Abstract
This article investigates the links between the technological evolution and the importance of informal economic activities. We examine the influences of internet usage on the shadow economy in a global sample between 2002 and 2015. With this purpose, we mobilize the panel fixed-effects estimate and the panel corrected standard errors estimate (as a robustness check) for the analysis of 114 economies (and three sub-samples including high-income economies (HIEs), upper-middle-income economies (UMEs), and lower-middle-income economies (LMEs)). Our results indicate that the use of the internet generally has a negative impact on the shadow economy. This influence of internet is consistent across all institutional environments. Interestingly, technology is not spread through the shadow economy in the same way everywhere since we observe a U-shaped relationship between internet usage and the shadow economy. Our research shows that technology might also have a negative influence on official activities if its implementation is not combined with an appropriate institutional policy allowing policy-makers to avoid the technology-side effects.
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Notes
Which is also named as shadow or underground economy.
We thank the anonymous reviewer for pointing this interesting aspect.
These indicators are: control of corruption, government effectiveness, political stability and absence of violence, rule of law, regulatory quality, voice and accountability.
One of a control variable of the shadow economy is Democracy. Since Author(s) do not have access to democracy index from Economist Intelligence Unit (EIU), while the voice and accountability from the World Bank is built based on information of democracy index of EIU. More importantly, “Voice and Accountability captures perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media” thus we use this indicator as alternative one.
Authors are thankful for the suggestions provided by the anonymous reviewers.
It is worth noticing that beside cross-sectional dependence, the literature suggests to check for the stationarity and cointegration of variables in panel data with long T. However, our sample has a short T (only 14 years), thus we do not carry out these tests in this analysis. We thank our anonymous reviewers for their comments on this matter.
Our robustness checks were consistent and robust – they can be provided on request.
In fact, an alternative strategy can be carried out in this case by using dummy variables for LMEs, UMEs, and HIEs and investigate their interaction with Internet usage. This strategy can help to compare the effects of Internet usage on the shadow economy across three income groups in comparison with global sample. In this study, we estimate the effect of Internet usage on the shadow economy by three subsamples. This choice cannot provide comparison with full sample, but it can account for any potential heteroscedastic effect of control variables on the shadow economy across three subsamples.
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Canh Phuc Nguyen, Binh Quang Nguyen and Duyen Thuy Le Tran receive funding from the University of Economics Ho Chi Minh City, Ho Chi Minh City (700000), Vietnam.
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Nguyen, C.P., Schinckus, C., Nguyen, Q.B. et al. Digitalization and informal economy: a global evidence of internet usage. J. Ind. Bus. Econ. 51, 1–37 (2024). https://doi.org/10.1007/s40812-023-00278-w
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DOI: https://doi.org/10.1007/s40812-023-00278-w