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A detailed method to estimate inter-regional capital flows using inter-firm transaction and person flow big data

Yuki Akiyama (), Yohei Yamamoto, Ryosuke Shibasaki and Hodaka Kaneda
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Yuki Akiyama: The University of Tokyo
Yohei Yamamoto: The University of Tokyo
Ryosuke Shibasaki: The University of Tokyo
Hodaka Kaneda: ZENRIN-Datacom CO., LTD

Asia-Pacific Journal of Regional Science, 2020, vol. 4, issue 1, 219-239

Abstract: Abstract This study develops a method to estimate inter-regional capital flows in the real economy across Japan, which is important for understating the regional economy with as much detail as possible, and that existing censuses do not monitor adequately. The method can monitor spatial distributions of three kinds of capital flow: inter-firm transactions (F2F), firm-to-consumer flows as salaries (F2C), and consumer-to-firm flows as consumption behavior (C2F) using inter-firm transaction big data (IF data) and person flow big data (PF data). First, we estimated F2F using IF data that reports all capital flows between a company’s headquarters. Second, we estimate the home, work place, and consumption locations of all consumers using PF data collected by the auto-GPS function on mobile phones. Third, we estimate the F2C of each consumer by estimating their salaries based on the locations of firms in the IF data. Finally, we estimate the C2F of each consumption area by estimating the consumption of F2C in each consumption location. We develop a dataset that can monitor micro-scale capital flows across Japan. This study is one of the first attempts in any country to develop a dataset that can monitor the spatial distribution and time-series changes of nationwide capital flows at a very high-resolution scale. We expected that our data will contribute to policy-making to address the socioeconomic problems in the private sector and among local governments in Japan.

Keywords: Big data; Regional economy; Inter-regional capital flow; Inter-firm transaction; Mobile phone; Mass person flow (search for similar items in EconPapers)
JEL-codes: C81 (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s41685-019-00130-x

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