• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.1-14
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• 2022

The implications of bank-specific risks and macroeconomic risks on the growth, profitability, and stability of Islamic and conventional banks are examined and compared in this article. The study also investigates whether corporate governance mitigates the effects of both bank-specific and macroeconomic risks on Islamic and conventional banks' development, profitability, and stability. For the period 2007-2019, we examined a panel data set of 22 banks in Pakistan, including both Islamic and conventional banks. We discovered considerable evidence that both bank-specific risks and macroeconomic risks have negative effects on the growth, profitability, and stability of Pakistani banks using a dynamic panel data estimator, the two-step Generalized Method of Moments (GMM) approach. Furthermore, the findings show that bank-specific and macroeconomic risks have different consequences in both types of banking. The impacts of liquidity risk, operational risk, capital risk, inflation risk, and exchange rate risk are higher for Islamic banks than for conventional banks. Conventional banks, on the other hand, are more vulnerable to credit risk and interest rate risk. Finally, the findings show that good corporate governance reduces the negative consequences of both categories of risks on bank development, profitability, and stability. This is true for Islamic and conventional banks alike.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.28-33
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• 2022

This study aims to investigate factors that affect elderly poverty based on a comprehensive and universal perspective, suggesting some alternatives for improving the poverty rate of the elderly. The comprehensive and universal approach to the poverty of the aged that this study attempts can give a better understanding of the elderly poverty beyond the contribution of the existing literature, with the research model including individual, family, labor, and income factors as the causes of old-age poverty from the comprehensive and universal perspective on the causes of poverty of the elderly. In addition, the study attempts to input variants of variables into the equation for the causes of elderly poverty by using panel data from the 8th Korean Retirement and Income Study. This study employs decision tree analysis to determine the cause of the poverty of the elderly using CHAID. The decision tree analysis shows that the most vital variable affecting elderly poverty is making income. For the poor elderly without earned income, public pensions, educational careers, and residential areas influence elderly poverty, but for the poor elderly with earned income, wage earners and gender are variables that affect poverty. This study suggests some alternatives to improve the poverty rate of the aged. The government should create a better working environment such as senior re-employment for old people to be able to participate in economic activities, improve public pension or social security for workers with unfavorable conditions for public security of old age, and give companies that create employment of the aged diverse incentives.

• Journal of the Society of Naval Architects of Korea
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• v.41 no.2
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• pp.33-46
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• 2004

The cavitating noise of underwater propeller is considered numerically in this study. The main purpose of this research is to analyze these noise sources from marine propeller. The approach for investigation is a potential based panel method coupled with acoustic analogy. To predict propeller sheet cavitation noise, the blade surface cavity is considered as a single valued pulsating volume of vapor attached to the blade surface. The time dependent cavity volume data are used for noise prediction. Furthermore, we analyze hydrofoil cavitation bubble behavior and noise using Eulerian/Lagrangian approach. Through this study, we can analyze dominant noise source of marine propeller and provide a basis for proper noise control strategies.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.318-327
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• 2014

Today, Competition in employment among the youth is more intensified and this phenomena lead to youth unemployment problems. This study was conducted to found the influence of youth employment effort on labor participation. We studied what variables could affect motivation of employment preparation especially among undergraduate and graduated students. We used 3rd~5th(2009~2011) 'Youth Panel Data' designed by Korean Employment Information Service. Data we adjusted were male(3,481) female(3,770). We applied the Generalized Estimating Equations to Panel logit model. We found that job education and training, career guidance, job shadowing program, getting new certification, sex, age and change of gross income affected employment preparation with controling education factors, socio-economic factors. This study found the effort of employment preparation was significant impact on labor participation and showed an influence on each variable empirically. We suggest that the youth-unemployment problem there is a need to approach fundamental aspects.

• Korean Journal of Child Studies
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• v.37 no.3
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• pp.13-26
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• 2016

Objective: The purpose of this study was to investigate the relationship between sleep duration and school adjustment of elementary-, middle-, high-school youth and to verify the mediating effects of parenting behavior. Methods: We analyzed the data from Wave 4 of the first-grade panel of elementary school and Waves 1 and 4 of the first-grade panel of middle school in Korean Children and Youth Panel Survey (KCYPS), including 1,703 fourth graders, 2,119 seventh graders, and 2,108 tenth graders. Multiple regression was used for the data analyses. Results: The results of this study were as follows. First, longer sleep duration was associated with a higher level of school adjustment in fourth grade. In contrast, longer sleep duration was associated with a lower level of school adjustment in seventh and tenth grades. Second, longer sleep duration was related to a higher level of discipline through reasoning in fourth grade. However, longer sleep duration was related to a lower level of parental monitoring in seventh and tenth grades. Third, the relationship between sleep duration and school adjustment was mediated by parenting behavior. Discipline through reasoning had a mediating effect in fourth grade, but the mediating effect of parental monitoring was found in seventh and tenth grades. Conclusion: These results suggest a differentiated approach on sleep duration in accordance with developmental stage and the need for parent education.

