The Evidence Base for Environmental and Socioeconomic Impacts of “Sustainable” Certification

By Allen Blackman, Jorge Rivera. 2010

159 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Plant Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/8ac6eb163ed72e9d8fb629008983eef77efc66e6

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In Global and Planetary Change

In Plant Science

In Strategy and Management

Citations in the corpus

Does eco-certification have environmental benefits? Organic coffee in Costa Rica (2012, background): “Blackman and Rivera (2010) reviewed 133 studies of commodity certification and identified only three that both constructed a reasonable counterfactual and focused on environmental (versus socioeconomic) impacts.”
The effectiveness of agricultural certification in developing countries: A systematic review (2018, background): “Previous attempts to review and synthesise the evidence (International Trade Centre 2011, Blackman and Rivera 2010; Vagneron and Roquigny 2011) have shown that much of the existing body of empir- ical literature is still characterised by evaluation designs vulnerable to validity threats, while the…”
The ambivalent impact of coffee certification on farmers' welfare: A matched panel approach for cooperatives in Central Kenya (2016, background): “This approach is considered as a welcome addition to the existing comparative overview studies (see: Blackman & Rivera, 2010; Le Mare, 2008; Nelson & Pound, 2009) but permits more thorough insights into the—sometimes contradictory—effects that might occur at different system levels.”
Forest Figures: Ecosystem Services Valuation and Policy Evaluation in Developing Countries (2012, background): “See Blackman et al. (2009) for a review on eco-certification.”
Responding to Globalization: Impacts of Certification on Colombian Small-Scale Coffee Growers (2013, methodology): “In the survey, we included a set of variables to check a posteriori whether our sample selection method had effectively controlled for possible selection bias, a challenge of such evaluations (Blackman and Rivera 2010).”