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Related Experiment Videos

Dynamic analysis and assessment for sustainable development.

Xiao-qing Shi1

  • 1Department of Systems Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. shixq@mail.rcees.ac.cn

Journal of Environmental Sciences (China)
|March 13, 2002
PubMed
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Sustainable development assessment needs dynamic methods, not just static indicators. This study proposes a flexible approach considering temporal changes for better decision-making.

Area of Science:

  • Environmental Science
  • Economics
  • Sociology

Background:

  • Current sustainable development assessments primarily rely on static indicator systems.
  • Existing methods often fail to capture the dynamic nature of social-economic and eco-environmental systems.
  • Sustainable development possesses both spatial and temporal characteristics that are critical for accurate evaluation.

Purpose of the Study:

  • To analyze the dynamic characteristics of sustainable development.
  • To propose a novel, flexible assessment approach that incorporates temporal dynamics.
  • To provide richer information for decision-making processes in sustainable development strategies.

Main Methods:

  • Analysis of the dynamic traits of sustainable development, identifying an upward undulating curve pattern.

Related Experiment Videos

  • Development of a flexible assessment framework based on tendency analysis.
  • Integration of restrictive conditions and a feedback system into the assessment model.

    • Main Results:

    • Sustainable development follows a dynamic, upward undulating trajectory over time.
    • The proposed flexible assessment approach offers a more comprehensive evaluation than static methods.
    • The approach provides enhanced insights for informed decision-making in sustainable development.

    Conclusions:

    • Dynamic assessment is essential for effective sustainable development strategies.
    • The proposed method, incorporating temporal analysis, improves the evaluation of sustainable development.
    • This research contributes to more robust and adaptive sustainable development planning.