Scientific Culture, Macroeconomics, Governance, and Economic Development in Bangladesh (1999-2024): An Econometric Analysis of Structural Breaks and a Proposed Sgi

This study concepts an integrated econometric framework to analyze the dynamic interactions among unemployment, GDP, and human development in Bangladesh, emphasizing the mediating roles of governance and evidence-based scientific culture in policy-making, alongside the impact of structural shocks. Utilizing time-series data from 1999 to 2024 and advanced techniques—including Ridge Regression to correct for severe multicollinearity (VIF>10), a Three-Stage Least Squares (3SLS) system, and a break-adjusted Vector Error Correction Model (VECM)—the study determine evident structural breaks linked to the 2004 RMG boom, 2013 Rana Plaza reforms, and the 2019 COVID-19 pandemic. Results indicate that governance quality exerts a strong positive influence on GDP (β=11.92, p<0.01) and life expectancy (β=0.62, p<0.05) in the simultaneous system. However, negative shocks to the democracy index, reflecting political instability, cause an immediate and persistent decline in GDP growth, with recovery spanning nearly a decade. The analysis confirms the presence of autocorrelation (Breusch-Godfrey LM=8.45, p=0.074) and heteroscedasticity (Breusch-Pagan BP=12.34, p=0.055) in initial models, which were corrected using robust techniques. Policy implications stress the critical need for institutional reforms grounded in a scientific culture to stabilize democratic processes, mitigate corruption, and build economic resilience against future economic shocks. This research is structured about key contents, consider scientific culture, employment versus unemployment, wages, macroeconomic analyses of economic development, customs and growth, and political economy. These themes serve as foundational principles for our investigation into labor market dynamics, macroeconomic development trajectories, the impact of institutional governance and scientific culture on growth, and the political economy of development shocks and policy responses. The Scientific Governance Index (SGI), developed by the author, serves as a foundational tool in this investigation.