• Journal of Contemporary Eastern Asia
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• 제17권2호
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• pp.176-198
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• 2018

Environmental issues are among the most critical issues nowadays. These issues are no longer confined to individual countries, and international society has been progressing in building global dialogues since the early 1970s. Within these international efforts, Germany and Japan have played essential roles in global environmental governance. However, there are major differences in nation-level environmental policies in both countries. Governance based on network structure is more efficient than that based on hierarchy for solving complex problems. The network structure is formed through horizontal cooperation among various autonomous actors, and the relationship intensity among actors is one of the key concepts in the governance. Using social network analysis as a framework to explain complicated societal structures explains how interaction among actors creates networks, and these networks further affect their interactions. The purpose of this study is to investigate the structure of environmental policy governance as collaborative governance in Germany and Japan. To address this goal, this paper analyzes the relationship between the informational dimension of governance networks and its complement resource-sharing networks in both countries. The results show that the information-sharing networks have lower-level network influence on the resource-sharing networks as higher-level networks even if not all of the information factors have singular influences. The results suggest that the information-sharing networks may be one of the pieces of the puzzle for explaining this phenomenon in environmental governance in Germany and Japan.

• 방송공학회논문지
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• 제25권6호
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• pp.854-860
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• 2020

심층 신경망은 영상 분류 그리고 음성 인식 등 다양한 분야에서 뛰어난 성능을 보여주었다. 그 중에서 데이터 증대를 통해 생성된 다양한 데이터는 신경망의 성능을 향상하게 시키는 데 중요한 역할을 했다. 일반적으로 데이터의 변형을 통한 증대는 신경망이 다채로운 예시를 접하고 더 일반적으로 학습되는 것을 가능하게 했다. 기존의 영상 분야에서는 신경망 성능 향상을 위해 새로운 증대 방법을 제시할 뿐만 아니라 데이터와 신경망의 구조에 따라 변화할 수 있는 최적의 데이터 증대 방법의 탐색 방법을 제안해왔다. 본 논문은 이에 영감을 받아 음향 분야에서 최적의 데이터 증대 방법을 탐색하는 것을 목표로 한다. 잡음 추가, 음의 높낮이 변경 혹은 재생 속도를 조절하는 등의 증대 방법들을 다양하게 조합하는 실험을 통해 경험적으로 어떤 증대 방법이 가장 효과적인지 탐색했다. 결과적으로 자연 음향 데이터 세트 (ESC-50)에 최적화된 데이터 증대 방법을 적용함으로써 분류 정확도를 향상하게 시킬 수 있었다.

• Journal of Contemporary Eastern Asia
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• 제18권2호
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• pp.90-117
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• 2019

How is science advice integrated in environmental policymaking? This is an increasingly pertinent question that is being raised since the nuclear catastrophe of Fukushima, Japan, in 2011. Global re-evaluation of energy policies and climate mitigation measures include discussions on how to better integrate science advice in policymaking, and at the same time keeping science independent from political influence. This paper addressed the policy discourse of setting up a national CO2 reduction target in Japanese policymaking between 2009 and 2012. The target proposed by the former DPJ government was turned down, and Japan lacked a clear strategy for long-term climate mitigation. The analysis provides explanations from a quantitative actor-network perspective. Centrality measures from social network analysis for policy actors in an environmental policy network of Japan were calculated to identify those actors that control the discourse. Data used for analysis comes from the Global Environmental Policy Actor Network 2 (GEPON 2) survey conducted in Japan (2012-13). Science advice in Japan was kept independent from political influence and was mostly excluded from policymaking. One of the two largest discourse coalitions in the environmental policy network promoted a higher CO2 reduction target for international negotiations but favored lowering the target after a new international agreement would have been set. This may explain why Japan struggled to commit to long-term mitigation strategies. Applying social network analysis to quantitatively calculate discourse coalitions was a feasible methodology for investigating "discursive power." But limited in discussing the "practice" (e.g. meetings, telephone, or email conversations) among the actors in discourse coalitions.

• 한국대기환경학회지
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• 제23권5호
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• pp.526-538
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• 2007

Since air quality monitoring data sets are important base for developing of air quality management strategies including policy making and policy performance assessment, the environmental protection authorities need to organize and operate monitoring network properly. Air quality monitoring network of Busan, consisting of 18 stations, was allocated under unscientific and irrational principles. Thus the current state of air quality monitoring networks was reassessed the effect and appropriateness of monitoring objectives such as population protection and sources surveillance. In the process of the reassessment, a GIS-based decision support system was constructed and used to simulate air quality over complex terrain and to conduct optimization analysis for air quality monitoring network with multi-objective. The maximization of protection capability for population appears to be the most effective and principal objective among various objectives. The relocation of current monitoring stations through optimization analysis of multi-objective appears to be better than the network building for maximization of population protection capability. The decision support system developed in this study on the basis of GIS-based database appear to be useful for the environmental protection authorities to plan and manage air quality monitoring network over complex terrain.

