The impact of digital technologies on technical efficiency of soybean farms in São Paulo State, Brazil.
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Despite extensive studies on the economics of digital technologies (DTs), such as feasibility and adoption, their impact on technical efficiency (TE) and productivity in crop production using large microdata sets remains unclear. TE refers to the relationship between the maximum attainable output and the observed farm output considering the same endowment of inputs and available production technology. This study fills this gap by evaluating the effects of DT adoption on TE and productivity of soybean farms in the state of São Paulo, Brazil. Microdata from 148 farms (2023–2024 crop season) were collected via structured questionnaire). Econometric models of stochastic production frontier were applied to investigate the effects of DT adoption on farm TE and productivity. The results show that yield maps and management software increase productivity and all four DTs (yield map, autopilot, drone and management software) reduced technical inefficiency, offering insights into the potential of DTs in improving managerial capability.
Papers presented at the 15th European Conference on Precision Agriculture.
Papers presented at the 15th European Conference on Precision Agriculture.
Palabras clave
Managerial capability, Stochastic frontier analysis, Technological impact, Soja, Adoção de Inovações, Fazenda, Innovation adoption, Stochastic processes, Soybeans