Data for At the Bio-Digital Crossroads: Governance as a Conditioning Factor in AI-Driven Bioeconomy Systems

This dataset contains the balanced panel data (2010–2021) utilized for the empirical analysis in Chapter 4, "At the Bio-Digital Crossroads: Governance as a Conditioning Factor in AI-Driven Bioeconomy Systems," focusing on four biodiversity-rich Latin American countries: Bolivia, Ecuador, Honduras, and Mexico.
The underlying data is structured into four core analytical blocks: Socioeconomic (Real GDP per capita, household consumption expenditure), Environmental pressure (CO2 emissions/ecological footprint, water withdrawal per capita), Biocultural systems (indigenous population, biocultural savings), and Services/Welfare (life expectancy at birth, political and social participation). It includes the raw indicators, the Min-Max scaling scripts, and the Principal Component Analysis (PCA) outputs used to construct the governance composite indices (Techno-Governance [TG], Democratic Governance [DG], and Technological Governance [TechG]). These indices serve as the conditioning factors to analyze the bio-digital intersection, digital extractivism dynamics, and sustainability outcomes through fixed effects modeling.This dataset contains the balanced panel data (2010–2021) utilized for the empirical analysis in Chapter 4, "At the Bio-Digital Crossroads: Governance as a Conditioning Factor in AI-Driven Bioeconomy Systems," focusing on four biodiversity-rich Latin American countries: Bolivia, Ecuador, Honduras, and Mexico.