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An Overview of the Environmental Impact Assessment of Mining Projects in Chile

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  • Dante Rodríguez-Luna

    (Department of Civil Engineering, Catholic University of Murcia, 30107 Murcia, Spain
    Facultad de Ingeniería, Instituto de Ciencias Químicas Aplicadas, Universidad Autónoma de Chile, Santiago 8910060, Chile)

  • Francisco Encina-Montoya

    (Nucleus of Environmental Studies, Catholic University of Temuco, Temuco 4781312, Chile)

  • Francisco Javier Alcalá

    (Facultad de Ingeniería, Instituto de Ciencias Químicas Aplicadas, Universidad Autónoma de Chile, Santiago 8910060, Chile
    Departamento de Desertificación y Geo-Ecología, Estación Experimental de Zonas Áridas (EEZA—CSIC), 04120 Almería, Spain)

  • Nuria Vela

    (Applied Technology Group to Environmental Health, Faculty of Health Science, Catholic University of Murcia, 30107 Murcia, Spain)

Abstract

In accordance with the Sustainable Development Goals of the United Nations, the Environmental Impact Assessment (EIA) is the main management tool used to identify and prevent the impact of productive activities on the environment and human health and promote compensation measures. Metallic mining is the main productive sector in Chile. In 2021, Chile was the highest global producer of copper, the second-highest producer of molybdenum, and the third-highest producer of silver. Other types of non-metallic mining, such as siliceous aggregates, iodine, and hydrocarbons, are also notable. Mining activity requires robust and flexible environmental legislation. This paper analyzes the performance of the Chilean EIA system regarding mining projects entered into the system as Environmental Impact Declarations (EIDs) for low-incident projects and Environmental Impact Studies (EISs) for high-incident projects. The 2867 mining projects submitted to the Chilean EIA system as EIDs (91.8%) and EISs (8.2%) between 1994 and 2019 were compiled. For a proper performance evaluation, a representative sample of 68 projects (61 EID and 7 EIS) was studied through a principal coordinate analysis using eleven indicators widely used in the EIA scientific literature. The results do not show significant differences between the EID and EIS projects or remarkable differences regarding the increasing restrictions introduced by the successive regulatory periods SD30, SD95, and SD40. Based on the observed weaknesses, four opportunities for improvement are proposed focused on creating a simplified sanctioning procedure, upgrading the form of delivery of the project monitoring information, early citizen participation, and incorporating the climate change variable into the projects. This paper extends the methodology introduced in previous papers to evaluate the performance of the Chilean EIA system in mining projects, seeking also to offer a feasible methodology to other countries with a similar socio-economic context or other productive sectors potentially impacted by the degradation of land and renewable natural resources.

Suggested Citation

  • Dante Rodríguez-Luna & Francisco Encina-Montoya & Francisco Javier Alcalá & Nuria Vela, 2022. "An Overview of the Environmental Impact Assessment of Mining Projects in Chile," Land, MDPI, vol. 11(12), pages 1-16, December.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2278-:d:1001678
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    References listed on IDEAS

    as
    1. Dante Rodríguez-Luna & Nuria Vela & Francisco Javier Alcalá & Francisco Encina-Montoya, 2021. "The Environmental Impact Assessment in Aquaculture Projects in Chile: A Retrospective and Prospective Review Considering Cultural Aspects," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    2. Dante Rodríguez-Luna & Francisco Javier Alcalá & Francisco Encina-Montoya & Nuria Vela, 2022. "The Environmental Impact Assessment of Sanitation Projects in Chile: Overview and Improvement Opportunities Focused on Follow-Ups," IJERPH, MDPI, vol. 19(7), pages 1-17, March.
    3. Peter M. Fayers & David J. Hand, 2002. "Causal variables, indicator variables and measurement scales: an example from quality of life," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 233-253, June.
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