2013 Volume 34 Pages 129-146
When conducting empirical analyses of the structures of industrial technology, macro statistics in Japan typically uses the input-output structure of the Input-Output Tables. On the other hand, if it is possible to measure transaction-based corporate activities, the expectation is that it will be possible to understand intermediate input structures by item produced on a month-by-month basis (Sakaki, 2011). Then, by means of transaction-based measurements, it will be possible to bring about a qualitative conversion from static statistics that indicate no more than the input structure or the conditions at a specific point in time, to measuring dynamic statistics that reveal changes in the technology structure. In this paper, we investigate and develop some indices that measures the movement of the industrial structures based on the Input-Output Tables. This paper defines and estimates the indices such as subcontract dependences and demand to wide divisions. On the other hand we have hitherto devel- oped the technology for crowd-sourcing and managing the transaction data of individuals, firms and governments by exchange algebra and Algebraic Accounting Description Language (AADL). We found that it is difficult to identify the movement of estimates over time between structural factors such as industrial technologies and temporary demand-supply factors based on macro statistics data and that transaction-based measurement can solve this problem.
