• 지역연구
• /
• 제32권4호
• /
• pp.3-18
• /
• 2016

본 연구는 지역 R&D 성과평가를 위한 방법론으로서 비교그룹 간 분석을 적용하여 실증분석하고 있다. 분석방법론으로 기업 간 분석(between-group analysis)을 제시하고 있으며 핵심 아이디어는 두 가지 측면에서 설명될 수 있다. 첫째, R&D 사업의 효과분석을 위해서는 기간별 성과를 비교하며 분석하는 것이 당해 연도 성과만을 분석하며 비교하는 것보다 타당하다는 점이다. 둘째, 정부의 R&D 투자가 이루어지지 않은 비교집단을 선정하여 제3의 변수들의 효과를 통제한다는 점이다. 분석 결과 기업 간 분석이 의미 있게 나타났으며, 이는 수혜 기업의 성과만을 가지고 전후 비교하는 것보다 수혜를 받지 않는 대조군과의 전후 비교 평가를 통해 더 합리적이고 객관적인 성과평가를 달성할 수 있음을 시사한다.

• Journal of Preventive Medicine and Public Health
• /
• 제47권3호
• /
• pp.158-168
• /
• 2014

Objectives: To identify and evaluate the trend of meal-skipping rates among Korean adolescents with their contributing causes and the influence of household income level on meal skipping. Methods: Using 2008, 2010, and 2012 data from the Korea Youth Risk Behavior Web-based Survey of 222 662 students, a cross-sectional study with subgroup analysis was performed. We calculated odds ratios for skipping each meal 5 or more times in a week by household socio-economic status using a multiple logistic regression model. The secular change in the meal-skipping rates by the students' family affluence scale was analyzed by comparing the meal-skipping students within each subgroup and odds ratios for the same event over time. Results: Through 2008 to 2012, most of the meal-skipping rates generally showed a continuous increase or were almost unchanged in both sexes, except for breakfast skipping in several subgroups. Students in low-income households not living with both parents had the highest meal-skipping rates and odds ratios for frequent meal skipping. In a time-series subgroup analysis, the overall odds ratios for the same event increased during 2008 to 2012, with a slight reduction in the gap between low and higher income levels with regard to meal skipping during 2010 to 2012. Conclusions: Household socio-economic status and several other factors had a significant influence on Korean adolescent meal-skipping rates. Although the gap in eating behavior associated with household socio-economic differences is currently decreasing, further study and appropriate interventions are needed.

• 한국사회복지학
• /
• 제45권
• /
• pp.7-39
• /
• 2001

This paper examines the effect of active labor market policy on the unemployment rates in 8 welfare states. This paper focuses on the following questions: what are the major predictors of the changes in unemployment rates?; and what is the effect of active labor market policy in reducing unemployment rates? Using the data from Comparative Welfare States Data Set by Stephens (1997), Key Indicators of the Labour Market by ILO (1999) and Social Expenditure Database by OECD (1999), this paper attempts to answer the above research questions. Fuller-Battese model, a data analysis method in pooled cross-sectional time-series analysis, is adopted to identify variables predicting changes in unemployment rates. This paper analyzes the predictors by using 3 analysis models about 2 types of unemployment (overall unemployment and long term unemployment). Results are as follows: (1) economic variable such as changes in GDP has a positive effect in reducing unemployment rates; (2) active labor market policy has a positive effect in reducing unemployment rates as well; (3) job brokering service among 3 major active labor market programs has a positive effect in reducing unemployment rates; and (4) there is an interaction effect between unemployment benefit level and active labor market policy in reducing unemployment rates. Through the empirical analysis, this paper provides valuable knowledge about effects of active labor market policy on unemployment in 8 welfare states and discusses implications for the active labor market policy in Korea.

• 무역학회지
• /
• 제46권1호
• /
• pp.1-21
• /
• 2021

The main purpose of this research is to analyze the changes in investment motivation by year through time series and cross-sectional analysis of the factors and investment decisions of Korean manufacturing companies. According to the investment pattern for Asean from the 1980s to the 19th, the first expansion period was 82 to 86, the average increase in overseas investment for securing foreign raw materials due to the second oil shock, and the second expansion period was a gradual increase in exports to the U.S. in 1987 to 1996. During the first stagnation period, direct investment in Asean stagnated in the aftermath of the 1998-05 Asian crisis, and in the third expansion period, part of the production facilities invested in China were relocated to Asean, increasing Asean's investment to become Korea's largest manufacturing investment in 17. Korea's proportion of investment in Asean surpassed that of mass investment since 10 years ago, and the proportion of investment in manufacturing sector has been transferred from China to Asean, and after 17 years, it has served as an overseas production base connecting China. As such, The main purpose of the research will be to extract the determinant factors and key factors for overseas direct investment and investment patterns in conjunction with global manufacturing companies' production base relocation and investment trends through empirical analysis. This research paper gave basic reference to the motivation and determinant of investment 16 years ago, and analyzed the changes in investment motivation by year and content through empirical analysis, contributing some reasonable purpose to the decision of companies and policy makers interested in overseas direct investment.

