Accounting for Active Management and Risk Attitude in Forest Sector Models

Lobianco, Antonello; Delacote, Philippe; Caurla, Sylvain; Barkaoui, Ahmed

doi:10.1007/s10666-015-9483-1

Cited by 16 publications

(26 citation statements)

References 27 publications

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“…The expected returns are calculated annually starting in 2006, at the scale of the French administrative region (NUTS2). The revenue is for coniferous and broadleaved forests, and accounts for the potential switching between these two forest types under a constant forest area hypothesis (for more information, see Lobianco, Delacote, Caurla and Barkaoui, 2016).…”

Section: Proxies For Agricultural and Forestry Rentsmentioning

confidence: 99%

Agricultural rent in land-use models: comparison of frequently used proxies

Chakir

Lungarska

2017

Spatial Economic Analysis

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This paper compares the performance of econometric land use models based on three proxies for agricultural land rent: farmers' revenues, land prices, and shadow land prices derived from a mathematical programming model. We consider different land use classes (agriculture, pasture, forest, urban, and other), different determinants (economic, physical, and demographic) of land use shares, and different spatial econometric specifications. It is found that the inclusion of spatial components significantly improves the quality of predictions. In terms of economic interpretation, the shadow land prices provide the most stable and intuitive results.

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Section: Proxies For Agricultural and Forestry Rentsmentioning

confidence: 99%

Agricultural rent in land-use models: comparison of frequently used proxies

Chakir

Lungarska

2017

Spatial Economic Analysis

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“…The most recent version of the model (FFSM++;Lobianco et al (2015Lobianco et al ( , 2016) involves a third module, referred to as the microbased Area-Allocation module (AA) making it possible to project over longer horizons, and accounting for forest resource heterogeneity and the degree of forest owners expectations as well as their degree of risk-aversion.…”

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confidence: 99%

Material flow analysis of the forest-wood supply chain: A consequential approach for log export policies in France

Lenglet

Courtonne

Caurla

2017

Journal of Cleaner Production

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International audiencePart of the French timber transformation industry suffers from difficulties to adapt to recent changes on global markets. This translates into net exports of raw wood and imports of transformed products, detrimental to both the trade balance and the local creation of wealth. At the same time, no consistent and homogeneous accounts for wood product production and consumption exist at this time. This article first aims at objectifying this situation by undertaking the first material flow analysis of the French forest-wood supply chain. We then evaluate the potential consequences of various scenarios of raw wood exports reduction policies, namely subsidies for consumption or transformation and taxation of exports, on both economic outcomes for the different actors and material flows. We thus provide an example of coupling material flow analysis with economic modeling in an attempt to move from the diagnostic phase to the assessment of possible actions within a decision-making perspective

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“…Forest sector model.. Forestry land rents are approximated by the expected returns estimated by the partial-equilibrium model French Forest Sector Model (FFSM++) [18,19,55]. The recursive structure of the model is based on two modules -the first is dedicated to the dynamics of wood resources; the second focuses on the sector's market dynamics.…”

Section: Methodsmentioning

confidence: 99%

Climate-induced Land Use Change in France: Impacts of Agricultural Adaptation and Climate Change Mitigation

Lungarska¹,

Chakir²

2018

Ecological Economics

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Interaction between mitigation and adaptation is a key question for the design of climate policies. In this paper, we study how land use adaptation to climate change impacts land use competition in the agriculture, forest and other land use (AFOLU) sector and how a mitigation policy in agriculture might affect this competition. We use for this purpose two sector-specific bio-economic models of agriculture and forest combined with an econometric land use shares model to simulate the impacts of two climate change scenarios (A2 and B1, 2100 horizon), and a greenhouse gas emissions from agriculture policy consisting of a tax of between 0 and 200 e/tCO 2 equivalent. Our results show that both climate change scenarios lead to an increase in the area devoted to agriculture at the expense of forest which could have a negative impact on reducing greenhouse gas emissions responsible for climate change. The mitigation policy would curtail agricultural expansion, and thus could counteract the effects of land use adaptation to climate change.In other words, accounting for land use competition results in a reduction of the abatement costs of the mitigation policy in the agricultural sector.

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Accounting for Active Management and Risk Attitude in Forest Sector Models

Cited by 16 publications

References 27 publications

Agricultural rent in land-use models: comparison of frequently used proxies

Agricultural rent in land-use models: comparison of frequently used proxies

Material flow analysis of the forest-wood supply chain: A consequential approach for log export policies in France

Climate-induced Land Use Change in France: Impacts of Agricultural Adaptation and Climate Change Mitigation

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