ECONOMIC AND FINANCIAL PERFORMANCE OF REPRESENTATIVE SMALL SCALE DAIRY PRODUCTION UNITS TO 2027
Authors:
- Vianey González-HernándezVGVianey González-Hernández
- Nicolas Callejas-JuárezNicolas Callejas-Juárez
- Nathaniel Alec Rogers-MontoyaNathaniel Alec Rogers-Montoya
- Carlos Galdino Martínez-GarcíaCarlos Galdino Martínez-García
- Jesús Armando Salinas-MartínezJesús Armando Salinas-Martínez
- Francisco Ernesto Martínez-CastañedaFrancisco Ernesto Martínez-Castañeda
Open Access
- 30 January 2024
- journal article
- research article
- Published by Universidad Autonoma de Yucatan. Facultad de Medicina Veterinaria y Zootecnia in Tropical and Subtropical Agroecosystems
- Vol. 27 (2)
Abstract
Background: Small-scale dairy systems are vital in rural communities and strategic for livelihoods an economic development. Objective: To estimate the economic and financial viability of small-scale dairy Representative Production Units (RPU) in the high plateau of the State of Mexico using a Monte Carlo simulation. Methodology: Net yields were estimated for a 5-year planning horizon via simulated values for the distribution of input and product processes, establishing 2022 as the base scenario. A stochastic modelling approach was used to determine the economic and financial outlook considering the cost of two sources of labor for the simulations: (1) Cost of family labor (FL); and (2) Cost of external hired labor (EL). Results: A panorama of economic viability was evidenced. However, a lack of financial wellbeing was also determined. When FL was factored in, net income was estimated in $17.99 thousand USD in 2023 and $26.35 thousand USD in 2027. On the other hand, considering EL resulted in a net income of $9.88 thousand USD in 2023 and $16.31 USD in 2027. The Net Present Value in 2027 was calculated at $-161.84 thousand USD and $-191.27 thousand USD, with FL and EL, respectively. While the RPUs were determined to be competitive, the level of risk was significant due to the high monetary value, limited degree of specialization of the RPUs, and the prevailing volatile scenario at the time. Implications: This study can enable decision-makers, on one hand, to analyze and design policies and differentiated strategies for small-scale dairy production systems. On the other hand, it can empower dairy farmers to assess scenarios of technical and productive intervention. Conclusions: The financial and economic weakening of the studied RPU could have negative implications in terms of public policy, labor, marketing, value chains, and the persistence of producers in such activity.Keywords
This publication has 24 references indexed in Scilit:
- Anticipate, wait or don't invest? The strategic net present value approach to study expansion decisions under policy uncertaintyAgribusiness, 2022
- Role of small-scale dairy production systems in central Mexico in reducing rural povertyExperimental Agriculture, 2022
- Productive, economic, and environmental effects of sunflower (Helianthus annuus) silage for dairy cows in small-scale systems in central MexicoTropical Animal Health and Production, 2021
- Risk factors associated with reproductive performance in small-scale dairy farms in MexicoTropical Animal Health and Production, 2018
- Evaluation of comparative advantages in the profitability and competitiveness of the small-scale dairy system of Tulancingo Valley, MexicoTropical Animal Health and Production, 2018
- Economic and financial viability of small-scale dairy systems in central Mexico: economic scenario 2010–2018Tropical Animal Health and Production, 2016
- Evaluating Policy Design Choices for the Margin Protection Program for Dairy Producers: An Expected Indemnity ApproachApplied Economic Perspectives and Policy, 2015
- Modeling the welfare impacts of agricultural policies in developing countriesJournal of Policy Modeling, 2014
- Contribution of family labour to the profitability and competitiveness of small-scale dairy production systems in central MexicoTropical Animal Health and Production, 2013
- An Applied Procedure for Estimating and Simulating Multivariate Empirical (MVE) Probability Distributions In Farm-Level Risk Assessment and Policy AnalysisJournal of Agricultural and Applied Economics, 2000