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可持续发展战略重点——基于文本挖掘的自愿国家审查比较分析。

Focal points for sustainable development strategies-Text mining-based comparative analysis of voluntary national reviews.

机构信息

Institute of Environmental Engineering, MTA-PE "Lendület" Complex Systems Monitoring Research Group, University of Pannonia, Veszprém, Hungary.

Institute of Environmental Engineering, University of Pannonia, Veszprém, Hungary.

出版信息

J Environ Manage. 2020 Jun 1;263:110414. doi: 10.1016/j.jenvman.2020.110414. Epub 2020 Mar 10.

DOI:10.1016/j.jenvman.2020.110414
PMID:32174539
Abstract

Countries have to work out and follow tailored strategies for the achievement of their Sustainable Development Goals. At the end of 2018, more than 100 voluntary national reviews were published. The reviews are transformed by text mining algorithms into networks of keywords to identify country-specific thematic areas of the strategies and cluster countries that face similar problems and follow similar development strategies. The analysis of the 75 VNRs has shown that SDG5 (gender equality) is the most discussed goal worldwide, as it is discussed in 77% of the analysed Voluntary National Reviews. The SDG8 (decent work and economic growth) is the second most studied goal, With 76 %, while the SDG1 (no poverty) is the least focused goal, it is mentioned only in 48 % of documents and the SDG10 (reduced inequalities) in 49 %. The results demonstrate that the proposed benchmark tool is capable of highlighting what kind of activities can make significant contributions to achieve sustainable developments.

摘要

各国必须制定并执行适合本国的可持续发展目标战略。截至 2018 年底,已经公布了 100 多项自愿国家审查报告。这些审查报告通过文本挖掘算法转化为关键词网络,以确定各国战略的具体主题领域,并对面临类似问题和采取类似发展战略的国家进行分类。对 75 份 VNR 的分析表明,SDG5(性别平等)是全球讨论最多的目标,因为在分析的 75 份自愿国家审查报告中有 77%都对其进行了讨论。SDG8(体面工作和经济增长)是第二个被研究最多的目标,占 76%,而 SDG1(消除贫困)是被关注最少的目标,只在 48%的文件中被提及,SDG10(减少不平等)的提及率为 49%。结果表明,所提出的基准工具能够突出什么样的活动可以为实现可持续发展做出重大贡献。

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