• 농촌계획
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• 제4권2호
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• pp.117-127
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• 1998

In this study, a model was developed to analyze the capacity and the total price of the agricultural products marketing between nations through the estimation of the production and consumption amount of the agricultural products in each nation and the analysis of the price and transport cost to each nation. The method which can contribute to the agricultural policy decision support was devised. The main concept of the method is to compute the potential import-export amount and total cost among the nations. In the application, wheat was selected to evaluate the model. The application results showed that the model could analyzed the unit consumption and storage amount per capital of each nation and the price and transport cost per unit weight from each export nation, provided the policy decision maker with the basic data analyzed by GIS.

• 보건행정학회지
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• 제27권1호
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• pp.1-2
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• 2017

Health policy is the governmental decision contained with the objectives to achieve the desirable health and the tools to achieve them. The academic journal in health policy could be involved in all stages of the health policy process-agenda setting, policy making, policy implementing, and policy evaluating. 'Health Policy and Management' has been undertaking the role of an academic society in health policy. 'Health Policy and Management' will strengthen its role in health policy.

• 보건행정학회지
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• 제30권3호
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• pp.286-300
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• 2020

In 2019, the Seoul metropolitan government established its own 'Seoul-type paid sick leave project'. Although the central government had to introduce such a system, which is also called sickness benefits, it was not implemented. In order to understand the process by which the Seoul government has implemented such a policy, this study used Kingdon's multiple streams framework. As a result, in the problem stream, it was found that the economic burden of sickness has been considered only in terms of medical expenses in the past of Korea. Then Songpa's three women and Middle East respiratory syndrome incidents raised awareness of the necessity of the sickness benefit system in 2014 and 2015. In the political stream, several social affairs such as national health insurance huge surpluses and the 2017 presidential election opened policy window. At that time, Seoul Mayor actively promoted sickness benefits as a policy entrepreneur. In the policy stream, the sickness benefit system has gained new attention through political events. To summary, these three streams flowed separately and then they assembled around huge political affairs. As a result, it was confirmed that Kingdon's model is the most effective theory than any other models in analyzing the health care policy decision process in Korea.

• 환경정책연구
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• 제11권3호
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• pp.3-24
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• 2012

한국의 경우 많은 생태계가 정부 조직에 의해 관리되고 있다. 그러므로 생태계 관리에 대한 공무원들의 의사결정은 한국의 생태계 관리에 큰 영향을 미치고 있으며, 그들의 의사결정에 따라 한국의 생태계가 효과적으로 관리될 수도 있고, 반면 그렇지 않을 수도 있다. 본 논문에서는 생태계 관리의 목적을 생태계의 지속성 확보라고 전제하고, 생태계 관리에 대한 공무원들의 의사결정과 그 심리에 대해 살펴본다. 생태계 관리 활동에는 기본적으로 불확실성이 수반되며, 공무원들은 관리 활동에 대한 의사결정 준거로서 법에 대한 지식, 과학에 대한 지식, 정부 간 관계에 대한 지식, 그리고 지방 거버넌스에 대한 지식을 활용한다. 본 논문은 공무원들의 의사결정을 설명하기 위해 불확실성 하 인간의 판단에 관한 심리 이론을 채택한다. 공무원들에 의한 효과적인 생태계 관리란 그들이 가지고 있는 네 가지 종류의 지식을 관리 활동에 모두 활용하는 것을 의미하고, 이를 위해서는 정부의 정책적 뒷받침이 필요하다. 본 논문의 결론에서는 효과적인 생태계 관리를 위하여 공무원들이 법, 과학, 정부 간 관계, 그리고 지방 거버넌스에 대한 지식을 적극 활용할 수 있도록 만들기 위한 정책적 제언을 제시한다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.21-21
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• 2011

Many Asian countries are suffered from various problems on water, which include the need for increased access to improves water supplies and sanitation through investments in infrastructure and capacity building, the balances water management system between development and ecosystem, and the need to reduce the human populations'vulnerability to water-related disasters, in particular, from climate variability and evolution. Decison makers are the most influential people in policy making and solving global water problems is central issue in eradicating poverty and achieving sustainable development (MDG). They across the world form an integral part of the architecture of national or regional governance. Their role covers a range of decision-making processes including passing legislation, scrutinizing government policy, and representing citizen through the election. We must ensure that these quiet but important issues get the political space, financial priority and public attention they deserve. Regional bodies such as the EU have also enacted legislation which introduces rules on water quality and other enforceable mattera across state boundaries. With this growing body of laws and policies on water issues, the role of decision makers is growing. Recognizing this role, decison makers' platform is essential to provide an opportunity to discuss crucial water issues in each country or region and for the purpose "2010 Parliaments for Water in Asia" has planned and organized to investigate our common issues and goals. During the meeting, we have an opportunity to observe water policy of Bangladesh, Bhutan, China, Mongolia, New Zealand and the Philippines and share the views on what needs to be done to move forward by decision makers for the future of water. In conclusion, the process of developing the decision makers' platform in each region would be ultimately essential point to increase the awareness of the developed and developing countries' roles, knowledge to clarify roles and responsibilities of each stake holders and finally be a major actor for resolving not only water challenges also issues of human settlements.

