Agricultural commodities pricing model applied to the Brazilian sugar market

This article suggests a pricing model for commodities used to produce biofuel. The model is based on the concept that the deterministic component of the Wiener process is not constant and depends on time and exogenous variables. The model, which incorporates theory of storage, the convenience yield and the seasonality of harvests, was applied in the Brazilian sugar market. After predictions were made with the Kalman filter, the model produced results that were statistically more accurate than those returned by the two-factor model available in the literature.

The Benefits of Sugarcane Chain Development in Africa

As consumers continue to be concerned about the future of sustainable agriculture and the scarcity of natural resources, biofuels can be an important component of the "people" solution through job creation, development and interiorizing economic activities of a country through moving money from cities into rural areas. The Brazilian sugarcane industry is well developed in terms of corporate social responsibility and can serve as an example for other countries such as Africa. The objective of this article is to show how sugar cane can contribute to the development of Africa by producing renewable fuel for use in booming African cities. A supply of sugar can be developed for use in local markets and exports. Other opportunities exist to produce bioelectricity from the process of burning the bagasse and other new products such as plastic and diesel. In the case of Ethanol, this fuel has proven to be the most efficient in competing with gasoline in the last 40 years, and Africa may gain with a strategic plan on ethanol.

Mapping and Quantification of the Cotton Chain in Brazil

The CHAINPlan method developed by Neves (2007) is a practical tool which can be used to construct strategic plans for production chains. A preliminary step in this process includes mapping and quantifying the production chain. We present the results of applying the method to one of the most important agribusiness chains in Brazil-the cotton sector. The Gross Domestic Product for the cotton sector in the 2010-2011 crop year was estimated at nearly $19.2 billion. We show the interconnections between the links in the chain and its ability to generate revenues, taxes and jobs.