• 한국항해항만학회지
• /
• 제43권2호
• /
• pp.134-141
• /
• 2019

The objective of this study was to establish whether global macroeconomic indicators affect the profitability of Korean shipping companies by using panel regression analysis. OROA (operating return on assets) and ROA (ratio of net profit to assets) were selected as proxy variables for profitability. OROA and ROA were used as dependent variables. The world GDP growth rate, interest rate, exchange rate, stock index, bunker price, freight, demand and supply of the world shipping market were set as independent variables. The size of the firm was added to the control variable. For small-sized firms, OROA was not affect by macroeconomic indicators. However, ROA was affected by variables such as interest rates, bunker prices, and size of firms. For medium-sized firms, OROA was affected by demand, supply, GDP, freight, and asset variables. However, macroeconomic indicators did not affect ROA. For large-sized firms, freight, GDP, and stock index (SCI; Shanghai Composite Index) have an effect on OROA. ROA was analyzed to be influenced by bunker price and SCI.

• 한국경제지리학회지
• /
• 제17권1호
• /
• pp.129-146
• /
• 2014

본 연구는 산업구조의 다양성이 실업과 고용안정에 어떠한 영향을 미치는지를 지역경제 수준에서 분석하였다. 이를 통하여 대부분의 지역에서 일부 산업을 전략적으로 육성하려는 산업특화정책이 해당 지역경제의 안정성에 어떤 영향을 미쳤는지를 분석하였다. 실증분석을 위해 1993년부터 2010년까지의 우리나라의 16개 시도의 자료를 이용하여 허핀달지수를 측정하고 패널회귀모형을 이용하여 추정하였다. 주요 실증분석결과를 요약하면 다음과 같다. 첫째, 허핀달지수를 계산하여 산업구조 다양성 정도와 변화를 측정해 본 결과 대부분의 지역에서 1990년대에는 산업구조가 특화되다가 2000년대에는 다양화되는 방향으로 변화하는 패턴이 발견되었다. 둘째, 패널회귀모형의 추정 결과, 대부분 지역에서 산업구조의 다양성을 높일수록 실업률이 낮아지는 현상을 보였다. 그렇지만 산업구조 다양성과 고용불안정도 사이에는 통계적으로 유의한 관계가 부분적으로만 확인되었다. 셋째, 대도시일수록 실업률이 높고 고용이 불안정한 것으로 나타났지만 이러한 관계가 매우 유의하다고 보기는 어려웠다. 취업자수증가율이 높은 지역일수록 고용불안정지수는 낮고, 경제활동인구 중 여성비율이 높은 지역일수록 고용불안정지수는 낮으며, 취업자 중 대학 졸업자 비율이 높은 지역일수록 실업률이 높지만 고용불안정도는 낮은 것으로 나타났다. 이상과 같은 실증분석을 고려해보면, 지역전략 산업육성정책과 같은 산업특화정책은 정책의도와는 달리 지역경제 전반의 실업률을 상승시켜서 경제 불안정성을 증대시킬 가능성이 있다. 고용 측면의 관점에서 본다면 산업구조를 특화시키는 것보다 다양성을 높이는 전략이 바람직하다.

