2019年-IMF国际货币组织全球_Republic_of_Poland_Selected_Issues_28页_1mb
报告摘要
Summary of Selected Issues on the Republic of Poland
Core Content
This document provides an analysis of wage growth and total factor productivity (TFP) in Poland, focusing on both long-term and short-term factors influencing these dynamics. It also includes a discussion on firm-level productivity and the role of foreign workers (FWs) in shaping the labor market and wage growth.
Main Points on Wage Growth
1. Wage Growth Trends
- Nominal wage growth in Poland was moderate (around 4% y/y) from 2010 to 2016.
- It accelerated significantly in 2017, reaching 7.6% in Q3:2018, the fastest pace since 2009.
- Real wage growth increased from about 2.5% to 5.5% during the same period.
- The acceleration in wage growth was broad-based across all sectors.
2. Labor Productivity and Real Unit Labor Costs (RULCs)
- Labor productivity growth increased from 4.5% to 6.5% in 2018.
- RULCs increased moderately, but not at the double-digit rate seen during the pre-crisis period of rapid GDP growth.
3. Labor Market Tightness
- The labor market became tighter, with the unemployment rate dropping by over 1 percentage point per year since 2014.
- The unemployment rate reached a record low of 3.8% in Q3:2018, below most EU members.
- Vacancy and job turnover rates also indicate a very tight labor market.
- Firms, especially in construction and industry, face labor scarcity as a constraint to expanding output.
4. Role of Foreign Workers
- The influx of foreign workers, primarily from Ukraine, has had a complex impact on wage growth.
- Foreign workers may act as substitutes or complements to Polish workers.
- A negative coefficient on the share and change in share of FWs suggests a dampening effect on wages.
- However, the positive coefficient on the interaction term indicates that FWs also support wage growth.
- The net impact of FWs depends on their share in total employment, with a one percentage point increase in FW share raising Polish wages by 3.8% when the initial share is 10%.
- The current FW share is around 5%, close to a neutral point, but the dampening effect likely dominated in recent years.
5. Short-Term Drivers of Nominal Wage Growth
- The main short-term drivers are:
- Domestic factors: inflation expectations, FW-adjusted labor productivity, unemployment rate gap, underemployment indicators.
- Foreign factors: labor market conditions in the euro area and Ukraine.
- FW-related variables: share of FWs in total employment and changes in this share.
- Inflation expectations are not statistically significant.
- The error correction term is the most important factor in explaining wage dynamics.
- The presence of FWs improves the model fit (R-squared) significantly.
6. Long-Term Dynamics
- Real wages have tended to move with trend productivity.
- Real wages have overshot their long-run equilibrium level since mid-2016.
- This overshoot is attributed to a jump in productivity, which only recently started to be reflected in trend productivity.
- The correction from this overshoot is expected to dampen future wage growth.
Main Points on TFP and Firm-Level Productivity
1. TFP Growth in Poland
- TFP growth was rapid after the turn of the century, attributed to foreign direct investment and integration into regional supply chains.
- However, since the Global Financial Crisis (GFC), TFP growth has slowed significantly.
- The slowdown is consistent with similar patterns in other Central and Eastern European (CEE) countries.
2. Firm-Level TFP Analysis
- Two datasets were used: Statistics Poland data and Orbis data.
- The Statistics Poland dataset includes more than 48,000 non-financial firms with over 9 employees.
- The Orbis dataset covers firm-level financial and ownership data for Poland and other CEE countries, Italy, and Spain.
- Both datasets show similar structural characteristics influencing TFP.
3. Sectoral Contributions to TFP
- Manufacturing and wholesale and retail trade were the largest contributors to productivity gains.
- Manufacturing also showed productivity convergence, with firms that had lower TFP in 2005 posting more modest gains.
- High-tech sectors (e.g., computers, electronics, and electrical equipment) experienced the fastest TFP growth.
4. Firm Size and Productivity
- Very-large firms (more than 250 employees) are the most productive, with a 50% higher TFP level than other firms in 2016.
- However, the TFP gap between very-large and other firms has narrowed, suggesting less sustainability of the initial productivity advantage.
- Export-oriented firms and foreign-owned firms have the highest TFP levels.
- State-owned enterprises (SOEs) in manufacturing showed the most impressive TFP gains, contrary to the overall pattern.
5. Ownership and Productivity
- Foreign-owned firms are more productive than SOEs or domestic private firms.
- Domestic private firms are less productive than SOEs but have been catching up rapidly.
- Export participation is positively correlated with productivity.
Key Findings and Implications
- Wage growth is driven primarily by domestic factors and labor market tightness, with foreign workers acting as a key dampening factor.
- The overshooting of real wages relative to trend productivity suggests a need for correction in the future.
- TFP is a critical driver of long-term growth, but its growth has slowed significantly since the GFC.
- Firm-level TFP is influenced by ownership, size, and export orientation, with foreign and large firms leading in productivity.
- The convergence of TFP across firms and sectors indicates ongoing structural improvements.
- FWs have played a significant role in shaping the labor market and wage dynamics, though their impact is not fully captured in official statistics.
Conclusion
The analysis highlights the complex interplay between labor market conditions, foreign workers, and firm-level productivity in shaping wage growth and TFP in Poland. While the labor market has tightened, leading to higher wage growth, the TFP slowdown and FW impact have constrained the overall pace of productivity gains. Understanding these dynamics is essential for policy formulation and economic forecasting.
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