A New Vision of Classical Multi-regional Input–Output Models. Computational Economics. DOI: 10.1007/s10614-016-9624-x Halkos, G.E. & Tsilika, K.D. Comput Econ (2016). doi:10.1007/s10614-016-9624-x
A New Vision of Classical Multi-regional Input–Output Models. Computational Economics, 51(3): 571-594. (SCOPUS, EconLit, ISI Listed. Impact factor: 1.038 and 5-year: 0.941). In common with K. Tsilika (2018).
We present data structures from multiregional multisectoral trade activities from the perspective of networks. To illustrate our approach we make use of trade patterns taken from three classical input-output models. Unlike other conventional approaches by which networks statistics are evaluated, here, emphasis is given on recovering the structure architecture of trade in the input-output model. By self-explanatory visual outputs we display the interaction of the trading partners, the number of trade links, the intensity of interrelations. Our network approach traces the feedback loops among regions and activities. Connectivity and density are quantified by evaluating the node degrees. Some global structural properties are also examined. Programming in Mathematica allows for the creation of iterative schemes explaining aspects of the nature of trade and the evolution of spatial trading/production cycles in growing trading systems. Mathematica’s environment enables interactive visual schemes and infinite number of experiments.