Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA
Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15213.
Behav Brain Sci. 2019 Nov 20;42:e206. doi: 10.1017/S0140525X19000244.
Recent studies have shown that population-level time perspectives can be approximated using "big data" on search engine queries, and that these indices, in turn, predict the per-capita Gross Domestic Product of countries. Although these findings seem to support Baumard's suggestion that affluence makes people more future-oriented, they also reveal a more complex relationship between time perspectives and economic outputs.
最近的研究表明,使用搜索引擎查询的“大数据”可以近似估计人口层面的时间观念,而这些指数反过来又可以预测国家的人均国内生产总值。尽管这些发现似乎支持了 Baumard 的观点,即富裕使人们更具前瞻性,但它们也揭示了时间观念和经济产出之间更为复杂的关系。