• Asian Journal of Innovation and Policy
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• 제5권2호
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• pp.197-207
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• 2016

This paper seeks to measure the monetary value of technical development in the deep seabed manganese nodule mining by applying the compound option model (COM). The COM is appropriate for the project in terms of its decision-making structure and embedded uncertainty. The estimation results show that the deep seabed mining project has more economic potential than shown by the previously obtained results from the discounted cash flow (DCF) analysis. In addition, it is reasonable to invest in the project taking the various uncertainty factors into consideration, because the ratio of the value to the cost of the project is far higher than one. This information can be utilized in national ocean policy decision-making.

• The Journal of Asian Finance, Economics and Business
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• 제7권3호
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• pp.87-99
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• 2020

The study aims to investigate factors that determine dividend payout policy using 336 non-financial firm year observations covering the period 2005 to 2016 in Malaysia. We found a significant positive relationship between corporate board size, board members average age, board tenure and dividend payout policy. We also found a strong negative effect and statistically insignificant relationship of board diversity, board independence, CEO duality and dividend payout policy. Additional, financial leverage has a negative effect on dividend payout policy. It is also noticed that firms with diverse boards are more likely to pay dividends and tend to pay larger dividends than those with non-diverse boards. Our results suggest that board diversity has a significant impact on dividend payout policy. Impact of board diversity on dividend payout policy is particularly conspicuous for firms with potentially greater agency problems. Our findings are consistent with the argument that corporate board traits enhancement positively affect the dividend payout policy which is beneficial for shareholders. This study offers useful insights into the current global debate on board traits and its implications for firms. The dividend payout policy signals good news to investors. Corporate board traits and firm's financial decision are the factors that disrupt the dividend decision.

• 한국IT서비스학회지
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• 제15권4호
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• pp.85-95
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• 2016

Recently, deep learning and machine learning have attracted considerable attention and many supporting frameworks appeared. In artificial intelligence field, a large body of research is underway to apply the relevant knowledge for complex problem-solving, necessitating the application of various learning algorithms and training methods to artificial intelligence systems. In addition, there is a dearth of performance evaluation of decision making agents. The decision making agent that can find optimal solutions by using reinforcement learning methods designed through this research can collect raw pixel data observed from dynamic environments and make decisions by itself based on the data. The decision making agent uses convolutional neural networks to classify situations it confronts, and the data observed from the environment undergoes preprocessing before being used. This research represents how the convolutional neural networks and the decision making agent are configured, analyzes learning performance through a value-based algorithm and a policy-based algorithm : a Deep Q-Networks and a Policy Gradient, sets forth their differences and demonstrates how the convolutional neural networks affect entire learning performance when using pixel data. This research is expected to contribute to the improvement of artificial intelligence systems which can efficiently find optimal solutions by using features extracted from raw pixel data.

• 한국지역지리학회지
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• 제15권3호
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• pp.409-420
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• 2009

본 연구는 대구시 중소기업을 중심으로, 아파트형 공장의 입지요인 및 정책요인이 입주의사에 미치는 영향을 분석하는 것을 목적으로 한다. 본 연구의 주요 결과는 다음과 같다. 첫째로, 설문조사 분석결과를 보면, 응답기업의 58.2%가 아파트형 공장에 입주할 의사가 있는 것으로 나타났다. 둘재로, 입지요인에 대한 요인분석 결과, 네트워크, 입주비용, 접근성, 입주공간, 노동력 등 총 5개의 요인이, 정책요인에 대한 요인분석 결과, 경영지원정책, 금전지원정책, 행정지원정책 등 총 3개의 요인이 추출되었다. 셋째로, 로짓 희귀분석 결과, 입지요인이 입주의사에 미치는 효과에서 대구지역 아파트형 공장의 잠재수요자인 응답기업들의 아파트형 공장 입주의사에 통계적으로 유의하게 영향을 미치는 입지요인은 없으나, 입주비용 요인은 입주의사에 약하게 영향을 미치는 것으로 판단된다. 또한, 정책요인이 입주의사에 미치는 효과분석 결과, 세제지원, 금융지원, 임대료 지원과 같은 금전지원 정책이 대구지역 아파트형 공장의 잠재수요자인 응답기업들의 입주의사에 통계적으로 유의하게 영향을 미치는 것으로 나타난다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.496-507
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• 2001

An expert system for the diagnosis and indication of hypertension is implemented through HTML-based backward inference. HTML-based backward inference is performed using the hypertext function of HTML, and many HTML files, which are hyperlinked to each other based on the backward rules, should be prepared beforehand. The development and maintenance of the HTML files are conducted automatically using the decision graph. Still, the drawing and input of the decision graph is a time consuming and tedious job if it is done manually. So, automatic generator of the decision graph for the diagnosis and indication of hypertension was implemented. The HTML-based backward inference ensures accessibility, multimedia facilities, fast response, stability, easiness, and platform independency of the expert system. So, this research reveals that HTML-based inference approach can be used for many Web-based intelligent site with fast and stable performance.