• 국제지역연구
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• 제15권3호
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• pp.285-306
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• 2011

본 연구에서는 지역경제 관점에서 미국의 SCI(State Competitiveness Index)의 사례를 통해 지역경쟁력지표에 대해 살펴보고, 이들 지역경쟁력 지수와 지역성장 특성과 관계를 패널로짓분석을 통해 실증분석을 하였다. 특히 미국의 주를 대상으로 지역성장의 특성을 소득의 정태적 기준과 동태적 기준으로 구분하였다. 이에 대한 분석결과는 다음과 같다. 첫째 미국 주에서 지역경쟁력지수(SCI)가 전국평균이상인 지역이면서 소득의 정태적요인인 1인당 소득수준과 동태적 요인인 성장률이 전국평균 이상인 지역은 Alaska, Connecticut, Maryland, Massachusetts, Virginia, Washington, Wyoming으로 나타나, 이들 지역이 미국 주 중에서 지역경쟁력지수가 높으면서도 번성지역이라고 할 수 있다. 둘째, 지역성장의 소득수준과 지역경쟁력 지수와의 관계에 있어서는 인적자본, 과학기술, 비즈니스 인큐베이션, 개방성, 안정성, 환경정책 등의 변수들이 통계적 유의미했다. 셋째, 지역성장의 소득성장률과 지역경쟁력 지수와의 관계에 있어 인프라, 인적자본, 과학기술과 개방성 등이 통계적으로 유의미한 변수였다. 지식기반경제에 있어 지역소득수준과 성장률에 중요한 지역경쟁력 변수는 인적자본, 과학기술, 개방성이라고 할 수 있어 향후 한국의 지식기반경제에 있어 지역경쟁력을 강화하기 위해서는 지역경제차원에서 이들 지표에 대한 경쟁력 향상을 위한 정책이 중요할 것으로 판단된다.

• 성인간호학회지
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• 제28권3호
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• pp.247-255
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• 2016

Purpose: The purpose of this study was to investigate the influencing factors on Posttraumatic Growth(PTG) in patients with colorectal cancer. Methods: Eighty patients who were diagnosed with colorectal cancer at least twelve months ago were recruited from the oncology outpatient clinic of university hospital in Y city. Participants completed four survey questionnaires: Korean versions of PTG Index, Korean versions of Cancer Coping Questionnaire, Multidimensional Scale of Perceived Social Support, and a Resilience Scale. The data were analyzed by ANOVA, Pearson-correlation coefficient, and multiple regression analysis. Results: The mean score of PTG in these patients was 51.16 indicating relatively high growth. Posttraumatic Growth had significant correlations with coping, social support, and resiliency. In addition to the variables of age and education that are found to be associated with the PTG, the PTG was significantly influenced by resilience, coping, and importance of religion. Forty-nine percent of the variations in the PTG were explained by these three variables. Conclusion: The identified factors influencing colorectal cancer related to PTG could be considered in developing nursing interventions to promote positive psychological changes in response to adversity which colorectal cancer survivors might experience.

• The Journal of Asian Finance, Economics and Business
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• 제3권4호
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• pp.25-37
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• 2016

This study aims to investigate the determinants of dividend payout of Oil and Gas industry of Pakistan using secondary data from published annual reports from 2008 to 2014 listed on KSE (Karachi Stock Exchange). Dividend payout can be affected by profitability, firm size, financial leverage, sales growth, investment opportunities, liquidity, business risk, and ownership structure. Panel data technique used due to panel characteristics of available data with ordinary least square regression model to find out the impact of set of explanatory variables on the dividend payout using the Stata. Financial leverage, sales growth and business risks are the most significant variables of the study where financial leverage and business risk have significant negative effect on dividend payout while sales growth has favorable positive impact on dividend payout. Results revealed significant positive link of profitability and firm size with dividend payout whereas government ownership is negatively associated with dividend payout. Investment opportunities, liquidity and managerial ownership showed insignificant relationship with dividend payout. This Suggests that dividend payout policy is dependent on business strategies including both investment and financing decisions. Financial managers should consider these factors while formulating dividend policy of the firm.

