Productivity and Efficiency of Precision Farming: The Case of Czech Cereal Production

The paper deals with the sources of competitiveness Czech cereal production by considering precision farming technology and employing micro-level data collected in FADN database for period 2005–2018. analysis is based on stochastic frontier modelling an input distance function specification four-component model, which currently represents most advanced approach to technical efficiency analysis. To provide a robust estimate employs methods control potential endogeneity netputs four-step estimation procedure. Furthermore, total factor productivity change calculated using Törnqvist-Theil index. results reveal that producers took great advantage their possibilities experienced technological progress, contributed considerably dynamics consequently increase competitiveness. Precision farming, associated large number innovations reflected optimal resource use, higher connected cost savings production.