Journal of
Development and Agricultural Economics

  • Abbreviation: J. Dev. Agric. Econ.
  • Language: English
  • ISSN: 2006-9774
  • DOI: 10.5897/JDAE
  • Start Year: 2009
  • Published Articles: 552

Full Length Research Paper

Analyzing the sources of technical efficiency among heterogeneous dairy farms: A quantile regression approach

 Benaissa Chidmi1*, Daniel Solís2 and Victor E. Cabrera3
1Department of Agricultural and Applied Economics, Texas Tech University, Lubbock 79409, Texas, USA. 2Division of Marine Affairs and Policy, RSMAS, University of Miami, Miami 33149, Florida, USA. 3Department of Dairy Science, University of Wisconsin, Madison 53706 Wisconsin, USA.
Email: [email protected]

  •  Accepted: 21 March 2011
  •  Published: 30 July 2011

Abstract

An unbalanced panel data including 1,151 farm observations from 2004 to 2008 was used to analyze the determinants of technical efficiency (TE) for dairy farms in the State of Wisconsin. To account for farm heterogeneity in our analysis we implemented a two-step framework using a stochastic production frontier and a quantile regression analysis. The results show that the determinants of TE affected farmers with different levels of TE in a very specific ways. This outcome is of significant importance from an empirical point of view. Farmers could use this knowledge to find alternatives to improve their specific level of performance. Additionally, Policy makers could use this information to improve the effectiveness of their policies by targeting specific agricultural services and aid to group of farmers with similar levels of TE.

 

Key words: Dairy farm, technical efficiency, quantile regression approach.

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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