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What impairs the ‘money machine’ of VAT in developing countries?

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Abstract

The paper investigates the impact of VAT introduction in 127 developing countries on tax capacity and underlying mechanisms. Using difference-in-difference with VAT adopting neighbours as the instrumental variable, we show that VAT increases the share of tax in GDP. However, the increase is mostly channelled through the increase in effective tax rate, while creating an extra tax burden on the existing firms and leading to shrinking tax base. Moreover, the informational role of VAT is not as effective as usually alleged in broadening the tax base by inducing informal firms into the formal sector.

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Notes

  1. The regression results of Keen and Lockwood (2010) also support our choice of IV. They found that the VAT adoption of a country is affected by the adoption of VAT in neighbouring countries. However, Keen and Lockwood (2010) adopted two-step procedure to estimate a two-equation system. That differs from the 2SLS of IV estimation in our study and in Alavuotunki et al. (2019).

  2. We admit the fact that there is no perfect estimation for informal sector. However, we used the informal sector estimates to construct the explained variables. These are not subject to the endogeneity concern of measurement error that undermine the explanatory regressors. The measurement error of the informal sector estimates would not lead to bias estimation unless the measurement error itself is affected by the introduction of VAT. It only increases the standard error of the estimates.

  3. Čížek et al. (2017) show that there is a significant spatial correlation between the VAT introductions of neighbouring countries.

  4. Ufier (2014) also explains that normal regression techniques will provide biased estimates as countries that decided to introduce VAT may be fundamentally different from the ones that decided not to introduce.

  5. Ebeke and Ehrhart (2011) and Alavuotunki et al. (2019) use VAT neighbour share as the IV in their studies, and Ahlerup et al. (2015) use number of neighbouring countries with VAT in a two stage procedure to estimate the impact of VAT on tax revenue in sub-Saharan Africa.

  6. Permutation inference is widely used as a falsification test in many empirical studies in economics. Bertrand et al. (2004) treat the dates of the placebo interventions in each region as chosen at random to evaluate the performance of difference-in-difference. Abadie et al. (2010) apply it in the context of synthetic control methods. Kennedy (1995) and Rosenbaum (2002) provide a detailed discussion of the use of permutation inference in randomized experiments and observational studies.

  7. Nevertheless, the magnitude of these results could vary across countries due to differences in the VAT scheme. One such difference is the registration threshold. However, because of the unavailability of data on the registration threshold across countries and time, we cannot address the heterogeneous effect across countries.

  8. It is hard to attribute the increase in the total corporate tax revenue after VAT introduction to an increase in the number of corporate tax payers because many new VAT registrations could be unincorporated small businesses which do not pay the corporate income tax.

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Correspondence to Shawn Xiaoguang Chen.

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Appendix A

Appendix A

See Appendix Tables 7, 8, 9 and 10 and Figs. 3, 4, 5, 6, 7 and 8.

Table 7 Results of the event study
Table 8 First-stage results of the IV model
Fig. 3
figure 3

Countries introduced VAT by 1970 Source: Author estimation using VAT introduction data. In this map, countries shown in dark red colour are the countries that introduced VAT before 1970 (Color figure online)

Fig. 4
figure 4

Countries introduced VAT by 1980 Source: Author estimation using VAT introduction data. In this map, countries shown in dark red colour are the countries that introduced VAT between 1970 and 1980. Countries shown in light Red colour are the countries that introduced VAT before 1970 (Color figure online)

Fig. 5
figure 5

Countries introduced VAT by 1990 Source: Author estimation using VAT introduction data. In this map, countries shown in dark red colour are the countries that introduced VAT between 1980 and 1990. Countries shown in light Red colour are the countries that introduced VAT before 1980 (Color figure online)

Fig. 6
figure 6

Countries introduced VAT by 2000 Source: Author estimation using VAT introduction data. In this map, countries shown in dark red colour are the countries that introduced VAT between 1990 and 2000. Countries shown in light Red colour are the countries that introduced VAT before 1990 (Color figure online)

Fig. 7
figure 7

Countries introduced VAT by 2010 Source: Author estimation using VAT introduction data. In this map, countries shown in dark red colour are the countries that introduced VAT between 2000 and 2010. Countries shown in light Red colour are the countries that introduced VAT before 2000 (Color figure online)

Fig. 8
figure 8

Distribution of \(\hat{\varphi }\) estimated with placebo VAT introduction year. Source: Authors’ estimation. This graph shows the density of coefficient values of the placebo VAT introduction dummies in the random tests repeated 10,000 times. The dash vertical line shows the mean of the placebo VAT introduction coefficients. Extreme values are excluded using 1 percentile from each end. The solid vertical line shows the coefficient of actual VAT introduction dummy. Eighty-one per cent of the placebo VAT introduction coefficients are lower than the actual VAT introduction coefficient

Table 9 Effect of VAT on tax share—IV approach—for different income quantiles
Table 10 Effect of VAT on tax share—IV approach—for different regions

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Mudiyanselage, H.K., Chen, S.X. What impairs the ‘money machine’ of VAT in developing countries?. Int Tax Public Finance 29, 1128–1159 (2022). https://doi.org/10.1007/s10797-021-09705-x

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