Given a typical demographic structure and dependency ratio, a post-industrial economy typically has less than 1000 h per capita per year available in the paid work sector (Giampietro et al., 2012). Given also the ![FMK]()
enormous requirement for human activity in the service and government sector of post-industrial FMK (600–700 h per capita per year; Giampietro et al., 2012) to guarantee the expected standard of living, the primary (EM and AG) and secondary (BM) production sectors have to compete for the remaining meagre supply of working hours (300–400 h per capita per year). Hence, we cannot expect to have a viable metabolic system if a significant share of the working hours must be invested in the energy or agricultural sector. This illustrates why MuSIASEM, and in particular the Sudoku analysis, is a useful simulator tool to assess scenarios and specific alternative energy technologies and agricultural production techniques. Observing the system from different perspectives (across different dimensions and different scales) increases the robustness of scenario analysis and simulations by providing a triangulation of information from different sources: top–down, bottom–up, expert judgment, and common sense.
enormous requirement for human activity in the service and government sector of post-industrial FMK (600–700 h per capita per year; Giampietro et al., 2012) to guarantee the expected standard of living, the primary (EM and AG) and secondary (BM) production sectors have to compete for the remaining meagre supply of working hours (300–400 h per capita per year). Hence, we cannot expect to have a viable metabolic system if a significant share of the working hours must be invested in the energy or agricultural sector. This illustrates why MuSIASEM, and in particular the Sudoku analysis, is a useful simulator tool to assess scenarios and specific alternative energy technologies and agricultural production techniques. Observing the system from different perspectives (across different dimensions and different scales) increases the robustness of scenario analysis and simulations by providing a triangulation of information from different sources: top–down, bottom–up, expert judgment, and common sense.