• Survey Research
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• v.11 no.1
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• pp.107-121
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• 2010

The purpose of this paper is to design and implement a Computer Assisted Personal Interviewing (CAPI) system for Panel Survey of Employment for the Disabled (PSED) using Blaise software developed by Statistics Netherlands which is a powerful and flexible system used for computer-assisted survey processing. CAPI system for PSED is consisted of three parts, which are survey management program, electronic questionnaire program, and postprocessing program. These programs are constructed with modular approach and are integrated into CAPI system. The developed software is highlighted in its reusability which results in the improved efficiency and reduced cost of software maintenance. CAPI system for PSED proved its effectiveness in carrying out the survey by guaranteeing correctness of survey data, improved timeliness of survey, easy reforming the questionnaires, easy control on the interviewers, and rapid data processing in spite of the complexity of PSED.

• International Area Studies Review
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• v.13 no.3
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• pp.73-91
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• 2009

In this paper, we attempt to study the trend of regional disparity among Chinese provinces and examine the effects of globalization on the disparities adapting panel data approach. The panel data set utilized consists of the annual variables of 29 provinces during 18 years from 1990 to 2007. The trend of inter-provincial disparities in the 1990s with the expansive trend but the trend has started to decrease since 2000. The results of the China case study show clearly that the provincial international trade level and ratio variables perform on regional income disparities remarkably in all cases. It means that the large development of international trade do with increased among provincial disparity. While due to the large area in the provinces, there exist urban-rural disparities within provinces could be one of the main source of regional disparities. Therefore, along with western regions development policy various development policies against small cities are necessary for balanced regional economic growth in China.

• Journal of the Korean Solar Energy Society
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• v.37 no.4
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• pp.35-47
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• 2017

Energy efficiency solutions are being pursued as a sustainable approach to reducing energy consumption and related gas emissions across various sectors of the economy. Vacuum Insulation Panel (VIP) is an energy efficient advanced insulation system that facilitates slim but high-performance insulation, based on a porous core material evacuated and encapsulated in a barrier envelope. Although VIP has been applied in buildings for over a decade, it wasn't until recently that efforts have been initiated to propose and adopt a global standard on characterization and testing of VIP. One of the issues regarding VIP is its durability and aging due to pressure and moisture dependent increase of the initial low thermal conductivity with time; more so in building applications. In this paper, the aging of commercially available VIP was investigated experimentally; thermal conductivity was tested in accordance with ISO 8302 standard (guarded hot box method) and long-term durability was estimated based on a non-linear pressure-humidity dependent equation based on study of IEA/ECBCS Annex 39, with the aim of assessing durability of VIP for use in buildings. The center-of-panel thermal conductivity after 25 years based on initial 90% fractile with a confidence level of 90 % for the thermal conductivity (${\lambda}90/90$) ranged from 0.00726-0.00814 (W/m K) for silica core VIP. Significant differences between manufacturer-provided data and measurements of thermal conductivity and internal pressure were observed.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.421-427
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• 2008

본 연구에서는 방대한 양과 다양한 종류의 필드를 가지는 인력패널 데이터를 기초로 데이터마이닝 기법인 의사결정나무 추론 등의 기법을 활용하여 근로자의 직무 만족과, 조직몰입에 주요한 영향을 주는 요소를 상향식으로 도출하고, 이런 주요 요소가 근로자의 직무만족과, 조직몰입에 어떠한 관계를 가지는지 살펴보고자 한다. 본 연구결과는 데이터마이닝 기법을 활용한 직무만족과, 조직몰입 모형구축을 통하여 기존연구들에서 고려하지 못한 주요 영향요인을 보완하고, 기업의 인적자원관리 및 개발 차원에서 조직의 발전과 성과향상을 기대할 수 있다.

• The Journal of Information Systems
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• v.28 no.3
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• pp.249-276
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• 2019

Purpose The purpose of this study is to develop a prediction model and decision rules for the elderly's suicidal ideation based on the Korean Welfare Panel survey data. By utilizing this data, we obtained many decision rules to predict the elderly's suicide ideation. Design/methodology/approach This study used classification analysis to derive decision rules to predict on the basis of decision tree technique. Weka 3.8 is used as the data mining tool in this study. The decision tree algorithm uses J48, also known as C4.5. In addition, 66.6% of the total data was divided into learning data and verification data. We considered all possible variables based on previous studies in predicting suicidal ideation of the elderly. Finally, 99 variables including the target variable were used. Classification analysis was performed by introducing sampling technique through backward elimination and data balancing. Findings As a result, there were significant differences between the data sets. The selected data sets have different, various decision tree and several rules. Based on the decision tree method, we derived the rules for suicide prevention. The decision tree derives not only the rules for the suicidal ideation of the depressed group, but also the rules for the suicidal ideation of the non-depressed group. In addition, in developing the predictive model, the problem of over-fitting due to the data imbalance phenomenon was directly identified through the application of data balancing. We could conclude that it is necessary to balance the data on the target variables in order to perform the correct classification analysis without over-fitting. In addition, although data balancing is applied, it is shown that performance is not inferior in prediction rate when compared with a biased prediction model.