• Korean Journal of Social Welfare
• /
• v.54
• /
• pp.321-345
• /
• 2003

Aggregate income stability depends heavily on labor market institutions that stabilize or de-stabilize earnings. But, with the expansion of sate welfare programmes, public income transfers are also important sources of income stability for individual and families. Moreover, income stability is determinant factor of individual and family well being, there are another strategies of income stability in society. Family-based and community-based strategies are particularly important. Accordingly, the distribution of income stability in a given society depends on such institutional arrangements as market, family, state, and community. The purpose of this study is to analyse the income stabilizing role of family, state, and community. I found that stabilizing effect of the family and community was very strong in Korea. When institutional features of labor market and the state leave individuals exposed to market risk, they may be respond by relying more on family-based or community-based strategies of income stabilization. But, I can't deny the possibility of an inadequacy of these strategies in according to the rapid changes of family structures and informal networks. Therefore, state-based strategies of income stabilization should be more strengthened in Korea.

• Journal of Digital Convergence
• /
• v.11 no.2
• /
• pp.347-354
• /
• 2013

This study has attempted to figure out differences between emotional labor and psychosocial stress by occupation-related variables against hairdressing industry workers. For this, a total of 191 hairdressers in Busan were examined using emotional labor scale and psychosocial stress scale. The survey was conducted from July 1 to 30, 2011 using t-test, ANOVA and Scheffe's test. Then, the following results were obtained: First, according to analysis on difference in emotional labor by occupation-related variables, difference was found by monthly income in 'control of emotion' category. In terms of 'emotional dissonance,' difference was observed by job title and monthly income. In 'positive expression of emotions,' difference was detected by monthly income and number of off-days per month. Second, according to analysis on difference in psychosocial stress by occupation-related variables, differences were found by age, job title, education, work experience, monthly income, working hours and number of off-days per month. According to the analysis above, monthly income is related with both emotional labor and psychosocial stress among occupation-related variables.

• Korean Journal of Agricultural Science
• /
• v.49 no.3
• /
• pp.619-627
• /
• 2022

In Korea, apples and pears are among the most important agricultural products to farmers who seek to earn money as income. Generally, farmers make decisions at various stages to maximize their income but they do not always know exactly which option will be the best one. Many previous studies were conducted to solve this problem by predicting farmers' income structure, but researchers are still exploring better approaches. Currently, machine learning technology is gaining attention as one of the new approaches for farmers' income prediction. The machine learning technique is a methodology using an algorithm that can learn independently through data. As the level of computer science develops, the performance of machine learning techniques is also improving. The purpose of this study is to predict the income structure of apples and pears using the automatic machine learning solution H2O.AI and to present some implications for apple and pear farmers. The automatic machine learning solution H2O.AI can save time and effort compared to the conventional machine learning techniques such as scikit-learn, because it works automatically to find the best solution. As a result of this research, the following findings are obtained. First, apple farmers should increase their gross income to maximize their income, instead of reducing the cost of growing apples. In particular, apple farmers mainly have to increase production in order to obtain more gross income. As a second-best option, apple farmers should decrease labor and other costs. Second, pear farmers also should increase their gross income to maximize their income but they have to increase the price of pears rather than increasing the production of pears. As a second-best option, pear farmers can decrease labor and other costs.

• Journal of Korean society of Dental Hygiene
• /
• v.15 no.4
• /
• pp.641-648
• /
• 2015

Objectives: The purpose of the study is to investigate the relationship between emotional labor, burnout and turnover intention in the dental hygienists. Methods: A self-reported questionnaire was completed by 326 dental hygienists in Seoul and Gyeonggido from September to October, 2013. The collected data were analyzed by SPSS/WIN 15.0 program. The questionnaire consisted of nine questions of the general characteristics of the subjects, ten questions of turnover intention, and fourteen questions of burnout. Each question was measured by Likert 5 point scale. Results: There was a significant difference in workplace and monthly income which had an impact on emotional expression(p<0.05). There was a significant difference in current workplace and monthly income which had an impact on emotional dissonance(p<0.05). Burnout had a significant difference(p<0.05) in age, religion, and turnover intention current workplace, employment condition, and the number of turnover. There was a positive correlation between burnout and turnover intention. It was shown that Emotional labor had a positive correlation with burnout and turnover intention and the explanation power was 18.1%. Conclusions: The dental hygienists are one of the most vulnerable emotional labor workers and are apt to feel exhaustion from the job and turnover intention. It is necessary to prepare for the burnout and turnover intention in the dental hygienists.

