• 지식경영연구
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• 제21권1호
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• pp.41-59
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• 2020

This explorative study examines the difference in firm performance according to the adoption of the core technology of the Fourth industrial revolution, including artificial intelligence(AI), internet of things (IoT), cloud computing, and big data technology. Additionally, we investigate the importance of internal organizational structure exclusively responsible for information security. We analyze unique microdata offered by the Korea Information Society Development Institute to examine the impact of the adoption of the new technologies and the existence of organizational structure for information protection on firm performance, i.e., firm sales. By considering the core information technology as powerful knowledge assets, we argue that the adoption of such technology leads firms to have comparative advantage comparing to the competitors. Also, we emphasize the need to consider the organizational structure suitable for information security, which can become a structural asset of a firm.

• 응용통계연구
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• 제25권2호
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• pp.331-339
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• 2012

Statistical matching is a methodology used to merge microdata from two (or more) files into a single matched file, the variants of which have been extensively studied. Among existing studies, we focused on Moriarity and Scheuren's (2001) method, which is a representative method of statistical matching for continuous data. We examined this method and proposed a revision to it by using a robust approach in the regression step of the procedure. We evaluated the efficiency of our revised method through simulation studies using both simulated and real data, which showed that the proposed method has distinct advantages over existing alternatives.

• 지역연구
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• 제34권3호
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• pp.55-68
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• 2018

본 연구는 대구혁신도시 사례를 중심으로 신시가지형 혁신도시개발에 따른 대도시 인구분포 변화를 분석하는데 목적을 두었다. 이를 위해 2007~2016년 통계청 인구동향조사와 국내인구이동통계 마이크로데이터를 활용하여 대구광역시 및 주변 시군의 인구변화를 자연적 증가와 사회적 증가(인구이동)로 분해하여 동태적으로 분석하였다. 분석 결과, 대구광역시의 인구는 지속적인 감소경향을 보이는 반면, 도시외곽 혁신도시개발지가 위치한 동구는 해당지역으로의 인구유입에 따라 인구성장을 경험하고 있었다. 특히 2014년 이후 동구로의 높은 순 인구이동의 발생은 대구혁신도시 개발의 준공과 공공기관 이전 시기와 일치하는 패턴을 보여주었다. 2007~2016년 사이 동구로 이동 인구의 전출지역을 분석한 결과 수도권으로부터 유입은 전체의 6.9%인 반면 동구 내부이동(34.5%)과 더불어 대구 내 7개 구군(35.8%)과 주변 4개 시군(8.2%)에서 유입된 인구가 큰 비중을 차지하였다. 특히 대구혁신도시가 위치한 동구로의 전입인구는 동구 인접지역인 수성구, 북구, 경산시로부터 유입인구가 많은 것으로 나타나 시가지형 혁신도시개발은 도시의 외연적 확산을 심화시키고 있음을 확인하였다.

• 한국인구학
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• 제25권2호
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• pp.163-192
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• 2002

주거밀도는 개인 및 가구의 주거수준을 보여주는 중요한 질적 주거복지 지표다. 이러한 측면에서 주거밀도는 이민자들이 현지 사회로 동화 되어가는 정도를 간접적으로 보여준다. 본 연구에서는 1980년과 1990년의 PUMS(Public Use Microdata Sample)를 사용하여 미국 내의 주요 아시아 세 인종집단(한국인, 중국인, 일본인)의 과밀여부와 추이를 분석하고 있다. 본 연구에서는 1980년과 1990년 주거밀도의 나이효과와 이민효과를 분리하기 위하여 이중생잔모형(Double Cohort Method)을 사용하여 이민자들의 생애주기와 경제적 수준 변화에 따른 10년 동안의 주거밀도 변화추이를 밝혔다. 분석결과는 이민기간이 이민자들의 주거복지 수준에 가장 큰 영향을 끼치는 것으로 나타났다. 이민기간이 10-20년인 1970년대 이민자는 1970년 이전 이민자보다 과밀가구에 살 확률이 높았고 1970년 이전 이민자는 미국출생자보다 높아 현지사회의 거주기간이 중요한 요인임을 알 수 있다 한국인은 이민초기에는 과밀가구에 살 확률이 크지만 거주기간이 증가하면서 그 확률이 급격히 감소하였다. 소득수준이 높을수록, 남자에 비해 여자가 과밀가구에 살 확률이 낮게 나타났다. 과밀가구에 살 확률이 높은 경우는 자가가구에 비해 차가가구, 미국출생자에 비해 1970년대 이민자, 그리고 15-24세 집단에 비해 35-44세 집단과 45-54세 집단이었다. 주거밀도라는 측면에서 분석한 미국내 한국인의 주거복지 변천 과정은 중국인과는 비슷한 수준의 변화론 경험하고 있지만 일본인보다는 낮은 수준의 상향 이동을 경험하고 있었다. 이것은 이민 당시의 국력수준의 차이에 따른 개인의 재산축적 정도, 현지 사회에서 사용 가능한 인적자원의 차이, 그리고 미국사회 동화에 대한 문화적 차이 등이 복합적으로 작용하고 있는 것으로 판단된다.

