ANALYSIS OF ENVIRONMENTAL AND ENERGY INDICATORS IN LATIN AMERICA AND THE CARIBBEAN: AN EVALUATION FROM MULTIVARIATE TECHNIQUES AND BIG DATA ON SUSTAINABILITY

Ruff Claudio, Institutional Research Center, Universidad Bernardo O’Higgins, Santiago, Chile

Shamaeva Ekaterina Fedorovna, Center for Sustainable Development Design, State University of Management, Moscow, Russia

Gutiérrez Bastián, Institutional Research Center, Universidad Bernardo O’Higgins, Santiago, Chile

Matheu Alexis, Institutional Research Center, Universidad Bernardo O’Higgins, Santiago, Chile

Golovin Andrey Arkadievich, Center for Sustainable Development Design, State University of Management, Moscow, Russia

Pugach Alexey Dmitrievich, Center for Sustainable Development Design, State University of Management, Moscow, Russia

Cornejo Cristián, Institutional Research Center, Universidad Bernardo O’Higgins, Santiago, Chile

Ruiz Marcelo, Institutional Research Center, Universidad Bernardo O’Higgins, Santiago, Chile

Abbas Nadezda, Institutional Research Center, Universidad Bernardo O’Higgins, Santiago, Chile

Abstract

In the current context of concern for environmental impacts derived from human activity, the focus on sustainable development and environmental impact assessment (EIA) has gained prominence. The Brundtland Commission highlights the importance of meeting current needs without compromising future ones, leading to international treaties and public policies to address the environmental crisis. In Latin America and the Caribbean, the Latin American and Caribbean Initiative for Sustainable Development (ILAC) seeks to promote sustainable development in key areas. Environmental indicators are used to measure progress, but the complexity of the data presents challenges in measuring and monitoring environmental dynamics. Models such as Pressure-State-Response (PSR) and Driving Forces-Pressure-State-Impact-Response (FPEIR) help to analyze the interactions between human activities, environmental pressures, states and societal responses. Energy efficiency and destination are crucial for sustainable use of energy resources and emission reduction. Dynamic biplots and multivariate analyses allow us to examine the evolution of variables and countries in terms of installed capacity to produce electricity, proportions of renewable primary energy supply and fossil fuel subsidies. Trends in the increase of renewable energy production capacity are evident, while the correlation between the proportion of fossil fuel subsidies and the renewable proportion of primary energy supply presents a weak inverse relationship. Although environmental information presents challenges, the analysis of indicators and conceptual models contributes to the understanding of environmental dynamics and progress towards sustainable development in the region.

KEYWORDS: sustainable development, environmental indicators, renewable energy, multivariate methods.

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