This paper develops a dynamic Luenberger productivity growth indicator and decomposes it to identify the contributions of technical change, technical efficiency change and scale change. The Luenberger productivity growth indicator is estimated using Data Envelopment Analysis. The empirical application focuses on panel data of Spanish meat processing firms over the period 2000-2010. The dynamic Luenberger indicator shows productivity decrease of on average -0.003 in the period under investigation, with technical regress being the main driver of change, despite technical and scale efficiency growth.