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

Posada Contreras, C.; Moreno Gil, CA; Chica Ramirez, HA| SEP 2023 | ISBN 978-958-8449-27-2


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 document 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 in Finance, graduated in 1996 from the Universidad del Valle, Cali campus, and in 2013 from the Pontificia Universidad Javeriana, Bogotá. She has 26 years of experience in the economic analysis of the cultivation of cane and sugar production. She has developed her professional career at Cenicaña, one year as a Young Researcher at Colciencias and the rest as a professional at the former Economic and Statistical Analysis Service of Cenicaña and now the Analytics Service. Throughout his career he has dedicated himself to constantly studying, modeling and predicting econometric principles and results, in order to reduce uncertainty in the decision-making of mills and agribusiness growers, participating in the past in the cost committees of production and agricultural machinery and currently in various work groups as support in economic analysis, in addition to providing training and contributing as author and co-author of various scientific works.

Moreno Gil, CA

Statistician-Mathematician graduated from the National University of Colombia, Bogotá headquarters in 1979. During the period 1981-1984 I worked as a biometrician in the Biometrics Unit of the International Center for Tropical Agriculture, in Palmira. From 1984 to 2021 linked to the Colombian Sugar Cane Research Center, Cenicaña as a biometrician of the Economic and Statistical Analysis Service. Master's degree in Applied Statistics from Iowa State University, 1990-1991. Author and co-author of several scientific works that present the application of statistical methods in part of the solution of different areas of knowledge such as Plant Breeding, Plant Pathology, Entomology, Soil Science, Agronomy, mainly.

Chica Ramirez, HA

Agricultural Engineer from the University of Caldas, master's degree in Mathematics from the Technological University of Pereira and doctoral candidate in Engineering from the University of Valle. He has more than 20 years of experience in the area of ​​analysis and design of experiments, stochastic simulation and deterministic and statistical modeling of crops in the coffee and sugar sector in companies such as Cenicafé and Cenicaña. He is a speaker at national and international conferences and seminars. He currently works as head of Cenicaña's Analytics Service, performing functions in mathematical optimization and formulation of projects aimed at mathematical modeling of supply chains.

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