Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach

Juan Cabas Monje, Bouali Guesmi, Amer Ait Sidhoum and José María Gil

Australian Journal of Agricultural and Resource Economics, 2023, vol. 67, issue 04

Abstract: The pig meat production plays a significant role in the Spanish agrofood system. The assessment of the efficiency performance with which farmers are operating is necessary to define adequate policy and management strategies. In this context, this study aimed to determine the technical efficiency (TE) performance of pig farms and to examine the key factors that may affect the production system in Spain. To do so, the analysis relies on the quantile stochastic frontier model using a sample of Spanish pig farms. Results show a significant difference between production frontier parameters across the selected quantiles, which support the relevance of using the quantile regression approach. The optimal quantile for the stochastic frontier indicates an average TE level of 75%. In addition, empirical findings suggest that pig farmers in Spain give more importance to the adoption of high technology to improve their economic and technical performance as well as their competitiveness at the European pig market.

Keywords: Livestock Production/Industries; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/343064/files/M ... cal%20efficiency.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:aareaj:343064

DOI: 10.22004/ag.econ.343064

Access Statistics for this article

More articles in Australian Journal of Agricultural and Resource Economics from Australian Agricultural and Resource Economics Society Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search (aesearch@umn.edu).