• 한국병원경영학회지
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• 제24권4호
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• pp.33-42
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• 2019

Purpose: many domestic welfare programs use the amount of health insurance premiums as a way of measuring individuals' income levels for administrative convenience. As health insurance reform has been made, we examines the income level is still appropriately measured by the health insurance premiums for the employment success package as one of domestic welfare program. Methodology/Approach: we investigate whether the upper limit of the premiums of the self-employed health insured is appropriate or not after healthcare reform, which currently calculated by multiplying the insurance premium of the employee based insured by the adjustment factor (1.2). Findings: we examined appropriateness of the adjustment factors by comparing the premiums before and after the healthcare reform by utilizing the national health insurance data as well as Korea Welfare panel data. We found that the new value of adjustment factor (1.0~1.1) is smaller than the current one (1.2). Practical Implications: to improve the equity between the employee and the self-employed insured after the health insurance reform, the adjustment factor should be lower.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.9-18
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• 2020

This study seeks to analyze the effect of Non-Performing Loans and Capital Adequacy Ratio on Return on Assets on ten conventional banks listed on the Indonesia Stock Exchange (BEI-IDX). This study uses secondary panel data for 2015-2019 in the form of CAR and NPL values from ten conventional banks listed on the BEI-IDX during the 2020 observation period. The research approach is quantitative descriptive with data analysis methods, namely, linear regression. The testing phase of this study includes: transform value, F-test, T-test and hypothesis test with significancy level sig < 0.05. The results of this study reveal that Non-Performing Loans had a significant negative effect (t = -2,637) (0.011 <0.0) on Return on Assets, while Capital Adequacy Ratio has no significant effect on ROA (0.760 > 0.05). R2 value is 0.128 or 12.8%. It has a significant effect on variables, calling efforts by banks, governments, and authorities monetary of related institutions to maintain the stability of finance. The reduction of Non-Performing Loan impacts on assets and capital adequacy ratio, besides, the normal NPL will control the stability of finance. If a balance is created either in the form of values or amounts of the variables, the reduction in Non-Performing Loans will be controlled.

• 유통과학연구
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• 제14권8호
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• pp.23-33
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• 2016

Purpose - The purpose of this study was to analyze the effects of education & training and organizational culture on job satisfaction and organizational commitment and then examine the difference that would appear depending on the job title in the case of Korean employees in the manufacturing industry. Research design, data, and methodology - Our sample consisted of 1,013 administrative employees in the manufacturing industry with data extracted from the 4th Human Capital Corporate Panel (2011) survey. Descriptive statistics and multiple regression analysis were conducted. Results - Results showed that education & training had positive effect only on job satisfaction while organizational culture had positive effect on both job satisfaction and organizational commitment. Components under education & training (duration of the formal learning, efficacy of formal learning and efficacy of informal learning) and organizational culture (equity, communication, talent recognition, innovation) that were found to be affecting job satisfaction and organizational commitment revealed to be different depending on the hierarchical position of the employee. Conclusions - Different approach and policy for each group of job title could be considered in order to increase job satisfaction and enhance organizational commitment of the employees.

• 유통과학연구
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• 제18권2호
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• pp.69-77
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• 2020

Purpose - This paper is aimed to analyze the effects of the mandatory closing regulation targeting large retailers, which has been implemented since 2012 to protect small retailers. We examine the changes in consumers' choice of retailers and their purchasing patterns of agri-food following the implementation of such regulation. Research design, data, and methodology - Household spending patterns were identified through the historical data of household food purchase, consumer panel provided by the Rural Development Administration. Clustering was employed to determine the household spending patterns. Moreover, the different household spending patterns before and after the regulation were comparatively studied. The patterns of consumers' choice of retail stores and shopping baskets by the type of retailers, derived from the respective datasets before and after the regulation, were compared to analyze the effects of the regulation. Results -After the regulation, some consumers who used to shop at large retailers before the regulation changed their shopping places to small retailers. However, the product categories that consumers had mainly purchased before the regulation were rarely changed even after the regulation. Conclusions - Although the regulation helped migrate some of the consumers to small retailers, the regulation seemed to have failed to stimulate consumers to purchase the goods, normally bought at large retailers, from traditional markets. In other words, traditional markets are not effective substitutes for regulation-affected retailers.

• 한국도로학회논문집
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• 제20권2호
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• pp.119-126
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• 2018

PURPOSES : The purpose of this study is to develop a crash prediction model at signalized intersections, which can capture the randomness and uncertainty of traffic accident forecasting in order to provide more precise results. METHODS : The authors propose a random parameter (RP) approach to overcome the limitation of the Count model that cannot consider the heterogeneity of the assigned locations or road sections. For the model's development, 55 intersections located in the Daejeon metropolitan area were selected as the scope of the study, and panel data such as the number of crashes, traffic volume, and intersection geometry at each intersection were collected for the analysis. RESULTS : Based on the results of the RP negative binomial crash prediction model developed in this study, it was found that the independent variables such as the log form of average annual traffic volume, presence or absence of left-turn lanes on major roads, presence or absence of right-turn lanes on minor roads, and the number of crosswalks were statistically significant random parameters, and this showed that the variables have a heterogeneous influence on individual intersections. CONCLUSIONS : It was found that the RP model had a better fit to the data than the fixed parameters (FP) model since the RP model reflects the heterogeneity of the individual observations and captures the inconsistent and biased effects.

