• 제목/요약/키워드: Policy Model

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시스템 다이내믹스를 이용한 폐기물 관리정책에 관한 연구 (A study on the Waste management Policy Using System Dynamics Model)

  • 문태훈;서원석
    • 한국시스템다이내믹스연구
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    • 제1권2호
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    • pp.113-148
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    • 2000
  • In 1987, The Brundtland Report defined a sustainable development as the development that meets the needs of the present without compromising the ability of future generations to meet their own needs. This is the concept that we should cling to, to preserve natural resources of the present for the future generation. With this concept in mind, this paper criticized the current waste management policy has been neglecting resource preservation aspect of waste management policy while giving too much emphasis on reducing waste generation. Thus, the purpose of this paper is to analyze how waste management policy can affect preservation of natural resources, and to investigate policy alternatives that can reduce both the volume of wast geverated and the amount of natural resources that need to be consumed in the production process. The study was conducted based on the literature survey and system dynamics simulation. Borrowing Randers and Meadows's solid waste model with some modification of parameter and variables, this paper simulate several policy alternatives to figure out the most effective waste management policy set that can meet the need of the present without compromising the ability of the future generation to meet their own needs. Main concern was how to link waste management policy with resource management policy that can lead to minimization of waste generation and resource consumption.

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The effects of a 52-hour workweek policy on meat consumption patterns in Korea

  • Cho, Jaesung;Jeong, Minkook;Seo, Gangcheol;Lee, Hyungwoo
    • 농업과학연구
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    • 제48권1호
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    • pp.83-93
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    • 2021
  • The 52-hour workweek policy in Korea is a system that limits the maximum working hours per week to 52 hours including holiday work, which has been treated separately from overtime work during a week. Although this policy is designed to improve the quality of life and create jobs, it may also reduce the income of some workers. In general, it can be assumed that reduced working hours increase consumption at home. This study analyzed the effect of the 52-hour work policy on meat consumption patterns with the ordered logit model. Major factors considered in this study include working hours, income, and consumption frequency. It distinguished domestic and workplace consumption. The results show that the policy has had an impact on meat consumption patterns both at home and at work. If there is no change in income and only the working hours decrease, meat consumption in households increases. On the other hand, if both income and working hours decrease, household meat consumption decreases. Moreover, reduced working hours decrease the frequency of office happy hour and meat consumption in the workplace. However, the 52-hour workweek policy applies only to workers working more than 52 hours per week; thus, it is difficult to determine the overall effect of the policy on national meat consumption patterns.

미국의 통화정책과 국내 주식 투자자의 반응 (U.S. Monetary Policy and Investor Reactions: Korean Evidence)

  • 박종호
    • 아태비즈니스연구
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    • 제13권4호
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    • pp.135-149
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    • 2022
  • Purpose - The primary objective of this article is to investigate the impact of U.S. monetary policy on institutional / individual / foreign investor reactions in the Korean stock market. Design/methodology/approach - This study employs a high frequency event study methodology to identify U.S. monetary policy shocks and quantify the impact of identified shocks on investor reactions. The dependent variable in the regression model is net stock purchase, while the explanatory variables are U.S. monetary policy shocks. The model is estimated for the period 2000-2019, including 156 FOMC meetings. Findings - Foreign investors immediately sell stocks in response to contractionary U.S. monetary shocks. They do not, however, react to anticipated changes in monetary policy rates, confirming the rationality of foreign investors. Individual investors demonstrate the opposite response, indicating that a non-trivial proportion of individual investors are irrational. Research implications or Originality - This study adds to the current literature on the effect of U.S. monetary policy on the Korean stock market. This study demonstrates a heterogeneous response to U.S. monetary policy shocks, validating the rational investment behavior of foreign investors, while individual investors exhibit a certain degree of irrationality. Methodologically, this study adds to the literature by quantifying the impact of U.S. monetary policy employing a sharper identification method allowing a simple and consistent estimation.

LISREL모형을 활용한 산림자원 육성정책의 평가 (Evaluation of the Korea Forest Resource Promotion Policy by Using LISREL Model)

  • 남성현;김세빈;권기원;전현선
    • 한국산림과학회지
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    • 제97권3호
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    • pp.255-265
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    • 2008
  • 본 연구는 산림자원육성정책을 추진함에 있어서 정책결과와 정책효과에 영향을 미치는 요인과 그 관계를 측정 분석하여 이를 바탕으로 앞으로 산림자원육성정책의 성공적 추진을 위한 유용한 정보를 제공하는 데 목적이 있다. 자료는 산림자원 육성정책을 수립 집행하는데 직 간접적으로 관여하거나 영향을 미치는 공무원과 민간인 등 이해관계자를 대상으로 조사하였다. 본 연구는 산림자원육성정책을 LISREL 모델을 이용하여 실증적으로 분석 평가하였다. 분석 결과 산림자원 육성정책의 경우 정책결과는 문제인식의 적합성, 정책결정의 적합성, 정책집행의 합리성이 매우 유의적인 영향관계가 있으며, 정책지지도는 정책효과에, 정책결과는 정책효과에 각각 유의적인 영향을 미치는 것으로 나타났다. 또한 잠재변수와 측정변수 간, 잠재변수 상호간 경로계수가 대부분 유의한 정(+)의 계수를 나타내고 있어 산림자원 육성정책은 정책결과 측면에서 아주 성공적인 정책으로 평가되었고, 정책효과에 있어서도 아주 성공적인 정책으로 평가되었다.