• 한국환경과학회지
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• 제20권1호
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• pp.81-91
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• 2011

Air quality monitoring networks are very important facilities to manage urban air pollution control and to set up an environmental policy. Since air quality monitoring network of Daegu was allocated from 1980s to mid-90s, there is need to reevaluate it and relocated its site. This study was evaluated the position of Daegu air quality monitoring station by unit environmental sensitivity index, grid emission rate, CAI (Comprehensive Air-quality Index) point. The investigation domain covered an area of 16 $\times$ 24 km centered at the metropolitan area of Daegu with grid spacing of 2 km. The location of alternative air quality monitoring networks was selected through optimization and quintiles analysis of total score. The result showed that all things considered, new air quality monitoring network need to install grid numbers 10, 28, 36, 37, 46. We also recommand three scenarios of alternative air quality monitoring network when considering unit environmental sensitivity index, emission rate and CAI point.

• 사회복지연구
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• 제42권4호
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• pp.61-102
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• 2011

본 연구는 정책네트워크모형과 옹호연합모형을 결합하는 통합적 분석틀을 통하여 의료보험조합 통합일원화 논쟁의 정치적 동태성을 분석하고자 하는 것이다. 이를 위하여 본 연구는 환경적 맥락, 정책 네트워크, 옹호연합, 그리고 정책산출로 이어지는 체계적이고 과정지향적인 관점에 입각하여 분석틀을 구축하였다. 연구범위는 1980년대 초부터 촉발되어 20년 이상에 걸쳐서 진행된 통합일원화 논쟁의 전 과정이다. 그리고 본 연구에서는 논쟁의 과정을 1980년대 초반의 제1차 의보통합논쟁, 1980년대 후반의 국민의료보험법 제정, 1990년대 중반 김영삼 정부하의 의료보험조합 부분통합, 그리고 1990년대 말 이후 김대중 정부 하에서 종결된 의료보험조합의 완전통합이라는 네 단계로 구분하고, 각 단계별로 정책형성의 동태성을 비교 분석하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.403-411
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• 2021

This study discusses the influence of economic factors on the clothing exports from China and 15 South and Southeast Asian countries to the United States. A basic gravity trade model with three predictors, including the GDP value produced by exporting and importing countries and their geographical distance was established to explain the bilateral trade patterns. The conventional approach of multiple regression and the novel approach of Artificial Neural Networks (ANNs) were developed based on the value of clothing exports from 2012 to 2018 and applied to the trade pattern prediction of 2019. The results showed that ANNs can achieve a more accurate prediction in bilateral trade patterns than the commonly-used econometric analysis of the basic gravity trade model. Future studies can examine the predictive power of ANNs on an extended gravity model of trade that includes explanatory variables in social and environmental areas, such as policy, initiative, agreement, and infrastructure for trade facilitation, which are crucial for policymaking and managerial consideration. More research should be conducted for the examination of the balance between developing countries' economic growth and their social and environmental sustainability and for the application of more advanced machine-learning algorithms of global trade flow examination.

• Journal of Contemporary Eastern Asia
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• 제15권1호
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• pp.41-63
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• 2016

Energy policy is known to have higher path dependency among policy fields (Kuper and van Soest, 2003; OECD, 2012; Kikkawa, 2013) and is a critical component of the infrastructure development undertaken in the early stages of nation building. Actor roles, such as those played by interest groups, are firmly formed, making it unlikely that institutional change can be implemented. In resource-challenged Japan, energy policy is an especially critical policy area for the Japanese government. In comparing energy policy making in Japan and Germany, Japan’s policy community is relatively firm (Hartwig et al., 2015), and it is improbable that institutional change can occur. The Japanese government’s approach to energy policy has shifted incrementally in the past half century, with the most recent being the 2012 implementation of the “Feed-In Tariff Law” (Act on Special Measures Concerning Procurement of Renewable Electric Energy by Operators of Electric Utilities), which encourages new investment in renewable electricity generation and promotes the use of renewable energy. Yet, who were the actors involved and the factors that influenced the establishment of this new law? This study attempts to assess the factors associated with implementing the law as well as the roles of the relevant major actors. In answering this question, we focus on identifying the policy networks among government, political parties, and interest groups, which suggests that success in persuading key economic groups could be a factor in promoting the law. Our data is based on the “Global Environmental Policy Network Survey 2012-2013 (GEPON2)” which was conducted immediately after the March 11, 2011 Great East Japan Earthquake with respondents including political parties, the government, interest groups, and civil society organizations. Our results suggest that the Feed in Tariff (FIT) Law’s network structure is similar to the information network and support network, and that the actors at the center of the network support the FIT Law. The strength of our research lays in our focus on political networks and their contributing mechanism to the law’s implementation through analysis of the political process. From an academic perspective, identifying the key actors and factors may be significant in explaining institutional change in policy areas with high path dependency. Close examination of this issue also has implications for a society that can promote renewable and sustainable energy resources.

