assistance for low-income groups. According to the World Bank (2023),
public social expenditure in many post-Soviet countries increased from less
than 10% of GDP in the early 2000s to approximately 18–20% by the early
2020s. This trend reflects a growing role of the state in promoting social
inclusion; however, concerns regarding fiscal sustainability and policy
efficiency remain central, particularly in the context of commodity price
volatility, population aging, and recurring financial crises.
The economic literature offers differing perspectives on these
developments. On the one hand, some scholars argue that social benefits
stimulate aggregate demand and reduce inequality, thereby serving as key
drivers of inclusive growth (Korpi & Palme, 1998; Esping-Andersen, 2017).
On the other hand, critics contend that the expansion of the welfare state
may discourage labor market participation, increase dependency, and
contribute to fiscal imbalances (Barro, 2013; Tanzi & Schuknecht, 2000).
Empirical evidence from transition economies, however, remains limited,
fragmented, and often inconsistent.
This article attempts to address this gap in the literature by conducting
a comprehensive econometric analysis of the relationship between social
benefits and key macroeconomic variables in post-Soviet economies. More
specifically, the study examines whether higher levels of social spending
promote or constrain economic growth, job creation, and income
distribution. The analysis draws on data from a balanced panel of twelve
post-Soviet countries—Russia, Ukraine, Belarus, Kazakhstan, Armenia,
Azerbaijan, Georgia, Moldova, Kyrgyzstan, Tajikistan, Uzbekistan, and
Turkmenistan—covering the period from 2000 to 2023.
The principal hypothesis behind this study is that moderate, well-
targeted social benefits promote sustainable economic growth and reduce
social inequality, whereas inefficient or excessive welfare expansion funded
through fiscal deficits may generate inflationary pressures and fiscal risks.
To test this hypothesis, the study combines, initially, macroeconomic and
fiscal data and applies fixed-effects models to account for country-specific
heterogeneity, as well as dynamic GMM estimators to address the problem
of endogeneity between welfare spending and economic growth.