Technical efficiency of US dairy farms and federal government programs
AbstractIn this article, Technical Efficiency (TE) of dairy farms is estimated and analysed with two methodologies: Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). Using DEA, the TE scores for different states are determined. Further, logistic regression is applied to TE scores to explain how known technical and policy variables affect a farm's probability of being efficient. The second methodology employs SFA to estimate and analyse TE scores. Two federal milk policies are considered in this research: marketing policy and milk income loss policy. Federal milk marketing program has shown a significant and negative impact on TE with both methods. Payments under the milk income loss program have shown a positive significant impact in SFA analysis. Both methodologies produced similar outcomes on regional impacts and on the significance of several considered variables. Categorical representation of some variables in graphs provided some additional insights of their effects on TE.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 45 (2013)
Issue (Month): 7 (March)
Contact details of provider:
Web page: http://www.tandfonline.com/RAEC20
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.