Credit Market Development and Economic Growth
Athanasios Vazakidis and Antonios Adamopoulos
DOI : 10.3844/ajebasp.2009.34.40
American Journal of Economics and Business Administration
Volume 1, Issue 1
Problem statement: This study investigated the relationship between credit market development and economic growth for Italy for the period 1965-2007 using a Vector Error Correction Model (VECM). Questions were raised whether economic growth spurs credit market development taking into account the negative effect of inflation rate on credit market development. This study aimed to investigate the short-run and the long-run relationship between bank lending, gross domestic product and inflation rate applying the Johansen cointegration analysis. Approach: For this objectives unit root tests were carried out according to Dickey-Fuller (1979) and Johansen cointegration analysis was applied to examine whether the variables are cointegrated of the same order taking into account the maximum eigenvalues and trace statistics tests. Finally, a vector error correction model was selected to investigate the long-run relationship between economic growth and credit market development. Results: A short-run increase of economic growth per 1% induces an increase of bank lending 0.4% in Italy, while an increase of inflation rate per 1% induces a relative decrease of bank lending per 0.5% in Italy. The estimated coefficient of error correction term is statistically significant and has a negative sign, which confirms that there is not any a problem in the long-run equilibrium between the examined variables. Conclusions: The empirical results indicated that economic growth has a positive effect on credit market development, while inflation rate has a negative effect. Bank development is determined by the size of bank lending directed to private sector at times of low inflation rates leading to higher economic growth rates.
© 2009 Athanasios Vazakidis and Antonios Adamopoulos. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.