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Related Experiment Video

Updated: Jun 29, 2026

Milk Collection Methods for Mice and Reeves' Muntjac Deer

Milk Collection Methods for Mice and Reeves' Muntjac Deer

Published on: July 19, 2014

Inputs-Oriented VRS DEA in dairy farms.

C A Zuniga-Gonzalez¹, J L Jaramillo-Villanueva², N E Blanco-Roa³

¹Agroecology, National Autonomous University of Nicaragua, Leon, Leon, Leon, 21000, Nicaragua.

|September 6, 2024

Summary

This summary is machine-generated.

Mexico

Keywords:

Lambda Peers Scale Efficiency Slack Technical Efficiency

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Area of Science:

Agricultural Economics
Operations Research

Background:

Focuses on the efficiency of dairy farms in Mexico's Tlaxcala region.
Highlights the importance of understanding farm-level productivity for the agricultural sector.

Purpose of the Study:

To evaluate the operational efficiency of dairy farms in Tlaxcala.
To identify key factors influencing farm efficiency.
To provide policy recommendations for optimization.

Main Methods:

Employs Data Envelopment Analysis (DEA) with a variable returns to scale (VRS) model.
Utilizes bootstrap resampling techniques for statistical accuracy in efficiency estimation.

Main Results:

Efficiency levels varied across different technological assumptions (VRS, CRS, FDH).
High efficiency was observed in the 0 to <0.2 range under VRS and CRS.
Farm efficiency was negatively impacted by livestock investment costs, feeding, reproduction, healthcare, and labor costs.

Conclusions:

Bootstrap methodology improves the reliability of efficiency estimates and confidence intervals.
Informed decision-making regarding resource allocation and optimization is facilitated.
Policy suggestions are provided to enhance dairy farm efficiency.