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Financial development and growth: A clustering and causality analysis

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  • William W. Chow
  • Michael K. Fung

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.

Suggested Citation

  • William W. Chow & Michael K. Fung, 2013. "Financial development and growth: A clustering and causality analysis," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 22(3), pages 430-453, April.
  • Handle: RePEc:taf:jitecd:v:22:y:2013:i:3:p:430-453
    DOI: 10.1080/09638199.2011.570364
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    Cited by:

    1. Khalil Mhadhbi & Chokri Terzi & Ali Bouchrika, 2020. "Banking sector development and economic growth in developing countries: a bootstrap panel Granger causality analysis," Empirical Economics, Springer, vol. 58(6), pages 2817-2836, June.
    2. Ebru TOPCU Author- Workplace-Name: Nevsehir Haci Bektas Veli University, Department of Economics, Turkey, 2016. "Reexamining Finance-Growth Nexus: A New Literature Survey," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(Special I), pages 1-7, august.
    3. Michael Adusei & Samuel Yaw Akomea & Ralph Nyadu-Addo, 2014. "Predicting Bank Credit Risk: Does Board Structure Matter?," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(5), pages 59-70.
    4. Cong Tam Trinh & Minh-Tri Ha & Nhut Quang Ho & Tho Alang, 2023. "National culture, public health spending and life insurance consumption: an international comparison," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    5. Khan, Muhammad Asif & Khan, Muhammad Atif & Abdulahi, Mohamued Elyas & Liaqat, Idrees & Shah, Sayyed Sadaqat Hussain, 2019. "Institutional quality and financial development: The United States perspective," Journal of Multinational Financial Management, Elsevier, vol. 49(C), pages 67-80.
    6. repec:prg:jnlpep:v:preprint:id:646:p:1-21 is not listed on IDEAS
    7. Muhammad Atif Khan & Muhammad Asif Khan & Kishwar Ali & József Popp & Judit Oláh, 2020. "Natural Resource Rent and Finance: The Moderation Role of Institutions," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    8. Kaodui Li & Yusheng Kong & Sampson Agyapong Atuahene & Geoffrey Bentum-Micah & Michael Kwakye Agyapong, 2020. "Corporate Governance and Banking Stability: The Case of Universal Banks in Ghana," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 1), pages 325-352.
    9. Hossein Hassani & Xu Huang & Mansi Ghodsi, 2018. "Big Data and Causality," Annals of Data Science, Springer, vol. 5(2), pages 133-156, June.
    10. Sinem Guler Kangalli Uyar & Umut Uyar, 2018. "Quantile Parameter Heterogeneity in the Finance-Growth Relation: The Case of OECD Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(1), pages 92-112.

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