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The multidimensional effect of financial development on the shadow economy in Africa: A dynamic panel analysis approach

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Abstract

The relationship between financial development and economic growth has received much attention in developed countries in the last three decades. However, empirical study on how multidimensional levels of financial development affect the shadow economy in developing countries has received less attention. The paper's analysis begins with theoretical perspectives on the shadow economy's evolution. Using panel data from 42 African countries from 1990 to 2018, this paper addresses these research gaps by employing a battery of econometric techniques such as pooled ordinary least squares (OLS), fixed effects (FE), and system generalized method of moments (S-GMM). The results indicate that financial development is associated with a smaller size of shadow economy in Africa. On multidimensional levels, financial institutions (depth, access, and efficiency) have a negative and statistically significant impact on the shadow economy. Although financial markets are positively associated to the shadow economy, the greater impact of this is driven by financial depth and access. The findings suggest that African countries undertake credit market reforms to address financial market imperfections.

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Fig. 1

Source: Calculated by the author based on Medina and Schneider (2019), and Elgin et al. (2021) datasets

Fig. 2

Source: Calculated by the author based on IMF-Financial Development Index Database, 2020

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Data availability

All data is freely available online and can be obtained from the author upon reasonable request.

Code availability

Standard software is used (STATA version 13).

Notes

  1. The term "black market" is widely used in African countries, and it refers to market transactions that are carried out illegally, either at night or in a location where the authorities are not present.

  2. The concept is used interchangeably in existing literature (Berdiev and Saunoris 2016; Schneider and Enste 2000; Tanzi 1980, 1983; Thomas 1999).

  3. Medina and Schneider (2019)’s data refers to Shadow1.

  4. Elgin et al. (2021)’s data refers to Shadow2.

  5. See, Tanzi (1999), Schneider and Enste (2000), Capasso and Jappelli (2013), Berdiev and Saunoris (2016).

  6. See, among others Tanzi (1999), Schneider and Enste (2000), (Capasso & Jappelli 2013), Berdiev and Saunoris (2016), World Bank (2019).

  7. See, Table 10 (Appendix).

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Acknowledgements

I would like to thank Joshua Duarte, Ricardo Sousa, and other participants of the European Economics and Finance Society's 19th Annual EEFS Conference, which was held online in collaboration with the Department of Economics at City University of London and FernUniversitat Hagen from June 23rd to June 25th, 2021, for their helpful comments that helped improve this paper.

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Correspondence to Emmanuel U. Haruna.

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Appendix 1

Appendix 1

Table 10

Table 10 List of African Countries

Table 11

Table 11 Pairwise correlation matrix

Table 12

Table 12 Definitions of the variables used in the empirical analysis

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Haruna, E.U. The multidimensional effect of financial development on the shadow economy in Africa: A dynamic panel analysis approach. Int Econ Econ Policy 20, 327–365 (2023). https://doi.org/10.1007/s10368-023-00561-0

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