The New Elsan Evaluation of Environmental Impact (EEEI) Method for the Assessment of Environmental Impacts of Industrial Activities in Rural Communities

Abstract

The Elsan Evaluation of Environmental Impact (EEEI) method represents a transformative approach to assessing environmental impacts in rural communities affected by industrial activities, particularly mining. This study focuses on three communities in Tankoro Chiefdom, Sierra Leone—Kanniya, Koakoyima, and Sahr Quee Town—to evaluate the environmental, social, and economic consequences of mining operations. The EEEI method integrates community perceptions with advanced statistical analyses, offering a unique combination of inclusivity and rigour. Using multivariate statistical techniques, the study identifies significant environmental degradation, including deforestation and water contamination, as well as socio-economic disruptions, such as displacement and loss of traditional livelihoods. Positive impacts, such as job creation and infrastructure development, were observed but were limited in scope and overshadowed by the broader negative consequences. Unlike traditional approaches like the Rapid Impact Assessment Matrix (RIAM), which rely on qualitative scoring, the EEEI method employs a standardised numerical framework, allowing for objective, replicable, and scalable evaluations. Results demonstrate significant main effects for individual predictors and highlight a moderate interaction effect between the Kanniya and Sahr Quee Town communities. The study concludes that the EEEI method is a robust tool for environmental assessments, capable of revealing critical insights into the interconnected dynamics of industrial impacts. Recommendations are provided for further testing and refinement of the EEEI model across diverse contexts, emphasising its potential for broader application in environmental governance and policymaking.