Financial development and growth: A clustering and causality analysis

William W. Chow, King Fai Fung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)

Abstract

This article examines the relationship between financial development and economic growth in a sample of 69 countries. A regime switching panel vector autoregression model is specified to detect directional changes in finance-growth causality and potential time variation of such causality patterns. In addition, a clustering analysis is performed to identify the presence of convergence clubs based on data properties. The findings show that most countries have switching between two states: one way causality from growth to financial development but not the other way round, and coexistence of bi-directional causality. Poorer countries are represented by a system with stable steady state while the clusters of advanced economies tend to exhibit multiple steady states. The clustering results map closely the degree of financial openness, and the cultural and geographical proximities of member countries.
Original languageEnglish
Pages (from-to)430-453
Number of pages24
JournalJournal of International Trade and Economic Development
Volume22
Issue number3
DOIs
Publication statusPublished - 1 Apr 2013

Keywords

  • economic growth
  • financial development
  • Granger causality
  • panel vector autoregression
  • regime switching

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Development
  • Aerospace Engineering

Cite this