• 한국디지털건축인테리어학회논문집
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• 제11권2호
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• pp.51-60
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• 2011

Although the comparative advantage of cities is emphasized in the context of transition into an information-oriented society and globalization, it is difficult to define the concept and evaluate the status of each city. There have been many studies and appraisals on urban competitiveness with common features of subjective standards by researchers. This study aims at extracting determinants of competitive advantage of location by not normative but data-based approach, and deals with panel data concerning 21 cities in capital region. Factor Analysis, a kind of multivariate methods, is taken up for the purpose and results in various findings. Time-serial 5-factor models constructed by the analysis show temporal variability in the determinants and have non-exhaustive and overlapped categories. This study also finds that 'educational base' is emphasized as a leading determinant and 'health, welfare and public services' factor is getting more important. The other potential factor explaining variables such as college and museum is also emerging, which is considered as an element to attract people from outside. And the fact that traditionally expected factors regarding industrial or productive basis is not drawn out indicates the other way of thinking on the relationship between the essential function of cities and industrial foundation.

• Smart Structures and Systems
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• 제14권4호
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• pp.569-594
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• 2014

Damage detection methods based on modal analysis have been widely studied in recent years. However the calculation of mode shapes in real structures can be time consuming and often requires dedicated software programmes. In the present paper the combined application of proper orthogonal decomposition and gapped smoothing method to structural damage detection is presented. The first is used to calculate the dynamic shapes of a damaged structural element using only the time response of the system while the second is used to derive a reference baseline to which compare the data coming from the damaged structure. Experimental verification is provided for a beam case while numerical analyses are conducted on plates. The introduction of a stiffener on a plate is investigated and a method to distinguish its influence from that of a defect is presented. Results highlight that the derivatives of the proper orthogonal modes are more effective damage indices than the modes themselves and that they can be used in damage detection when only data from the damaged structure are available. Furthermore the stiffened plate case shows how the simple use of the curvature is not sufficient when analysing complex components. The combined application of the two techniques provides a possible improvement in damage detection of typical aeronautical structures.

• Asian-Australasian Journal of Animal Sciences
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• 제8권5호
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• pp.505-513
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• 1995

The major factors affecting productivity on daily farms in Queensland, Australia, were determined using the stepwise linear regression approach. The data were obtained from a survey conducted on the total population of daily farms in Queensland in 1987. These data were divided into six major dailying regions. The technique was applied using 12 independent variables believed by a panel of experienced research and extension personnel to exert the most influence on milk production. The regression equations were all significant (p < 0.001) with the percentage coefficients of determination ranging from 62 to 76% for equations developed using' total farm milk: production as the dependent variable. Three of the variables affecting total farm milk: production were found to be common to all six regions. These were; the amount of supplementary energy fed, the area set aside to irrigate winter feed and the size of the area used for dailying. Higher production farms appeared to be more efficient in that they consistently produced milk production levels higher than those estimated from the regression equation for their region. Other methods of analysis including robust regression and non linear regression techniques were unsuccessful in overcoming this problem and allowing development of a model appropriate for farms at all levels of production.

• International Journal of Naval Architecture and Ocean Engineering
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• 제3권1호
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• pp.72-79
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• 2011

Typical results obtained by a newly developed, nonlinear time domain hybrid method for simulating large amplitude motions of ships advancing with constant forward speed in waves are presented. The method is hybrid in the way of combining a time-domain transient Green function method and a Rankine source method. The present approach employs a simple double integration algorithm with respect to time to simulate the free-surface boundary condition. During the simulation, the diffraction and radiation forces are computed by pressure integration over the mean wetted surface, whereas the incident wave and hydrostatic restoring forces/moments are calculated on the instantaneously wetted surface of the hull. Typical numerical results of application of the method to the seakeeping performance of a standard containership, namely the ITTC S175, are herein presented. Comparisons have been made between the results from the present method, the frequency domain 3D panel method (NEWDRIFT) of NTUA-SDL and available experimental data and good agreement has been observed for all studied cases between the results of the present method and comparable other data.

• 농촌계획
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• 제26권3호
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• pp.25-38
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• 2020

The purpose of this study is constructing a regional-level crop acreage choice model incorporating the impacts of producer risk aversion, and applying the constructed model to the Korean policy that promotes rice paddy conversion into non-rice crop fields. The study adopts the approach of Paris (2018) which estimates the absolute risk aversion coefficient inside of a positive mathematical programming model. A panel data set of 143 cities/counties is used for the empirical study where agricultural land in each region is allocated to 8 crops. Our estimated absolute risk aversion coefficients are smaller than those of Paris (2018), but are a little bit larger than those of the existing Korea studies based on survey or econometric methods. We found that there are close relationships among the estimated risk aversion, regional characteristics, and farming patterns. We also found that incorporating the estimated risk attitudes results in substantial differences in the impacts of the rice paddy conversion policy.