• 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 Society of Preventive Korean Medicine
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• v.22 no.1
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• pp.1-14
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• 2018

Objectives : This study aimed to analyze the characteristics of uninsured herbal medicine(UHM) users and the economic and social barriers of UHM utilization. Methods : We used the Korea Health Panel Data, representative national survey on medical utilization and cost, provided by National Health Insurance Service and Korea Institiute of Health and Social Affairs. The frequency analysis was used to identify the characteristics of the respondents, and the cross-analysis (${\chi}^2-test$) was used to verify the relationship between their characteristics and the usage of UHM. In order to analyze the determinants of using the UHM considering the individual's characteristics, logistic regression analysis and multiple regression analysis were conducted for those who used the Korean medicine (KM) outpatient service in 2015. Results : The usage of UHM was significantly lower for those (1) who's age of 20 to 65; (2) who have the university or higher education degree; (3) who live in Jeju province, and (4) who bought the herbal medicine for other health related purposes. On the other hand, the usage of UHM for those (1) who have the first quintile of household income; (2) who have the chronic respiratory disease; (3) who have been taking the medicine for health promotion purpose for more than 3 months and (4) who have purchased the food which has health promotion function was significantly higher than others. The patients who have chronic musculoskeletal diseases accounted the most among the UHM users. Conclusions : There was the considerable inequality in the usage of UHM among household income groups, which provides policy rationale for UHM to be covered by national health insurance. To facilitate the coverage expansion, restrictive covering model can be considered for children and adolescents, or for patients with muskuloskeletal diseases who have the high demand for UHM.

• (The)Korea Educational Review
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• v.24 no.3
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• pp.167-189
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• 2018

Using the 1st to 5th wave data from Gyeonggi Education Panel Study(GEPS), this study analyzed the change of school effectiveness of middle schools by innovation school expansion in Gyeonggi province. For this purpose, the analysis employed difference-in-difference model with repeated cross-sectional data and the dependent variable was comprised of academic achievement, school satisfaction, creativity, and sense of community. Results showed that the effectiveness of innovation schools had not significantly different from general schools before innovation school expansion but significantly improved in academic achievement and school satisfaction compared to general schools after the policy applied. On the other hand, the school effectiveness in creativity and sense of community not significantly different between innovation and general schools in both before and after. As time passes, the effectiveness of existing innovation schools in the academic achievement was improved and the school satisfaction was maintained. In addition, the effectiveness in satisfaction of the schools was improved as general schools with high effectiveness in academic achievement were transformed into innovation schools. Based on the results, the policy for innovation school expansion was evaluated and the issues related to this policy were discussed.