Methodology for Inputs-Oriented VRS DEA in dairy farms
C A Zuniga-Gonzalez, José Luis Jaramillo-Villanueva
Abstract
The methodology protocol for Inputs-Oriented VRS DEA in dairy farms describes the steps and procedures for data collection with the verbal consent of the producers according to the declaration included in the questionnaire, based on the producers' academic relationship of 50 years. at the Mexico Postgraduate College. In the same way, the software and the method used in the investigation are described.
Before start
Before starting the investigation, the available database and considered in the publication of previous articles were considered, andthe methodological procedures and the reorganization of the data were reviewed according to the selected approaches and tools.
Steps
Protocol for the collection and processing of data with the verbal consent of the producers
The data collection procedure was as follows: a) identification of the regions of the republic with the highest volume of milk production. A questionnaire was designed to collect information from the selected producers. During the visit to each producer, the following statement was read: The Campus Puebla Postgraduate College is a recognized institution in teaching and research to serve the agri-food needs of society in a context of sustainable development. My name is (pollster) and On this occasion, a study is being carried out regarding economic and environmental sustainability in the production of bovine cattle in the Tlaxcala region, the objective of the interview is to carry out an analysis of the economic factors, and technical productive, environmental and social, which determine the operation of the production system with the purpose to identify opportunities to improve economic efficiency, productivity, profitability, and competitiveness sustainable activity. The information you provide will remain strictly confidential. The data will not be used in no case individually, but the results of this investigation will always be published jointly by all respondents. I thank you in advance for your kind attention and the time to answer this interview. Thank you
b) identification of the production units in the investigated regions,
c) Communication to producers of the objective, communities randomly selected, and
d) preparation and application of questionnaires
e) analysis of the received data, organizing with the approach DEA. The sample number N was 102 dairy farms in six communities across the state of Tlaxcala. The production units selected were randomly, and distributed among the fourregions of the state of Tlaxcala that are important for milk production. The questionnaires include technical, commercial, and economic information.
For this data is very important to consider that The state of Tlaxcala is a region where the Colegio de Postgraduados in Ciencias Agriculturas has carried out agricultural research and extension work for 50 years. Researchers have a cooperative working relationship with producers, research, extension, and training activities are carried out every year. The milk production profitability and efficiency project were carried out in order to update technological practices and production costs to calculate production profitability. A survey was carried out, carried out by postgraduate students, previously trained, who regularly participate in agricultural and livestock training actions in Tlaxcala. The interviewer visited each of the randomly selected producers in the production unit, verbally explained the objective of the interview, which is noted in the header of the questionnaire.
The Envelope Data Analysis (DEA) applied to the variable returns to a scale model (VRS) for the year 2020. Also, the results reveal that Tlaxcala's dairy farm efficiency, on the other hand, was adversely influenced by three inputs (costs): cost of investment in livestock, the full yearly fetched for nourishing, propagation, illnesses and medicines, preventive pharmaceutical, sanitation, draining, fuel, and total labor. The parameters were estimated using the IBM SPSS Statistics(RRID:SCR_016479) v.22 programs and the software program DEAP 2.0 (RRID:SCR_023002). Data DevelopmentAnalysis running DEAP 2.0, implies organizing the information in figures and tables according to the purpose of the research.
