• Journal of Labour Economics
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• v.42 no.1
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• pp.43-72
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• 2019

As a result of decomposing the wage gap between large enterprises and SMEs using Oaxaca's wage gap decomposition method, the total wage gap of supply side factors was 44.2%, and the service years and educational background were the biggest influences. and As a result of decomposing the wage gap by firm size based on demand side factors such as business performance, total wage gap was 44.9%, and the influence on wage gap was in the order of labor productivity, union and outsourcing ratio. The results of this analysis suggest that it is necessary to consider the demand side factors such as business performance and capital structure of supply side companies such as differences in human capital in order to solve wage gap by firm size.

• Journal of Labour Economics
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• v.43 no.2
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• pp.75-107
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• 2020

Using the data from 1980 to 2017, I show the long-term trends in the gender wage gap in Korea and analyze factors using decomposition method. It tended to decline until the 1990s, but gradually slowed after the 2000s. Gelbach(2016)'s decomposition method is used as an alternative rather than Blinder-Oaxaca decomposition. The results show that the proportion of explanation of traditional factors, such as age, education, firm size, industry and occupation, are continuously decreasing in explaining the gender wage gap. Expecially, the proportion of explanation of age and that of education have decreased, and that of industry tended to decrease in the 1990s but to increase after the 2000s.

• Korean Journal of Social Welfare
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• v.62 no.3
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• pp.31-58
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• 2010

Using Seoul Welfare Panel Study, this research examines regional differentials in income and asset between Gangnam households and Non-Gangnam households in Seoul. Applying the Oaxaca decomposition method, it also decomposes factors associated with the differentials into explained and unexplained components. Results show that average monthly income is about 4 million won for Gangnam households and 3.2 million won for Non-Gangnam households. The explained component accounts for most of the income differential, which mainly originates from differences in the distributions of individual and household characteristics associated with the monthly income. The net asset differential between the two regions is much greater than the income differential. The net asset is about 460 million won for Gangnam households and approximately 280 million won for Non-Gangnam households. Most of the net asset differential is remained unexplained after controlling for covariates which measure demographic characteristics of householders and various features of labor market in which household members are employeed. It implies that other factors such as inter-generational transfers of wealth may play a significant role in creating the net asset differential.

• Korean Journal of Social Welfare Studies
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• v.47 no.3
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• pp.139-159
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• 2016

This study aims to investigate the wage gap between male and female workers at social welfare institutions and to determine its factors. For this purpose, a Blinder-Oaxaca decomposition and regression models are applied to analyze wage survey data. The results are as follows. Firstly, the gender wage gap of social workers is a bit smaller, compared to the average of wage earners. Secondly, about two-thirds of wage gap is due to differences in productivity(endowment) factors; the other part is due to discrimination. Thirdly, the most important cause of gender wage gap is career disruptions of female workers largely due to marriage and birth. Fourthly, other causes of gender wage gap include differences in education, in job grade, in employment status, and in the characteristics of institutions. Finally, among the discriminating factors worsening gender wage gap, a key factor is a gender discrimination in the compensation for age.

• Journal of Korean Library and Information Science Society
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• v.51 no.1
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• pp.91-114
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• 2020

Due to the settlement of the ICT environment and the widespread dissemination of Net media, the quantitative digital divide based on access to information has evolved into the formation of a qualitative digital divide. In the current information environment where enormous amounts of information exist on the Internet, there is a deeper intellectual digital divide that is different from the existing quantitative and qualitative digital divide. This study identified the changes in digital divide resulted from the evolution of information environment and empirically verified the formation of the intellectual digital divide. It also demonstrated that the intellectual digital divide is not distinct from the existing quantitative and qualitative digital divide, but from differences in the intellectual capacity of the information based on the factors of the existing digital divide. In particular, it was confirmed that the educational and economic levels, which have been the key factors of the traditional digital divide, still form the quantitative and qualitative digital divide, and also act as the key factors in the formation of the intellectual digital divide.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.129-136
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• 2022

This study examines the moderating effect of sociodemographic factors on the relationship between motivation and outcomes of digital device use. The data from 'the 2020 Survey on the Digital Divide' conducted by National Information Society Agency was used for empirical analysis. Significant interaction effects were observed between sociodemographic characteristics and motivation. The results also show that motivation was a primary predictor of the differences in outcomes of digital device use, the third-level digital divide. These findings have implications for closing the third-level digital divide.

