• KDI Journal of Economic Policy
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• v.28 no.2
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• pp.51-96
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• 2006

Two conditions should be satisfied if fiscal policy is to stabilize economic cycles; proper policy timing and significant policy effect. This paper evaluates whether the policy timing has been proper in Korea by investigating the correlation between fiscal policy stance and economic conditions. We first calculate quarterly FIs (Fiscal Impulse) using the estimated potential GDP and fiscal balance data. Based on these indices, we 1) analyze how FIs respond to the economic conditions summarized in GDP gap through regression analysis, 2) compare average FIs in expansionary and recessionary periods according to the NSO's economic cycles, 3) evaluate fiscal policy maker's perception of economic conditions and its intention by reviewing the budget proposals. Although regression analysis shows that overall fiscal policy, especially expenditure side, has properly responded to economic conditions, average FIs do not show the significant difference between expansionary and recessionary periods. It is inconclusive whether the fiscal policy timing has been proper. Budget proposals show that actual fiscal policy stance has been sometimes inconsistent with the policy intention, which implies that it is hard to utilize fiscal policy actively to stabilize the economy.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.907-937
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• 2018

This study analyzed the policy decision process of the International Science Business Belt (ISBB) applying multiple stream model combining Kingdon (2013) and Howlett et al. (2014) models. We looked at what socio-political factors influenced the process and sought to find ways to promote the project of ISBB and the policy of basic science in the future. As a concrete analysis, the policy decision process was divided into policy, policy formation, and implementation policy, and the streams of problem, process, policy and politics, policy window, and policy participant were used as variables. As a result of the analysis, the stream of politics and the role of the policy-entrepreneur played an important role in the policy decision process. Politicians and government officials were more involved than the scientists.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.2
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• pp.219-227
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• 2021

This study aimed to determine the importance of the policies formulated through the Ministry of Maritime Affairs and Fisheries' master plan for Seafarer's policy. To confirm the importance of the Seafarer's policy, AHP analysis was conducted on the 3 main policies and 15 auxiliary policies established by the master plan for Seafarer's policy. To analyze the reliability of the survey, we investigated the inconsistency ratio of 34 respondents retrieved. We found that 25 respondents validated the reliability of the findings. The analysis showed that the policy of establishing a stable supply and demand system was the most important among the main policies for seafarers, while the policy of fostering seafarers linked to jobs was the most important one among the auxiliary policies. By group, the government recognized establishing a stable supply and demand system as a priority of policy. Dif erences were found on the fact that improving working conditions and expanding welfare were important for seafarers. This study, which analyzed the importance of the Seafarer's policy through AHP analysis, has the following implications. We established guidelines to enhance efficiency, such as budget allocation by policy according to the importance in implementing Seafarer's policies. Furthermore, our study can be used as basic data for establishing a master plan for Seafarer's policy by comparing differences in importance per group.

• Journal of the Korean Society of Systems Engineering
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• v.20 no.spc1
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• pp.12-29
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• 2024

The purpose of this study is to identify the social issues discussed in Korea regarding Maritime Autonomous Surface Ships (MASS), the most advanced ICT field in the shipbuilding industry, and to suggest policy implications. In recent years, it has become important to reflect social issues of public interest in the policymaking process. For this reason, an increasing number of studies use media data and social media to identify public opinion. In this study, we collected 2,843 domestic media articles related to MASS from 2017 to 2022, when MASS was officially discussed at the International Maritime Organization, and analyzed them using text mining techniques. Through term frequency-inverse document frequency (TF-IDF) analysis, major keywords such as 'shipbuilding,' 'shipping,' 'US,' and 'HD Hyundai' were derived. For LDA topic modeling, we selected eight topics with the highest coherence score (-2.2) and analyzed the main news for each topic. According to the combined analysis of five years, the topics '1. Technology integration of the shipbuilding industry' and '3. Shipping industry in the post-COVID-19 era' received the most media attention, each accounting for 16%. Conversely, the topic '5. MASS pilotage areas' received the least media attention, accounting for 8 percent. Based on the results of the study, the implications for policy, society, and international security are as follows. First, from a policy perspective, the government should consider the current situation of each industry sector and introduce MASS in stages and carefully, as they will affect the shipbuilding, port, and shipping industries, and a radical introduction may cause various adverse effects. Second, from a social perspective, while the positive aspects of MASS are often reported, there are also negative issues such as cybersecurity issues and the loss of seafarer jobs, which require institutional development and strategic commercialization timing. Third, from a security perspective, MASS are expected to change the paradigm of future maritime warfare, and South Korea is promoting the construction of a maritime unmanned system-based power, but it emphasizes the need for a clear plan and military leadership to secure and develop the technology. This study has academic and policy implications by shedding light on the multidimensional political and social issues of MASS through news data analysis, and suggesting implications from national, regional, strategic, and security perspectives beyond legal and institutional discussions.

