• Korea Trade Review
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• v.41 no.4
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• pp.41-59
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• 2016

Given the increasing importance of entrepreneurship in a nation's economic growth, this study empirically examined the effect of entrepreneurial behavior and environment on economic growth based on country level data. While previous studies have centered on entrepreneurship as a dominant variable that impacts economic growth, this study has extends the discussion by empirically testing the effects of two entrepreneurial variables, which are entrepreneurial behavior and entrepreneurial environment, on economic growth. Furthermore, the study attempted to examine the moderating effects of trade and innovation on the relation between the independent variables and economic growth. According to the panel analysis using data from GEM and World Bank, both entrepreneurial behavior and environment affected national economic growth, completely or partly. Results showed that opportunity-driven entrepreneurial behavior has a significant effect on economic growth, suggesting that qualitative aspect of entrepreneurial activities are critical to economic growth. The results also indicated that both trade and innovation have significant moderating effects on the relationship between governmental support program and economic growth.

• Journal of Families and Better Life
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• v.26 no.1
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• pp.51-67
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• 2008

The study analyzes divorce rates in Korea and makes suggestions for the future research of divorce rates. Based on the data from Korea Statistical Information System (KOSIS) of the National Statistics Organization, trends for divorce rates change and the relations between divorce rates and macro environmental factors are analyzed. Macro environmental factors include socioeconomic factors such as, Korean War, Vietnam War, oil shock, IMP economic crisis and gross national income (GNI), whereas demographical factors include population structure, rates of female labor participation, and geographical location. The principle characteristics of divorce rates are as follows: 1) the Crude divorce rates (CDR) and the number of divorced had been increased from 1970 to 2004, then the trend changed to a decrease; 2) the slope of the change were the highest during 1998 to 2004 after the IMP economic crisis. The relations between socioeconomic factors are as follows: 1) during the war there was a small increase of CDR for a short period of time; 2) the economic crisis of the nation tend to increase the CDR, while the IMP economic crisis had a strong impact on an increase of CDR because of the interaction effect among the population structure, women's sex role changes as well as the level of standard of living. The increase in CDR from 1990 to 2000 can be explained partly by the population of baby Boomers passing through their marriage and divorce process. The number of population residing in the rural area and the middle class households, and the mobility of population also had an impact on the divorce rates changes. The recommendations for the future research were as follows: 1) the need to develop new divorce statistics that are based on a marriage cohort or a birth cohort because family behavior is a mixture of personal, social and political responses, and because CDR is not an accurate measure of divorce rate since it was influenced by population structure; 2) the need to include micro personal factors as well as macro social factors in a model to find an interaction effect between those variables.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.267-272
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• 2020

Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

• Health Policy and Management
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• v.26 no.1
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• pp.63-70
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• 2016

Background: Selective health benefit was introduced for decreasing economic burden of patients. Medical devices with economic uncertainty have been covered as selective health benefit by National Health Insurance since December 2013. We aimed to analyze impact of selective health benefit to medical expenditure and provider behavior focused on electrosurgery (ultrasonic shears, electrothermal bipolar vessel sealers) for gastric cancer patients covered since December 2014. Methods: We used the National Health Insurance claims data of 2,698 patients underwent gastric cancer surgery between August 2014 and March 2015. Medical cost and patient sharing per inpatient day were analyzed to verify that covering electrosurgery increased medical expenditure and changed provider behavior from open surgery to endoscopic or laparoscopic surgery. Additionally, we analyzed the claim rate of medical device or goods relating gastric endoscopic and laparoscopic surgery. Results: Medical cost and patient sharing per inpatient day were increased after covering electosurgery as selective health benefit (39,724/1,421 won). However, there were no medical expenditure increases after adjusting claim of electosurgery and patient sharing was decreased 1,057 won especially. The coverage of selective health benefit did not increase the claim rate of medical device or goods related endoscopic or laparoscopic surgery, either. Conclusion: Covering electosurgery decreased patient economic burden and did not change of provider behavior. Expanding selective health benefit is needed to decrease economic burden of severe patients. Further study should evaluate the long term effect with accumulated data.

• Journal of Family Resource Management and Policy Review
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• v.20 no.1
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• pp.159-182
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• 2016

The purpose of this study was to investigate the relationship between household income, consumption wants for education, private education expenses, and old-age economic preparation behaviors in mothers with school-aged children. The participants in this study comprised 393 mothers living with children aged 8.19 in Daegu. All participants had wage-earning husbands. A questionnaire was used to collect the data. Factor analysis was conducted using SPSS and structural regression analysis was performed using AMOS. The main results of this study were as follows: The participants' old-age economic preparation behaviors were influenced by their household income, the proportion of private education expenditures they paid, and the perceived burden the participants had of these private education expenditures. The consumption wants for education in mothers with school-aged children had no significant impact on the proportion of private education expenditures paid by the participants. Household income, proportion of private education expenditures, and perceived burden of the private education expenditures had a direct effect on the old-age economic preparation behaviors of the participants. When the perceived burden of the private education expenditures was mediated, the consumption wants for education in mothers with school-aged children had an indirect effect on their old-age economic preparation behaviors.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.61-70
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• 2020