공 던지기 로봇의 정책 예측 심층 강화학습 (Deep Reinforcement Learning of Ball Throwing Robot's Policy Prediction)

  • 강영균;이철수
    • 로봇학회논문지
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    • 제15권4호
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    • pp.398-403
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    • 2020
  • Robot's throwing control is difficult to accurately calculate because of air resistance and rotational inertia, etc. This complexity can be solved by using machine learning. Reinforcement learning using reward function puts limit on adapting to new environment for robots. Therefore, this paper applied deep reinforcement learning using neural network without reward function. Throwing is evaluated as a success or failure. AI network learns by taking the target position and control policy as input and yielding the evaluation as output. Then, the task is carried out by predicting the success probability according to the target location and control policy and searching the policy with the highest probability. Repeating this task can result in performance improvements as data accumulates. And this model can even predict tasks that were not previously attempted which means it is an universally applicable learning model for any new environment. According to the data results from 520 experiments, this learning model guarantees 75% success rate.

가정내 인성교육을 위한 부모 역할 지원 방안 탐색 (Policy Study on Parents Support for Character Education within Family)

  • 이현아;진미정
    • 가정과삶의질연구
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    • 제31권4호
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    • pp.65-82
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    • 2013
  • This study focuses on the roles of family and parents as primary environments for character education of children and adolescents, examines surrounding micro and macro environments in a bioecological model, and explores parent support methods for restoring character education in family. For this study, we had interviews with 54 parents(44 mothers & 10 fathers). Through the interviews we found difficulties of character education in family and analyzed them in children and teenagers, parents, school, and social-cultural dimensions based on the bioecological model. On the basis of the parents' perception for these difficulties, we proposed how to support the roles of family and parents for recovering character education in family. The policy methods were propsed in family, school, and society dimensions. This study is meaningful in that it suggests evidence base for making the parent support policy.

가장 일반화된 형태의 삼변수 운용방침 개발과 그에 따른 Busy Period 기대값 유도 (Development of the Most Generalized Form of the Triadic Operating Policy and Derivation of its Corresponding Expected Busy Period)

  • 이한교;오현승
    • 산업경영시스템학회지
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    • 제32권4호
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    • pp.161-168
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    • 2009
  • The most generalized form of the triadic operating policy for an M/G/1 queueing model is developed. It consists of three simple N, T and D operating policies and has a peculiar structure possessing concepts of dyadic policies. Using the concept of the pseudo probability density function of the busy period, its expected busy period for the controllable M/G/1 queueing model is derived. Since the obtained result is the most generalized form the triadic polity, the expected busy periods for all known dyadic policies are recovered as special cases from it.

Success Factors of Student Startups in Korea: From Employment Measures to Market Success

  • Ko, Chang-Ryong;An, Jong-In
    • Asian Journal of Innovation and Policy
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    • 제8권1호
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    • pp.97-121
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    • 2019
  • The Korean government has focused on universities or colleges as the main targets of its startup policy since the 2010s. However, the performance is not so good, with a low survival rate. The purpose of this study is to examine the factors that underpin the success of student startups. First, through a review of the literature, this study compared the success factors of student startups with those of venture startups, which means the general startup sector, as well as youth startups, also a focus of startup policy targeting youngsters outside universities or colleges. Second, we analyzed case studies of startup companies connected University H. The literature review showed that the main target of student startups is the employment of university students. There is a lack of studies on success factors; existing studies only emphasize the entrepreneurship of students. The results of case studies showed several factors of success similar to those of general venture startups: founders, business model and resources including team, and mentoring.

철도구조개혁의 정책과정에 관한 연구 (The Study on Policy Process in case of Rail Reform)

  • 이용상
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2003년도 춘계학술대회 논문집
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    • pp.286-293
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    • 2003
  • Our Railroad has been decided to convert the system from government enterprise to privitization since 1989. But These Policy has been changed 3times. Therefore I wish to survey the proecss, which is the main factor to change the policy. Firstly, I made a hypothesis concerning the policy making process. Secondly, I described the policy process concisely. Thirdly, I analysized the policy making process. In conclusion, I suggested the rational policy process model.

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이러닝 지원정책 활용성숙도 분석을 통한 정책 효과성 제고 방안 (Measures for e-Learning Policy Effectiveness Improvement through Analysis of Maturity of Korean Policy Application)

  • 노규성;박상휘
    • 디지털융복합연구
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    • 제11권12호
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    • pp.11-19
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    • 2013
  • 본 연구는 한국 정부의 이러닝 기술개발(R&D) 지원 정책에 대한 이러닝 공급업체의 정책 활용 성숙도를 분석하고, 기업 경영상 애로사항이 성숙도에 어떠한 영향을 미치는지 분석하여 정책의 효과성을 높일 수 있는 방안에 대해 모색하고자 한다. 이를 위하여 2012년 이러닝 산업 실태조사 자료를 이용하였다. 실태조사 자료 중 정부의 정책에 대한 기업의 인지, 경험, 향후 이용의향 설문 항목을 활용하여 6단계의 성숙도 모델이 도출이 되었으며, 이에 대한 운영, 기술개발, 마케팅 등 경영상 애로사항이 미치는 영향에 대하여 분석한 결과 이러닝 업체들은 자금 관리, 개발 기술의 사업화에 어려움이 많을수록 기술개발 지원정책 활용 성숙도가 높은 것으로 나타났다. 이러한 연구 결과를 바탕으로 지원 정책의 효과를 높일 수 있는 방안에 대한 함의를 논의하였다.