Arbeitspapier

Deforestation Rate in the Long-run: the Case of Brazil

In this article we study the long-run average rate of forest conversion in Brazil. Deforestation results from the following trade-off: on the one hand, the uncertain value of benefits associated with forest conservation (biodiversity, carbon sequestration and other ecosystem services), on the other hand, the economic profits associated with land development (agriculture, ranching, etc.). We adopt the model by Bulte et al. (2002) as theoretical frame for studying land conversion and then derive, following Di Corato et al. (2013), the associated long-run average rate of forest conversion. We then identify the parameters to be used in our model. The object of our simulation is Brazil and 27 states. Our aim is to compute under several scenarios the time required to develop the remaining forested land in these states. We provide potential future scenarios, in terms of forest coverage, for the next 20, 100 and 200 years. Our results suggest that the uncertainty characterizing forest benefits plays a relevant role in deterring deforestation. We find that these benefits, if growing at a sufficiently high rate, may significantly slow down the conversion process. In contrast, a higher volatility accelerates the process of deforestation. We indicate the Brazilian states where forests are expected to be saturated earlier. In this respect, we find that forestland currently available may be expected to be fully converted within a 200-year horizon.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 56.2016

Klassifikation
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Criteria for Decision-Making under Risk and Uncertainty
Renewable Resources and Conservation: Land
Environmental Economics: Government Policy
Thema
Deforestation
Long-run
Natural Resources Management
Optimal Stopping

Ereignis
Geistige Schöpfung
(wer)
Di Corato, Luca
Moretto, Michele
Vergalli, Sergio
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
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Objekttyp

  • Arbeitspapier

Beteiligte

  • Di Corato, Luca
  • Moretto, Michele
  • Vergalli, Sergio
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2016

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