分析LinkedIn数据,探索可持续发展目标,循环经济和选举动态之间的关系
Konstantinos P Tsagarakis1,2, Theodoros Daglis3,4, Konstantinos Gkillas5
1School of Production Engineering and Management, Technical University of Crete, Crete, Greece. ktsagarakis@tuc.gr.
Scientific reports
|November 29, 2024
概括
这项研究表明,LinkedIn的数据可以评估美国的可持续发展目标 (SDGs) 和循环经济的进展. 政治党派关系影响这些可持续性指标在州一级.
科学领域:
- 社会科学 社会科学 社会科学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 2030年可持续发展议程包括17个可持续发展目标 (SDGs).
- 评估可持续发展目标的进展,特别是可持续发展目标12 (负责任的消费和生产) 和循环经济原则,需要创新的数据来源.
- 可持续发展目标指数提供了一个衡量标准,用于评估美国各州的可持续社区进步.
研究的目的:
- 探索LinkedIn作为评估SDG12中的循环经济维度和更广泛的SDG指数的替代数据源.
- 研究可持续发展目标,循环经济指标和美国各州的投票行为之间的关系.
- 分析政治因素如何影响可持续性指标.
主要方法:
- 从LinkedIn收集数据 (个人资料,公司,招聘信息,服务),使用关键词"可持续发展目标"和"循环经济".
- 美国州级SDG指数和SDG12分数的整合.
- 从过去五个选举周期中获取美国大选数据.
- 应用回归分析与主要组件分析 (PCA) 组件和州选举数据.
主要成果:
- 来自LinkedIn的可持续发展目标和循环经济组件与各自的指数呈正相关性.
- 政治党派关系 (共和党与民主党) 对SDG和SDG12指数产生了截然不同的影响.
- 基于国家层面的选举选择,观察到可持续性指标的不同趋势.
结论:
- LinkedIn作为一个可行的数据来源,用于评估国家和州级在可持续发展目标和循环经济方面的进展.
- 政治取向与可持续发展和循环经济的采用轨迹有显著的相互作用和影响.
- 了解政治因素和可持续社区之间的相互作用对于有效实施政策至关重要.
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