A Meta-Frontier Approach to Measuring Technical Efficiency and Technology Gaps in Beef Cattle Production in Argentina

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.


Issue Date:
2015
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/211647
Total Pages:
22
JEL Codes:
D24; O32; Q18




 Record created 2017-04-01, last modified 2017-08-28

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