• 한국병원경영학회지
• /
• 제11권3호
• /
• pp.19-41
• /
• 2006

The Objective of this study was to design the model which predict the future cash flow of hospitals and on the basis of designed model to support sound hospital management by the prediction of future cash flow. The five cash flow measurement variables discussed in financial accrual part were used as variables and these variables were defined as NI, NIDPR, CFO, CFAI, CC. To measure the cash flow B/S related variables, P/L related variables and financial ratio related variables were utilized in this study. To measure cash flow models were designed and to estimate the prediction ability of five cash flow models, the martingale model and the market model were utilized. To estimate relative prediction outcome of cash flow prediction model and simple market model, MAE and MER were used to compare and analyze relative prediction ability of the cash flow model and the market model and to prove superiority of the model of the cash flow prediction model, 32 Regional Public Hospital's cross-section data and 4 year time series data were combined and pooled cross-sectional time series regression model was used for GLS-analysis. To analyze this data, Firstly, each cash flow prediction model, martingale model and market model were made and MAE and MER were estimated. Secondly difference-test was conducted to find the difference between MAE and MER of cash flow prediction model. Thirdly after ranking by size the prediction of cash flow model, martingale model and market model, Friedman-test was evaluated to find prediction ability. The results of this study were as follows: when t-test was conducted to find prediction ability among each model, the error of prediction of cash flow model was smaller than that of martingale and market model, and the difference of prediction error cash flow was significant, so cash flow model was analyzed as excellent compare with other models. This research results can be considered conductive in that present the suitable prediction model of future cash flow to the hospital. This research can provide valuable information in policy-making of hospital's policy decision. This research provide effects as follows; (1) the research is useful to estimate the benefit of hospital, solvency and capital supply ability for substitution of fixed equipment. (2) the research is useful to estimate hospital's liqudity, solvency and financial ability. (3) the research is useful to estimate evaluation ability in hospital management. Furthermore, the research should be continued by sampling all hospitals and constructed advanced cash flow model in dimension, established type and continued by studying unified model which is related each cash flow model.

• 한국인구학
• /
• 제35권1호
• /
• pp.77-99
• /
• 2012

본 연구는 사회 환경과 정책 등의 변화에 따라 출산율을 예측할 수 있는 모형을 개발하고자 하였다. 기존의 인구 추계 시 적용하는 출산율은 최근의 추세가 유지되거나 일률적으로 감소 또는 증가할 것이라는 가정 하에서 제시되므로 저출산 고령사회정책 등에 반영하는데 한계가 있기 때문이다. 본 연구의 출산율 예측모형은 OECD 10개 국가들의 종단면적 및 횡단면적 경험치를 동시에 적용한 패널분석(panel analysis)을 통하여 구축하였다. 모형에는 인구학적 요인으로 조혼인율, 초산연령, 영아사망률, 혼외출산비율, 경제적 요인으로 여성경제활동참가율, 일인당 국민소득, 사회문화적 요인으로 남성대비 여성대학진학 비율, 양성평등지수, 그리고 정책적 요인으로 GDP대비 보건정책 지출비율, GDP대비 가족정책 지출비율의 독립변수들이 포함되었다. 본 연구에서 개발한 모형을 적용하여 한국의 최근 년도 출산율을 예측한 결과 실제 출산율과 아주 미세한 차이만 존재하여 상당히 적합한 것으로 평가되었다. 이러한 출산율 예측모형을 이용하여 인구학적 요인, 경제적 정책적 요인 및 사회문화적 요인 중 일부의 변화를 가정할 경우 한국의 출산율이 어떻게 변화할 것인가에 대한 시뮬레이션을 실시하였다. 일례로 GDP 대비 가족지출비율을 현 프랑스 수준까지 높였을 경우 합계출산율은 1.6 수준으로 높아질 것으로 추정되었다. 이와 같은 출산율 예측모형은 정책의 강화 시기 및 정도를 결정하는데 유용할 것으로 판단된다.

