A New Vision of Classical Multi-regional Input–Output Models

We present classical multi-regional multi-sectoral input–output trade structures from the perspective of networks. Unlike existing approaches by which dynamic changes in structures are studied, here, emphasis is given on recovering the stable structure architecture of interrelations in the input–output model. By self-explanatory visual outputs we display the connectivity patterns, interactions of the trading partners, the number of trade linkages per trader and the density of interrelations of the network. Our network analysis traces causal relationships, feedback loops and examines certain global structural properties. The whole computational approach is implemented in Mathematica. Our programming style allows for the creation of iterative schemes explaining the the linkage development among sectors, the influence of regions and sectors system-wise, aspects of the nature of trade and, the evolution of spatial trading/production cycles in growing trading networks.

[1]  George Halkos,et al.  A Dynamic Interface for Trade Pattern Formation in Multi-regional Multi-sectoral Input-output Modeling , 2015 .

[2]  A. Wilhite,et al.  Bilateral Trade and ‘Small-World’ Networks , 2001 .

[3]  Alessandro Chessa,et al.  World Input-Output Network , 2014, PloS one.

[4]  Hans M. Amman,et al.  An agent-based evolutionary trade network simulation , 2003 .

[5]  Reinhard Diestel,et al.  Graph Theory , 1997 .

[6]  W. Isard.  Interregional and Regional Input-Output Analysis: A Model of a Space-Economy , 1951 .

[7]  Hans M. Amman,et al.  Intermediaries in an Electronic Trade Network , 2003 .

[8]  Eugenio M. Fedriani,et al.  Fundamental Products and Autonomous Sets: An Algorithmic Approach , 2015 .

[9]  Leigh Tesfatsion,et al.  A C++ Platform for the Evolution of Trade Networks , 1999 .

[10]  Ina Drejer.  Comparing Patterns of Industrial Interdependence in National Systems of Innovation - A Study of Germany, the United Kingdom, Japan and the United States , 2000 .

[11]  Manfred Lenzen,et al.  BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION , 2013 .

[12]  D. Garlaschelli,et al.  Structure and evolution of the world trade network , 2005, physics/0502066.

[13]  Roger F. Riefler,et al.  INTERREGIONAL INPUT-OUTPUT: AN EMPIRICAL CALIFORNIA-WASHINGTON MODEL , 1970 .

[14]  S. Managi,et al.  Determinants of trade in recyclable wastes: evidence from commodity-based trade of waste and scrap , 2013, Environment and Development Economics.

[15]  Giorgio Fagiolo,et al.  On the Topological Properties of the World Trade Web: A Weighted Network Analysis , 2007, 0708.4359.

[16]  David F. Batten,et al.  Classical versus modern approaches to interregional input-output analysis , 1985 .

[17]  Kyriaki D. Tsilika,et al.  Trading Structures for Regional Economies in CAS Software , 2016 .

[18]  M. Sonis,et al.  The structure of multi-regional trade flows: hierarchy, feedbacks and spatial linkages , 1995 .

[19]  Ana Salomé García Muñiz,et al.  Key Sectors: A New Proposal from Network Theory , 2008 .

[20]  F. Aroche-Reyes.  Important Coefficients and Structural Change: A Multi-layer Approach , 1996 .

[21]  Shunsuke Managi,et al.  Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold , 2013 .

[22]  A. Muñiz.  Input–output research in structural equivalence: Extracting paths and similarities , 2013 .

[23]  Jan Oosterhaven,et al.  Spatial Economic Structure and Structural Changes in the EC: Feedback Loop Input–Output Analysis , 1993 .

[24]  Ángel F. Tenorio,et al.  Simplifying the input–output analysis through the use of topological graphs , 2012 .

[25]  Sandro Montresor,et al.  APPLYING SOCIAL NETWORK ANALYSIS TO INPUT–OUTPUT BASED INNOVATION MATRICES: AN ILLUSTRATIVE APPLICATION TO SIX OECD TECHNOLOGICAL SYSTEMS FOR THE MIDDLE 1990s , 2009 .

[26]  Ali Kaveh,et al.  Optimal Analysis of Structures by Concepts of Symmetry and Regularity , 2013 .

[27]  T. Gregori,et al.  Assessing Aggregate Structural Change , 1999 .

[28]  J. A. Olsen.  Input-output models, directed graphs and flows in networks , 1992 .

[29]  Giorgio Fagiolo,et al.  Null models of economic networks: the case of the world trade web , 2011, 1112.2895.

[30]  K. E. Studer,et al.  Structural analysis using the input-output model: With special reference to networks of science , 1984, Scientometrics.

[31]  Leigh Tesfatsion,et al.  A computational laboratory for evolutionary trade networks , 2001, IEEE Trans. Evol. Comput..

[32]  H. Schnabl.  The Evolution of Production Structures, Analyzed by a Multi-layer Procedure , 1994 .

[33]  Brian Wixted,et al.  Input-Output Analysis in an Increasingly Globalised World , 2006 .

[34]  J. McNerney.  Network Properties of Economic Input-Output Networks , 2009 .

[35]  Brian D. Fath,et al.  Network structure of inter-industry flows , 2012, ArXiv.

[36]  L. Tajoli,et al.  The World Trade Network , 2011 .

[37]  Gang Liu,et al.  Bringing Order to the World Trade Network , 2012 .

[38]  Florian Blöchl,et al.  Vertex centralities in input-output networks reveal the structure of modern economies. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[39]  David A. Smith,et al.  Structure and Dynamics of the Global Economy: Network Analysis of International Trade 1965–1980 , 1992 .

[40]  Xiaoping Hu,et al.  Structure and Location of Innovative Activity in the Italian Economy, 1981–85 , 1994 .

[41]  Y. Okuyama,et al.  The Role of Interregional Trade in Generating Change in the Regional Economies of Japan, 1980-1990 , 2000 .

[42]  Roland Lantner,et al.  Spatial dominance: a new approach to the estimation of interconnectedness in regional input-output tables , 2004 .

[43]  H. Schnabl.  The Subsystem—MFA: A Qualitative Method for Analyzing National Innovation Systems—The Case of Germany , 1995 .

[44]  J. A. Poutré,et al.  The Role of Information in an Electronic Trade Network , 2002 .