scholarly journals Bank Excess Liquidity and Economic Growth in Waemu Countries: A Panel Data Approach

2018 ◽  
Vol 1 (2) ◽  
pp. 141
Author(s):  
PRAO Yao Seraphin

<p><em>This paper provides an empirical assessment of the relationship between banking, liquidity, investment, terms of trade, bank solvency ratio, financial development and economic growth in the WAEMU zone. The analysis focuses on 7 countries of the West African Economic and Monetary Union (WAEMU) and covers the period 1994-2015. Using the panel data approach, we show that economic growth is positively </em><em>related </em><em>with banking on liquidity. In addition, the results highlight the impact of bank liquidity on economic growth but mitigate when it is associated with the investment.</em></p>

2012 ◽  
Vol 12 (3) ◽  
pp. 1850263 ◽  
Author(s):  
Ekrem Erdem ◽  
Can Tansel Tugcu

The aim of this paper is to find a new answer to an old question “Is economic freedom good or not for economies?” which was refreshed after the Global Financial Crisis of 2008. For this purpose, the relationship between economic freedom and economic growth, and the relationship between economic freedom and total factor productivity in OECD countries were investigated by using panel data for the period of 1995-2009. Study employed the recently developed cointegration test by Westerlund (2007) and the estimation technique by Bai and Kao (2006) which account for cross-sectional dependence that is an important problem in the panel data studies. Although no significant relationship found between economic freedom and total factor productivity, cointegration analysis revealed that economic freedom matters for economic growth in OECD countries in the long-run, and estimation results showed that direction of the impact is negative.


Author(s):  
Song Qin ◽  
Zhenlei Wang ◽  
◽  
◽  

What is the level of non-performing loans in China’s banking sector and in different countries? Has the relationship between economic growth and the non-performing loan ratio changed? Is there a difference in the effect of the economic growth of different economies on the rate of non-performing loans in the banking sector? This study analyzes the relationship between economic growth and the non-performing loan ratios and characteristics of 13 countries from 2005-2014 based on quantile regression models with panel data. The results showed that the relationship between economic growth and the non-performing loan ratio was positive before the financial crisis in 2008 but was negative after 2008. The non-performing loan ratio in Canada, Mexico, and the US was low before 2008 and high after 2008. The impact of economic growth on the non-performing loan ratio was more significant for countries with a high non-performing loan ratio than for countries with a low non-performing loan ratio.


Author(s):  
Tchétché N’Guessan

This chapter examines the extent to which the new economic growth that began in 2000 in the West African Economic and Monetary Union (WAEMU) has led to the structural transformation of member countries. To answer this question, four indicators of structural transformation are used: the share of final consumption in the gross national product, the share of each sector in total production, the decline of agricultural employment, and the diversification of the exports of WAEMU member countries. After discussing these indicators in greater detail, the chapter provides a background on WAEMU as well as the evolution of economic growth in member countries. It then considers the structural transformation of the WAEMU economies and presents a SWOT analysis emphasizing these economies’ principal strengths, weaknesses, and opportunities, and the threats to them. It also offers recommendations for removing obstacles to the structural transformation of the WAEMU economies.


2017 ◽  
Vol 10 (10) ◽  
pp. 106
Author(s):  
Mohamed Lamine Mbengue ◽  
Mamadou Abdoulaye Konté

For about fifteen years, the banking system of the West African Economic and Monetary Union (WAEMU) has been characterized by excess liquidity. In this paper, we analyze the explaining factors of excess liquidity by considering regulations as key variables and a dynamic Panel Model is used on aggregate banking data covering the period from 1990 to 2013 for the methodology. Results show the following explaining factors: government’s deposits, credit granted to public companies and to central administration, the entry into force of the single agreement act, the act on financial relationships with foreign countries, and on the suppression of usurious transactions and interest rates, the obligation to publish the whole effective rate and the redefinition of new minima caps in terms of share capital.


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