Beef supply chain in the state of Campeche, Mexico
The beef production chain in Campeche consists of five links: a) inputs, b) production, c) collection, d) transformation, and e) commercialization. On the other hand, this study reveals a series of bottlenecks and limitations within the sector, which, being a production chain, are more commonly found in the primary links, such as the lack of price regulation, investment, technology, and associativism, among others.
Beef supply chain in the state of Jalisco, Mexico
The main outcome of this study reveals that beef cattle activity exhibits the structure of a production chain due to the presence of independent actors, limited contractual relationships, and prioritization of volume - and price-based approaches. However, it does not consider aspects such as the production model or quality. Additionally, it was identified that there is a lack of access to information among the actors in the supply chain, among other factors.
Local Effects of Payments for Ecosystem Services on Rural Poverty
Using household surveys and spatial geographic data, we are able to control for socioeconomic and geographic characteristics at the individual and census-tract levels. Our results suggest that while payments did not affect poverty rates at the national level, poverty did increase in places where PES had the greatest effect on deforestation. This effect is stronger for uneducated males, who tend to work in agricultural activities.
Dairy production systems from Turrialba's lower zone, Costa Rica
A survey was carried out on producers or managers of bovine milk production systems of small scale located in the municipalities of Tayutic, Tuis, and La Suiza. The information was obtained through semi-structured interviews applied to 43 owners/administrators of dairy farms located in the area. The structural, management, productive, and demographic variables of the respondents were investigated to identify the systems. Three production systems were identified using two multivariate analysis techniques: i) Principal Component Analysis (PCA) and ii) Cluster Analysis (CA).
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