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List of variables used in the model and description

List of variables used in the model and description

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Article
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In the present era of globalization, broadband penetration which indicates access to high-speed internet has allowed the transferring of information in a way that was never observed before. With the growing world-wide investment and attention received by broadband infrastructure, this study examines the relationship between broadband penetration an...

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Context 1
... Japan, South Korea and Saudi Arabia were excluded due to unavailability of data. Table 1 contains the variables used in the model. The subscripts i and t correspond to country and time values, respectively. ...
Context 2
... Japan, South Korea and Saudi Arabia were excluded due to unavailability of data. Table 1 contains the variables used in the model. The subscripts i and t correspond to country and time values, respectively. ...

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... Digital technologies promote economic and social development by reducing business costs and enhancing the proficiency and output of firms (Bon et al., 2016;Kurniawati, 2020). Salahuddin and Gow (2016), and Alam et al. (2019) also justified that reasonable investment in ICT infrastructure enhanced the level of economic growth. They gave much importance to the role of ICT as an enabler for economic and social development. ...
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... David and Grobler (2020), in an empirical study on the impact of ICT on the economic development of African countries, concluded that the implementation of mobile telecommunications has grown faster than other ICT, with a positive effect on economic growth and, as such, recommend more significant investments in terms of fixed-line and internet infrastructures as found in studies of Salahuddin and Alam (2016) and Haftu (2019). However, the broadband penetration rate is slower in developing countries, contributing positively to economic growth (Alam et al., 2019;Mayer et al., 2020) but less intensively and more slowly (Habibi & Zabardast, 2020;Thompson & Garbacz, 2011). Myovella et al. (2020) studied 41 countries in Sub-Saharan Africa and 33 OECD countries from 2006 to 2016 and found a positive relationship between digitalization and economic growth. ...
... The rapid growth of broadband infrastructures affects countries with low income more positively (Salahuddin & Alam, 2016), one of the main factors contributing to the economic growth of developing countries (Haftu, 2019). On the other hand, the broadband penetration rate is slower in developing countries, and the increasing and progressive penetration create prospects for economic prosperity in these countries (Alam et al., 2019;Mayer et al., 2020). Habibi and Zabardast (2020) and Thompson and Garbacz (2011) found in more developed countries with the latest and most advanced technology. ...
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... Email: laureti@lum.it either in medium income countries [10], [11]. The development of broadband penetration infrastructures improves total factor productivity and GDP growth [12]. ...
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... For all these motivations it is important to analyze the question of broadband penetration for its role in promoting digitalization and innovation technology. Broadband penetration requires investments in fiber optics (Agboje, Adedoyin and Ndujiuba 2017, [1][2][3][4][5][6][7][8][9][10][11][12]. There is a positive relationship between broadband penetration and the economic growth in Asia either in high income countries either 1 Strada Statale 100 km 18, 70010 Casamassima, Bari, Puglia, Italy, EU. in medium income countries (Kurniawati 2021), (Alam, Sultana and Rayhan 2019). ...
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Chapter
Technological innovation has become a major channel through which financial development drives economic growth, and the chapter attempted to provide evidence for this, using data for sub-Saharan Africa (SSA). For its theoretical foundation, the study extended the endogenous growth theory by incorporating information and communication technology (ICT) diffusion as a possible catalyst causing financial development to affect economic growth based on the supply-leading and demand-following hypotheses. Following existing literature, the study constructed an ICT diffusion index, using principal component analysis (PCA) and a dataset representing mobile phone subscribers per 100 people, fixed telephone line subscriber per 100 people and broadband Internet subscribers per 100 people. The study used the growth rate of GDP as the dependent variable, while financial development and economic openness were the independent variables. The study adopted the pooled mean group estimator of the autoregressive distributed lag (ARDL) model to analyse the data, which covered the period 2000 to 2020. The results showed that in the long run, while the ICT index drove growth, the interaction of financial development with the ICT index was significantly negative for growth in SSA. Therefore, this result did not support the supply-leading hypothesis. A tenable reason for this finding could be the inability of private credit to drive output expansion and the challenge of financial inclusion in Africa. Therefore, this study led to the recommendation that countries in SSA should channel private credit to value-added activities and increase financial inclusion so that innovation can drive economic growth through financial development.KeywordsICTDiffusionFinance-growth nexusSub-Saharan Africa