와 경상수지의 경우, 장년층인구(壯年層人口)의 상대적(相對的) 증가(增加)는 경제전체의 평균소비성향(平均消費性向)을 낮추고 경상수지(經常收支)를 개선(改善)하는 요인인 것으로 분석되어 평생소득가설에 잘 부합하고 있는 반면, 금리(金利)의 경우에는 장년층인구 증가가 금리를 상승(上昇)시키는 요인으로 나타나고 있어 평생소득가설에 상반(相反)되는 모습을 나타내고 있다.

• 한국벤처창업학회:학술대회논문집
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• 2021.04a
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• pp.185-195
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• 2021

본 연구는 북한이탈주민의 경제적 자립과 안정적인 정착을 지원하는 하나의 방안으로서 창업을 촉진하기 위한 지원 정책과 제도 개선 방안을 제시할 목적으로 수행하였다. 정부는 현재 생활밀착형 북한이탈주민 정책 추진 기조하에 북한이탈주민의 삶의 질을 높여주는 방향으로 맞춤형 정책을 추진하고 있다. 다만, 창업지원 프로그램은 여전히 소규모로서 지원 분야를 다양화하고 예산을 증액 하는 한편, 지원 체계도 중앙-지방-민간 간 유기적으로 협업이 효율적으로 이루어지도록 개선이 필요하다. 본 연구는 북한이탈주민의 창업의지 결정요인에 대한 실증적 연구를 목적으로 하며, 북한이탈주민들에게 잔존하는 사회주의 가치체계와 이들의 사회적응성 요인을 기존 연구에서 확인되었던 개인의 성격적 특성, 경제적 지지, 자아성취욕구 요인들과 함께 분석모형에 포함하여 실증 연구를 수행하였다. 이를 위해 하나원에서 교육 중인 18세 이상 북한이탈주민 223명을 대상으로 2019년 10월 설문조사를 통해 자료를 수집하였고, 선형회귀분석과 이분형 로지스틱 모형분석을 이용하여 실증분석을 수행하였다. 2개의 분석 모형에서 일관된 결과가 도출됨에 따라 분석결과의 강건성을 확인하였다. 결과적으로 사회주의 가치체계가 약할수록 창업의지에 긍정적인 영향을 미칠것이라는 가설은 지지되었다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.39-53
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• 2017

The purpose of this study was to investigate the effects of the rural migration factors, degree of preparation for migration, lifestyle conditions and support policies reflected against the family satisfaction of the migration. In this study family factors were used as control variables. Independent variables for this study will consist of the factors of rural migration, the degree of preparation for migration, living conditions of the farmers and the support policies, where as the dependent variable is the satisfaction of migration with an adjusting factor of the family satisfaction which will be further analysed to identify its effects on the dependent variable. For this study, a questionnaire survey was conducted for the residents and 237 valid questionnaires were collected. Multiple regression analysis was performed based on the collected data where demographic attributes being the controlling variable, and regression analysis was performed for the adjusting variable of the family. As the economic factor increases, the level of satisfaction generated to be higher in rural migration. As for the degree of preparation, living condition and support policies resulted, great quantity of green nature, safety and agriculture startup support, respectively, indicated a positive effect to the satisfaction level of migration. From the results, adjustment effect of the family factors on the economic, nature, convenience and satisfaction of the migration have appeared. The conclusion of this study is that policy support, regional stability, and economic gain are the most important factors to increase satisfaction and to reduce re-migration rate to city.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1203-1214
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• 2016

Obesity is a risk factor for various diseases as well as itself a disease and associated with socioeconomic factors. The obesity proportion has been increasing in Korea over about 15 years so that investigation of the socioeconomic factors related with obesity is important in terms of preventation of obesity. In particular, the association between obesity and socioeconomic status varies with gender and has spatial dependency. In the paper, we estimate the effects of socioeconomic factors on obesity proportion by gender, considering the spatial correlation. Here, a conditional autoregressive model under the Bayesian framework is used in order to take into account the spatial dependency. For the real applicaiton, we use the obestiy proportion dataset at 25 districts of Seoul in 2010. We compare the proposed spatial model with a non-spatial model in terms of the goodness-of-fit and prediction measures so the spatial model performs well.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.126-126
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• 2018