• Journal of Family Resource Management and Policy Review
• /
• v.13 no.1
• /
• pp.61-81
• /
• 2009

The purpose of this study was to investigate the policy demands of the family sector for work-family balance, with a focus on the child care and household labor provisions. For empirical analysis, data were collected from 197 dual-income families with at least one young child under age 10 in the metropolitan area via self-administered questionnaires. The major findings of this study were as follows. First, child care provisions for working mothers and fathers were insufficient and unfair, and the ratio of child care provisions offered by familial child care network was high. The characteristics of child care provisions for working parents were associated with family structure, working conditions, and demographic variables. Second, household labor provisions for working mothers and fathers were also insufficient and unfair, and the ratio of socialization was high. Third, the level of family satisfaction varied by the level of child care and household labor provisions, respectively, controlling family structure, working conditions, and demographic variables. The empirical results of the study provided policy implications for work-family balance.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.675-684
• /
• 2021

This paper aims to analyze factors influencing earnings of workers in Vietnam using provincial-level data from 2016 to 2018. We show the important determinants of earnings of workers of more than 15 years old including working hour, labor force, life expectancy, education, regulation measured by Provincial Competitiveness Index (PCI) and especially Industry 4.0, our major depart from literature proxies by government expenditure on science and technology, number of phone lines, and number of internet users. Working hours are a typical measurement of quantity of labor supplied. Labor force represents market size from the supply side. Life expectancy measures the health of laborers, a physical quality measure of workers. PCI stands for institutional status of the locality. Two most important factors of our interest are education, representing qualification of workers, and Industry 4.0, reflecting the new working environment of workers. By estimating a robust standard error fixed-effect model, we have evidence that all factors are significant in explaining earnings of Vietnamese workers. Education and IR4.0 play an important role in earnings of workers of Vietnam. Results also provide an estimation of Vietnam's labor supply in the context of Industry 4.0. In addition, findings contribute to explain the income discrepancy among Vietnamese provinces.

• Journal of Korea Trade
• /
• v.24 no.8
• /
• pp.1-18
• /
• 2020

Purpose - This paper examines how differently output and input tariffs affect domestic employment across industrial characteristics of comparative advantage such as labor quality and capital intensity. Design/methodology - The paper focuses on 453 Korean industries from 2007 to 2014 because Korea is a typical example of a natural resource-scarce open economy and experienced the transition of the export pattern from labor intensity to technology intensity during this period. Findings - The results show that input tariff reduction stimulated total employment, focusing on the early 2010s, while the effects of output tariff reduction were statistically insignificant in general. However, the stimulation effects of output tariff reduction on employment were found in comparative advantage industries with greater labor quality and capital intensity. As for input tariff reduction, its stimulation effects on employment were more prominent in comparative disadvantage industries with lower labor quality and capital intensity. Originality/value - These results provide significant implications for natural resource-scarce open economies which are experiencing the transition of the export pattern from labor intensity to technology intensity and the unequal distribution of income after trade liberalization: imported intermediate inputs has become increasing important, leading to trade effects on employment and alleviation of income inequality.

• The Korean Journal of Applied Statistics
• /
• v.30 no.6
• /
• pp.917-929
• /
• 2017

Korean income data obtained from Korea Labor Panel Survey shows excessive zeros, which may not be properly explained by the Tobit model. In this paper, we analyze the data using a zero-inflated Tobit model to incorporate excessive zeros. A zero-inflated Tobit model consists of two stages. In the first stage, individuals with 0 income are divided into two groups: genuine zero group and random zero group. Individuals in the genuine zero group did not participate labor market since they have no intention to do so. Individuals in the random zero group participated labor market but their incomes are very low and truncated at 0. In the second stage, the Tobit model is assumed to a subset of data combining random zeros and positive observations. Regression models are employed in both stages to obtain the effect of explanatory variables on the participation of labor market and the income amount. Markov chain Monte Carlo methods are applied for the Bayesian analysis of the data. The proposed zero-inflated Tobit model outperforms the Tobit model in model fit and prediction of zero frequency. The analysis results show strong evidence that the probability of participating in the labor market increases with age, decreases with education, and women tend to have stronger intentions on participating in the labor market than men. There also exists moderate evidence that the probability of participating in the labor market decreases with socio-economic status and reserved wage. However, the amount of monthly wage increases with age and education, and it is larger for married than unmarried and for men than women.

• Journal of the Korean Data and Information Science Society
• /
• v.22 no.1
• /
• pp.1-8
• /
• 2011

In panel studies in which the same respondents are interviewed repeatedly over the long term, panel attrition may cause the problems in the reliability of the result and the representativeness of the sample in panel study. In this article, we explore the risk factors of sample attrition in the first 11 waves of the Korean Labor and Income Panel Study (KLIPS) data covering the years 1998-2008, for which the survival analysis techniques such as life-table method and Cox proportional hazard model based on the time to the attrition of each respondent as the survival time of the respondent are applied.

• Journal of Korean Society of Transportation
• /
• v.32 no.4
• /
• pp.357-368
• /
• 2014

So far, land use-transportation models have been used exclusively for numerical analysis. A recent theoretical endeavor now enables us to derive the first-order derivative of the model's welfare function with respect to policy variables. I extend this methodology into the institutional setting where toll revenues are recycled through labor income tax. In this setting, the first-order derivative is composed of (1) the increase in welfare due to reduced congestion, and (2) the decrease in welfare due to interaction with the existing labor income tax. This result coincides with existing theory in the non-spatial model.