UPM Institutional Repository

Political institutions and finance-growth nexus in emerging markets and developing countries: a tale of one threshold


Citation

Slesman, Ly and Baharumshah, Ahmad Zubaidi and Wan Ngah, Wan Azman Saini (2019) Political institutions and finance-growth nexus in emerging markets and developing countries: a tale of one threshold. Quarterly Review of Economics and Finance, 72. pp. 80-100. ISSN 1062-9769; ESSN: 1878-4259

Abstract

The empirical evidence predicts that political institutions are the core component of institutional matrix. They set stages for other institutions to be devised and influence the economic growth. Applying Kremer et al.’s (2013) dynamic panel threshold regression to a selected panel of 77 emerging market and developing countries over the period 1976–2010, we provide compelling evidence in favor of a split base on political institutions in the finance-growth nexus. The asymmetric impact of institutions on growth sets in around the optimum threshold level. Minimizing political risks through improvement in the quality of political institutions can improve the growth dividend due to financial development. Our empirical results appear to be robust across a wide range of alternative empirical strategies, several new disaggregate measures of political institutions, and also when addressing the endogeneity issues of the regressors.


Download File

[img] Text (Abstract)
Political institutions and finance-growth nexus in emerging markets and developing countries a tale of one threshold.pdf

Download (61kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Economics and Management
DOI Number: https://doi.org/10.1016/j.qref.2019.01.017
Publisher: Elsevier
Keywords: Political institutions; Panel threshold model; Financial development; Economic growth; Developing economies
Depositing User: Ms. Nida Hidayati Ghazali
Date Deposited: 08 Oct 2020 02:19
Last Modified: 08 Oct 2020 02:19
Altmetrics: https://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.qref.2019.01.017
URI: http://psasir.upm.edu.my/id/eprint/81753
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item