Measuring activities and values of industrial clusters based on job opportunity data collected from an internet Japanese job matching site

Abstract

This paper analyzes Grid Square Statistics on job opportunity ads collected from a Japanese Internet job matching site (“from A navi”). We confirm a relationship between the number of job opportunities and socioeconomic quantities (the population, the numbers of firms and workers) in each 1-km and 10-km Grid Square. The number of workers is the best variable to explain the number of job opportunities out of the three candidates of socioeconomic quantities in the 1-km Grid Squares, however explanatory powers of three socioeconomic quantities to the number of job opportunities are just slightly different from one another in the 10-km Grid Squares depending on observation dates. We propose that the power law exponent estimated from the daily cross-sectional relationship can be used as the production ratio of job opportunities to socioeconomic quantities. It is determined that the production ratios vary in time and show seasonality associated with the Japanese calendar. Moreover, we compute 1-km Grid Square Statistics about job opportunity data based on JIS X0410 and we clarify relationships between the number of job opportunities and the number of occupation types. We extracted industrial clusters in terms of job opportunities and the types of job occupations in Japan.