利用流动性数据预报经济活动

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-21 DOI:10.1016/j.jjie.2024.101327
Kohei Matsumura , Yusuke Oh , Tomohiro Sugo , Koji Takahashi
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引用次数: 0

摘要

我们利用移动应用程序中的 GPS 移动数据,开发了衡量服务业销售额和制造业生产额的高频指数。首先,通过利用兴趣点数据,我们开发了反映游乐园、购物中心和餐饮服务业销售情况的指标。其次,我们根据经济普查和流动模式确定的工厂区人流量,构建了生产预报指标。我们发现,流动性数据使我们能够对服务行业的销售情况进行预测,并有可能用于对劳动密集型行业的生产情况进行预测。
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Nowcasting economic activity with mobility data

We develop high-frequency indices to measure sales in service industries and production in the manufacturing sector using GPS mobility data from mobile applications. First, by utilizing the point of interest data, we develop indicators to capture sales in amusement parks, shopping centers, and food services. Second, we construct indicators for nowcasting production based on the foot traffic in factory areas that are identified by using the Economic Census and mobility patterns. We find that the mobility data allow us to nowcast sales in the service sectors and have the potential to be used to nowcast the production in labor-intensive industries.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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