2004年-世界发展银行全球_Microeconomic_Evidence_of_Creative_Destruction_in_Industrial_and_Developing_Countries_49页_549kb

Summary of "Microeconomic Evidence of Creative Destruction in Industrial and Developing Countries"

Core Content

This paper presents an analysis of the creative destruction process across 24 countries and 2-digit industries over the past decade. The study utilizes a newly assembled dataset based on micro-level firm data, harmonized across countries to allow for international comparisons and the identification of country-specific factors. The dataset includes industrialized countries, transition economies, and emerging economies in Latin America and East Asia.

The creative destruction process is defined as the reallocation of resources between firms, driven by entry and exit of firms. This process has significant implications for productivity growth and market dynamics.

Main Views and Key Findings

1. Firm Dynamics Across Countries

• All countries exhibit massive reallocation of resources, with frequent entry and exit of firms.
• Entry and exit rates are similar across industrial countries, but post-entry performance differs significantly between Europe and the U.S., indicating the importance of barriers to growth.
• Transition economies show more pronounced creative destruction compared to industrialized countries.
• Mexico demonstrates high firm dynamics, with many new firms entering the market but also high failure rates.
• Argentina shows lower firm dynamics and less impressive post-entry growth compared to other countries, resembling Continental Europe.

2. Firm Heterogeneity and Productivity

• Firms exhibit heterogeneity in terms of size, growth, market share, and life cycle.
• Key stylized facts include:
  • Size and growth: Larger firms are more likely to survive, but their growth rates are lower than smaller firms.
  • Life cycle: Older firms grow more slowly but have higher survival probabilities.
  • Shakeouts: In mature industries, the number of producers first increases and then decreases.
  • Churning: There is a high pace of reallocation of resources and outputs, especially among young and small firms.
  • Reallocation and productivity: In well-developed markets, reallocation of resources from less productive to more productive firms is productivity-enhancing.

3. Theoretical Foundations

• The creative destruction concept, introduced by Joseph Schumpeter, is central to the analysis.
• Theories such as passive learning (Jovanovic, 1982) and active learning (Ericson and Pakes, 1995) help explain firm growth and survival.
• Vintage models of technological change suggest that new technology often requires retooling, which can affect productivity and firm performance.

4. Role of Market Structure and Institutions

• Distorted market structures and institutions can affect churning and productivity in complex ways.
• High barriers to entry may lead to lower productivity of new entrants but higher productivity of incumbents.
• Institutional distortions may create systematic differences in the productivity gap between entering and exiting firms.
• Market experimentation may lead to lower short-term productivity but higher long-term gains.

5. Data and Methodology

• The dataset is built through distributed micro-data analysis, combining business registers, census, surveys, and social security databases.
• It includes 8 firm size classes, including firms with no employees, enabling comparisons across industries and countries.
• The dataset allows for the decomposition of productivity growth into within-firm and reallocation components.
• Labor productivity is measured as deflated gross output per worker, while multifactor productivity uses gross output or value added as the output indicator.

Key Indicators

Conclusion

This paper provides new insights into the creative destruction process across developed and developing economies, using harmonized micro data. It highlights the importance of firm-level dynamics in productivity growth and market development. The data suggest that market structure and institutional settings significantly influence firm behavior and productivity outcomes. The study also identifies the need for further research to explore the links between policy and firm dynamics, as well as the impact of institutional factors on the efficiency of resource reallocation.

The paper is a pioneering effort in using cross-country micro data to assess firm-level productivity and market restructuring. It underscores the complexity of creative destruction and the importance of institutional and policy environments in shaping economic outcomes.