Deforestation, certification, and transnational palm oil supply chains: Linking Guatemala to global consumer markets.

Certification Deforestation Governance Guatemala Palm oil Supply chain risk

Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
15 Oct 2023
Historique:
received: 01 05 2023
revised: 16 06 2023
accepted: 23 06 2023
medline: 18 9 2023
pubmed: 4 7 2023
entrez: 3 7 2023
Statut: ppublish

Résumé

Although causal links between tropical deforestation and palm oil are well established, linking this land use change to where the palm oil is actually consumed remains a distinct challenge and research gap. Supply chains are notoriously difficult to track back to their origin (i.e., the 'first-mile'). This poses a conundrum for corporations and governments alike as they commit to deforestation-free sourcing and turn to instruments like certification to increase supply chain transparency and sustainability. The Roundtable on Sustainable Palm Oil (RSPO) offers the most influential certification system in the sector, but whether it actually reduces deforestation is still unclear. This study used remote sensing and spatial analysis to assess the deforestation (2009-2019) caused by oil palm plantation expansion in Guatemala, a major palm oil source for international consumer markets. Our results reveal that plantations are responsible for 28% of deforestation in the region and that more than 60% of these plantations encroach on Key Biodiversity Areas. RSPO-certified plantations, comprising 63% of the total cultivated area assessed, did not produce a statistically significant reduction in deforestation. Using trade statistics, the study linked this deforestation to the palm oil supply chains of three transnational conglomerates - Pepsico, Mondelēz International, and Grupo Bimbo - all of whom rely on RSPO-certified supplies. Addressing this deforestation and supply chain sustainability challenge hinges on three measures: 1) reform of RSPO policies and practices; 2) robust corporate tracking of supply chains; and 3) strengthening forest governance in Guatemala. This study offers a replicable methodology for a wide-range of investigations that seek to understand the transnational linkages between environmental change (e.g. deforestation) and consumption.

Identifiants

pubmed: 37399622
pii: S0301-4797(23)01293-8
doi: 10.1016/j.jenvman.2023.118505
pii:
doi:

Substances chimiques

Palm Oil 5QUO05548Z

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

118505

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Calli P VanderWilde (CP)

University of Michigan School for Environment and Sustainability, 440 Church Street, Ann Arbor, MI, 48109, USA. Electronic address: calliv@umich.edu.

Joshua P Newell (JP)

University of Michigan School for Environment and Sustainability, 440 Church Street, Ann Arbor, MI, 48109, USA. Electronic address: jpnewell@umich.edu.

Dimitrios Gounaridis (D)

University of Michigan School for Environment and Sustainability, 440 Church Street, Ann Arbor, MI, 48109, USA. Electronic address: dgounar@umich.edu.

Benjamin P Goldstein (BP)

McGill University, Department of Bioresource Engineering, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada. Electronic address: ben.goldstein@mcgill.ca.

Articles similaires

How Certification Exams Reflect Current Practice.

Tara L Myers, Sean DeGarmo, Marianne Horahan
1.00
Humans Certification Clinical Competence Education, Nursing, Continuing Adult
Zea mays Triticum China Seasons Crops, Agricultural
Ethiopia Conservation of Natural Resources Environmental Monitoring Soil Soil Erosion
Cities China Government Conservation of Natural Resources Humans

Classifications MeSH