Conditions for Voluntary Adoption of Best Management Practices

Conditions for Voluntary Adoption of Best Management Practices

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On behalf of USAID/Peru, I4DI recently undertook a mixed-methods study to answer the question, “Under what conditions have private industries and investors become voluntary adopters of best management practices in hydropower, oil and gas, large-scale industrial mining, and road projects?”

Best management practices (BMPs) are those that minimize the negative environmental, social, and/or economic impacts that stem from the use of typical practice in such investments. Voluntary adoption of BMPs has been documented around the world, but comparative analyses of the drivers of voluntary adoption are scarce.

With a particular focus on private industries working in Amazonia, Latin America, and/or areas pertinent to tropical forests, this study examined BMPs applied across various aspects of project development and implementation and developed a model that helps predict the conditions under which private industries and investors become voluntary adopters, and that thus could be implemented in the coming high-impact projects within the Amazon region.

As part of the final research study report, I4DI presents a series of situational and contextual factors that benefit the adoption of a voluntary practice by private actors, and the ways in which these BMPs generate positive impacts to the local communities of the influence areas and positive gains for the environment. I4DI also critically examines some situations in which impacts were not as positive as expected.

I4DI’s study provides a safe ground for setting up and further discussion clusters regarding BMPs design and implementation. CEOs from the companies that implement(ed) the BMPs for this study could disseminate the respective outcomes and lead the realization of thematic and sectorial gatherings concerning the paradigm shift of doing business within the gradual acceptance of the sustainability discourse, including local NGOs and community representatives that could add value to the framing of future BMPs. I4DI’s predictive model for BMP voluntary adoption could also be tested and validated in related forthcoming efforts by USAID in the Amazon region as part of the Amazon Regional Environment Strategic Framework (FY 2017 – 2022).

For additional data and information please refer to the final research report: I4DI BMP Research Report

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