TY - JOUR
T1 - The efficiency of Spanish arable crop organic farms, a local maximum likelihood approach
AU - Serra, Teresa
AU - Goodwin, Barry K.
N1 - Funding Information:
Acknowledgments The authors gratefully acknowledge financial support from Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Project RTA2006-00002-00-00. They also thank the Spanish Ministry for Agricultre for permitting access to the FADN dataset.
PY - 2009/4
Y1 - 2009/4
N2 - The methodologies that have been used in existing research to assess the efficiency with which organic farms are operating are generally based either on the stochastic frontier methodology or on a deterministic non-parametric approach. Recently, Kumbhakar et al. (J Econom 137:1-27, 2007) proposed a new nonparametric, stochastic method based on the local maximum likelihood principle. We use this methodology to compare the efficiency ratings of organic and conventional arable crop farms in the Spanish region of Andalucía. Nonparametrically encompassing the stochastic frontier model is especially useful when comparing the performance of two groups that are likely to be characterized by different production technologies.
AB - The methodologies that have been used in existing research to assess the efficiency with which organic farms are operating are generally based either on the stochastic frontier methodology or on a deterministic non-parametric approach. Recently, Kumbhakar et al. (J Econom 137:1-27, 2007) proposed a new nonparametric, stochastic method based on the local maximum likelihood principle. We use this methodology to compare the efficiency ratings of organic and conventional arable crop farms in the Spanish region of Andalucía. Nonparametrically encompassing the stochastic frontier model is especially useful when comparing the performance of two groups that are likely to be characterized by different production technologies.
KW - Local maximum likelihood approach
KW - Organic and conventional farming
KW - Technical efficiency
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U2 - 10.1007/s11123-008-0124-4
DO - 10.1007/s11123-008-0124-4
M3 - Article
AN - SCOPUS:60449098997
SN - 0895-562X
VL - 31
SP - 113
EP - 124
JO - Journal of Productivity Analysis
JF - Journal of Productivity Analysis
IS - 2
ER -