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 | ISSN: 0034-8341
Introduction
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.
Moreno Gil, CA
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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- Sugar cane. 2. Agribusiness. 3. Economic analysis. 4. Statistical analysis. 5. Financial Analysis. 6. Varieties. 7. Productivity.
Posada Contreras, C., Moreno Gil, CA & Chica Ramírez, HA (2023). Economic and statistical analysis criteria for administrative decision making in the production of sugar cane and its derivatives. In: Colombian Sugarcane Research Center (Ed). Sugar cane agroindustry in
Colombia. Cinderella
