• Asian Journal of Business Environment
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• 제13권1호
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• pp.31-41
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• 2023

Purpose: This study purposes to analyze the determinants of the volume of Indonesian tuna exports. Research design, data and methodology: The framework was developed from the gravity model for trade, which was expanded with additional variables of competitiveness, exchange rate, and industrial share of the destination country. The data sources used in this study are UN Comtrade and the World Bank. The data used is yearly data from 12 countries in 2001-2019. The scope of the study is limited to exports to the twelve main export destinations. Panel data regression analysis is used to determine the factors that affect the volume of Indonesian tuna exports. Results: The results show that according to the theory, Indonesia's GDP has a positive effect and economic distance has a negative effect on the volume of the exports. Meanwhile, the GDPs of the destination countries are not proven to have a positive effect. However, the higher the industrial share in the country, the higher the export volume tends to be. Conclusions: The conclusion obtained from this study is that Indonesia's GDP, economic distance, real exchange rate, industrial GDP share of the destination country, and the RCA index affect the volume of Indonesian tuna exports.

• Journal of Korea Trade
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• 제26권7호
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• pp.127-144
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• 2022

Purpose - This study aimed to analyze the dynamic effects of progress in globalization on firm performance by employing individual companies' financial statement datasets. Design/methodology - The analysis leveraged the variables of operating revenue (OPRE) and pre-tax profit and loss (PLBT) as measurement variables for firm performance over 2011-2019. As a proxy variable for globalization, the trade index, a subordinate indicator of the KOF Globalization Index, was used. Through panel regression analysis, the relationship among those variables was ascertained, and the local projection (LP) method was subsequently utilized to identify dynamic effects. A subsample analysis was further performed by classifying companies based on their sizes and industries to determine the differential effects of globalization on each group. Findings - The panel regression analysis derived positive effects of an increasing degree of globalization on OPRE of Korea maritime and fishery firms. However, the impulse response functions, obtained from the LP, showed that in the short run, globalization affects PLBT negatively but in the long run, it gradually converted into a positive effect. In addition, according to the subsample analysis based on company size, the effects of globalization on OPRE became greater as each company became larger. Moreover, the industry-based analysis showed heterogeneous effects, depending on the industries in which the maritime and fishery companies operated. Originality/value - The analysis of the dynamic effects of globalization on firm performance, which revealed that the effects vary depending on the time points, is the important contribution of this study. The results also suggest that the effects of globalization vary depending on the company size and industry.

• 한국융합학회논문지
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• 제10권7호
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• pp.391-397
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• 2019

우리나라의 인구 10만명 당 자살자 수는 24.6명으로 OECD국가 중 가장 높은 수준이다. 연령이 증가함에 따라 자살사망은 증가하고 있어 노인인구는 자살사망의 위험이 다른 인구집단에 비하여 매우 높다. 본 연구는 한국노인의 자살을 예측하는 요인을 확인하기 위하여 시도되었다. 노인을 대상으로 한 자살예방교육의 기초자료로 활용하고자 한국 복지패널의 2016년도에 구축된 11차 년도 복지패널 자료 중 만 65세 이상 노인 가구원 자료를 추출하여 분석하였다. 연구 대상자의 평균연령은 75.55세(표준편차 6.34)이며, 남성은 37%, 여성은 63%였으며, 지난 일 년간 자살생각을 한 적이 있는 대상자는 165명으로 전체의 3.4%였다. 주관적 건강상태와 우울, 자아존중감, 기초생활수급, 의료급여, 노인장기요양급여 등 사회서비스 수급여부의 관련요인을 포함하여 단계적 로지스틱 회귀분석 결과 우울(Exp(B)=1.113), 주관적 건강상태(Exp(B)=.767)가 자살생각을 예측하는 것으로 나타났다(Nagelkerke $R^2=.248$). 따라서 노인을 대상으로 한 자살예방프로그램의 효과적 적용을 위하여 주관적 건강상태의 사정과 우울증 선별검사를 통한 고위험군의 파악이 요구된다.

• 디지털융복합연구
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• 제17권3호
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• pp.79-92
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• 2019

본 연구는 패널회귀분석의 GLS 및 고정효과모형 추정을 통해 내항 화물운송사업의 화물운송수입과 자본, 자산, 영업외 비용, 부채비율이 부채에 어떠한 영향을 미치는지 분석하였다. 이론적 배경을 통한 요인과 가설 설정, 2006년부터 2015년까지 10년간 내항 화물운송사업체의 재무상태표, 손익계산서 자료를 분석한 결과, 자산은 부채에 정(+)의 영향, 자본과 영업외비용, 부채비율은 부채에 부(-)의 영향을 끼치며, 화물운송수입은 영향을 미치지 않는 것으로 나타났다. 이러한 결과는 내항 화물운송사업체가 부채확대로 자산 확보하려는 경향, 은행차입을 통한 이자비용 등 영업외비용을 활용한 부채감소 레버리지 효과 창출, 부채보다 자본을 줄여 부채비율을 하향조정하고 있는 경영특성과 재무적 운영방식을 채택하고 있음을 실증적으로 보여준다. 향후 연구에서는 내항 화물운송업체를 업종별(화물선, 유조선, 예부선), 지역별(서해권, 남해권, 동해권)로 세분화하여 분석할 필요가 있다.

