• Journal of Technology Innovation
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• v.25 no.3
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• pp.83-113
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• 2017

This paper constructs panel data of inventors listed on patents applied for the KIPO during 1991-2005 and analyzes the effects of network characteristics on inventor productivity. The findings are as follows: ⅰ) Strong ties within a network have positive effects on inventor productivity. ⅱ) An inventor with high centrality shows high producitivity. ⅲ) Technological diversity of a network enhances inventor productivity. ⅳ) An inventor belonging to a network of good quality shows higher productivity. ⅴ) Network size is positively related with inventor producitvity. ⅵ) A lone inventor shows the highest productivity among types of inventors, and a co-inventor with the experience of standalone invention is more productive compared to an inventor with only the experience of co-invention. ⅶ) The productivity effects of network variables differ across regions. ⅷ) Differences among regions do not decrease though geographical boundaries become less important.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.95-107
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• 2020

We analyze the performance of South Korea wholesalers and retailers during the period when COVID-19 emerged and began to spread in South Korea. Specifically, we choose operational efficiency as a proxy variable for reflecting corporate performance and apply stochastic frontier analysis for estimating operational efficiency. Importantly, in order to examine the impact of the COVID-19 period (Q1 to Q2 2020) on operational efficiency, we consider the quarterly fixed effect corresponding to the COVID-19 period. Our findings include: (ⅰ) the average level of operational ffficiency is approximately 0.7138 during the analysis period (Q1 2019 to Q2 2020); (ⅱ) the fixed effect of the COVID-19 period on operational efficiency is not significant; and (ⅲ) operational efficiency is positively correlated with the scale of the company. Moreover, from an academic perspective, we make a contribution by examining the relationship between the operational efficiency as a firm-level variable and the COVID-19 period as a macroeconomic variable.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1095-1106
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• 2016

The quantile regression method proposed by Koenker et al. (1978) focuses on conditional quantiles given by independent variables, and analyzes the relationship between response variable and independent variables at the given quantile. Considering the linear programming used for the estimation of quantile regression coefficients, the model fitting job might be difficult when large data are introduced for analysis. Therefore, dimension reduction (or variable selection) could be a good solution for the quantile regression of large data sets. Regression tree methods are applied to a variable selection for quantile regression in this paper. Real data of Korea Baseball Organization (KBO) players are analyzed following the variable selection approach based on the regression tree. Analysis result shows that a few important variables are selected, which are also meaningful for the given quantiles of salary data of the baseball players.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.193-200
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• 2020

In this study, we investigated the effect on digital signage, a new outdoor advertising medium. Specifically, this research examined the differential effects of interactive digital signage and simple touch digital signage through control variables such as involvement and self-efficacy. As a result, interactive digital signage showed positive advertising effect compared to simple touch digital signage. In addition, interactive digital signage has a more positive effect than simple touch digital signage when involvement is self-efficacy is high. However, the effect of the digital signage types was not significant when the self-efficacy was low. Lastly, involvement did not affect the effects of digital signage types. In this study, we can help to establish a customized customer strategy that can maximize digital signage effect.

• Journal of Labour Economics
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• v.29 no.3
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• pp.1-23
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• 2006

This study investigates the effects of inward foreign direct investment on local workers' wages by focusing on U.S. manufacturing industries for the period from 1987 to 1992. Contrary to public perception that foreign ownership is positively associated with higher wages, previous studies show mixed results. Since most of the previous studies used industry or firm level average wages, they can not control for the impact of individual characteristics on wages. I use two different approaches to control individual characteristics and to implement estimation in this study: (1) One-step estimation with industry-state level of inward foreign direct investments by using individual level data, and (2) Two-step industry characteristic regression approach. The higher presence of foreign firms is associated with higher local wages after workers' observable characteristics are controlled for in the first approach. This effect, however, disappears once workers' industry affiliations and regions are controlled for in cross-section analysis. In a panel data analysis, I did not find any statistically significant positive association between inward FDI activities and industry wage premiums within industry. Further, inward FDI activities appeared to be negatively associated with worker's industry wage premium for workers with more than high school education.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.2
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• pp.43-53
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• 2017

This study aims to analyze the effect of typhoons on pear production. Pears are typical fruits that are vulnerable to typhoon damages, so typhoons are negatively associated with pear productivity. However, relatively less pear damages by typhoons in the main pear production area, comparing to the average in Korea, have been reported. The main production area seems to adopt better agricultural techniques or practices to cope with natural disasters such as typhoons. Thus, this study tests the hypothesis that there are differences of production losses due to typhoons between the main pear production area and the rest using the stochastic frontier analysis. The main production area is defined by Location Quotient Index (LQI), and we found that LQI had a significant effect to decrease the productivity losses in the main production areas, which shows that those production areas alleviated the pear production loss due to typhoons.

• Journal of Korean Society of Transportation
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• v.29 no.5
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• pp.19-32
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• 2011

There are many investment budget drafts in the filed of a road traffic safety. The traffic safety budget is spitted into following three major areas: 1) traffic safety facility (Engineering), 2) traffic enforcement (Enforcement), and 3) traffic safety education & public relation (Education). The three area are known as so-called 3E policy. This study investigates the effect of the investment in the 3E policy on the reduction of traffic accidents analyzing the data annually collected from the 15 local governments during 1992 to 2007. The analysis employing the traffic accidents as the dependent variable reveals that the effect of the investment is higher if same amount of investment is made on areas of the traffic safety education and public relation than the area of facility improvement. The similar conclusions are resulted from the separate investigation of traffic accidents data by 6 different types. All the results consistently indicate that the current traffic safety investment being primarily made on traffic safety facility needs to shift to the areas of traffic safety education and public relation budget.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.219-220
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• 2012

국내외 걷기 문화의 확산으로 도보여행객이 증가하고 많은 길들이 만들어짐에 따라 도보관광객의 만족에 영향을 주는 변수 연구가 필요한 때이다. 도보여행코스의 형태가 관광객의 만족에 영향을 줄 것이라 보고 도보여행코스의 형태별 분류를 진행하였다. 지역의 특성에 맞는 형태의 코스 개발, 도보여행의 취지와 효과에 맞는 형태의 코스를 선택하는 데에 도움이 될 것으로 기대한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.56-65
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• 2019

This study empirically analyzes the effect of weather on pedestrian volume in an urban space. We used data from the 2009 Seoul Flow Population Survey and constructed a model with the pedestrian volume as a dependent variable and the weather and physical environment as independent variables. We constructed 28 models and compared the results to determine the effects of weather on pedestrian volume by season, land use, and time zone. A negative binomial regression model was used because the dependent variable did not have a normal distribution. The results show that weather affects the volume of walking. Rain reduced walking volume in most models, and snow and thunderstorms reduced the volume in a small number of models. The effects of the weather depended on the season and land use, and the effects of environmental factors depended on the season. The results have various policy implications. First, it is necessary to provide semi-outdoor urban spaces that can cope with snow or rain. Second, it is necessary to have different policies to encourage walking for each season.

• Culinary science and hospitality research
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• v.22 no.5
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• pp.167-178
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• 2016

This study is on the effect of Korea on the Korean brand image of Korean satisfaction from the perspective of foreign visitors. Korea representative food was designated as a potential mediator to this relationship. Survey wes conducted from 277 foreign people by using English survey and analyses results of Korean brand image reveal that quality reliability, attractiveness, and health promotion appeared to have a positive impact, while family orientation was found to have a negative effect. Results identified the positive mediating effect between formulated relationship.