Entropy-based Chinese city-level MRIO table framework

Cities are pivotal hubs of socioeconomic activities, and consumption in cities contributes to global environmental pressures. Compiling city-level multi-regional input-output (MRIO) tables is challenging due the scarcity data. Here we propose an entropy-based framework construct MRIO tables. We demonstrate new construction method present analysis carbon footprint China's Hebei province. A sensitivity conducted by introducing a weight reflecting heterogeneity between city province data, as important source uncertainty degree which provinces have identical ratio intermediate demand total demand. compare consumption-based emissions generated from results based on individual The findings reveal large discrepancy two but this conflicting benchmark data used