2004年-世界发展银行全球_Convergence_Dynamics_and____________Geography_of_Economic_Growth__The_Case_of_Municipalities_in____________Rio_Grande_do_Norte_Brazil_22页_255kb

Summary of "Convergence, Dynamics and Geography of Economic Growth: The Case of Municipalities in Rio Grande do Norte, Brazil"

Core Content

This working paper analyzes the economic growth patterns of municipalities in Rio Grande do Norte (RN), Brazil, from 1970 to 1996, focusing on the convergence of per capita income and the role of geography in economic development. The study explores whether poor municipalities are catching up with rich ones and whether spatial factors influence growth dynamics.

Main Findings

• Income Growth and Poverty Reduction: RN has achieved significant economic growth and poverty reduction over the last half-century, with an annual per capita income growth of 3.9%, higher than the national average. However, per capita income in RN remains less than half of Brazil's, and about 40% of its population lives in extreme poverty.

• Sectoral Shifts: Over the past two decades, RN's economy has shifted from agriculture, industry, and mining toward the service sector, which has become the most dynamic. The service sector's share of GDP increased from 40% in 1985 to 59% in 1998.

• Regional Disparities: There are significant regional differences within RN. The two fastest-growing zones, Litoral Oriental and Mossoroense, have experienced substantial GDP and population growth, while the Sertão zones have lagged due to limited income opportunities, frequent droughts, and inadequate social protection programs.

• Convergence Analysis:

  • Absolute Convergence: Poor municipalities in RN are not catching up with rich ones. The rate of convergence is very small, implying that it would take about 170 years to eliminate half of the initial income gap.
  • σ-Convergence: The dispersion of per capita income among municipalities increased from 0.40 to 0.47 between 1975 and 1996, indicating that income inequality has not diminished over time.
  • Spatial Convergence: The analysis of spatial dependence using the Moran Index shows that the spatial correlation in income is small and decreasing, suggesting that geography has a limited role in the growth process.

Key Information

• Data Sources: The study uses municipal GDP data from IPEA and population data from IBGE censuses and counts.
• Methodology: The paper applies both traditional and spatial econometric methods to analyze convergence, including the use of a Markov chain transition matrix to assess the probability of municipalities moving between income classes.
• Policy Implications: The findings suggest that public policy should focus on:
  • Assisting rural families through education and training to improve employment opportunities.
  • Helping poor and unskilled migrants integrate into the modern economy through skill development and education programs.
  • Ensuring that social programs are well-targeted and effective, especially in the Sertão regions.

Structure of the Paper

1. Introduction: Outlines the purpose of the paper, which is to analyze economic growth and convergence in RN.
2. Background: Provides an overview of RN's geography, climate, and historical economic development.
3. Data Sources: Describes the data used for the analysis, including GDP and population data.
4. Overall Trend and Location Structure of Growth: Discusses the growth trends in RN and the regional disparities.
5. Convergence Analyses:
   • Unconditional Convergence: Reveals that poor municipalities are not catching up with rich ones.
   • σ-Convergence: Shows that income dispersion has increased over time.
   • Spatial Convergence: Indicates that spatial dependence in income is weak and decreasing.

Conclusion

The study concludes that while RN has made progress in economic growth, the convergence of per capita income among municipalities is weak. Spatial factors play a minor role in economic development, and regional disparities persist. The paper emphasizes the need for targeted policies to address poverty and inequality, particularly in rural and Sertão areas, to promote more inclusive growth.