• Title/Summary/Keyword: 패널 모형

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A Study on the Determinants of "Decent Work" in the Logistics Industry : Focusing on the comparison with whole industries (물류산업의 "괜찮은 일자리(Decent Work)" 결정요인에 관한 연구 : 전체산업 모형과의 비교를 중심으로)

  • So, Ae-Rim;Shin, Seung-Sik
    • Journal of Korea Port Economic Association
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    • v.38 no.4
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    • pp.139-169
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    • 2022
  • This study derived determinants of 'Decent Work' in the logistics industry and aims to use the analysis results as basic data for policymaking related to labor in the logistics industry and to prepare policies suitable for the characteristics of the logistics industry. As the dependent variable of the model, the Decent Job derived from the first study was used, and the target model was derived from panel data of whole industries to understand the unique characteristics of logistics industry jobs and applied to the logistics industry model. This study found that in the logistics industry, developing the expertise of the logistics industry through "vocational training" compared to whole industries is an important factor rather than raising the "academic level" through the regular curriculum. This seems to reflect the characteristics of the logistics industry as specialized vocational training is required in the case of "railway transportation", "inland water and port transportation", and "air cargo transportation", which have a high proportion of decent job workers among the detailed logistics industries analyzed in this study. Therefore, developing job expertise through additional manpower training programs such as vocational training as well as academic fields learned through regular curriculum is a very important factor in engaging in "Decent Work" not only in the logistics industry but also in other industries.

Gender Differences in Factors Affecting Purchase of Indemnity Private Health Insurance and Impact of Indemnity Private Health Insurance on Healthcare Use: Korea Health Panel Survey Data from 2010 to 2016 (실손형 민간의료보험 가입의 영향요인과 실손형 민간의료보험이 의료이용에 미치는 영향에서 성별 차이: 한국의료패널(2010-2016))

  • You, Chang Hoon;Kwon, Young Dae
    • The Journal of the Korea Contents Association
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    • v.20 no.3
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    • pp.92-105
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    • 2020
  • This study was aimed to identify factors affecting the purchase of indemnity private health insurance and analyze its effect on healthcare utilization by gender. This study analyzed data of the 2010-2016 Korea Health Panel Survey using panel logit model and panel regression model. Men were less likely to purchase indemnity private health insurance than women. Self-rated health and unmet need for healthcare in women were related to insurance purchases. In men, married people and residents of the metropolitan area were more likely to purchase. The indemnity private health insurance did not affect the women's outpatient expenses per visit, but for men it increased. The indemnity private health insurance significantly increased women's inpatient expenses per admission, but it did not affect men's inpatient expenses. This study confirmed gender differences in the factors affecting the purchase of indemnity health insurance and the impact of indemnity health insurance on healthcare utilization. This suggests that gender differences should be taken into account in private health insurance research and institutional operation.

A Panel Data Analysis of the Effects of Worker Participation on the Economic Performance of Workplaces (경영참여가 사업체의 경제적 성과에 미치는 영향에 관한 패널분석)

  • Kim, Jungwoo
    • Korean Journal of Labor Studies
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    • v.24 no.1
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    • pp.261-295
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    • 2018
  • This study draws on data from the 1st (2005) to 6th (2015) waves of the Workplace Panel Survey regarding workplaces with labor representatives, i.e., a trade union or labor-management council, and analyzes these using a fixed effects panel data model to examine the relationship between the level of worker participation and the economic performance of workplaces. Analysis results indicate that higher levels of worker participation in an earlier time period are associated with higher per-worker value added (productivity) and per-worker labor costs (wages) at the current time period, but only up to a certain level beyond which the effect is found to decrease, thus forming an inverted-U shape pattern. Considered from a broad framework, these results are in line with the theoretical predictions by Freeman and Lazear (1995), who had established the logic behind the dynamics of the participation of labor representatives in management activities. In view of the fact that the current average level of worker participation in Korea is very low, the empirical analysis results of this study presents the policy implication that raising the level of workplace participation somewhat beyond current levels would yield improvements in economic performance in terms of the shared rent between labor and management - i.e., productivity (per-worker value added).

Analysis of the Relationship between House Price, Income Inequality and Macroeconomic Variables (주택가격, 소득불평등 및 거시경제변수간의 관계분석)

  • Kwon, Sun-Hee;Hyun, Seong-Min
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.55-62
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    • 2019
  • This study analyzed the relationship between housing price, purchase price, Gini coefficient, interest rate, and the employment, considering that the change in housing price was an important factor influencing macroeconomic variables and income inequality. The panel VAR model was constructed considering the panel data, and the Granger causality, Impulse response and Variance dispersion analysis were performed. As a result, when compared to before and after the global financial crisis, it was shown that the rent price had an effect on income inequality, but in the following period, both the rent price and the selling price affected the income inequality. And that it has a large impact on inequality. In addition, the causality between income inequality and employment rate, interest rate, and tax rate was confirmed. Therefore, it is expected that it will be a desirable policy to mitigate income inequality considering the influence of policy variables for economic activation including government real estate policy.