• 한국지리정보학회지
• /
• 제21권1호
• /
• pp.46-56
• /
• 2018

본 연구에서는 지표면 온도 변화에 미치는 주요 지역특성인자를 도출하고 각각의 인자가 미치는 확률적 영향계수를 추정하였다. 연구대상지역은 충청북도 전역이며 패널 분석을 위해 시 군 행정 단위로 분할하였다. 지표면온도 및 지역특성 시계열자료들은 MODIS 영상과 통계청자료를 사용하여 각각 구축하였다. 그리고 지표면온도와 횡단면자료인 지역특성인자들을 다중회귀관계로 설정하고 패널 모형 분석을 통하여 회귀계수 추정치를 산정하였다. 지표면온도와 지역특성인자는 패널 모형 분석에서 종속변수와 설명변수로 각각 사용하였다. 패널 자료 분석은 상용 통계프로그램 STATA14를 사용하였으며, 일원 개체 고정효과모형이 본 연구의 지표면온도 변화 해석에 가장 적절한 모형으로 선정되었다. 지표면온도 변화에 미치는 설명변수의 영향수준을 나타내는 기여율은 회귀방정식의 추정회귀계수로부터 구했다. 설명변수별 기여율은 도시 공업지역이 3.746로 가장 컸으며, 다음으로 평균고도${\times}$대지면적비율이 2.856, 전력사용량 2.742, 평균풍속 0.553, 비도시관리지역 0.102, 농림지역과 자연 환경보전지역은 0.085와 0.071 그리고 시 군의 평균강우량 한 단위 변화가 지표면온도 변화에 미치는 기여율은 0.003으로 추정되었다.

• 보건의료산업학회지
• /
• 제11권3호
• /
• pp.51-64
• /
• 2017

Objectives : This study examined the effect of private health insurance on medical care utilization by subscription type. Methods : The data used were the six waves of the Korea Health Panel (2009-2014), and 16,187 persons were the subjects of the analysis. We performed a panel regression with a fixed effects model. Results : Indemnity private health insurance was positively related to the number of physician visits, number of admissions, and total length of stays. However, fixed-benefit private health insurance was not related to medical care utilization. Conclusions : The result of this study, which shows the difference by subscription type in the effect of private health insurance on medical care utilization, suggests that continuous monitoring of indemnity private health insurance is needed in the future.

• 한국사회복지학
• /
• 제64권4호
• /
• pp.285-310
• /
• 2012

본 연구는 사회 스트레스 이론을 근거로 한국복지패널 1차~4차년도 자료를 활용하여 베이비붐 세대 남성의 우울과 스트레스 요인간의 인과관계를 종단적으로 살펴보고자 하였다. 연구결과, 베이비붐 세대 남성의 우울정도와 우울증 의심군은 시간의 진행에 따라 감소한 것으로 나타났다. 패널회귀분석 결과, 시간에 따른 우울의 감소에 영향을 미치는 요인은 중위소득 기준 소득계층의 상승, 가족관계 만족 증가, 사회적 친분관계 만족 증가, 주거환경 만족 증가 등인 것으로 나타났다. 연구결과를 바탕으로 베이비붐 세대 남성의 우울과 인과관계를 가지는 사회 스트레스 요인의 감소에 대한 사회복지 정책 및 개입방향에 대한 논의를 하였다.

• Journal of Information Technology Applications and Management
• /
• 제27권6호
• /
• pp.153-170
• /
• 2020

The Educational Restitution Rate is an important parameter that determines the quality of university education. This paper analyzed data from 148 private universities over the 10 years from 2009 to 2018 using data mining techniques in Korea. A significant causal relationship is detected in the fixed effect model as a result of the panel estimation. And the scale of faculty expansion and fund management, which are the university evaluation indicators, and the size of basic funds, respectively, have a positive effect on the ERR, which is within the confidence interval. In the analysis, the more private universities improve the tuition dependence rate, the more decisively positive affecting ERR. As a result of nonparametric regression estimation, when the faculty expansion ratio is reinforced, the effect of economies of scale is detected in some sections, the improvement of the tuition dependence rate, and the result value is generated through the improvement that results are derived at a certain point in time. We hope that the university based on this study can be a basic Indicators for the diagnosis of basic competencies and policy of student-centered education.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권7호
• /
• pp.43-54
• /
• 2021

Human capital and innovation capacities are essential elements and one of the sustainable approaches to driving economic growth. However, there is debate among scholars concerning these two factors in fostering economic growth. This study investigates the relationships between human capital and innovation capacity and economic growth in selected ASEAN countries, namely, Malaysia, Thailand, and Indonesia. Economists widely discussed the interrelation of human capital and innovation. A large body of literature stated that human capital is an essential factor and engine of economic growth. Innovation has become key in transforming the economic development of developing countries. We analyze human capital (HC) and innovation capacity (INC) using static panel data analysis. The data analysis shows that the fixed-effect model is the best model in this study. Further, human capital (HC) has a significant positive relationship with economic growth. Meanwhile, innovation capacity has no significant relationship with economic growth. We also found that Malaysia's coefficient of human capital and innovation capacity is higher and more efficient than in Thailand and Indonesia. In conclusion, human capital and innovation capacity are crucial elements for measuring economic growth. Skilled human capital contributes significantly to the economic growth and economic development of a nation.

