Broadening the perspective of zero-deforestation interventions in peru by incorporating concepts from the global value chain literature
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Broadening the perspective of zero-deforestation interventions in peru by incorporating concepts from the global value chain literature. / Castro-Nunez, Augusto Carlos; Villarino, Ma Eliza J.; Bax, Vincent; Ganzenmüller, Raphael; Francesconi, Wendy.
In: Sustainability (Switzerland), Vol. 13, No. 21, 12138, 01.11.2021.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Broadening the perspective of zero-deforestation interventions in peru by incorporating concepts from the global value chain literature
AU - Castro-Nunez, Augusto Carlos
AU - Villarino, Ma Eliza J.
AU - Bax, Vincent
AU - Ganzenmüller, Raphael
AU - Francesconi, Wendy
N1 - Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - 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.
AB - 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.
KW - Agricultural commodities
KW - Climate action
KW - Peruvian Amazon
KW - Supply chains
KW - Value chains
KW - Zero-deforestation
U2 - 10.3390/su132112138
DO - 10.3390/su132112138
M3 - Journal article
AN - SCOPUS:85118566295
VL - 13
JO - Sustainability
JF - Sustainability
SN - 2071-1050
IS - 21
M1 - 12138
ER -
ID: 285317163