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Democracy and international financial integration in Pakistan

Democracy and international financial integration in Pakistan PurposeThe purpose of the study is to investigate the relationship between international financial integration (IFI) index and democracy (DEM) in Pakistan by using long-time series data from 1975 to 2013.Design/methodology/approachThe IFI index is constructed by principal component analysis. IFI consists of foreign direct investment (FDI), remittances (REM) and external debt (ED), whereas the Polity IV index is used for DEM. Johansen and the autoregressive distributed lag method for cointegration methods are used to find a long run relationship. Dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS) and canonical regression (CR) have been used to find the nature of the relationship. Rolling window analysis has been done to find the year wise coefficients.FindingsDOLS, FMOLS, canonical regression CR and cointegration results suggest a significant negative long-run relationship between IFI and DEM in Pakistan. Rolling windows analysis highlights that DEM has improved IFI in Pakistan from 2008 to 2013.Originality/valueThis study constructs an index for financial integration using principle component analysis on capital inflows, i.e. FDI, REM, ED, to explore the impact of DEM on IFI in Pakistan from 1975 to 2013. This study investigates for the first time ever the relationship between IFI index and DEM in Pakistan. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Indian Growth and Development Review Emerald Publishing

Democracy and international financial integration in Pakistan

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References (78)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1753-8254
DOI
10.1108/IGDR-07-2016-0031
Publisher site
See Article on Publisher Site

Abstract

PurposeThe purpose of the study is to investigate the relationship between international financial integration (IFI) index and democracy (DEM) in Pakistan by using long-time series data from 1975 to 2013.Design/methodology/approachThe IFI index is constructed by principal component analysis. IFI consists of foreign direct investment (FDI), remittances (REM) and external debt (ED), whereas the Polity IV index is used for DEM. Johansen and the autoregressive distributed lag method for cointegration methods are used to find a long run relationship. Dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS) and canonical regression (CR) have been used to find the nature of the relationship. Rolling window analysis has been done to find the year wise coefficients.FindingsDOLS, FMOLS, canonical regression CR and cointegration results suggest a significant negative long-run relationship between IFI and DEM in Pakistan. Rolling windows analysis highlights that DEM has improved IFI in Pakistan from 2008 to 2013.Originality/valueThis study constructs an index for financial integration using principle component analysis on capital inflows, i.e. FDI, REM, ED, to explore the impact of DEM on IFI in Pakistan from 1975 to 2013. This study investigates for the first time ever the relationship between IFI index and DEM in Pakistan.

Journal

Indian Growth and Development Review – Emerald Publishing

Published: Apr 10, 2017

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