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Negative incentives and sustainability in the amazonian logging industry [Negative incentives and sustainability in the amazonian logging industry]

Hilder André Bezerra Farias, Sergio Rivero and Márcia Jucá Teixeira Diniz
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Hilder André Bezerra Farias: UFPA
Márcia Jucá Teixeira Diniz: UFPA

Nova Economia, 2017, vol. 27, issue 3, 363-391

Abstract: This paper investigates the existence of lock-in of low technology and high environmental impact on Brazilian Amazon logging industry. The research employed evolutionary economics as a theoretical basis, especially the concept of technological trajectories. The duality of decisions involving logging - conventional logging (CL) versus reduced-impact logging (RIL) - was studied. An agent-based simulation model - in which decision-making under bounded rationality is based on a genetic algorithm - was implemented in Java programming language. Results demonstrate the existence of lock-in, producers aversion to risks, greater operational efficiency of sustainable logging, and benefits derived from a policy of environmental bonuses, both in economic and ecological terms.

Keywords: logging industry; bounded rationality; agent-based simulation; reduced-impact logging; evolutionary economics (search for similar items in EconPapers)
JEL-codes: B52 C63 Q23 (search for similar items in EconPapers)
Date: 2017
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Handle: RePEc:nov:artigo:v:27:y:2017:i:3:p:363-391