• 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.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.657-664
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• 2020

We investigate the impact of roads and highways within the provinces on the regional trade of China using the augmented Gravity Model and theory of modeling trade. We take a panel data covering 31 provinces of China over 20 years period (1998-2017) for the estimations. We apply ARMA-OLS model, fixed and random effects, and robust findings by Hausman test. The results imply that road and highway lengths within the provinces have a significantly positive impact on the value of the province-wise exports. The positive impact is due to the fact the increased coverage of roads and highways increase accessibility to resources and mobility of goods and services within the regions. Moreover, employment in the transportation sector, per capita GDP and population of the provinces also illustrate positive and significant influence on regional exports and trade. The impact of China's WTO accession on regional exports has been positive, while the financial crisis has had a negative impact. The year dummies show that, in the years following the financial crisis, China was able to regress from the external shock as trade within the provinces increased. The increase in exports after financial crisis is mainly due to the government policies and support to every province.

• Korean Journal of Artificial Intelligence
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• v.7 no.2
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• pp.9-12
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• 2019

With the Chinese government's attention to the artificial intelligence industry, the Chinese government has invested a lot in it recently. Of course, the importance of artificial intelligence industry for China's economic development is increasingly significant. The advent of artificial intelligence boom has also triggered a large number of scientists to analyze the impact of artificial intelligence on economic growth. Therefore, this paper use 31 China's cross-province panel data to study the effect of artificial intelligence on economic growth. Via empirical analyses under a series of econometric methods such as the province and year fixed effect model, the empirical result shows that artificial intelligence has a positive and significant effect on economic growth. Namely, the artificial intelligence is a new engine for economic growth. Meanwhile, the empirical results also indicate that the investment and consumption has a significant and positive effect on economic growth. Oppositely, the inflation and government purchase have a significant negative effect on economic growth. These findings in this paper also provide some important evidences for policy-makers to perform precise behaviors so as to promote the economic growth. Moreover, these finding enriches existing literature on artificial intelligence and economic growth.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.805-836
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• 2017

China has become the group of two (G2) in almost fields including the scientific technology following the economic growth and joining the WTO in 2001. The main reason is that the government had strong intention for the industrialization of the scientific technology and connected the scientific technology and the economy. Typically, for analyzing the cause of the meteoric rise of China, the competitiveness of the scientific technology was analyzed by the entire score of the nation. However, in the case of China, there are differences in the pattern of the development between the eastern, central, and western province. Also, the industrialization and the competitiveness of the scientific technology are difference because each province established the decentralization of power. Therefore, it is more meaningful to analyze the main factors of Chinese economic growth on a province unit. In this study, therefore, we analyzed the competitive of R&D in China by 124 indexes in 31 areas. The data was analyzed by Partial least squares regression analysis. In conclusion, the scale of the area and the ability of R&D of the company are very important factors for total amount of production in the area. And the journals, patents, the transfer of technical know-how and the investment of R&D are main factors of the amount of export on the high-tech product. According to these results, the factors which make the difference in the industrialization and the competitiveness of the scientific technology in China were analyzed. Finally, it will be helpful to establish the policy for the development of the industrialization and the scientific technology in Korea.

• Korea Trade Review
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• v.47 no.5
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• pp.39-57
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• 2022

This study aims to analyze the factors influencing exports of agricultural products(HS01~HS24) from China to Korea by estimating the gravity model with panel data from 31 provinces in China. The results of the empirical analysis from the panel Tobit model are as follows: The effects of GDP and GDP per capita on agricultural exports are reversed, but their impacts are different on exports of each product, notably HS03, HS07 and HS20. As expected, distance decreases Chinese agricultural exports, and the impact of the relative exchange rate variable is also statistically significant, although it differs from product to product. However, differences in latitude, which considers the heterogeneity of climate and agricultural production conditions between Korea and each Chinese region, does not seem to affect agricultural exports to Korea. The road length, which affects the logistical conditions of each province in China, is not statistically significant either. On the other hand, increases in the number of Chinese visitors to Korea raises the amount of Chinese agricultural exports, including exports of HS03 and HS20. The results also shows that after the Korea-China FTA agreements, agricultural exports have actually decreased, especially exports of non-processed agricultural products, such as HS07.

