Analysis of the impact of renewable energy use on GDP and employment in Angola: An error correction model approach

This paper explores the impact of renewable energy on Angola's GDP and employment. The study used Autoregressive Distributed Lag (ARDL) error correction models with data use, gross domestic product, unemployment rate, industry employment, vulnerable labor force participation rate fixed capital formation. note contributes to existing literature by investigating effects use employment in a single developing country like Angola. All gained stationarity at first differentiation. Our analysis revealed that shares causal long-run relationship rate. short-term exhibits one-way ranging from findings suggest will harm but improve formation short run. However, there is no significant industries' GDP, term. Overcoming mixed using recommends investing research development sector, which could add drop quality jobs. country's leaders draw inspiration countries People's Republic China, Brazil, India. Infrastructure development, skills training, technical support should be primary emphasis policy initiatives. In its sustainable policy, government must consider agriculture sector might country, whether for production, agricultural productivity, or jobs creation. would benefit accelerating industrialization while promoting on-site processing raw materials.   Key words: Renewable energy, economic growth, Angola, (ARDL).