@article{Gatti:211647,
      recid = {211647},
      author = {Gatti, Nicolas and Lema, Daniel and Brescia, Victor},
      title = {A Meta-Frontier Approach to Measuring Technical Efficiency  and Technology Gaps in Beef Cattle Production in Argentina},
      address = {2015},
      number = {1008-2016-80271},
      pages = {22},
      year = {2015},
      abstract = {In this paper the stochastic metafrontier method is  applied to estimate technical efficiency (TE) and  metatechnology ratios (MTR), in beef cattle production for  three distinct regions in Argentina. A deterministic  stochastic metafrontier production function model is  estimated that envelops the individual stochastic frontiers  of the three regions. Our results show that firms from  Pampean region, the most favored in terms of environment  conditions, have an average (TE) of 53.7%, meanwhile for  others regions the TE is around 58.9-66.97%. The average  MTR for Pampean region is 96.8%, in contrast, the others  regions have an average MTR of 42%. Our results suggest  that, farms in the Pampean region could improve their  performance through a better management using the available  technologies and resources. In regions II and III the  improvement of the productivity is likely to require  additional investment in research to adapt and develop new  technologies.},
      url = {http://ageconsearch.umn.edu/record/211647},
      doi = {https://doi.org/10.22004/ag.econ.211647},
}