최근 우리나라는 기후변화로 인한 이상기후 현상 중 가뭄에 대한 발생빈도가 증가하고 있다. 가뭄은 다른 자연재해에 비해 지속기간이 길고 규모가 광범위하여, 사회 경제적인 피해가 크게 발생한다. 이러한 가뭄에 대비하기 위해서는 지역적으로 적합한 가뭄 대책을 수립해야 하며, 이를 위해서는 가뭄 위험도 평가가 선행되어야 한다. 지역적 가뭄 위험도를 평가하기 위해서는 기상학적 요인뿐만 아니라 사회 경제적인 요인에 의한 영향을 고려하는 가뭄 취약성 평가가 수반되어야 한다. 본 연구에서는 지역별 가뭄 취약성 평가를 수행하기 위해, 지역별 용수 수요 및 공급관련 인자와 선행연구에서 정의된 가뭄 위험인자들 중 8개(생활 농업 공업 용수공급량, 인구밀도, 1인당 가용수자원량, 물 자급률, 취수율, 물 이용 공평성)를 선택하였다. 베이지안 네트워크(Bayesian Network) 기법을 통해 선정된 사회 경제적 요인들과 가뭄과의 상관관계를 분석하여 각 지역의 특성을 고려한 가뭄 위험요인별 확률을 산정하였다. 최종적으로 산정된 주요 가뭄 위험요인별 확률을 우선순위에 따른 가중치를 적용하여 지역별 가뭄 취약성지수(Drought Vulnerability Index, DVI)를 산정하였고, 이를 이용하여 우리나라의 행정구역별로 취약성 평가를 수행하고 지도로 표시하였다. 지역별 가뭄 취약성 평가를 수행한 결과 익산, 상주, 완주 순으로 높게 나타났으며, 계룡, 과천, 종로순으로 가장 낮게 산정되었다. 또한 광역자치단체의 평균 가뭄 취약성지수를 산정한 결과 전라북도 지역이 가장 높게 나타났으며, 대구 및 대전광역시가 가장 낮게 나타났다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.384-394
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• 2019

The purpose of this study is to investigate the relationships between physical factors, economic factors, and cultural factors of tourism gentrification (TG) in urban areas. Based on the results of an empirical analysis, we provide the basic theory and practical implications of the relationship between tourism phenomena and city image. This study used a questionnaire for residents of the Jeju area. From September 1, 2018, to October 3, 2018, the survey was conducted in Nuemori Street, Yeongdong Street, Gucheong Eup, and Moon Town. Thus, we use 479 samples for analysis out of 500 samples obtained. This study produced two important results. First, the physical, economic, and cultural factors of tourism gentrification have significant effects on cognitive image and emotional image. Second, economic factors have statistical significance in cognitive image and emotional image. These results and implications can be useful for practical implications of the theoretical implications of tourism gentrification and regional specialization promotion policies. In addition, from the economic point of view, what should be considered is that development-centered area development can have a negative impact on urban image. Despite these research results, there are limitations in the research, such as cross-sectional studies and short-term studies, and we look forward to a longitudinal study in the future from a long-term perspective.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.150-160
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• 2018

The purpose of this study is to classify the attitudes of Korean people regarding foreign workers and to analyze the influence factors. Analysis of the attitude difference and the influential factors utilized the SPSS ${\chi}^2$ test and multinomial logistic regression analysis using 2016 data obtained from the 'Koreans' Consciousness and Values'. Socio-demographic variables, national identity, and socioeconomic variables were used as explanatory variables. The attitude types (friendly, negative, and dual) of respondents were identified, and the influence of explanatory variables influencing these attitudes was identified. Analysis found they have a relatively generous stance on granting legal rights, while they are negative regarding the economic and social threats from foreign workers. As a result of analyzing the factors affecting attitudes, there are significant differences in each influence. However, negative attitudes and dual attitude concerning with negative legal rights found common to the influence of the factors of national identity. Gender and ratio of foreign workers were influential factors for dual attitudes with a high economic threat. On the other hand, socioeconomic factors reflecting the realistic conflict theory were not found to have any effect. The negative attitude of foreign workers in our society can be regarded as cognitive threats rather than realistic experiences or conflicts.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.189-201
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• 2022

In this study, we propose factor augmentation to improve forecasting power of cryptocurrency return. We consider financial and economic variables as well as psychological aspect for possible factors. To be more specific, financial and economic factors are obtained by applying principal factor analysis. Psychological factor is summarized by news sentiment analysis. We also visualize such factors through impulse response analysis. In the modeling perspective, we consider ARIMAX as the classical model, and random forest and deep learning to accommodate nonlinear features. As a result, we show that factor augmentation reduces prediction error and the GRU performed the best amongst all models considered.