• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.69-76
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• 2021

This study focuses on the relationship between ginseng production per area and meteorological factors. Four areas of major ginseng production are considered in the study. Chungcheongnam-do and Gyengsangbuk-do are selected as the original major production places and Gyeonggi-do and Kangwon-do are selected as the new major places. The meteorological factors applied for study are the average temperature, accumulated precipitation, and integrated sunshine hours. With the data collected across four areas, we used a panel data analysis. From the results of Hausman test, the fixed effects model allowing to control individual area effect is preferable to the random effects model. Based on the results of the fixed effects model, the accumulated precipitation statistically and significantly affect the decreases in ginseng production. Changes in the average temperature negatively affect ginseng production, but the value is not statistically significant. The integrated sunshine positively affect ginseng production, but the value is not statistically significant.

• Korean Journal of Agricultural Science
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• v.41 no.4
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• pp.481-485
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• 2014

According to statistical data the past ten years, cultivation area and yield of radish are steadily decreasing. This phenomenon cause instability of radish's supply due to meteorological chage, even if radish's yield per unit area is increasing by cultivation technological development. These problems raise radish's price. So, we conducted study on meteorological factors for accuracy improvement of radish yield estimation. Panel analysis was used with two-way effect model considering group effect and time effect. As the result, we show that mixed effects model (fixed effect: group, random effects: time) was statistical significance. According to the model, a rise of one degree in the average air temperature on August will decrease radish's yield per unit area by $428kg{\cdot}10a^{-1}$ and that in the average air temperature on October will increase radish's yield per unit area by $438kg{\cdot}10a^{-1}$. The reason is that radish's growth will be easily influenced by meteorological condition of a high temperature on August and by meteorological condition of a low temperature on Octoboer.

• East Asian Economic Review
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• v.20 no.2
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• pp.229-275
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• 2016

We study the effect of the high-skilled emigration rate on the growth rate of the source countries. We incorporate the foreign direct investment and the policy variables into the panel model and also their interactions with the high-skilled emigration rate, as they are related to the network externality that may be created by the high-skilled emigrants working abroad. We apply the static fixed-effects model and compare it with the results obtained in the dynamic panel model with system generalized methods of moments estimators. We find the negative effect of the high-skilled emigration rate by itself and in its interaction with the foreign direct investment only in the dynamic model. However, we find positive coefficient for the interaction of the high-skilled emigration rate and the civil liberties index, which holds across the static and dynamic specifications. This implies that the effect of the high-skilled emigration rate on the growth rate of the source countries can be positive, and the extent is larger for countries with 'poor' civil liberties. The developing countries with low levels of foreign direct investment inflows and 'poor' civil liberties can best benefit from the high levels of skilled emigration outward. Through finding significant interactions with other variables, we confirm that the high-skilled emigration should be considered along with other related variables in measuring its impact on growth. The implications offer suggestions for the international trade and aid policies.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.19-27
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• 2020

This paper aims to empirically study the determinants of liquidity of Indian listed firms. To account for profit persistence, we apply a (pooled, fixed and random) effect models to a panel of Indian listed firms that covers the time period from 2010 to 2016. This study consists of 2154 firms operating in Indian market. Liquidity (LQD) of Indian firms is measured by liquid assets to total assets, whereas bank size, capital adequacy, profitability, leverage, and firm age are used as internal determinants. Further, economic activity, inflation rate, exchange rate, and interest rate are the external factors considered. The findings reveal that leverage, return on assets, and firm age are the essential internal determinants that impact the liquidity of Indian listed firms. Furthermore, among the internal determinants, the results indicate that firm size, leverage ratio, return on assets ratio, and firm age are found to have a significant positive association with firms' LQD, except leverage ratio and firm age has a negative relationship with firms' LQD. From this result, this article has provides helpful ideas and empirical evidence on the inner and external determinants of the companies mentioned in India is very useful to bankers, analysts, regulators, investors and other stakeholders.

• New & Renewable Energy
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• v.6 no.3
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• pp.13-21
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• 2010

This paper analyzes the factors of renewable energy consumption in Korea, China and Japan. We consider renewable energy consumption per capita as dependent variable, GDP per capita, $CO_2$ emissions per capita and real oil prices as independent variables. To analyze this model, this paper uses three econometric methods such as OLS, fixed effect model and panel GLS, utilizing data from 1990 to 2006 in Korea, China and Japan. According to the results by OLS for each country, an increase in GDP per capita or $CO_2$ emissions per capita or oil prices leads to an increase in renewable energy consumption. According to the results by fixed effect model, an increase in GDP per capita or $CO_2$ emissions per capita leads to an increase in renewable energy consumption. And real oil prices do not have a significant impacts on this model. According to the results by panel GLS, an increase in real GDP per capita as a proxy of income leads to an increase renewable energy consumption. And both $CO_2$ emissions per capita and real oil prices do not correlated closely with renewable energy consumption. Thus oil is not substituted to renewable energy in Northeast asian countries.

