可持续发展目标空间:揭示中国可持续发展目标之间的结构和互补性
Mimi Gong1, Ke Yu2, Changchang Zhou3
1Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA.
Fundamental research
|April 1, 2025
概括
了解可持续发展目标 (SDGs) 的相互联系是关键. 这项研究揭示了SDG 4 (优质教育),15 (生活在土地上) 和1 (没有贫困) 推动协同作用,为中国及其他地区提供政策见解.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 网络科学 网络科学
- 政策研究 政策研究
背景情况:
- 到2030年实现联合国可持续发展目标 (SDGs) 需要理解目标的相互联系.
- 以前的研究集中在相关性上,缺乏结构优先级和经验政策验证.
- 系统的优先考虑和了解哪些可持续发展目标和指标对其他目标影响最大,尤其是在中国,仍未得到充分探索.
研究的目的:
- 引入和应用"可持续发展目标空间"概念,使用网络科学方法来衡量可持续发展目标的互补性.
- 为有效的政策设计确定具有变革性的协同效应的关键可持续发展目标和指标.
- 为中国和全球的可持续发展提供基于科学的政策建议.
主要方法:
- 通过从网络科学和经济学中调整"产品空间"方法,开发了"可持续发展目标空间"概念.
- 用新数据为中国31个省份构建了可持续发展目标和指标级网络.
- 分析了网络结构,以根据同时发生的概率来衡量互补性.
主要成果:
- "可持续发展目标空间"网络表明,与目标密切相关的目标可以实现更好的未来增长.
- 可持续发展目标4 (优质教育),可持续发展目标15 (生活在土地上) 和可持续发展目标1 (消除贫困) 被确定为具有重大协同作用的关键驱动因素.
- 在陆地生态系统,清洁水和气候行动指标之间发现了强烈的互补性.
结论:
- 该研究提供了一种新的结构性方法,以了解可持续发展目标的相互联系和政策有效性.
- 确定了关键的可持续发展目标和指标协同作用,为中国的可持续发展政策提供了可操作的见解.
- "可持续发展目标空间"框架在全球范围内适用于导航到可持续发展目标.
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