Creación de alternativas productivas al modelo de la soja RR a partir de los criterios definidos por la población de Basavilbaso, Argentina

El consumo desmesurado de energía por parte de los países del Norte lleva a la creación de una deuda ecológica en los países del Sur. Ésta se debe, entre otros factores, al modelo agrario introducido con la “Nueva Revolución Verde”. En Argentina los monocultivos de sojaRR están potenciando la pérdida de la soberanía alimentaria en todo el país. Al mismo tiempo, las políticas energéticas europeas van a provocar una subida en la demanda de materias primas para la producción de biocombustible, lo que llevará a un aumento de la superficie de sojaRR en Argentina. El objetivo de este estudio es la creación de alternativas productivas mediante la implicación de la población de un municipio argentino. A través de la metodología de análisis social “CLIP” se han identificado los diferentes actores implicados en el modelo agrario que a lo largo del trabajo plantean propuestas de cambio para el sector agropecuario de su municipio. El resultado ha sido el planteamiento de cuatro grandes alternativas: la agricultura orgánica, la rotación de actividades, las producciones avícolas y apícolas y la diversificación de cultivos energéticos. Viendo que la tipología de consumo del Norte afecta directamente en la vida de los países del Sur, en todas las alternativas propuestas en este caso de estudio, se acaba por apostar por la creación de redes productivas y comerciales locales que potencien los beneficios en los países productores sin abandonar las posibilidades del mercado internacional.

Measuring and explaining farm inefficiency in a panel data set of mixed farms

This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-stage approach. The model uses gross value added as the output aggregate measure. Total employment, fixed capital, current assets, specific costs and overhead costs are introduced into the model as inputs. Stochasticfrontier estimates are compared with those obtained using a linear programming method using a two-stage approach. The specification of the translog stochastic frontier model appears as an appropriate representation of the data, technical change was rejected and the technical inefficiency effects were statistically significant. The mean technical efficiency in the period analyzed was estimated to be 64.0%. Farm inefficiency levels were found significantly at 5%level and positively correlated with the number of economic size units.

Cost stickiness revisited: Empirical aplication for farms

This article reviews previous research regarding cost stickiness and performs an empirical analysis applied to a sample of farms. It recognizes that modelization of cost stickiness is a particular case of representation of cost variations as a function of output variations. It also discusses methodological issues and analyses cost stickiness for all registered farm costs and opportunity costs of family work. Costs exhibit a considerable level of rigidity. Even for variable costs, a decrease in activity involves a lower decrease in costs than the amounts involved when activity increases. While registered indirect costs slightly decrease when activity decreases, opportunity costs always increase. The study provides empirical evidence that cost stickiness is significantly reduced with better management decision practices.

Cost stickiness revisited: Empirical aplication for farms

This article reviews previous research regarding cost stickiness and performs an empirical analysis applied to a sample of farms. It recognizes that modelization of cost stickiness is a particular case of representation of cost variations as a function of output variations. It also discusses methodological issues and analyses cost stickiness for all registered farm costs and opportunity costs of family work. Costs exhibit a considerable level of rigidity. Even for variable costs, a decrease in activity involves a lower decrease in costs than the amounts involved when activity increases. While registered indirect costs slightly decrease when activity decreases, opportunity costs always increase. The study provides empirical evidence that cost stickiness is significantly reduced with better management decision practices.

Driver costs in small firms: Empirical analysis for farms

The agricultural sector has always been characterized by a predominance of small firms. International competition and the consequent need for restraining costs are permanent challenges for farms. This paper performs an empirical investigation of cost behavior in agriculture using panel data analysis. Our results show that transactions caused by complexity influence farm costs with opposite effects for specific and indirect costs. While transactions allow economies of scale in specific costs, they significantly increase indirect costs. However, the main driver for farm costs is volume. In addition, important differences exist for small and big farms, since transactional variables significantly influence the former but not the latter. While sophisticated management tools, such ABC, could provide only limited complementary useful information but no essential allocation bases for farms, they seem inappropriate for small farms

Driver costs in small firms: Empirical analysis for farms

The agricultural sector has always been characterized by a predominance of small firms. International competition and the consequent need for restraining costs are permanent challenges for farms. This paper performs an empirical investigation of cost behavior in agriculture using panel data analysis. Our results show that transactions caused by complexity influence farm costs with opposite effects for specific and indirect costs. While transactions allow economies of scale in specific costs, they significantly increase indirect costs. However, the main driver for farm costs is volume. In addition, important differences exist for small and big farms, since transactional variables significantly influence the former but not the latter. While sophisticated management tools, such ABC, could provide only limited complementary useful information but no essential allocation bases for farms, they seem inappropriate for small farms