• Korean Journal of Plant Resources
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• v.14 no.1
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• pp.24-31
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• 2001

The medicinal constituents contained in Cinidil Rhizoma and Angelicae Radix cultivated in Korea and China, were compared by confirming their qualities. From Cinidil Rhizoma and Angelicae Radix cultivated in Korea and China, butyl phthalide, senkyunolide, and ligustilide etc. phthalides were identified by GC/CMS analysis. Through GC/FID analysis, the senkyunolide content of Cinidil Rhizoma cultivated in Korea was similar to that cultivated in China. The ligustilide content of Ciniail Rhizoma cultivated in Korea was more than that cultivated in China, except for one cultivated at Ankuk province. In the case of Angelicae Radix, the ligustilide content of that cultivated in Korea was more than one cultivated at Yeungil province in China. As for quality, Cinidil Rhizoma and Angelicae Radix cultivated in Korea were better than those cultivated in China since Chinese products possessed more butilidene phthalide photo-decomposed from ligustilide, caused by long storage during the circulation processes, than that of the domestic products.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.12
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• pp.1939-1945
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• 2018

Objective: This study was conducted with the objectives to examine the impacts of inorganic selenium (Se) and different types and levels of organic selenium on the serum and tissues Se status and antioxidant capacity in broiler breeders. Methods: Five hundred and forty 48-wk-old Lingnan Yellow broiler breeders were randomly assigned to 6 dietary treatments, provided same basal diet (0.04 mg/kg of Se) with 0.15 mg/kg, or 0.30 mg/kg of Se from sodium selenite (SS) or from selenium-enriched yeast (SY) or from selenomethionine (SM). The broiler breeders were slaughtered after an 8-wk experiment. Results: The results showed that SM was better than SY and SS, 0.30 mg/kg level was better than 0.15 mg/kg level in Se deposition (p<0.05) in serum, liver, kidney, pancreas and muscle; in antioxidant status, organic selenium had better effects than SS in broiler breeders (p<0.05), but SM and SY had a similar result, and 0.15 mg/kg level was better than 0.30 mg/kg (p<0.05). Conclusion: The results demonstrated the evident advantage of supplementation of broiler breeders with 0.15 mg/kg SM, which improved tissue Se concentrations and antioxidant status, and can be considered as the best selenium source.

• Current Optics and Photonics
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• v.3 no.5
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• pp.466-472
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• 2019

A system for continuous-wave coherent Doppler lidar (CW lidar), made up of all-fiber structures and a coaxial transmission telescope, was set up for wind measurement in Hefei (31.84 N, 117.27 E), Anhui province of China. The lidar uses a fiber laser as a light source at a wavelength of $1.55{\mu}m$, and focuses the laser beam on a location 80 m away from the telescope. Using the CW lidar, radial wind measurement was carried out. Subsequently, the spectra of the atmospheric backscattered signal were analyzed. We tested the noise and obtained the lower limit of wind velocity as 0.721 m/s, through the Rayleigh criterion. According to the number of Doppler peaks in the radial wind spectrum, a classification retrieval algorithm (CRA) combining a Gaussian fitting algorithm and a spectral centroid algorithm is designed to estimate wind velocity. Compared to calibrated pulsed coherent wind lidar, the correlation coefficient for the wind velocity is 0.979, with a standard deviation of 0.103 m/s. The results show that CW lidar offers satisfactory performance and the potential for application in wind measurement.

• Industry Promotion Research
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• v.9 no.1
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• pp.259-273
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• 2024

In this study, 31 provincial-level administrative regions in China from 2011 to 2021 were taken as the research objects, and the super-SBM model was used to measure the regional eco-efficiency with capital, labor, land and resource input as input variables, GDP and green coverage as the desirable outputs, and wastewater, waste gas and solid waste emissions as the undesired outputs. Tobit regression was used to analyze the effects of external environmental factors on eco-efficiency. The results showed that the average level of eco-efficiency in China was low, and the eco-efficiency in the eastern region was higher than that in other regions, and there were great differences in the western, northeast and central regions.

• The Journal of Industrial Distribution & Business
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• v.12 no.9
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• pp.31-42
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• 2021

Purpose: After the reform and opening up, China's overall economic development has entered a new era. From mutual investment and trade transactions between domestic provinces and regions to investment and trade with foreign companies, the continuous supplement of investment funds makes the follow-up development of all aspects of economic development smoother and has played a strong impetus. effect. Foreign direct investment has many influences on the economic development of a country or region. Research design, data and methodology: This article uses the sample data of Shandong Province from 2011 to 2019 to analyze the foreign direct investment in Shandong Province by industry, region, method and other aspects, and study the relationship and influence between foreign direct investment and economic growth. Results: The results show that there is a relatively close relationship between foreign direct investment and economic growth, and it has played a role in promoting economic development in many aspects such as industrial structure, foreign trade, and employment. Conclusions: At the same time, corresponding suggestions are put forward based on the analysis and conclusions drawn.