The 4th Industrial Revolution is a revolutionary change through intelligence, big fusion and personalization, and the importance of sensor technology that is the basis of core technology is emerging. This study empirically analyzes the derivation of national strategy for R&D of sensor technology, and draws out the effect of technology internalization effort through strategic R&D activities on technical performance and further on national economy. The research and development results are calculated for each type of technology internalization, and the results of the research and development are verified to establish a structure that contributes to the national economic performance. As a national technology internalization strategy, considering its own R&D investment and joint research and development, we examine the impact of each factor on patents and GDP, focusing on causality and ripple effects. For causality analysis, Grandeur causality analysis shows that R&D investment and joint research and development in all countries have mutual causal relationship with GDP. The implications are as follows. First, it is necessary to establish the policy of national economic development through the internalization of technology and knowledge. Second, it is necessary to establish policies according to the type of knowledge internalization. Third, it will be necessary to create an ecosystem environment based on a virtuous relationship between knowledge internalization and national technology and economic development.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2004.05a
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• pp.353-358
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• 2004

In recent, the trends in national energy Policy are established in the context of the integrated risk estimation for various national electricity generating options. The approach takes account of health, environmental, economic, and social aspects of electricity generation systems. In the present work, nuclear, coal, and LNG sources are chosen because these hold more than 90% of national total electricity generation in a descending order. A life cycle assessment (LCA) methodology is used for comparing environmental impacts of these options during the life cycle such as construction, operation as well as disposal stages. Here, the LCA consists of life cycle inventory analysis, classification/selection process of impact categories, characterization process, and normalization process of each category. LCA can be an useful tool for environmental impact assessment of future national energy options. At the planning stage of future energy Policies, the results of LCA would be taken into consideration. According to data update at the construction and disposal stages, the LCA needs to be conducted iteratively.

• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.317-334
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• 2008

Port industry has achieved a remarkable growth with a help from increase in container shipment and above all, transshipment that reflects international competitive power of Port industry amounts to 36% of the national harbor shipment. Therefore, this study speculates the impact of Port industry on national economy using the inter-industry relation table. As it considers the reason why international competitive power in Port facilities decreased as absence of investment, it is to present an effective investment plan for Port industry. Though Port industry as one of main national key industries play an important role in production of national economy, it has been evaluated as having relatively less importance. And when Port industry is managed independently, relying on foreign countries without improvement, price increase due to improper agreement of foreign enterprises and problems relating to securing safe transportational vehicles will have tremendous impact on national economy. And they should try to create added-value and support re-export of the exported and imported shipment through their processing and packaging by making Port zones bonded area. production of national economy, it has been evaluated as having relatively less importance. And when Port industry is managed independently, relying on foreign countries without improvement, price increase due to improper agreement of foreign enterprises and problems relating to securing safe transportational vehicles will have tremendous impact on national economy. And they should try to create added-value and support re-export of the exported and imported shipment through their processing and packaging by making Port zones bonded area.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.17-22
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• 2019

The rapid development of artificial intelligence technology has exerted a great influence on all fields of the world, which of course also affects the world economy. This has also aroused a large number of economists' interest in this proposition. Since the definition of artificial intelligence is not unified yet, the results from previous researches are not reliable enough. At present, most scholars use the neoclassical growth model or task-based model to explore the path of artificial intelligence on economic variables. There into, most of them use the degree of automation to represent the artificial intelligence. They find that the degree of automation can change the proportion of industries. This only verifies that artificial intelligence can affect the economic variables. But the magnitude of artificial intelligence on economic variables can not be correctly estimated. Therefore, in order to have a better understanding on the impact of artificial intelligence on economic growth, this paper systematically reviews and collates previous literature on this topic. The results of this paper indicate that both in theoretical and empirical studies, artificial intelligence has a positive effect on economic growth. Then, some suggestions and limitations have also been put forward accordingly.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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• pp.618-630
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• 2013

This study investigates the influence of consumption value on attitude and the repurchase intention of secondhand fashion goods. In addition, this study examines the effect of consumption value on attitudes according to self-confidence in fashion coordination. Questionnaire data from 220 university students who made purchases of secondhand fashion goods were analyzed. The results were as follows. First, there were 5 factor solutions for the consumption value of secondhand fashion goods: rare value, emotional value, functional value, social contribution value, and economic value. Second, rare value, social contribution value and economic value had a positive impact on the attitude toward secondhand fashion goods. Third, attitude had positive impact on the repurchase intention of secondhand fashion goods. Fourth, there was a significant difference in the magnitude of the effect of consumption value on attitude according to self-confidence in fashion coordination. The results of this study provide various guidelines for marketers or retailers who are interested in secondhand fashion goods.