• Asian Journal of Business Environment
• /
• 제12권2호
• /
• pp.43-53
• /
• 2022

Purpose: This study aims to analyze the performance of local taxes in Indonesia through the estimation of tax capacity and tax effort, as well as classifying provinces based on the estimated value of tax capacity and tax effort. Research design, data and methodology: this study uses panel data of 34 provinces in Indonesia for the period of 2014-2018. The analytical method used in the tax capacity model is panel data regression to explain the factors that influence tax performance. Tax effort is estimated by the ratio of tax to tax capacity. Results: The results of the analysis show that gini ratio and regional expenditures have a significant positive effect on the tax ratio, while the share of GRDP in the manufacturing sector and HDI has a significant negative effect on the tax ratio. Based on the results, there are 19 provinces that have low tax capacity and 16 provinces that have low tax effort. Conclusions: The development of local tax performance tends to fluctuate with an average of 1.24 percent per year. Gini ratio and regional expenditure have a significant positive effect on the tax ratio, while the share of GRDP in the manufacturing sector and HDI have a significant negative effect on the tax ratio.

• Communications for Statistical Applications and Methods
• /
• 제26권3호
• /
• pp.315-323
• /
• 2019

Panel data sets have recently been developed in various areas, and many recent studies have analyzed panel, or longitudinal data sets. Often a dichotomous dependent variable occur in survival analysis, biomedical and epidemiological studies that is analyzed by a generalized linear mixed effects model (GLMM). The most common estimation method for the binary panel data may be the maximum likelihood (ML). Many statistical packages provide ML estimates; however, the estimates are computed from numerically approximated likelihood function. For instance, R packages, pglm (Croissant, 2017) approximate the likelihood function by the Gauss-Hermite quadratures, while Rchoice (Sarrias, Journal of Statistical Software, 74, 1-31, 2016) use a Monte Carlo integration method for the approximation. As a result, it can be observed that different packages give different results because of different numerical computation methods. In this note, we discuss the pros and cons of numerical methods compared with the exact computation method.

• Journal of Preventive Medicine and Public Health
• /
• 제56권6호
• /
• pp.515-522
• /
• 2023

Objectives: The pandemic caused by coronavirus disease 2019 (COVID-19) has exerted an unprecedented impact on the health of populations worldwide. However, the adverse health consequences of the pandemic in terms of infection and mortality rates have varied across countries. In this study, we investigate whether COVID-19 mortality rates across a group of developed nations are associated with characteristics of their healthcare systems, beyond the differential policy responses in those countries. Methods: To achieve the study objective, we distinguished healthcare systems based on the extent of healthcare decommodification. Using available daily data from 2020, 2021, and 2022, we applied quantile regression with non-additive fixed effects to estimate mortality rates across quantiles. Our analysis began prior to vaccine development (in 2020) and continued after the vaccines were introduced (throughout 2021 and part of 2022). Results: The findings indicate that higher testing rates, coupled with more stringent containment and public health measures, had a significant negative impact on the death rate in both pre-vaccination and post-vaccination models. The data from the post-vaccination model demonstrate that higher vaccination rates were associated with significant decreases in fatalities. Additionally, our research indicates that countries with healthcare systems characterized by high and medium levels of decommodification experienced lower mortality rates than those with healthcare systems involving low decommodification. Conclusions: The results of this study indicate that stronger public health infrastructure and more inclusive social protections have mitigated the severity of the pandemic's adverse health impacts, more so than emergency containment measures and social restrictions.