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In this paper, we attempt to analyze the dynamic interplay between Bitcoin, social media, and the Covid-19 health crisis. For this end, we apply the fractional autoregressive vector model, fractional error correction model and impulse response functions on daily data over the period 31/12/2019-30/10/2020. Our results clearly show the short- and long-term evidence of the nexus between the Bitcoin price, social media metrics (Tweets and Google Trends) and the intensity of the Covid-19 pandemic. As well, the Covid-19 pandemic does not impact on social media metrics in the short- and long-term. On the other hand, the Covid-19 pandemic positively affects social media metrics. Also, the Covid-19 pandemic encourages investing in digital currencies such as Bitcoin. So, the Covid-19 health crisis significantly influences social media networks and Bitcoin prices.

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In this paper, we try to investigate the contribution of digitalization on economic growth in both developed and developing countries over the period 1990-2020. For this end, different econometric tools are applied on a panel dataset. Overall, we show that the digital technologies seem to significantly and positively affect economic growth in both groups of countries. The digitalization impact level tends to differ across countries. Our empirical results also display that the short- and long-term relationship between information and communication technologies and economic growth is well documented. Such results can be useful for policymakers to enhance the digital economy and provide novel channels to develop adequate policies and promote new institutions. So, benefits from digitalization can lead to realize substantial economic growth.

This paper provides a comprehensive review of the literature on the dual effect of financial liberalization over more than three decades, starting from the independent contributions of Ronald I. McKinnon and Edwards S. Shaw on this topic. In this regard, the paper revisits the effects of financial liberalization and governance on growth. Moreover, it presents a summary of current research in this area, covering the conclusions of the endogenous growth models, issues on volatility and the relationship between financial liberalization, institutions, governance and economic growth. To study data of 54 countries from 1985 to 2010 and because the nexus between financial liberalization and economic growth is nonlinear and depends on specific national factors especially institutions quality and governance, the Panel Smooth Transition Regression (PSTR) model is used. The main result of this study shows that a better contribution of financial liberalization to economic growth requires the interrelationship and the complementarity between financial liberalization and governance. Overall, regardless of the level of liberalization, output income is always higher with better governance and institutions.

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