Broadening the perspective of zero-deforestation interventions in peru by incorporating concepts from the global value chain literature
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- sustainability-13-12138
Final published version, 2.66 MB, PDF document
Global narratives around the links between deforestation and agricultural commodity production have led to the application of voluntary zero-deforestation agreements between companies, governments, and civil society. The continued tropical deforestation warrants a re-examination of this approach in order to customize its application for a particular location. Our paper contributes to this by exploring the spatial associations between deforestation and the production of cacao, coffee, and oil palm in the Amazon region in Peru. The geographical overlaps between deforestation, and the distribution of these commodity crops, indicate four types of spatial associations: (1) a high degree of deforestation and a high degree of commodity production (high-high); (2) a high degree of deforestation and a low degree of commodity production (high-low); (3) a low degree of deforestation and a high degree of commodity production (low-high); and (4) a low degree of deforestation and a low degree of commodity production (low-low). On the basis of these associations, we present four scenarios in which zero-deforestation supply chain interventions may operate in Peru and argue that broadening the perspective of such interventions by adopting a global value chain lens can improve the use of previously deforested lands, prevent unintended or future deforestation and, in turn, ensure that no forest area is left behind.
Original language | English |
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Article number | 12138 |
Journal | Sustainability (Switzerland) |
Volume | 13 |
Issue number | 21 |
Number of pages | 17 |
ISSN | 2071-1050 |
DOIs | |
Publication status | Published - 1 Nov 2021 |
Bibliographical note
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Agricultural commodities, Climate action, Peruvian Amazon, Supply chains, Value chains, Zero-deforestation
Research areas
ID: 285317163