用移动大数据衡量中国经济活动
Measuring Economic Activities of China with Mobile Big Data
摘要：
智能手机、在线地图、社交媒体以及由此产生的地理定位数据的新兴趋势，提供了以更细粒度和更直接的方式收集人们社会经济活动痕迹的机会，引发了实证研究的革命。这些庞大的移动数据为衡量经济动态提供了新的视角和方法，并正在扩大社会科学和经济学的研究领域。在本文中，我们探讨了使用移动大数据来衡量中国经济活动的潜力。首先，我们基于数十亿的地理定位数据建立衡量就业和消费趋势的指数。其次，我们通过百度地图的位置搜索数据来估计商店的线下客流量，然后将其应用于预测苹果在中国的收入并准确检测票房欺诈。第三，我们构建了消费指标来跟踪服务业各行业的趋势，并通过几个现有的指标进行了验证。据我们所知，我们是第一个通过挖掘这种前所未有的大规模和细粒度时空数据来衡量第二大经济体的人。我们的研究为衡量经济活动提供了新的方法和见解。
英文摘要：
Emerging trends in smartphones, online maps, social media, and the resulting geo-located data, provide opportunities to collect traces of people's socio-economical activities in a much more granular and direct fashion, triggering a revolution in empirical research. These vast mobile data offer new perspectives and approaches for measurements of economic dynamics and are broadening the research fields of social science and economics. In this paper, we explore the potential of using mobile big data for measuring economic activities of China. Firstly, We build indices for gauging employment and consumer trends based on billions of geo-positioning data. Secondly, we advance the estimation of store offline foot traffic via location search data derived from Baidu Maps, which is then applied to predict revenues of Apple in China and detect box-office fraud accurately. Thirdly, we construct consumption indicators to track the trends of various industries in service sector, which are verified by several existing indicators. To the best of our knowledge, we are the first to measure the second largest economy by mining such unprecedentedly large scale and fine granular spatial-temporal data. Our research provides new approaches and insights on measuring economic activities.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