• 한국콘텐츠학회논문지
• /
• 제16권3호
• /
• pp.366-375
• /
• 2016

본 연구는 34개 OECD 국가 중에서 자료의 가용성에 따라 24개국을 대상으로 모의변수를 설정한 고정효과모형에 의한 패널분석을 수행하여 외국인 근로자의 국내 소득증대 효과를 분석하였다. 즉, 패널자료를 활용한 단순 및 다중회귀분석을 통해 총고용률, 자국인 고용률 및 외국인 고용률이 소득지표인 국내총생산과 일인당 국민소득에 미치는 영향을 분석하였다. 분석결과에 의하면 외국인 고용률이 내국인 고용률에 비해 소득증대에 기여하는 정도가 현저하게 낮은 것으로 나타났고, 외국인 고용률이 자국인 고용률을 대체하는 것으로 분석되었다. 그리고 노동이 국가의 소득수준을 결정하는데 있어서 영향력이 크다는 것도 입증되었다. 따라서 외국인 근로자의 유입으로 인해 노동생산성이 하향 조정되거나 노동시장이 분절화 되는 것을 방지할 수 있는 정책적 대안이 필요할 것이다. 즉, 노동정책 당국은 외국인 근로자의 양적인 확대뿐만 아니라 질적인 확대를 유도할 수 있는 방향으로 노동시장을 개방해야 할 것이다.

• 한국사회복지학
• /
• 제42권
• /
• pp.7-40
• /
• 2000

This paper examines the changes $(1982{\sim}1992)$ of social welfare expenditures of 12 welfare states. This paper focuses on two questions. First, to what extent have there been changes in social welfare expenditure (total social welfare expenditures, income support expenditures, social service expenditures) of 12 welfare states? Second, what are the causes of the changes in social welfare expenditures? Using Comparative Welfare States Data Set by Stephens(1997) and Social Expenditure Database by OECD (1999), this paper attempts to answer two questions. Fuller-Battese model, a data analysis method in pooled cross-sectional time-series analysis, is adopted to identify variables predicting social welfare expenditure changes. This paper analyzes the predictors separately according to the types of welfare states by Esping-Andersen (1990). Predictors are different by the types of welfare states; thus, economic variables such as GDP and financial deficiency have effects on social welfare expenditures of Liberal and Corporatist welfare states. while they have no effects in Social Democratic welfare states. Political variables has effects on social welfare expenditures of Corporatist welfare states, not of Liberal and Social Democratic welfare states. Demographic variables has effects on social welfare expenditures of Social Democratic welfare states rather than Liberal and Corporatist welfare states. This paper provides an additional knowledge about social welfare expenditure changes of 12 welfare states and discusses implications for the development of welfare state in Korea.

• 한국전문물리치료학회지
• /
• 제24권4호
• /
• pp.38-45
• /
• 2017

Background: To improve muscle flexibility, static stretch is the most common type and is considered safe and effective for improving overall flexibility of muscles. During the stretch, the intensity is more likely to be determined by the degree of an athlete's pain and practitioner's skills rather than quantitative measures of stretch. It is necessary to determine the optimal intensity for the stretch. Objects: The purpose of this study is to explore the relationship between hand held dynamometer (HHD) and verbal rating scale (VRS) in comparison of the effects of continuance time on active (walking) and inactive (sitting) movement after static stretch. Methods: A cross-sectional study was conducted with a sample (n=62) recruited from a university. Participants were randomly assigned to 2 different groups (n=31 for each group) based on participants' positions either remaining in sitting or freely walking around for a series of re-assessments. Data was collected at pre-warm up, pre-stretch, post-stretch, and additional assessments at the time of 3, 6, 9, 12, 15, 20 and 30 minutes after the stretch. Results: Relationship between VRS and HHD scores represents very weak correlation (Spearman's p=-.16, p>.05). Pearson's correlation analysis was conducted following the logarithmic transformation of the two scores. Pearson's correlation after the transformation still showed a very low relationship and a poor linear relationship between the two scores (Pearson's r=-.18, p>.05). Conclusion: The optimal intensity for stretch cannot be solely determined by the subjective pain perception. The objective measurement such as HHD could be used in conjunction with the pain perception.

• 자원ㆍ환경경제연구
• /
• 제26권2호
• /
• pp.173-203
• /
• 2017

본 연구는 2000~2013년까지 14년간 서울, 부산, 대구, 인천 4개 대도시에 대한 총 주행거리, 도로연장길이, 대중교통 이용객수, 지역내총생산, 지역인구, 석유류 소비량에 대한 횡단시계열자료를 활용하여 도로연장에 대한 반등효과가 우리나라에도 적용되는지를 실증분석하였다. 혼합효과모형으로 추정한 결과 도로연장은 총 주행거리와 동반상승관계에 있는 반면, 대중교통 이용량은 총 주행거리와 역관계에 있는 것으로 나타났다. 이는 도로연장을 중심으로 하는 공급관리형 교통정책이 도시 광역화로 자가운전의 편의성을 직접적으로 증진시키거나, "걷기 힘든" 환경조성을 통해 자가운전 외 교통수단 이용의 편의성을 절감시킴으로써 추가적인 도로이용을 유인함을 뜻한다. 즉, 교통혼잡 및 정체 개선을 위해서는 현재의 도로연장 중심의 정책보다는 대중교통의 편의성 증진을 골자로 하는 교통수요관리 정책에 맞추어야 함을 시사한다.