An investigation of industry associations, association loops and economic complexity: Application to Canada and the United States

Chokri Dridi, Geoffrey J.D. Hewings

Research output: Contribution to journalArticle

Abstract

Various methods were proposed to understand the linkages in an input-output system; however, many have focused only on the identification of key sectors in the economy. An alternative approach, identifying analytically the importance of elements and combinations of elements was proposed as a field of influence theory (Sonis et al., 1996). The purpose of this paper is to offer a complementary approach to the field of influence and the so-called 'Matrioshka principal' (Sonis and Hewings, 1990); the objectives are to identify simple row-column associations (i.e. statistical dependence), seek hierarchical associations between supply and demand in input-output systems and the decomposition of economic complexity into finite stages. For the identification of simple dependencies between rows and columns, we use a log-linear regression and for hierarchical associations and the identification of complexity stages, we use the data analysis technique known as dual scaling. Results of both approaches will be applied to input-output tables of the US and Canada.

Original languageEnglish (US)
Pages (from-to)275-296
Number of pages22
JournalEconomic Systems Research
Volume14
Issue number3
DOIs
StatePublished - Sep 1 2002

Keywords

  • Dual scaling
  • Economic complexity
  • Industry associations
  • Loops

ASJC Scopus subject areas

  • Economics and Econometrics

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