Economic and statistical analysis criteria for administrative decision making in the production of sugar cane and its derivatives


In order to correctly evaluate the economic decisions that the sugar agroindustry must make for its best performance, simulation and analysis tools have been built for the costing, investment and sensitivity of sugarcane cultivation to the impact of various factors. These economic, financial and econometric models allow establishing the relationships between the variables of interest, in addition to estimating the economic and financial results of a decision over time.

In this sense, Cenicaña constantly uses statistical information as a fundamental tool to make decisions that benefit the performance of the sugar sector. And for this purpose, depending on the problem to be solved, descriptive statistics and inferential statistics are used.

In the following paragraphs we will see, as an example, some representative cases of the different problems in which these statistical and economic tools have been very useful.

About the authors

Posada Contreras, C.

Economist with a Master's Degree in Economics with an emphasis on finance, graduated in 1996 from the Universidad del Valle, Cali location, and in 2013 from the Universidad Pontificia Javeriana Bogotá, Cali location. She has 26 years of experience in the economic analysis of the cultivation of cane and sugar production.

Moreno Gil, CA

Statistician-Mathematician graduated from the National University of Colombia, Bogotá headquarters. M.Sc in Applied Statistics from Iowa State University. Experience as a Biometrician in the Biometrics unit of the International Center for Tropical Agriculture in Palmira and CENICAÑA.

Chica Ramirez, HA

Agricultural Engineer MSc., Biometrician of the Economic and Statistical Analysis Service (SAEE) – Colombian Sugar Cane Research Center, Cenicaña. Cauca Valley, Colombia.

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