Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved]
Background This paper aims to examine the efficiency of Mexico’s dairy farms within its four regions of Tlaxcala Stated. Methods The Envelopment Data Analysis (DEA) applied to the variable returns to a scale model (VRS) for the year 2020. Also, Examine the statistical accuracy of efficiency estimati...
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F1000 Research Ltd
2025-01-01
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| author | C. A. Zuniga-Gonzalez J. L. Jaramillo-Villanueva N.E Blanco-Roa |
| author_facet | C. A. Zuniga-Gonzalez J. L. Jaramillo-Villanueva N.E Blanco-Roa |
| author_sort | C. A. Zuniga-Gonzalez |
| collection | DOAJ |
| description | Background This paper aims to examine the efficiency of Mexico’s dairy farms within its four regions of Tlaxcala Stated. Methods The Envelopment Data Analysis (DEA) applied to the variable returns to a scale model (VRS) for the year 2020. Also, Examine the statistical accuracy of efficiency estimation using bootstrap resampling techniques. 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 total annual cost for feeding, reproduction, diseases and treatments, preventive medicine, sanitation, milking, fuel, and total labor. Results The efficiency distribution among farms using VRS, CRS, and FDH technologies reveals varying patterns. Under VRS and CRS, the majority of farms exhibit high efficiency within the 0 to less than 0.2 range, while FDH displays a broader distribution, with notable efficiency at 1 and across various ranges. These findings highlight the diverse landscape of efficiency levels across different technological approaches within the agricultural sector, offering valuable insights for optimization strategies and resource allocation. Conclusions The utilization of Bootstrap methodology enhances the reliability of efficiency assessments by providing robust statistical techniques that accommodate non-normal data distributions. By incorporating Bootstrap, decision-makers can obtain more accurate estimates of efficiency levels and confidence intervals, thereby making informed decisions regarding resource allocation and optimization strategies within the agricultural sector. As part of the study, provided The Policy suggestions. |
| format | Article |
| id | doaj-art-6f07a9c05c19445b80e4eccde6a76c05 |
| institution | Kabale University |
| issn | 2046-1402 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | F1000 Research Ltd |
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| spelling | doaj-art-6f07a9c05c19445b80e4eccde6a76c052025-01-08T01:00:01ZengF1000 Research LtdF1000Research2046-14022025-01-0112176329Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved]C. A. Zuniga-Gonzalez0https://orcid.org/0000-0002-2545-8304J. L. Jaramillo-Villanueva1https://orcid.org/0000-0001-8179-6351N.E Blanco-Roa2https://orcid.org/0000-0001-8954-4423Agroecology, National Autonomous University of Nicaragua, Leon, Leon, Leon, 21000, NicaraguaEconomy, Postgraduate College, Mexico, Puebla, Cholula, 72760, MexicoAnimal Production, National Autonomous University of Nicaragua, Leon, Leon, Leon, 21000, NicaraguaBackground This paper aims to examine the efficiency of Mexico’s dairy farms within its four regions of Tlaxcala Stated. Methods The Envelopment Data Analysis (DEA) applied to the variable returns to a scale model (VRS) for the year 2020. Also, Examine the statistical accuracy of efficiency estimation using bootstrap resampling techniques. 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 total annual cost for feeding, reproduction, diseases and treatments, preventive medicine, sanitation, milking, fuel, and total labor. Results The efficiency distribution among farms using VRS, CRS, and FDH technologies reveals varying patterns. Under VRS and CRS, the majority of farms exhibit high efficiency within the 0 to less than 0.2 range, while FDH displays a broader distribution, with notable efficiency at 1 and across various ranges. These findings highlight the diverse landscape of efficiency levels across different technological approaches within the agricultural sector, offering valuable insights for optimization strategies and resource allocation. Conclusions The utilization of Bootstrap methodology enhances the reliability of efficiency assessments by providing robust statistical techniques that accommodate non-normal data distributions. By incorporating Bootstrap, decision-makers can obtain more accurate estimates of efficiency levels and confidence intervals, thereby making informed decisions regarding resource allocation and optimization strategies within the agricultural sector. As part of the study, provided The Policy suggestions.https://f1000research.com/articles/12-901/v3Slack Technical Efficiency Scale Efficiency Peers Lambdaeng |
| spellingShingle | C. A. Zuniga-Gonzalez J. L. Jaramillo-Villanueva N.E Blanco-Roa Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] F1000Research Slack Technical Efficiency Scale Efficiency Peers Lambda eng |
| title | Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_full | Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_fullStr | Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_full_unstemmed | Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_short | Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_sort | inputs oriented vrs dea in dairy farms version 3 peer review 2 approved 1 approved with reservations 1 not approved |
| topic | Slack Technical Efficiency Scale Efficiency Peers Lambda eng |
| url | https://f1000research.com/articles/12-901/v3 |
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