• 대한금속재료학회지
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• 제48권9호
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• pp.791-797
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• 2010

The creep crack growth rate (da/dt) of the Cr-Mo steels tested by pre-crack and the voltage (or resistance) variables were related into fracture parameter (Ct), crack growth coefficient (H), and an exponent (q) in the parts of Base, weld and HAZ. The fracture parameter (Ct) has various variables relating to the specimen and crack shape, applied stress, and creep strain curve. The H and q was inferred by OLS regression (ordinary least square method), and the H values were solved in statistics and probability assessment, which were attained fromPDF's distributions (probability density function). The HAZ part has the highest value of q by OLS regression and the widest distribution of H by PDF of WEIBULL, which means that the crack sensitivity of HAZ should be cautioned against the creep crack growth and failure.

• Journal of Yeungnam Medical Science
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• 제38권1호
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• pp.47-52
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• 2021

Background: Short stature is defined as a height below the 3rd percentile or more than two standard deviations below the mean for a given age, sex, and population. There have been inconsistent results regarding craniofacial morphology in short-statured children. This study aimed to analyze the differences between short-statured children with growth hormone deficiency, idiopathic short-statured children, and normal children. Methods: Thirty-one short-statured children with growth hormone deficiency, 32 idiopathic short-statured children, and 32 healthy children were enrolled in this study. The measurements of their craniofacial structures from lateral cephalograms were evaluated. Results: There were statistically significant differences among the three groups seven variables (anterior cranial base length, posterior cranial base length, total cranial base length, upper posterior facial height, posterior total facial height, mandibular ramus length, and overall mandibular length) in the linear measurement and five variables (saddle angle, gonial angle, mandibular plane angle, position of mandible, and maxilla versus mandible) in the angular measurement. Conclusion: Compared to the control group, many linear and angular measurements of the craniofacial structures were significantly different in the two short-statured groups (p <0.05). Treatment plans by orthodontists should include these craniofacial structure characteristics.

• 대한금속재료학회지
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• 제47권5호
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• pp.283-289
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• 2009

This paper dealt with a statistical analysis for evaluating the creep crack growth rate (CCGR) for Modified 9Cr-1Mo (ASTM Grade 91) steel. The CCGR data was obtained by the creep crack growth (CCG) tests conducted under various applied loads at $600^{\circ}C$. To obtain logically the B and q values used in the CCGR equation, three methods such as the least square fitting method (LSFM), the mean value method (MVM) and the probabilistic distribution method (PDM) were adopted and their CCGR lines were compared, respectively. In addition, a number of random variables were generated by using the Monte Carlo simulation (MCS), and the CCGR lines were predicted probabilistically. It was found that both the B and q coefficients followed a 2-parameter Weibull distribution well. In the case of the ranges of 10-90% for the probability variables, P(B, q), the CCGR lines were predicted. Fractographic study was conducted from the specimen after the CCG tests.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.297-302
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• 2022

The current study examines the relationship between inventory management efficiency and financial performance in Saudi Arabian companies. The study collected data from the companies listed on Tadawul (a Saudi Arabian stock exchange) during the period starting from 2016 and ending in 2020. The study uses pooled regression model by incorporating Return on Assets (ROA) and Inventory Turnover Ratio (ITR) as a performance measurement variable and inventory conversion period as an inventory management variable to report the results. The results show a positive and significant association between inventory management and firms' financial growth measured in terms of Return on Assets (ROA). Further, the study reports a positive and significant association between the inventory conversion period and inventory turnover (ITR). This shows that managing inventory efficiently shall positively impact the firm's performance. The other variables, such as debt ratio and gross profit, are positively related to ROA and negatively correlated with ITR. The firm growth is positively associated with both the dependent variables. The results suggest that the management of inventory in Saudi Arabian firms is efficient. Further, the firm size is positively associated with ROA and ITR. This shows a nexus between inventory management efficiency and firms' financial growth in Saudi Arabian companies.