• 한국환경과학회지
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• 제28권9호
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• pp.797-806
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• 2019

The purposes of this study are to comprehend the importance of policy in improving the operation of the public arboretum and survey the program satisfaction of participants and operators based on the case of the Daegu arboretum. According to the order of policy priority regarding the Daegu arboretum, the expansion of the education program topped the list with 0.155 points, followed by the establishment of a vision and goal, and the reestablishment of function, which scored 0.135 and 0.135 points, respectively. Fostering citizens' participation through volunteer work was in the upper ranks with 0.131 points. Building networks among public arboretums and constructing a research cooperation system with universities turned up with 0.09 and 0.075 points. As the result of program satisfaction, participants' satisfaction was around 0.66 points higher than that of operators' satisfaction. In the case of participants, comprehensive satisfaction, including that with the program operation method, was very high at 4.85 points. Out of the entire program, the operators were the most satisfied with the benefits. This study aims to share improvement plans for public arboretums constructed in urban areas, analyzing policy priorities and satisfaction related to the Daegu arboretum. The results of this study can be utilized as data for the improvement plans of public arboretums. If improvement plans for public arboretums are modeled with other follow-up case studies, it will help ensure that public arboretums become evolving rather than fixed areas for citizens.

• 에너지공학
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• 제29권1호
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• pp.85-99
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• 2020

본 논문은 한국의 환경기업을 대상으로 산업혁신체제(Sectoral System of Innovation, SSI)를 구성하는 기술체제·시장수요·네트워크·제도 등의 요소가 제품·공정·조직·마케팅·환경 등의 혁신성과에 미치는 영향을 분석한다. 이를 위해 한국 환경기업을 대상으로 설문조사를 실시하였으며, 201개 기업의 응답자료를 대상으로 다중회귀분석을 실시하였다. 분석의 결과, ① 한국 환경기업의 제품혁신은 환경SSI 요소 중 내부기술축적과 시장수요 대응정도 등에 의해서 긍정적인 영향을 받고 있는 반면, 외부지식활용, 시장경쟁, 시장주체 간과 비시장주체 간 네트워크, 정부지원과 규제 등에 의해서는 영향을 받지 않는 것으로 나타났다. ② 공정혁신은 내부기술축적, 비시장주체 간 네트워크, 규제 등에 의해서 긍정적인 영향을 받고 있으나, 외부지식활용, 시장수요 대응정도, 시장경쟁, 시장주체 간 네트워크, 정부지원 등에 의해서는 영향을 받지 않는 것으로 나타났다. ③ 조직혁신은 내부기술축적, 외부지식활용, 규제 등에 의해서 긍정적인 영향을 받고 있는 반면, 시장수요 대응정도, 시장경쟁, 시장주체 간 및 비시장주체 간 네트워크, 정부지원 등에 의해서는 영향을 받지 않는 것으로 나타났다. ④ 마케팅혁신은 내부기술축적, 비시장주체 간 네트워크, 정부지원 등에 의해서 긍정적인 영향을 받고 있는 반면, 외부지식활용, 시장수요 대응정도, 시장경쟁, 시장주체 간 네트워크, 규제 등에 의해서는 영향을 받지 않는 것으로 나타났다. 마지막으로, ⑤ 환경혁신은 외부지식활용과 규제 등에 의해서 긍정적인 영향을 받고 있으나, 시장경쟁에 의해서는 부정적인 영향을 받고 있으며, 내부기술축적, 시장수요 대응정도, 시장주체 간 및 비시장주체 간 네트워크, 정부지원 등에 의해서는 영향을 받지 않는 것으로 나타났다. 이러한 분석결과에 대응한 정책적 시사점으로는 ① 시장측면에서 융·복합 기술적용과 새로운 규제 도입 등을 통해 창출되는 시장을 개척하여 내수를 확대하는 한편, 해외시장 개척을 지원할 필요가 있다. ② 수요연계형 공동연구개발 등 환경시장주체 간 생태계 구축을 활성화할 필요가 있다. ③ 정부의 정책이 규제 외에 지원을 더욱 강화할 필요가 있다. 본 논문은 기업의 실질통계 확보가 어려워 설문조사를 활용한 분석이라는 점에서 한계가 있으며, 향후 환경SSI 요소들 간의 상호영향관계를 분석하는 추가적인 연구가 필요하다.