Financial Access and Productivity Dynamics in Sub-Saharan Africa

Asongu, Simplice A.

doi:10.1080/01900692.2019.1664570

Cited by 38 publications

(27 citation statements)

References 112 publications

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“…The Penn World Table database is the source of the TFP dynamics, namely: TFP, real TFP, welfare TFP and real welfare TFP. In accordance with the motivational elements of this research articulated in the introduction, the main TFP is complemented with other dynamics in order to provide room for findings that are relevant to SDGs (Asongu 2020). Therefore, the adopted TFP variables are consistent with both productivity and the welfare implications of such output.…”

Section: Datamentioning

confidence: 82%

On the simultaneous openness hypothesis: FDI, trade and TFP dynamics in Sub-Saharan Africa

Asongu

Nnanna²,

Acha-Anyi

2020

Economic Structures

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The objective of this research is to assess the relevance of trade dynamics in moderating the effect of foreign investment on productivity dynamics in Sub-Saharan Africa. The study is tailored within the context of a simultaneous hypothesis such that foreign direct investment (FDI) is complemented with dynamics of trade to influence productivity. Accordingly, it is an improved framing of the Rajan and Zingales (2003) position that concurrent opening of trade and capital accounts will lead to greater output in a domestic economy. Moreover, the problem statement underlying this exposition is motivated within the broader context of: (i) debates in the contemporary literature on the relevance of total factor productivity (TFP) and (ii) gaps in the attendant literature. These motivational elements are expanded in the following passages. First, no consensus is apparent in the literature on the relevance of productivity in development outcomes in Africa. In essence, while a strand of studies posits that aggregate productivity is essential in boosting economic development, authors are still divided on the mechanisms through which productivity can be boosted (

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Section: Datamentioning

confidence: 82%

On the simultaneous openness hypothesis: FDI, trade and TFP dynamics in Sub-Saharan Africa

Asongu

Nnanna²,

Acha-Anyi

2020

Economic Structures

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“…It follows that the five seven-year data average is retained for the study, notably: 1980-1986; 1987-1993; 1994-2000; 2001-2007; 2008-2014. The four TFP dynamics used in the study are from the Penn World Table database. They are: TFP, real TFP, welfare TFP andreal welfare TFP. The choice of these variables is consistent with contemporary TFP literature in SSA (Asongu, 2020). In accordance with the extant ICT literature in Africa, two main ICT indicators from the World Development Indicators of the World Bank are adopted, namely: mobile phone penetration and internet penetration (Tchamyou, 2017;Efobi et al, 2018;Asongu, Biekpe & Tchamyou, 2019).…”

Section: Datamentioning

confidence: 90%

Enhancing ICT for productivity in sub-Saharan Africa: Thresholds for complementary policies

Asongu

Acha-Anyi

2020

African Journal of Science, Technology, Innovation and Developm

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The purpose of this research is to investigate the relevance of enhancing information and communication technology (ICT) on dynamics of total factor productivity (TFP) in 25 Sub-Saharan African countries using data covering the period 1980-2014. The empirical evidence is based on the Generalised Method of Moments. The following main findings are established. First, while enhancing ICT overwhelmingly has net positive effects on productivity, the corresponding marginal effects are negative. Second, anextended analysis is performed to establish thresholds for complementary policies. These thresholds are: 100 % mobile phone penetration for TFP; between 101.214 % and 101.419 % mobile phone penetration for welfare TFP and 15 % internet penetration for welfare real TFP. It follows that approximately 100% mobile penetration and 15% internet penetration are thresholds at which ICT should be complemented with other macroeconomic policies for favorable outcomes on productivity dynamics. Other policy implications are discussed.

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“…Accordingly, in GMM regressions the time dimension limits the potential number of control variables that can be involved in a regression exercise in order to avoid the proliferation of instruments, even when the option of collapsing instruments is involved in the estimation exercise (Asongu and Odhiambo, 2020;Asongu, 2019). Hence, using data averages enables this study to involve more control variables and limit potential concerns of instrument proliferation in post-estimation diagnostics tests.…”

Section: Data Description and Sourcementioning

confidence: 99%

The Impact of Tourism Development on Economic Growth in Sub-Saharan Africa

2020

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This study examines the dynamic impact of tourism development on economic growth in sub-Saharan Africa (SSA) using the Generalised Method of Moments and data covering the period from 2002 to 2018. The increasingly important role of tourism and the limelight the tourism sector has been enjoying of late, on the one hand, and the lack of sufficient coverage of tourism-growth nexus studies in Africa in general and in SSA in particular, motivated this study. Unlike most of the known panel data-based studies on tourism development and economic growth, this study has split the sub-Saharan African countries into low-income and middle-income sub-Saharan African countries. The results of the study show that tourism expenditure negatively affects economic growth while tourism receipts have the opposite effect in SSA. The findings are robust to the low-income sub-sample while only the effect of tourism expenditure is robust in the middle-income sub-sample.

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Financial Access and Productivity Dynamics in Sub-Saharan Africa

Cited by 38 publications

References 112 publications

On the simultaneous openness hypothesis: FDI, trade and TFP dynamics in Sub-Saharan Africa

On the simultaneous openness hypothesis: FDI, trade and TFP dynamics in Sub-Saharan Africa

Enhancing ICT for productivity in sub-Saharan Africa: Thresholds for complementary policies

The Impact of Tourism Development on Economic Growth in Sub-Saharan Africa

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