Corpus ID: 218862703

Identifying Key Sectors in the Regional Economy: A Network Analysis Approach Using Input-Output Data.

@article{DePaolis2020IdentifyingKS,
  title={Identifying Key Sectors in the Regional Economy: A Network Analysis Approach Using Input-Output Data.},
  author={F. DePaolis and P. Murphy and M. C. Kaluza},
  journal={arXiv: General Economics},
  year={2020}
}
  • F. DePaolis, P. Murphy, M. C. Kaluza
  • Published 2020
  • Computer Science, Economics, Physics
  • arXiv: General Economics
  • By applying network analysis techniques to large input-output system, we identify key sectors in the local/regional economy. We overcome the limitations of traditional measures of centrality by using random-walk based measures, as an extension of Blochl et al. (2011). These are more appropriate to analyze very dense networks, i.e. those in which most nodes are connected to all other nodes. These measures also allow for the presence of recursive ties (loops), since these are common in economic… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 41 REFERENCES
    Vertex centralities in input-output networks reveal the structure of modern economies.
    95
    An economic network in Nonth America
    2
    Key Sectors: A New Proposal from Network Theory
    35
    Approaches to identifying key sectors empirically by means of input‐output analysis
    126
    Modelling Linkages Versus Leakages Networks: The Case Of Spain
    4
    Cluster Regions
    34