世界银行-东亚及太平洋中等收入国家初等教育教师存量与流动的分析：一个简单的模型和2020-2030年的模拟结果（英）-2023.6-11页_521kb

Summary of Analysis of Teacher Stock versus Flow in Primary Education

Purpose and Context

This report examines primary education teacher needs in East Asia and the Pacific middle-income countries (EAP MICs) between 2020 and 2030. It addresses whether countries need more or fewer teachers and quantifies the relative importance of newly recruited teachers (flow) versus existing ones (stock). The analysis highlights learning deficiencies, such as high illiteracy rates among children in the region, and aims to inform policy decisions.

Key Questions and Findings

• Teacher Needs Projections:

  • There is significant variation across 22 countries. Seven East Asian countries are expected to need fewer teachers by 2030, while the majority, especially Pacific Island countries, will need to expand their workforce to accommodate growing enrollments or replace attrited teachers.
  • Despite heterogeneity, in every country, the existing stock of teachers will make up the majority of those employed in 2030, with some nations projected to have over 70% of teachers recruited before 2020.

• Methodology: A simulation model based on factors like future student cohorts, net enrollment rates, pupil-teacher ratio, and teacher attrition rates. The model revealed that existing teachers are key, with findings consistent across scenarios.

Policy Implications

The primary recommendation is that countries should focus their efforts on enhancing the quality of their current teacher workforce through professional development and continuous support. This approach prioritizes leveraging existing stock to improve teaching quality, which is crucial for learning recovery and aligning with SDG4 targets. Recruitment of new teachers remains important, but improving in-service skills is more immediately impactful.

Conclusion

The analysis provides evidence that upgrading teacher qualifications and professional growth should be the main focus in the next decade, regardless of a country's specific projections on teacher demand. This simple, data-driven simulation offers valuable insights for policymakers and development partners in similar regions.