• Journal of Preventive Medicine and Public Health
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• v.52 no.1
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• pp.21-29
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• 2019

Objectives: The Regional Cardiocerebrovascular Center (RCCVC) Project designated local teaching hospitals as RCCVCs, in order to improve patient outcomes of acute cardiocerebrovascular emergencies by founding a regional system that can adequately transfer and manage patients within 3 hours. We investigated the effects of RCCVC establishment on treatment volume and 30-day mortality. Methods: We constructed a panel dataset by extracting all acute myocardial infarction cases that occurred from 2007 to 2016 from the Health Insurance Review and Assessment Service claims data, a national and representative source. We then used a panel fixed-effect model to estimate the impacts of RCCVC establishment on patient outcomes. Results: We found that the number of cases of acute myocardial infarction that were treated increased chronologically, but when the time effect and other related covariates were controlled for, RCCVCs only significantly increased the number of treatment cases of female in large catchment areas. There was no statistically significant impact on 30-day mortality. Conclusions: The establishment of RCCVCs increased the number of treatment cases of female, without increasing the mortality rate. Therefore, the RCCVCs might have prevented potential untreated deaths by increasing the preparedness and capacity of hospitals to treat acute myocardial infarction patients.

• International Commerce and Information Review
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• v.16 no.2
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• pp.279-296
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• 2014

This study focused on the Technology export of Korea SMEs. Therefore this study made an empirical analysis for investigating the competitiveness of technology export in Korea SMEs and using panel data 2003-2011 of technology trade data between 72 Countries. In particular, the study deduced the correlation between technology export in Korea SMEs using the variables of Gross Domestic Expenditure on R&D and Per capita GDP, distance, population, free-trade index, firm R&D against industry value added of country, Patent grants by country to USA fixed effect model in panel linear regression model. It is found that the Technology export of Korea SMEs made a significant effect on the per-GDP, Gross Domestic Expenditure on R&D. The results suggest that the study should use technology gap variables and the strategy for activating the Technology export of Korea SMEs should be made for future works.

• International Commerce and Information Review
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• v.9 no.4
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• pp.439-460
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• 2007

The purpose of this paper is to study on export factor of Korean into China by 31 Province and City. Using the panel data on Korean export factor in China for the years 1998-2005, we examined the factors determinants of import in China(by region)from Korean firms. This study based on Gravity Model to extend and fixed & random effect Model. The result of analysis is as follows : The effect of significant on Import from Korean is FDI from Korea, export into world, import from world, population in region. But per GRDP, consumption, FDI into world variable is statistically insignificant. Also coastal region variable is not a clear.

• Journal of Korean Society of Steel Construction
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• v.19 no.5
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• pp.455-462
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• 2007

The purpose of this paper is to evaluate experimentally the compressive performance of horizontal joints for light-weight hybrid panel in-filled with light-weight foamed mortar. The parameters include the presence of light-weight foamed mortar, the specific gravity of light-weight foamed mortar (0.8, 1.2), the finishing materials (light-weight foamed mortar, Oriented Strand Board [OSB], gypsum board), and the fixed shape of the hybrid panel. As the improved details for fixed end, the peak strength and the stiffness of the light-weight hybrid panel are enhanced as follows: 1.07-2.7 times in peak load, 15-24 times in initial stiffness. The peak strength of the light-weight hybrid panel obtained by the test result is in agreement with the calculations, which is the criterion value according to the domestic code.

• Korean Journal of Legislative Studies
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• v.23 no.2
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• pp.147-177
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• 2017

Although a number of empirical studies found that political ideology plays a significant role in Korean elections, they entirely rely on cross-sectional data analysis. In contrast to previous research, this study investigates the effects of ideology in the 2012 Korean presidential election through standard panel data analysis. Specifically, using "EAI Panel Study, 2012", the effects of ideology on both candidate evaluation and vote choice were examined via fixed effects, random effects, and pooled regression analysis. And the results from applying the two most popular models of ideological voting, the proximity model and the directional change model were also compared. The results show that candidate evaluations and vote choice during the election (April, 2012- December, 2012) were significantly influenced by the ideological difference between voters and candidates, independent from partisanship and other standard socio-demographic factors. And this ideological voting during the election seems better captured by the directional change model than by the proximity model.