Data for Analysis of rice (oryza sativa l.) bioeconomy: a DEA approach to economy efficiency

This dataset comprises efficiency assessment data from 610 rice (Oryza sativa L.) production units in Ecuador during the 2019 agricultural cycle. The data was collected through a nationally representative survey and includes key production and economic variables such as total income, total costs, land area, irrigation, seed use, input prices, farmer age, education level, and farming experience.

The study employs Data Envelopment Analysis (DEA) models under both Variable Returns to Scale (VRS) and Constant Returns to Scale (CRS) frameworks in an input-oriented approach. The Bootstrap method was applied to estimate confidence intervals, providing robust efficiency scores. Efficiency measurements include Technical Efficiency (TE), Allocative Efficiency (AE), and Cost Efficiency (CE), with scores ranging from 0.218 to 1.185.

The dataset offers valuable insights into the efficiency levels of Ecuadorian rice producers and serves as a foundation for further research on agricultural optimization, bioeconomic performance, and policy recommendations.