Bài viết Tạp chí Nghiên cứu Tài chính Kế toán từ năm 2026
Duyệt Bài viết Tạp chí Nghiên cứu Tài chính Kế toán từ năm 2026 theo Chủ đề "ARDL"
- Ấn phẩmPublic spending and multidimensional poverty reduction in Vietnam: an ARDL approach(Học viện Tài chính, 2026) Ha Thi Doan Trang PhD.; Dang Ngoc AnhVietnam has achieved remarkable poverty reduction, with the multidimensional poverty rate declining from 28.2% in 2000 to 4.3% in 2025, driven significantly by expanded public spending on pro-poor programs. However, the differential effectiveness of spending components across infrastructure, education, health, and social assistance remains underexplored, limiting evidence-based fiscal planning. This study examines the short-run and long-run impacts of disaggregated public spending on multidimensional poverty in Vietnam over 2000-2025 using Autoregressive Distributed Lag (ARDL) bounds testing methodology. Results reveal that education spending exhibits the strongest long-run poverty-reducing effect, with an elasticity of -0.523 (p<0.01), followed by health at -0.487, infrastructure at -0.312, and social assistance at -0.215. Short-run dynamics differ substantially, as infrastructure generates immediate impacts while education effects materialize with a one-year lag. The error correction coefficient of -0.615 indicates that 61.5% of disequilibrium is corrected annually. Findings suggest that Vietnam should reallocate public spending toward education and health to accelerate poverty reduction toward Sustainable Development Goal 1: End poverty in all its forms everywhere targets.
