Environmental impacts of medium-scale pig farming at technical and economic optimum production weight in Mexico.

Medium-scale pig production systems, which make up 30 % of Mexico's pig farms, face two key obstacles impacting their economic and financial performance. The first is the absence of a sales plan based on pigs' weight, which negatively affects both profitability and resource management. The second obstacle is inadequate waste management, which hampers efforts to mitigate environmental impacts generated by pig farms. Based on this criterion, this study aims to determine technical and economic optimum levels of a medium-scale pig farm and evaluate its associated environmental impacts. Based on the last farm sale weight (116.3 kg - base scenario), technical and economic optimum levels were estimated using a production function, resulting in a technical optimum of 155 kg and an economic optimum of 127 kg. An environmental assessment of the pig fattening process was carried out following the principles of the Life Cycle Analysis methodological framework. Using a cradle-to-farm gate perspective, and establishing 1 kg of live-weight pig as the functional unit. The results indicated that production at maximum weight level (155 kg), increased environmental impacts by 60 % to 75 % compared to the base scenario. In contrast, at the maximum economic benefit level (127 kg), environmental impacts increased by 5 % to 10 %. Feed production represented the largest contribution (over 74 %) in six impact categories. The results provide valuable information for medium-scale pig farms to mitigate the environmental burdens associated with the optimal production weight and to direct efforts towards achieving future economic and environmental efficiency.

Economic and financial viability of a pig farm in central semi-tropical Mexico: 2022-2026 prospective.

To estimate the economic and financial viability of a pig farm in central sub-tropical Mexico within a 5-year planning horizon, a Monte Carlo simulation model was utilized. Net returns were projected using simulated values for the distribution of input and product processes, establishing 2021 as base scenario. A stochastic modelling approach was employed to determine the economic and financial outlook. The findings reveal a panorama of economic and financial viability. Net income increased by 555%, return on assets rose from 3.36% in 2022 to 11.34% in 2026, and the probability of decapitalization dropped from 58% to 13%, respectively in the aforesaid periods. Similarly, the probability of obtaining negative net income decreased from 40% in 2022 to 18% in 2026. The technological, productive, and economic management of the production unit allowed for a favorable scenario within the planning horizon. There is a growing interest in predicting the economic sectors worth investing in and supporting, considering their economic and development performance. This research offers both methodological and scientific evidence to demonstrate the feasibility of establishing a planning schedule and validating the suitability of the pork sector for public investment and support.

Evaluation of the environmental impacts of the smallholder milk-production system in Central Mexico.

In order to analyze the environmental performance of Smallholder Dairy Farms (SHDFs) located in the State of Mexico, a Life Cycle Analysis (LCA) was carried out using two methodological approaches (A1 and A2) to estimate and interpret environmental impacts. A1 consisted in obtaining the average inputs and outputs of 15 SHDFs to generate a representative farm life cycle inventory, while A2 included an individual environmental impact analysis per SHDF to obtain average values of the contributions per analyzed midpoint impact category. The feed production subsystem generated the highest contributions to environmental impacts per liter of raw milk produced. Estimated emissions based on A2 approach, resulted in higher environmental impacts compared to results obtained with A1. The estimated values for the midpoint impact categories obtained with A2: Climate change, Fossil depletion, Terrestrial acidification, and Agricultural land occupation, were 8.73%, 30.77%, 100%, and 20.49% higher compared to A1 approach, respectively. While A2 provides more accurate results, it requires more time and resources compared to the integration of a panel of representative dairy farms.