• 한국지리정보학회지
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• 제26권4호
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• pp.1-16
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• 2023

2005년에 전국적으로 10개 혁신도시의 위치 선정이 완료되었으며, 2013년부터는 공공기관이 혁신도시로 이전하기 시작하였다. 국토의 균형발전을 위해 시행되었던 정책이니만큼 지역에서 기대도 작지 않았다. 하지만 혁신도시 건설로 이전해 오는 인구는 늘었지만 과연 수도권에서 얼마나 유입되는지, 그리고 국토 공간적으로 어떤 특징이 있는지 분석해 봄으로써 혁신도시가 제대로 그 역할을 하는지를 알아보고, 향후 혁신도시의 정책방향을 재검토해 보고자 한다. 이에 본 연구에서는 통계청의 MDIS(Microdata Integrated Service)를 이용하여 2013년부터 2021년까지 혁신도시에서 인구이동의 공간적 특성을 분석하였다. 총 10개 혁신도시 중 기존 시가지에 건설되어 혁신도시만의 인구 데이터 구축이 어려운 경우를 제외하고 3개 혁신도시만을 대상으로 분석해 보았다. 그 결과 혁신도시 개발 초기에는 수도권으로부터의 인구 유입이 많아 수도권 인구분산과 국토균형 발전에 일부 효과가 있었으나 시간이 지남에 따라 오히려 수도권으로 다시 유출되는 인구가 더 많아지는 현상이 나타나 문제점으로 지적된다. 또한 경북혁신도시와 광주전남혁신도시는 전입사유, 세대주연령, 세대원수 등에서 유사하였지만 경남혁신도시와 다른 특징이 나타났다. 그 이유는 다양하겠으나 현재 상태로는 혁신도시를 통해 '균형있는 국토발전' 목표를 달성하기 한계에 도달했으므로 지역 특성을 고려한 혁신도시 개선 방안 마련이 필요하다. 아울러 최근 논의되고 있는 제2차 공공기관 이전 계획도 이와 같은 문제를 반복하지 않기 위해 보다 신중하게 설계되어야 할 것이다.

• International Journal of Human Ecology
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• 제13권1호
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• pp.129-145
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• 2012

The purpose of this study was to investigate housing cost burden of U.S. households according to current and previous tenure types and explore influences on their housing affordability. The public-use microdata of the 2009 American Housing Survey was analyzed in the following two stages: In the first stage, households were classified into eight groups by combining their current and previous tenure types, year moved into current housing units and mortgage status of current owners and their characteristics were compared. In the second stage, the factors that influenced the housing cost burden by each combined tenure group were explored using multiple regression analyses. The findings are as follows: (1) The mortgage status was more influential than the previous housing experiences of owner households to distinguish one owner household from another. (2) Renter households who had been owners of previous housing units showed significantly different characteristics compared to continuing and new renter households in terms of income, educational attainment, and householder's marital status as well as housing costs and housing cost burdens. (3) To see the multiple regression analysis results, households with different current and previous tenure types were found to have different factors that influenced the housing cost burdens. In addition, household characteristics were found to have significant influences on housing cost burdens as strong as cost-related variables such as annual mortgage payments and rent per square footage.

