• 제목/요약/키워드: Causal Loops Diagramming

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비선호시설 입지갈등에 대한 인과지도 작성과 정책 대안 (Causal Loop Diagramming of Location Conflict on LULU(Locally Unwanted Land Use) Facilities and Policy Alternatives)

  • 이중훈;권혁일;김연식;이만형
    • 한국시스템다이내믹스연구
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    • 제8권1호
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    • pp.151-171
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    • 2007
  • Without exception, diverse LULU(Locally Unwanted Land Use) facilities have been under the location conflict, especially between the public government units and local residents. In spite of repeated trials-and-errors, literally, the location conflict has shown no sign of improvement over time in Korea. As practical means to tackle these issues, this study focuses on divulging explicit and implicit relationships among key factors derived from the location conflict on the LULU facilities. Here, major research variables cover residents' agreement, residents' perception, compensation expectation, and public opinion. As the location conflict on the LULU facilities could be strengthened or resolved by the dynamic feedback system, it applies basic tools geared toward causal loop diagramming. After repeated experiments, the study highlights the fact that the residents' perception, compensation expectation, and public opinion, individually and collectively, exert significant impact on the residents' agreement ratio.

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국가 에너지 R&D의 중장기 효과평가를 위한 인과지도 분석 (The Long-Term Effect of Energy R&D Investment Based on Causal Loop Diagramming Analysis)

  • 오영민
    • 한국시스템다이내믹스연구
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    • 제14권4호
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    • pp.91-112
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    • 2013
  • This article aims at revealing the dynamic relationships between the energy R&D investment and economic growth in Korea. To achieve this goal, we reviewed the effects of energy R&D investments and tried to make the holistic interconnections for describing the feedback loops between energy R&D and economic system. Energy R&D investments develop the renewable energy, energy efficiency and $CO_2$ emission reductions technologies for accomplishing the national strategic targets. The rapid obsolescence of technologies makes the inefficiency and negative effects in governmental energy R&D investments.

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