General information product theory in economics science

The information, including the knowledge in the science, business and society, is being generated, transmitted, received and analyzed by the humans in the various countries for many centuries. The generated information can be structured, coded, stored and retrieved, representing a most valuable asset in possession by the acting economic agents in the modern economies of the scales and scopes in the information societies in an information age. The authors introduce a notion on the general information product (GIP) in the macroeconomics, thoughtfully defining the GIP(t) as a ratio of the total generated information stream to the selected finite time period (GIP(t)=total generated information/time) in the macroeconomics for the first time. Authors consider the GIP(t) as a main parameter, which evaluates the performance of the economies of the scales and scopes from the macroeconomics perspective. Authors assume that the multiple possible origins of the fluctuations of GIP(t) and the accurate characterization of GIP(t) can be made in agreement with the Ledenyov theory on the GIP(t) in the macroeconomics. Authors believe that the Ledenyov indicator GIP(t) instead of the Kuznets indicator GDP(t), can be successfully used to accurately measure the state/performance of any economy in the time domain. Authors think that the GIP(t) is a discrete-time digital signal (the Ledenyov digital wave with the Markov information), but it is not the continuous-time signals (the continuous waves), because of the discrete-time digital nature of information generation process in the developed/developing economies. The article considers the empirical theoretical approaches and reveals the possible practical technical limitations in relation to the modeling of the new types of the discrete-time digital signals generators for the Ledenyov digital waves generation in the economies of the scales and scopes at the time of globalization.