• Proceedings of the Korean Society of Health Policy and Administration Conference
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• 2005.12a
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• pp.362-363
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• 2005

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.64-91
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• 2018

This study explores the interactive pattern among social issue, academic research, and governmental policy on science and technology during the last 20 years. In particular, we try understand wether the science and technology policy research and governmental policy meets social needs appropriately. In order to do this, we have collected text data from news articles, papers, and governmental documents. Based on these data, social network analysis and cluster analysis has been carried out. According to the results, we have found that science and technology policy researches tend to focus on fragmented technological innovation meeting urgent practical needs at the initial stage. However, recently, the main characteristics of science and technology policy research shows co-evolutionary patterns responding to society. Furthermore, time lag also has been observed in the process of interaction among the three bodies. Based on these results, we put forward some suggestions for upcoming researches in science and technology policy. Firstly, analysis levels are needed to be shifted from micro level to mezo or macro level. Secondly, more research efforts are required to be focused on policy process in science technology and its public management. Finally, we have to enhance the sensitiveness to social issues through studies on agenda setting in science and technology policy.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.2
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• pp.280-287
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• 2011

The purpose of this study is to analyze that ordinary housing stability policy determines the impact on housing prices. I got a conclusion such as the result next which carried out proof analysis for this. First, as a result of the Granger Causality Test, the house market of all areas appeared by affecting ordinary housing stability policy. Second, the shock reaction shows the reaction of the department (-) in all areas and ordinary housing stability policy appeared to be contributed to some extent house market stability. Third, as a result of having analyzed Logit Regression Analysis, ordinary housing stability policy appeared to considerable effects house market stability except Kangnam area of the Roh Moo-hyun government.

• Health Policy and Management
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• v.19 no.4
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• pp.33-52
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• 2009

Health promotion policies have needed to assess in detailed and evidence-based work to set a policy goal and clear future directions of health promotion in Korea. To identify the major factors related with health promotion, we assessed the associations between public health outcome (potential years of life loss, PYLL) and national health determinants. For this purpose, we used a pooled cross sectional time-series regression analysis with corrected fixed effect models involving sixteen member countries of the Organisation for Economic Cooperation and Development during the period 1970 to 2001. The PYLL was positively associated with tobacco and alcohol consumption (model 1 and 2) and calories intake (model 2 and 3) while the PYLL was negatively associated with GDP, fruit and vegetable intake (model 2), number of doctors (model 3), coverage rates of health care security, and elderly population rates (model 4). In conclusion, health behaviors related with tobacco, alcohol, and nutrition were significant health determinants for health outcome. Overall analysis results of this study will provide a guidance toward improved macro- and micro-policy development for future health promotion policy in Korea.

• Journal of Korean Society of Rural Planning
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• v.26 no.4
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• pp.93-105
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• 2020

This study is an experimental study that examines the policy attributes that local governments should choose to manage the quality of life of rural residents. The analysis data used raw materials for the survey of the welfare status of farmers and fishermen surveyed by the Rural Development Administration. The analysis method used Quantile Regression. The policy attributes of public services were interpreted on the basis of Peterson (1981)'s theory of policy types and the discussion of Holland (2015). According to the analysis results, the higher the quality of life, the greater the importance of the relationship between the safety sector and the neighbors. The effective policy attributes for improving quality of life in rural areas are the policies of local governments where policy benefits can directly go to individuals, or lead to social improvement. It shows that the higher the level of safety and the quality of life of our neighbors, the greater its importance.

• The Journal of Bigdata
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• v.8 no.1
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• pp.35-47
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• 2023

It is crucial to develop effective and efficient big data analytics methods for problem-solving in the field of business in order to improve the performance of data analytics and reduce costs and risks in the analysis of customer data. In this study, a big data-driven data analysis system using artificial intelligence techniques is designed to increase the accuracy of big data analytics along with the rapid growth of the field of data science. We present a key direction for big data analysis systems through missing value imputation, outlier detection, feature extraction, utilization of explainable artificial intelligence techniques, and exploratory data analysis. Our objective is not only to develop big data analysis techniques with complex structures of business data but also to bridge the gap between the theoretical ideas in artificial intelligence methods and the analysis of real-world data in the field of business.