2016年-IMF国际货币组织全球_Republic_of_Lithuania_Selected_Issues_24页_670kb

报告摘要

Summary of Selected Issues on Inequality and Income Distribution in Lithuania

Core Content

This paper analyzes income inequality in Lithuania within the context of the European Union (EU) and Central and Eastern Europe (CEE), focusing on trends, causes, and potential policies to address inequality. It highlights that despite recovery from the 2008-09 crisis and reasonable development indicators, Lithuania maintains one of the highest levels of income inequality in the EU. The paper emphasizes the economic and social implications of inequality, including reduced growth potential, financial fragility, and emigration trends.

Main Points

A. Why do we worry about inequality?

Moderate inequality can incentivize investment in human and physical capital.
Excessive inequality can hinder economic performance and equality of opportunity.
Four key reasons for concern:
1. Access to essential services: High inequality limits access to housing, education, and health care for lower-income groups.
2. Financial fragility: Low-income individuals are more vulnerable to economic shocks.
3. Perpetuation of inequality: Inequality is often linked to unequal opportunities and political influence.
4. Emigration: Inequality can drive emigration, which in turn affects domestic labor markets and income distribution.

Key Findings

B. How Unequal is Lithuania?

High inequality persists in Lithuania, ranking fourth in the EU after Bulgaria, Estonia, and Latvia.
Income distribution is skewed, with the top 20% receiving 6.1 times the income of the bottom 20%.
At-risk-of-poverty rate (ARP) is 11% higher than the EU-28 average, and the population at risk of poverty is growing.
Income mobility is lower than in other EU countries, with more downward mobility during the crisis and post-crisis periods.

Factors Contributing to Inequality

C. Causes of Inequality

Low living standards: Average gross wages are only around €750 per month, pushing many into poverty traps.
Weak public expenditure: Social protection spending is only 14.5% of GDP, the second lowest in the EU.
Unbalanced tax structure:
- Heavy reliance on labor and consumption taxes, with little taxation on capital and wealth.
- Taxes on capital are among the lowest in the EU, and wealth taxes are near-zero.
- Social security contributions are a major source of revenue, but direct taxes play a minor role.
Low tax progressivity: The tax system is not as progressive as in other EU countries.
High GDP volatility: Income volatility is over 2.5 times the EU average, making it difficult for low-income individuals to smooth consumption and invest.

Policy Recommendations

D. Policies to Tackle Inequality

Structural reforms to reduce unemployment and boost growth can raise incomes and alleviate inequality.
Tax and benefit reforms are needed to increase redistribution, especially through a more progressive tax system.
Social protection must be strengthened, as current levels are insufficient to mitigate inequality effectively.
Combining policies in a budget-neutral package can help reduce inequality without sacrificing fiscal sustainability.

Conclusions

E. Conclusions

Income inequality in Lithuania is among the highest in the EU and has not significantly decreased since the 2008-09 crisis.
The causes of inequality are multifaceted, involving low wages, limited public spending, and an unbalanced tax system.
Policies that enhance growth and improve the redistributive capacity of the state are essential for reducing inequality.
The intergenerational and gender-based income disparities are particularly pronounced in Lithuania compared to other EU and CEE countries.

Key Indicators and Data

Gini coefficient: Lithuania's Gini coefficient is close to the EU-28 average and higher than in most CEE countries.
Unemployment rate and GINI correlation: There is a positive and significant correlation between unemployment and inequality, with a coefficient of around 0.3.
Income distribution by quintiles and deciles: The top 20% receive significantly more income than the bottom 20%, with a ratio of 6.1.
ARP rates: One-fifth of the population is at risk of poverty, higher than in most EU countries.
Income mobility: Downward mobility dominates, especially in the post-crisis period.

Summary of Figures and Tables

Figure 1: Gini Indices and At-Risk-of-Poverty Rates

Lithuania has high Gini coefficients and ARP rates compared to EU-28 and CEE countries.
The ARP rate is 11% above the EU-28 average.

Figure 2: Income Distribution by Quintiles and Deciles

Income is more skewed in Lithuania than in most EU and CEE countries.
The top decile earns significantly more than the bottom decile.

Figure 3: Relative Income Inequality and Income Mobility

Employment status, age, household structure, and educational attainment are major drivers of inequality.
Unemployed and retirees have significantly lower median incomes compared to the general population.
Gender inequality is pronounced, with male median income 4% higher than the total and female median income 2.5% lower.
Households with many children have much lower median incomes.
Educational inequality is particularly severe, with secondary-educated individuals earning over 40% more than the total median income.

Table 1: Correlation between Unemployment Rate and GINI Coefficient

A positive correlation exists between unemployment and inequality, with a coefficient of 0.341 over 1992–2012.
This correlation helps explain why inequality affects specific age groups more in Lithuania than elsewhere.

Key Policy Implications

Structural unemployment is a major contributor to inequality and must be addressed.
Reforms of the tax and benefit system are necessary to improve redistribution.
Social protection needs to be expanded to reduce poverty and inequality.
Fiscal policy should be more counter-cyclical to reduce income volatility.