• 정보화정책
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• 제19권3호
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• pp.64-93
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• 2012

본 연구는 국가 경제발전에 있어 이론적으로 중요시되고 있는 국가 정보화 요소가 실제로(Empirically) 국가경제 발전에 영향을 미치는 지를 통계적 검정을 통해 밝히고자 '수요공급균형모형' 에 따라 IT 공급 변수, IT 수요 변수, IT 정책(투자) 변수로 연구 모형을 구성하였다. 더 나아가 경제적, 사회적으로 강조되고 있는 국가 발전 중요 요인들을 조절 변수로 설정하여 국가정보화 변수의 종속변수에 대한 조절효과의 여부 및 그 의미를 교차분석을 통해 보여 주었다. 이를 통해 본 연구에서는 정치적 사회적으로 국가발전에 중요한 요인으로 강조되었던 국가 투명성과 소비자물가 변화, 국가교육지수가 국가 정보화 변수가 국가경제발전에 미치는 효과를 조절하고 있음을 알 수 있었다. 즉 독립변수인 국가정보화가 국가경제력 발전에 긍정적이고 효과적인 기여를 할 수 있도록 하기 위해서는 국가투명성을 제고하고, 소비자물가를 적정한 수준에서 관리할 필요가 있음을 분석 결과 알 수 있었고 국가 경제력발전에 있어 정보화 교육이 지식정보사회에 있어 매우 중요함을 통계적으로 밝힐 수 있었다. 마지막으로 향후 지식정보사회에서 개별국가들이 국가경제발전을 도모하기 위한 국가정보화정책을 수립함에 있어 참고해야 할 정책적 시사점을 도출해 봄으로서 연구를 마무리하였다.

• 국제지역연구
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• 제20권1호
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• pp.127-146
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• 2016

This paper investigates that the Granger-causality between ODA FDI Trade, and economic growth in Senegal over the last 50 years and ODA, FDI, Trade have a impact on the Senegal's economic growth using the Vector Error Correction Model. The empirical results do confirm a directional causality between the variables considered. It also showed that an increase of ODA in the Senegal has positive effect on GDP growth and FDI, which are important factors of economic growth for poor country like Senegal. Underdeveloped nation has been suffered from insufficient savings or capital for economic growth; therefore, developed nations have to provide enough ODA to supply initial capital formation for growth, so-called, seed money. In a nutshell, ODA as a priming the pump is required and expanded continuously for Africa country's economic growth.

• 경영과정보연구
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• 제12권
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• pp.137-160
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• 2003

The association between accounting earnings and the stock price of an entity is the subject that has been most heavily researched during the past 25 years in accounting literature. Researcher's common finding is that there are positive relationships between accounting earnings and stock prices. However, the explanatory power of accounting earnings which was measured by $R^2$ of regression functions used was rather low. To be connected with these low results, The prior studies propose that there will be additional information, errors in variables. This study investigates empirically determinants of earnings response coefficients(ERCs), which measure the correlation between earnings and stock prices, using earnings level / change, as the dependent variable in the return/earnings regression. Specifically, the thesis tests whether the factors such as earnings persistence, growth, systematic risk, image, information asymmetry and firm size. specially, the determinable variables of ERC are explained in detail. The image / information asymmetry variables are selected to be connected with additional information stand point, The debt / growth variables are selected to be connected with errors in variables. In this study, The sample of firms, listed in Korean Stock Exchange was drawn from the KIS-DATA and was required to meet the following criteria: (1) Annual accounting earnings were available over the 1986-1999 period on the KIS-FAS to allow computation of variables parameter; (2) sufficient return data for estimation of market model parameters were available on the KIS-SMAT month returns: (3) each firm had a fiscal year ending in December throughout the study period. Implementation of these criteria yielded a sample of 1,141 firm-year observation over the 10-year(1990-1999) period. A conventional regression specification would use stock returns(abnormal returns) as a dependent variable and accounting earnings(unexpected earnings) changes interacted with other factors as independent variables. In this study, I examined the relation between other factors and the RRC by using reverse regression. For an empirical test, eight hypotheses(including six lower-hypotheses) were tested. The results of the performed empirical analysis can be summarized as follows; The first, The relationship between persistence of earnings and ERC have significance of each by itself, this result accord with one of the prior studies. The second, The relationship between growth and ERC have not significance. The third, The relationship between image and ERC have significance of each by itself, but a forecast code doesn't present. This fact shows that image cost does not effect on market management share, is used to prevent market occupancy decrease. The fourth, The relationship between information asymmetry variable and ERC have significance of each by. The fifth, The relationship between systematic risk$(\beta)$ and ERC have not significance. The sixth, The relationship between debt ratio and ERC have significance of each by itself, but a forecast code doesn't present. This fact is judged that it is due to the effect of financial leverage effect and a tendency of interest.