The Longitudinal Causal Relationship between School Life Adjustment and Life Satisfaction Among Adolescents: The Application of Auto-Regressive Cross-Lagged Model

  • Kim, Kyung Ho
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.4
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    • pp.181-188
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    • 2021
  • The purpose of the current study was to investigate the causal relationship between school life adjustment and life satisfaction among adolescents through longitudinal panel data. The current study analyzed the 1st through 7th wave data in the 4th grade panel of elementary school from the Korea Children and Youth Panel Survey (KCYPS). The research model was tested using auto-regressive cross-lagged model. The major results were as follows. First, adolescents' school life adjustment had a positive auto-regressive effect. Second, adolescents' life satisfaction had a positive auto-regressive effect. Third, adolescents' school life adjustment was a causal predictor of life satisfaction, but not vice versa. Finally, implications in terms of enhancing adolescents' school life adjustment and life satisfaction were also discussed.

Analysis on Affecting Factors for the Income and Farming Scale Using the Panel Model (패널모형을 이용한 농업계 대학 졸업생의 소득과 영농규모에 영향을 미치는 요인 분석)

  • Jung, Da-Eun;Kang, Chang-Soo;Yang, Sung-Bum;Park, Yong-Soo
    • Smart Media Journal
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    • v.11 no.4
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    • pp.56-61
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    • 2022
  • The purpose of this study is to analyze affecting factors on the income, farming scale, and farming implementation of graduates of the Korea National College of Agriculture and Fisheries using panel model. For this, we used a generalized estimation equation among the panel analysis methods. The factors that have a positive (+) effect on income were men, married people, and successive farmers. In the case of parents' cooperative farming, dairy farming or poultry farming, matching the major at the time of graduation with the main items, the income was also high. Factors that have a positive (+) effect on farming scale were unmarried people, parents' cooperative farming, aquaculture cultivation, and poultry farming. The factors that implemented the mandatory farming implementation well were men, married people, parents' cooperative farming, aquaculture cultivation, and pig farming. Through the results of this study, it will be possible to help manage and support graduates and enrolled students.

Analysis of Determinants of Civilian City Gas Demand Considering Spatial Correlation (공간적 상관성을 고려한 민수용 도시가스 수요결정 요인 분석)

  • Eunbi Park;DooHwan Won
    • Environmental and Resource Economics Review
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    • v.33 no.1
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    • pp.59-86
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    • 2024
  • Recently, research on city gas demand is increasing by reflecting the characteristics of each region. The similarity of the social structure of the adjacent region and the density of the supply infrastructure induce spatial correlation with the clustering that has a microscopic relationship between regions. Accordingly, as a result of analyzing the spatial correlation after dividing the demand for city gas for civilian use into a total of 54 regions based on the jurisdiction of 34 city gas companies, it was confirmed that there was a positive spatial correlation from a global and local perspective. In this study, the demand for city gas for civilian use for 54 regions from January 2014 to December 2022 was composed of panel data, and the spatial panel regression analysis and the general panel regression analysis were compared, and it was found that the spatial error model (SEM) was the most suitable model. This presents policy and practical implications by confirming that the demand for city gas for civilian use in one region has a significant relationship with the adjacent region.

R&D and Environmental Kuznets Curve Hypothesis: CO2 Case (R&D 투자와 환경쿠즈네츠 곡선 가설: CO2 사례 분석)

  • Kang, Heechan;Hwang, Sangyeon
    • Environmental and Resource Economics Review
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    • v.25 no.1
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    • pp.89-112
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    • 2016
  • In this paper, as a determining factor of the Environment Kuznets Curve hypothesis, we analyzed the impact of technological innovation. In this paper, in order to empirically validate the role of technological innovation to an inverted U-shaped Environments Kuznets Curve hypothesis, we utilize the 2SLS considering relationship between R&D and the GDP per capita. Also, using the Panel VAR (Panel Vector Auto Regression) model to analyze with what time lag R&D per capita has impact on the emissions of greenhouse gases per capita. Empirical results show that R&D per capita(proxy of innovation) is a important factor to explain Environmental Kuznets Curve hypothesis, and that the external shock such as R&D per capita reduces greenhouse gas emissions per capita with about 3 time lag.

Panel Data Analysis between Flood Damage and Recovery Cost (Panel Data 분석을 통한 홍수피해와 복구비 관계분석)

  • Park, Doo-Ho;Kim, Sun-Young
    • Journal of Korea Water Resources Association
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    • v.44 no.1
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    • pp.1-8
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    • 2011
  • This paper addresses the correlation between the flood damage cost and recovery cost. National data (15 regions) for 20 years, panel data, has been analyzed for this test. Model specification of panel data analysis depends on the characteristics of data set and "fixed" or "random" effects model can be used. The results are represented in both models. As we expected all independent variables show positive relationship with recovery cost, except for the number of death and suffers. The damage of public facilities, such as rivers and road are the major factors on the damage and recovery cost, which means that flood damage can not be decreased without decreasing damages of public facilities from floods. Especially, the recovery cost is always higher than the damage cost and investment for flood control. Unlikely, government investment for flood control is the highest and recovery cost is the always lower than da mage cost andinvestment in Japan. Which means that proper investment can reduce economic damage cost of flood and recovery cost.