• Journal of Agricultural Extension & Community Development
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• v.30 no.3
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• pp.157-170
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• 2023

This study aims to identify factors that affect the quality of life of rural residents. Data were collected from 4,000 rural residents living in rural areas. Raw data was procured from the 'Survey on Rural Well-being in 2022 in Rural Development Administration'. The main results of the ordinal logit regression analysis are as follows. First, in the case of non-farm households, female, immigrants, more educated, more healthy are more likely to be highly perceived quality of life. In the case of full-time farm households, more healthy are more likely to be highly perceived quality of life. In the case of part-time farm households, younger, married, more healthy are more likely to be highly perceived quality of life. Second, for all rural housholds(non-farmers, full-time farmers, and part-time farmers), local amenities and safety also had positive impact on perception of quality of life.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.3
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• pp.102-111
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• 2012

Expresway traffic accident is fatal accident by high speed, especially human injury is a great social issue. This paper aims to identify characteristic differences of highway accidents that involve human injuries or not. To analysis the elements that affect the two types of accidents used the logistic regression model. The analysis showed that human injury accident rate is increased in case of straight road, flat, or cut-slope areas, barriers, male driver, and older driver. These results provide the ground for actions to counter the problems. By discovering factors for accidents leading to fatality, this study can provide important implications for authorities that establish highway safety measures and policies in preventing human injuries or deaths from car accidents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.3146-3152
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• 2014

This paper investigates the determinants for the controlling power and the concentration of the subcontracting trade between the downstream producer and the upstream supplier using a survey data for the IT industry in Gyeonggi-Do. The estimation results of the ordered logit and least square analyses are as follows. First, a firm. s controlling power across the downstream producer and the upstream supplier in the subcontracting trade would grow bigger when the company is bigger, more manufacture-oriented, and has higher ratio of export in sales. Second, the analysis for the upstream suppliers indicates that the higher dependent ratio of the subcontracting trade in the sales, the lower the concentration ratio of the R&D in the sales. Lastly, the analysis of the downstream producers indicates that the higher the dependent ratio of the subcontracting trade in the sales, the higher the concentration ratio of the R&D in the sales, which is distinctively contrast with the analysis result of the upstream suppliers. The overall estimation results are, hence, unsupporting to the transaction cost theory which predicts the increase of R&D investments in both downstream producer and upstream supplier.

• Korea Real Estate Review
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• v.28 no.3
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• pp.7-19
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• 2018

Prior studies concerning the analysis of parents' homeownership on its offspring usually focus on the transmission of tenure between two generations. This study adopted a more comprehensive approach on this topic so the effects of parents' homeownership were analyzed through the economic performance of their sons. Korean labor panel data were used to test hypotheses on intergenerational transmission of parents' homeownership. The period covered years 2000 to 2014, consisting of about 862 samples, while many socioeconomic variables were selected through a filtering process. The results of the three hypotheses showed the following consequences. First, parents' homeownership was a meaningful factor in determining their son's housing tenure. Second, parents who are homeowners tended to have more educated sons. Third, parents' homeownership did not affect their son's annual income. This study showed more extensive effects of homeownership, and government strategy must consider this additional benefit in homeownership policies.

• Proceedings of the KIEE Conference
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• 2004.11b
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• pp.187-189
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• 2004

This paper investigates the effect of weather factors(such as winds, rain, snows, temperature, clouds and humidity) on transmission line outages. The result shows that weather variables have significant effects on the transmission line historical outages and the relationship between them is nonlinear. Multiple regression analysis using Logit model is proved to be appropriate in forecasting line failure rate in KEPCO systems. It could also provide system operators with useful informations about system operation and planing.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.1-8
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• 2014

