Negative incentives and sustainability in the amazonian logging industry

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1. Verfasser: Hilder André Bezerra Farias
Format: Artículo científico
Sprache:en
Veröffentlicht: Universidade Federal de Minas Gerais 2017
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author Hilder André Bezerra Farias
author_facet Hilder André Bezerra Farias
contents Negative incentives and sustainability in the amazonian logging industry Hilder André Bezerra Farias Sérgio Luiz de Medeiros Rivero Márcia Jucá Teixeira Diniz Economía y Finanzas agent reduced impact logging Logging industry based simulation 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. 2017 artículo científico 0103-6351 https://www.redalyc.org/articulo.oa?id=400454872001 https://www.redalyc.org/journal/4004/400454872001/ https://www.redalyc.org/journal/4004/400454872001/html/ https://www.redalyc.org/journal/4004/400454872001/400454872001.epub https://www.redalyc.org/journal/4004/400454872001/movil 10.1590/0103-6351/2735 en http://www.redalyc.org/revista.oa?id=4004 Nova Economia application/pdf Universidade Federal de Minas Gerais Nova Economia (Brasil) Num.3 Vol.27
format Artículo científico
id redalyc_400454872001
institution Redalyc
language en
publishDate 2017
publisher Universidade Federal de Minas Gerais
spellingShingle Negative incentives and sustainability in the amazonian logging industry
Hilder André Bezerra Farias
Economía y Finanzas
agent
reduced
impact logging
Logging industry
based simulation
Negative incentives and sustainability in the amazonian logging industry Hilder André Bezerra Farias Sérgio Luiz de Medeiros Rivero Márcia Jucá Teixeira Diniz Economía y Finanzas agent reduced impact logging Logging industry based simulation 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. 2017 artículo científico 0103-6351 https://www.redalyc.org/articulo.oa?id=400454872001 https://www.redalyc.org/journal/4004/400454872001/ https://www.redalyc.org/journal/4004/400454872001/html/ https://www.redalyc.org/journal/4004/400454872001/400454872001.epub https://www.redalyc.org/journal/4004/400454872001/movil 10.1590/0103-6351/2735 en http://www.redalyc.org/revista.oa?id=4004 Nova Economia application/pdf Universidade Federal de Minas Gerais Nova Economia (Brasil) Num.3 Vol.27
title Negative incentives and sustainability in the amazonian logging industry
topic Economía y Finanzas
agent
reduced
impact logging
Logging industry
based simulation
url https://www.redalyc.org/articulo.oa?id=400454872001
https://www.redalyc.org/journal/4004/400454872001/
https://www.redalyc.org/journal/4004/400454872001/html/
https://www.redalyc.org/journal/4004/400454872001/400454872001.epub
https://www.redalyc.org/journal/4004/400454872001/movil