Data for The Impact of Bioeconomy in Latin America

Published: 26 June 2024| Version 1 | DOI: 10.17632/djwtfmnv5j.1
Carlos Alberto Zúniga-Gonzalez


The methodology termed "Classification of Exports according to Bioeconomy and Traditional Sectors" categorizes exports based on origin and processing degree, focusing on biological and mineral/fossil resource economies. It classifies exports into five categories: Basic Bioeconomy Products (directly from agriculture, agro-industry, etc.), Value-added Bioeconomy Products (processed from these sectors), High Value-added Bioeconomy Manufacturing (biological-based chemicals, pharmaceuticals, etc.), Mineral and Fossil Economy (mining, fossil-based sectors), and Other Manufactures. This methodology analyzes how Latin American countries contribute to and benefit from the bioeconomy. It suggests applications like export analysis to understand trends in biological product exports, identifying key sectors for development comparison, and assessing economic, social, and environmental impacts. It also evaluates policy effectiveness in promoting inclusive and sustainable growth. Organized data feeds into DEA 2.1 software for Malmquist index estimation, crucial for measuring bioeconomy impacts in Latin America.


Steps to reproduce

[1] Based on the criteria of the methodology used, it could be termed as "Classification of Exports according to Bioeconomy and Traditional Sectors." This involves categorizing export data into sectors related to bioeconomy practices versus traditional sectors. [2] The information is organized for both outputs and inputs. This step involves structuring the data where outputs (e.g., exported goods and services) and inputs (resources or factors used in production) are clearly identified and categorized. [3] Data selected for analysis is transferred to DEA software (Data Envelopment Analysis). In this step, specific datasets that have been organized according to bioeconomy and traditional sector classifications are inputted into the DEA 2.1 software. [4]] The program is run to estimate the expected results. Using DEA software, the selected data is processed to calculate efficiency scores and other metrics that indicate the performance of bioeconomy sectors compared to traditional sectors based on the inputs and outputs specified.


Universidad Nacional Autonoma de Nicaragua Leon


Bioeconomics, Total Factor Productivity