Yamashita Hiroshi
   Department   Undergraduate School  , School of Commerce
   Position   Professor
Language English
Publication Date 2019/12
Type Academic Journal
Peer Review Peer reviewed
Title A Weighted Additive Model for the Whole Demand Analysis of a Seasonally Dependent Product Using Meteorological and Regional Data, Considering Social Customs Factors and Policy Factors: Focus on Japanese Beer Demand Structure
Contribution Type Co-authored (other than first author)
Journal Industrial Engineering & Management Systems
Journal TypeAnother Country
Publisher The Korean Institute of Industrial Engineers
Volume, Issue, Page 18(4),pp.761-775
Author and coauthor Tsuyoshi Kurihara, Takaaki Kawanaka, Hiroshi Yamashita
Details This paper proposes a new weighted additive model for the whole demand analysis of a seasonally dependent product, i.e., Japanese beer, using meteorological and regional data, considering “regional characteristics of climate” and “regional homogeneity of demand together,” with the further addition of social customs factors, policy factors, and a demand trend. Using the alternating least squares method, we attempt parameter estimation for the model with an inseparable parameter group generated by expressing “regional characteristics of climate” and “regional homogeneity of demand” together as a product of mutually independent factors (meteorological and regional factors). The results show that the proposed model is valid and provides insight into the effects of the factors influencing demand.