• Journal of Korean Library and Information Science Society
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• v.41 no.3
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• pp.391-419
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• 2010

The purpose of this study is to investigate the factor that brings about information literacy gap by comparing and analyzing the group with high level and not so high level information literacy for migrant workers and to seek policy to clear the information literacy gap. To accomplish such purpose, the author found the operation of various factors that bring about information literacy gap through in-depth interview of migrant workers and working level NGO staff. The result of interview revealed that information literacy gap of migrant workers is generated by the complex operation of personal characteristics, technical factor, social and economical factor, government policy factor and so on.

• Korean Journal of Social Welfare
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• v.61 no.4
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• pp.333-354
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• 2009

This study decomposes the gender differences on poverty to explain the causes of the poverty gap between male- and female-headed households. In order to do this, we start from examining the extent of the poverty gap between maleand female-headed families and then conduct decomposition of poverty differences by gender using the Oaxaca method. This paper uses the (Urban) Family Budget Survey data from 1982 to 2008 and measures poverty using 50% of the median income poverty line. Major findings of this study are as follows: First, in 2008, the coefficient effect explains 70% or more of the total gender-poverty gap. Second, the trend of gender-poverty gap in the period of 1982~2008 shows that the poverty gap by gender increased in the 1980s', decreased in the 1990s', and a re-increased in 2000s'. Third, comparing the decomposition results in 1982, 1989, 1999, 2008, we found that the share of characteristic effect of the total gender poverty gap has been increased gradually over time. It means the characteristics of the female-headed households have become worse than those of the male-headed households in urban working families. At the same time, the still large coefficient effect suggests that the problems such as the discrimination against matriarchs or the lack of social support for them still play important roles among urban working families in Korea.

• Korean Journal of Labor Studies
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• v.14 no.2
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• pp.267-307
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• 2008

이 논문은 일본 임금교섭의 '높은 수준의 조율'과 '상당한 기업규모별 임금격차의 존재'라는 일견 서로 모순되는 두 현상을 종합적으로 이해하고자 하였다. 이를 위해 우선 일본에서의 기업규모별 임금격차의 상황을 보았다. 여기서 상당한 정도의 임금격차가 있다는 것을 재확인했다. 그렇지만 일본의 임금격차의 양상은 보다 복합적이어서 소정내 임금을 기준으로 할 때 초임에서는 기업규모별 임금격차가 거의 없었다. 또한 1970년대 이후 1990년대까지 기업규모별 임금격차가 거의 확대되지 않았으며, 한국과 비교할 때 기업규모별 임금격차는 작았다. 이렇게 된 한 가지 이유는 임금교섭인 춘투가 긴밀하게 조율됨으로써 초임이 통일되었고 기업간 평균임금의 격차를 일정 범위 내로 제한할 수 있었기 때문이다. 그리고 기업별 교섭이 긴밀하게 조율될 수 있었던 데에는 일단 '통일투쟁'을 주도한 노조의 전략이 중요한 요인이었다. 통일투쟁의 선두에 선 대기업 노조들은 기업 내에서의 임금극대화보다는 사회적 임금결정 기준을 형성하는 데에 노력했다. 이와 함께 노조에 맞서 강한 단결을 유지하고 긴밀한 협의체제를 만들어간 사용자의 대응 역시 결정적 요인이었다. 그럼에도 상당 폭으로 존재하는 임금격차 역시 임금교섭의 양상과 연관되어 있다. 기업별 교섭이 긴밀히 조율되긴 하나 조율에 한계가 있어서 임금격차를 어느 한도 이상 줄이지 못하는 것이다. 조율의 한계로는 첫째 노조 연대임금 정책의 부재, 둘째 기업별 교섭으로 인한 전국적 조율의 한계, 셋째 연공적 임금체계 하에서 기업횡단적 임금결정 기준이 부재한 것 등을 들 수 있다.

• Journal of the Korean Regional Science Association
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• v.37 no.4
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• pp.75-93
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• 2021

By defining a travel disparity based on the degree to which travelers diversify their destinations, this paper examines how socioeconomic and spatial factors affect the travel disparity among the elderly in Seoul. This paper uses the COVID-19 pandemic as a natural experiment which can bring about different behavioral responses among the older travelers. Using the smart card data, we compare the destination diversification patterns before and after the pandemic. In the early morning(4:30-9:00), the degree of destination diversification varies between the core and the periphery and this trend persists through the pandemic. In the late morning(9:00-12:00), a new trend of disparity appeared after the pandemic. Although those who hold higher socioeconomic status and live closer to the core have a larger range of choices for destinations, the difference of range did not lead to differences in diversification before the pandemic, due to the discretionary nature of the elderly's trip. In contrast, as the elderly were forced to search alternative destinations right after the outbreak of the pandemic, the range of choices became an important factor causing observable differences in destination diversification. The findings suggest that the travel disparity observed during the pandemic is due to the difference in the range of choices by socioeconomic and spatial factors.