DISTRIBUTIONAL EFFECTS OF THE SHIFT FROM PROGRESSIVE TO FLAT-RATE TAXATION IN UZBEKISTAN
Ключевые слова
tax progressivity, Kakwani index, personal income tax, value-added tax, excise tax, inequality, microsimulation, Uzbekistan.
Аннотация
This study evaluates how major changes in Uzbekistan’s personal income tax
(PIT) and value-added tax (VAT) regimes altered the distributional structure of taxation during
2015–2025. The analysis combines official income-decile distributions, Gini coefficients,
household income composition, household final consumption expenditure and spending
composition with historically coded PIT and VAT rules. It applies the established Lorenz–
concentration-curve framework of Kakwani (1977), complemented by effective tax-burden
analysis and the Reynolds–Smolensky logic of redistribution. Because complete annual
household tax-payment microdata is not publicly available for the entire period, the paper is
explicitly designed as a real-data-anchored longitudinal microsimulation: official statistics and
legal tax schedules are observed inputs, whereas VAT/excise incidence and some PIT
distributional quantities are modeled. The progressive PIT schedules of 2015–2018 generate
positive simulated Kakwani indices of 0.1535–0.1778. Under the structural benchmark in which
the 12% post-2019 PIT is proportional to the ranking income base; PIT progressivity falls to zero.
Modeled VAT remains moderately regressive throughout the period, with Kakwani indices near
−0.05, while modeled excise incidence is more regressive. Reductions in the VAT rate from 20%
to 15% in 2020 and to 12% in 2023 lower the level of indirect taxation but do not mechanically
remove its relative regressivity. The results imply a shift from a tax mix containing a strong
progressive direct-tax component toward one in which that offset is substantially weaker. The
paper therefore distinguishes changes in statutory rates, progressivity, tax levels and
redistributive effects, and cautions against interpreting before/after movements as causal effects
without household-level counterfactual identification.