• International Journal of Human Ecology
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• 제16권2호
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• pp.21-31
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• 2015

This study explored determinants of family support that young renter households received to afford their housing costs. Microdata set of the 2014 Korea Housing Survey was used as secondary data for the study. Total 1,752,899 households headed by persons between 20 and 34 years of age and whose rental type was either Jeon-se or monthly rental with deposit in private rental units were selected as study subjects. For the data analysis, a series of discriminant analysis was conducted using IBM SPSS 21.0. Major findings were as follows. (1) Among the subjects, 28.2% were found to receive financial support from parents or other relatives. (2) To see the discriminant analysis results, a linear combination of seven household and housing characteristics (householder's gender, whether or not the householder worked in the previous week, whether or not the householders have a spouse, tenure type, structure type, location and deposit amount) could explain 44.6% of variance in young renter households' receipt of family support with a prediction accuracy of 77.2%. (3) To summarize the final discriminant model, Jeon-se renter households in location other than Incheon or Gyeonggi Province living in a unit in structure other than multifamily structure headed by younger householders that did not worked previous week or without spouse; with a greater deposit had the maximum tendency to receive family support to pay rental costs.

• 아태비즈니스연구
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• 제11권2호
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• pp.27-43
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• 2020

Purpose - This study explores the impact of the real estate industry on related industries for the perspective of Chinese steel companies. Design/methodology/approach - The impact of housing prices on the 41 listed steel companies' performance was analyzed by using the panel data model. We used two kinds of housing price indexes that are set in the panel data models to estimate the range of the real estate market, driving the performance growth of steel listed companies. Moreover, the net profit of steel companies is used as the dependent variable. To test the stability of the model, ROA used as a dependent variable for the robustness test. Also, to avoid the time trend of housing prices, this paper selects the growth rate of housing prices as the primary research variable. After Fisher-type testings, there is no unit root problem in both independent and dependent variables. Findings - The results indicated that the rise in the housing price has a positive influence on the steel company performance. When the housing price increases by 1%, the net profit of steel enterprises will increase by 5 to 20 million yuan. Research implications or Originality - In this paper, empirical data at the micro-level and panel model are used to quantify China's real estate industry's driving effect on the iron and steel industry, providing evidence from the microdata level. It helps us to understand further the status and role of China's real estate industry in the economic structure.

• 한국병원경영학회지
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• 제27권1호
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• pp.43-57
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• 2022

Background: Avoidable mortality rate has been widely used as an indicator of the quality of health care and the degree of inequality in health levels. The purpose of this study was to identify the factors affecting the avoidable mortality rate in the region. Methods: The data was MDIS(Microdata Integrated Service) Causes of Death Statistics, and the analysis period was from 2010 to 2019. Panel analysis was performed to identify the influencing factors on the avoidable mortality rate. Findings: Result showed that the current smoking rate had a significant positive effects on the avoidable mortality rate of both men and women. And the smoking cessation trial rate, low salt diet rate, weight control trial rate, annual vaccination rate had a significant negative effect. In the social environment, the divorce rate had a significant positive effect. In the economy environment, financial independence and social welfare budget rate had a significant negative effect. In the physical environment, the factory area rate had a significant positive effect. Practical Implication: Practical implication in order to lower the local avoidable mortality rate, various social determinants of health as well as health care resources should be considered together.

• Journal of Korea Trade
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• 제26권6호
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• pp.96-117
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• 2022

Purpose - Considering the recent instability of world economy and its heavy dependence on foreign, Korea must formulate breakthrough approaches to proactively cope with these adverse global developments. As such, this study aims to ascertain how participation in global value chains (GVCs) relates to corporate productivity and derive policy implications. Design/methodology - This study utilizes the microdata of Korean manufacturers to develop indicators of GVC participation at the enterprise level and analyzes the effects of GVC participation on the firm's total factor productivity by using fixed effect model. Findings - Enterprises with highest rates of export-side GVC participation see their productivity grow as their export-side GVC participation rates increase. In addition, when companies are classified by their export-side GVC participation rates, increasing export values improves all firm's productivity. In particular, those with low participation rates are analyzed to achieve higher productivity by increasing their imports, not only exports, which implies that companies with lower export-side GVC participation can boost productivity by reinforcing their export and import activities. Originality/value - This research paper distinguishes itself from others in that it makes a novel attempt to design the indicators of GVC participation at the enterprise level, not at the national or industry level. In addition, this study contributes to the existing literature by dividing companies into subgroups depending on their GVC participation rates for each of export and import and identifying variances in the effect of GVC participation on productivity growth among subgroups.