The purpose of this paper is to revisit the Granger causal relationship between banking sector development and economic growth for forty developing countries in the period 1970-2012. In order to capture the different aspects of banking sector development, we develop two banking sector development indices and apply the panel bootstrapped approach to Granger causality testing approach properly taking into account cross-sectional dependence and heterogeneity issues. The empirical results show limited support for the supply-leading, demand-following and complementarity hypotheses. Our results also provide evidence as the causal relationship between banking sector development and economic growth exists in twenty five countries.
Tax policy is among the most common and relevant instruments in the toolkit of policy-makers when thinking about promoting growth, yet there is not compelling evidence regarding its effect in Tunisia. Using a variety of approaches, we measure firstly the optimal tax burden rate using Scully's static model and the quadratic model. For Scully's static model, gross domestic product is the dependent variable. For the quadratic model, growth rate is a dependent variable explained by tax rate in level and in square. Secondly and according to stationary and cointegration test results, we focus on the long-term effects on gross domestic product of the important taxes, namely tax revenue and private receipts. In this second study, we use a basic Scully model and we develop a vector error correction model technique. Our results show that optimal tax burden rate has to be situated between 12.8% and 19.6% of gross domestic product which is widely lower than the current rates. The long-term analysis estimates an optimal rate of 14% of gross domestic product which can participate to increase economic growth, to stabilize the tax evasion and to encourage investment especially after the Tunisian revolution.
This paper tracks the financial growth in Tunisia over the period 1984–2016 with a special focus on the shadow economy. Using Tanzi's measures, we worked on a nonlinear autoregressive distributed lag (NARDL) model to test the impact of the informal economy. The results suggest that the long‐run effect of the financial growth becomes negative if there is a positive change in the shadow economy and the opposite holds. While changes in the shadow economy have no significant influence on the links between financial development and economic growth in the short run, they play a significant role in the Tunisian economy in the long run.
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