一个关于可持续发展的时间序列数据集 欧洲的可持续发展目标遵守
1Dpt. of Quantitative Methods, University of the Basque Country (UPV/EHU). Faculty of Economics and Business, Lehendakari Agirre 83, 48015 Bilbao, Spain.
Data in brief
|January 6, 2026
概括
这项研究处理了欧洲地区的可持续发展目标 (SDG) 指标数据,以确保数据包裹分析 (DEA) 等高级分析的完整性. 清理的数据集支持全面的政策和经济评估.
科学领域:
- 社会经济指标 社会经济指标
- 区域经济学 区域经济学
- 可持续的发展 可持续的发展
背景情况:
- 可持续发展目标 (SDG) 的指标对于区域分析至关重要.
- 现有的数据集往往含有缺失的值,限制了先进的统计方法.
- 多变量分析,如数据包裹分析 (DEA),需要完整的时间序列数据.
研究的目的:
- 编制和处理NUTS2区域的时间序列可持续发展目标指标.
- 通过先进的归算技术来解决缺失的数据.
- 创建一个完整的数据集,适用于多变量分析和政策评估.
主要方法:
- 为欧洲各地区 (欧盟,候选国,欧洲自由贸易联盟) 的可持续发展目标指标编制时间序列数据.
- 使用时间和地理方法进行广泛的数据过和归算.
- 应用保守或中立的归算策略来确保数据的完整性.
主要成果:
- 一个全面的数据集的可持续发展目标指标为NUTS2区域从1980-2024.
- 成功地解决了缺失的值,确保了高级分析的数据完整性.
- 处理的数据集已经准备好用于需要完整数据的应用程序.
结论:
- 经过处理的SDG指标数据集增强了强有力的区域经济和政策研究的潜力.
- 通过归算实现的数据完整性促进了先进的多变量分析.
- 该资源支持更广泛的应用,包括计量经济学建模和索引构建.
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