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Updated: Jul 9, 2025

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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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通过网络分析揭示国家可持续发展战略之间的互补性.
Mimi Gong1, Ke Yu2, Zhenci Xu3
1Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, 48823, USA.
Journal of environmental management
|November 27, 2023
概括
了解可持续发展目标 (SDGs) 的相互作用是关键. 本研究使用网络分析来绘制SDG互补性,揭示了社会经济核心和环境外围,具体目标作为全球发展的关键桥梁.
科学领域:
- 可持续性科学 可持续性科学
- 网络分析 网络分析
- 国际发展国际发展
背景情况:
- 联合国2030年议程概述了17个可持续发展目标和232个指标.
- 有效实现可持续发展目标取决于理解相互依存关系和优先考虑发展途径.
- 现有的方法往往忽视了可持续发展目标之间的复杂相互作用和比较优势.
研究的目的:
- 对全球可持续发展目标的互补性进行全面的网络分析.
- 在目标和指标水平上绘制"可持续发展目标空间",使用经济"产品空间"概念.
- 确定关键的"桥梁"目标和指标,连接不同的SDG集群.
主要方法:
- 建立一个"可持续发展目标空间"网络,基于可持续发展目标比较优势的同时发生.
- 网络分析应用于目标级和指标级数据.
- 通过与相关性网络进行比较和使用历史数据进行预测功率评估来验证.
主要成果:
- 确定一个紧密相连的社会经济集群和一个独特的环境集群.
- 确定了关键的"桥梁"目标:SDG 17,SDG 8,SDG 15 (环境);SDG 7,SDG 6,SDG 16 (社会经济).
- 自由新闻指数 (16-9) 成为一个关键的"桥梁"指标,具有高度的中心性,特别是在中国.
结论:
- 网络分析有效地可视化了可持续发展目标的相互联系,突出了不同的社会经济和环境集群.
- "桥梁"目标和指标对于促进跨越不同可持续性维度的进展至关重要.
- 针对特定的"桥梁"指标,如自由新闻指数,可以产生对整体可持续发展的级联积极影响.
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