Recently, use of smartphones has increased so sharply at all ages that addiction problems have emerged. This study analysed factors, focusing on demographic variables, that impact on smartphone addiction of elementary students. First, differences between distributions of addicted groups and those between distributions of most frequently used smartphone functions per variable are analyzed. As a result, grade and academic achievements yield the biggest differences between distributions of addicted groups and gender, grade, and academic achievements yield differences between distributions of most frequently used smartphone functions. Also, differences between distributions of most frequently used smartphone functions per addicted user group are regarded significant. Furthermore, factors affecting smartphone addiction are analysed through the logistic regression analysis and decision trees, where grade, academic achievements, dual-income parents, and residential areas are found affecting in that order.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.444-453
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• 2018

The study addresses the analysis on the financial determinants of corporate research and development (R&D) expenditure in finance. Overall level of R&D spending was estimated as one of the top-tier on a global basis and a majority of the expenditure was invested by large domestic firms in private sector. Consequently, financial factors that influence R&D intensity were empirically tested in the first hypothesis by using conditional quantile regression model for firms listed in KOSPI stock market in the post-era of the global financial turmoil. Firms in the groups of high- and low-R&D intensity were statistically compared to detect financial differences in the second hypothesis which was accompanied by the test of multi-logit model that included firms without R&D outlay. Concerning the results of the hypothesis tests, R&D spending of the prior fiscal year, firm size, business risk and advertising expense overall showed statistically significant impacts to determine the level. As an extended study of [1] that had examined financial factors of R&D intensity at the macro-level, the results of the present study are anticipated to contribute to maximizing shareholders' wealth in advance or emerging capital markets, when applied to find an optimal level of R&D expenditure.

• Korean Journal of Social Welfare
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• v.66 no.1
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• pp.251-276
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• 2014

This study scrutinizes the common sense in the field of disability employment that the bigger the size of a firm, the lower the employment rate of people with disabilities. This common sense has been established by conventional cross-tabulation and multiple regression analyses without taking into account possible interactions between the sizes of firms and the industries in which they operate. This study shows that the distribution of the disability employment rate violates the linearity and homoscedasticity assumptions of the OLS. In an effort to find models that explain the data better, this study fits the OLS model, the weighted linear regression model, and the multinomial logit model as well as the path analysis which is meant to examine the relationships between firm size and other variables relevant to disability employment. The result shows that, when an interaction term between firm size and industry is added to the model, firm size does not have any significant effect on disability employment rate for those firms with 100 or more regular employees, to the contrary of the findings of prior studies. It also demonstrates that other factors such as job setting, the extent of helpfulness of disability employment employers perceive, employers' care for disability, and employers' awareness of disability policies may matter more than does firm size. This study proposes that future research and policy implementation for disability employment should pay no less attention to industry and other factors mentioned above than to firm size.

• Korean Journal of Social Welfare
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• v.63 no.3
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• pp.29-53
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• 2011

This paper analyzed factors to affect needs for personal assistance service in the workplace for people with disabilities. The statistical analyses adapted in this study were the Frequency Analysis, Ordered Logit Analysis, Multiple Regression Analysis. The results of analysis are summarized as follows. First, through the Frequency Analysis many people with severe disabilities in the workplace found to have a high desire of the personal assistance service in the workplace, and factors like types of disability, the degree of disability, income basis found to include in the selection criteria of personal assistance service in the workplace. Second, through Ordered Logit Analysis and Multiple Regression Analysis factors to affect needs for personal assistance service in the workplace for people with disabilities found to include factors like residential district, age, level of education, assistance activities of family. By the results of analysis, it is suggested practical implications and policy implications.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.237-244
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• 2020

The purpose of this study is to empirically analyze the effect of information related to the largest shareholder's change on the likelihood of reporting a loss for firms listed on the Korea Exchange. Specifically, this study conducts a logit regression analysis to examine the firm's loss reporting with frequent changes in the largest shareholder among the largest shareholder change types. So, it controls the impact of a firm's loss reporting, such as the previous year's loss reporting and discretionary accruals. As a result of the analysis, firms whose largest shareholder have changed more than 2 times in the accounting period are found to have higher firm risk in loss reporting than other firms. The results of this analysis confirm that frequent changes in the largest shareholder, which are disclosures of investment risks on the Korea Exchange, may result in investment risk situations such as loss reporting.