Paper Info
Title
Construction of an Input-Output Table Considering Business-to-Consumer Transactions by using Private Data
Abstract
The current input-output table takes about 4 years from the start of the survey to the release, it is not suitable for analysis of real-time industries, and it takes a lot of labor to create. In order to solve this problem, the input-output table is being constructed using the corporate data possessed by Teikoku Databank (TDB) Co., Ltd. However, since the calculation of private consumption is based on the total sales of (BtoC) companies that are selling to consumers, it is not possible to record in the spent where it was consumed. Therefore, in this research, we estimate the sales ratio to consumers in the BtoC company and calculate the total sales amount to consumers in the sales of the company. Also, by dividing the total of the private consumption obtained proportionally according to the population size of each region, we construct an algorithm to calculate private consumption in each region.
Year
DOI
Venue
2018
10.1109/SCIS-ISIS.2018.00080
2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS)
Keywords
Field
DocType
Input- Output table, Corporate big data, Clustering, Business to consumer transactions
Consumer-to-business,Industrial engineering,Computer science,Input/output,Artificial intelligence,Machine learning
Conference
ISSN
ISBN
Citations 
2377-6870
978-1-5386-2634-4
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Takaya Ohsato100.68
Kaya Akagi200.68
Hiroshi Deguchi32314.54