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

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. Our results show that the determinants of TE affect in very specific ways farmers with different levels of TE. 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 : technical efficiency, dairy farms

[1]  Tom Kompas,et al.  Technology Choice and Efficiency on Australian Dairy Farms , 2006 .

[2]  D. Hallam,et al.  Efficiency Analysis with Panel Data: A Study of Portuguese Dairy Farms , 1996 .

[3]  L. Tauer Efficiency and competitiveness of the small New York dairy farm. , 2001, Journal of dairy science.

[4]  M. Varner,et al.  Fixed yield responses to increased milking frequency. , 1995, Journal of dairy science.

[5]  S. Caudill,et al.  Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity , 1995 .

[6]  V. Cabrera,et al.  Economic impact of milk production in the State of New Mexico. , 2008, Journal of dairy science.

[7]  R. Everett,et al.  Production responses to bovine somatotropin in northeast dairy herds. , 1999, Journal of dairy science.

[8]  V E Cabrera,et al.  Determinants of technical efficiency among dairy farms in Wisconsin. , 2010, Journal of dairy science.

[9]  D. Solís,et al.  Does intensification improve the economic efficiency of dairy farms? , 2008, Journal of dairy science.

[10]  S. Mahmud,et al.  Agro-Climatic Conditions and Regional Technical Inefficiencies in Agriculture , 2002 .

[11]  B. Bravo‐Ureta Technical Efficiency Measures for Dairy Farms Based on a Probabilistic Frontler Function Model , 1986 .

[12]  R. W. Palmer,et al.  Modeling milk production and labor efficiency in modernized Wisconsin dairy herds. , 2001, Journal of dairy science.

[13]  A. Mishra,et al.  Dairy farm cost efficiency. , 2006, Journal of dairy science.

[14]  Jet Yee,et al.  Agricultural Productivity in the United States , 1998 .

[15]  D. Solís,et al.  The Impact of Soil Conservation and Output Diversification on Farm Income in Central American Hillside Farming , 2006 .

[16]  Impacts of Federal Government Programs and Specific Farm Variables on Technical Effiicency of Dairy Farms , 2008 .

[17]  A. Matthews,et al.  The productivity performance of Irish dairy farms 1984–2000: a multiple output distance function approach , 2006 .

[18]  L. D. Muller,et al.  Performance of high producing dairy cows with three different feeding systems combining pasture and total mixed rations. , 2002, Journal of dairy science.

[19]  Colin Chen,et al.  Growth Charts of Body Mass Index (BMI) With Quantile Regression , 2005, AMCS.

[20]  A. Alvarez,et al.  Identifying different technologies using a latent class model: extensive versus intensive dairy farms , 2010 .

[21]  A. Abdulai,et al.  Estimating Technical Efficiency Under Unobserved Heterogeneity with Stochastic Frontier Models: Application to Northern German Dairy Farms , 2007 .

[22]  D. Solís,et al.  Technical efficiency in farming: a meta-regression analysis , 2007 .