• 보건행정학회지
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• 제30권3호
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• pp.399-408
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• 2020

Background: The purpose of this study was to examine the impact of the regional characteristics on the accessibility of emergency care and the impact of emergency medical accessibility on the patients' prognosis and the emergency medical expenditure. Methods: This study used the 13th beta version 1.6 annual data of Korea Health Panel and the statistics from the Korean Statistical Information Service. The sample included 8,119 patients who visited the emergency centers between year 2013 and 2017. The arrival time, which indicated medical access, was used as dependent variable for multi-level analysis. For ordinal logistic regression and multiple regression, the arrival time was used as independent variable while patients' prognosis and emergency medical expenditure were used as dependent variables. Results: The results for the multi-level analysis in both the individual and regional variables showed that as the number of emergency medical institutions per 100 km² area increased, the time required to reach emergency centers significantly decreased. Ordinal logistic regression and multiple regression results showed that as the arrival time increased, the patients' prognosis significantly worsened and the emergency medical expenses significantly increased. Conclusion: In conclusion, the access to emergency care was affected by regional characteristics and affected patient outcomes and emergency medical expenditure.

• 보건행정학회지
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• 제20권1호
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• pp.1-18
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• 2010

This article examines social determinants of population health in OECD countries, where life years, infant mortality, and PYLL are used as proxy variables of health. The unit of analysis is a country which is the OECD affiliate. A panel regression estimation is chosen as a method, using OECD Health Data. The results are: the increasing national health expenditure affected positively to improve population health. Education was rather a significant determinant of health than income level. The government direct investment for public health did not contribute positively to enhance population health. The expansion of health care coverage was working positively for improving health, but with a time lag. The supply of doctors was a most influential determinant of health. In case of Korea, the coverage expansion of health care was the most important determinant of health. The supply of doctors was, however, not a positive factor for better health, which is different result with the case of OECD countries.

• Asian Journal of Business Environment
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• 제9권4호
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• pp.5-13
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• 2019

Purpose - This research is aimed to investigate the impact of the Information and Communication Technology (hereinafter ICT) development index and ICT investment on Indonesian economic growth. Research design, data and methodology - The data used consist of ICT development index, government expenditure on ICT sector, and economic growth from 33 provinces in Indonesia from 2012 to 2015. Based on the Networked Readiness Index published by the World Economic Forum (WEF), Indonesia was ranked 80^th among 142 countries in 2012 and had climbed 64^th in 2014. This indicates that the businesses in Indonesia have adopted ICTs to increase productivity and expand their activities. Panel data regression analysis is performed to reveal the change of the impact over time in each of the provinces. Result - The ICT development index and government expenditure for ICT have a positive effect on the economic growth of all provinces, although the impact is different in each of the provinces. There is a digital gap between the provinces, especially the large digital gap occurring with DKI Jakarta. The provinces of Eastern Indonesia such as NTT and Papua are still relatively slow in development of ICT. Conclusions - ICT development index and allocation of local government expenditure for ICT have significant effect on economic growth. ICT development index has a bigger role in increasing economic growth.

• 한국조사연구학회지:조사연구
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• 제12권3호
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• pp.173-186
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• 2011

본 연구에서는 2003년 시작된 한국청소년패널조사 중학교 2학년 패널자료 분석을 위해 필수적인 각 연도별 횡단면, 종단면 가중치 산출방안을 소개하고 있다. 패널 모집 당시 추출된 표본이 대표하는 모집단의 종단면적 변화 분석을 위한 종단면 가중치는 로지스틱 회귀분석을 이용한 무응답 보정과 사후 층화를 통해 산출되었으며, 조사 연도의 표본 대응 모집단 분석을 위해 필수적인 횡단면 가중치는 전년도 대비 응답률과 사후 층화를 통해 산출되었다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.689-698
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• 2020

The aim of this article is to determine the influence of factors on the capital structure of construction companies listed on the Hanoi Stock Exchange. The data of the article were collected and calculated from the financial statements of 54 construction companies listed on Hanoi Stock Exchange from 2012 to 2019. With the application of E-view software in quantitative analysis to build panel data regression model (panel data), the article has built a regression model to determine the relationship of intrinsic factors affecting the capital structure of construction companies listed on Hanoi Stock Exchange. In the study, dependent variable is capital structure, determined by the debt-to-equity ratio. Profitability, coefficient of solvency, size, loan interest rate, structure of tangible assets, and growth are independent variables. The results showed that the two factors of growth and firm size positively affect the capital structure, the profitability factor has the opposite effect on capital structure. Factors of short-term debt solvency, average loan interest rate and tangible asset structure have no correlation with capital structure. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to make capital structure decisions in their own conditions.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.95-105
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• 2021

A prerequisite of a sound financial system is effective channeling of financial resources to efficient users; hence maximizing economic and societal welfare. To that end, the prevalence of bad loans in banks in emerging economies is a major policy concern. In an attempt to add to the growing body of literature explaining the interrelationship between macroeconomic and firm-specific factors, and non-performing loans (NPL), this paper examines data from 24 scheduled commercial banks in Bangladesh from 2008 to 2019. Macroeconomic factors as well as firm-specific factors related to profitability, capital strength, and efficiency are considered. Panel data regression analysis is performed to estimate pooled OLS, fixed effects, and random effects models. Following the necessary testing, it was found that the fixed effects model with robust standard error is appropriate. Results show that return on assets and inflation have a negative influence on NPL, but GDP growth has a favorable impact. The paper concludes by asserting that the evidence supports similar findings from studies both in Bangladesh and elsewhere and it is noted that a combination of these macroeconomic and firm-specific factors explains only a small portion of the total variation in NPL.