Stimulating fuelwood consumption through public policies: An assessment of economic and resource impacts based on the French Forest Sector Model

The importance of introducing spatial heterogeneity in bio-economic forest models: Insights gleaned from FFSM++

“…The dynamic of the first version of the model (without the management) is described in Caurla et al (2010Caurla et al ( , 2013, whereas the Area Allocation Module is detailed in Lobianco et al (2014).…”

Assessment of the Impact of Climate Change Policies on the Market for Forest Industrial Residues

“…Given that the GoC is developing a Clean Fuel Standard for liquid, gaseous and solid fuels, potential competition between biofuels and traditional forest products is a consideration as previous models have demonstrated negative impacts on the composite panel industry [86,87]. Other models have included or considered additional factors to determine the best policy, such as trade balance and budgetary costs [17] and changes in the make-up of electricity capacity [18]. Although it is important to note that the best policies depend on the ultimate goal of the policy, e.g., short or long-term contribution to climate change mitigation from the land sector vs. increased wood use for bioenergy [17,18] The analysis presented here evaluates the effects of the GoC's carbon pricing policy and CF Standard credits on the Canadian composite panel industry.…”

“…Other models have included or considered additional factors to determine the best policy, such as trade balance and budgetary costs [17] and changes in the make-up of electricity capacity [18]. Although it is important to note that the best policies depend on the ultimate goal of the policy, e.g., short or long-term contribution to climate change mitigation from the land sector vs. increased wood use for bioenergy [17,18] The analysis presented here evaluates the effects of the GoC's carbon pricing policy and CF Standard credits on the Canadian composite panel industry. Although the analysis examines the indirect impacts of the climate policies on the panel industry ceteris paribus, this approach allows for a concise analysis of the possible implications of an increase in consumer demand for bioenergy.…”

“…Another study looked at the impact of bioenergy subsidies for coal to biomass conversions and carbon pricing on the uptake of bioenergy in the European Union [16]. Modeling done with the French Forest Sector Model has demonstrated that the impact on forest resource prices and availability depend on the type of policy implemented and whether policies are supporting biomass for heat or for energy [17,18] For example, the impacts on the forest sector and beyond depend on where in the supply chain the policies are targeted, e.g., upstream as a producer subsidy, downstream as a consumer subsidy or as fixed demand in the form of public procurement [17]. In Canada, researchers have examined the impact of increased bioenergy production on carbon emissions [19][20][21], changes in fiber flows and supply [13,22], production [12].…”

An assessment of forest sector modeling approaches: conceptual differences and quantitative comparison

“…We have chosen to use the division intertemporal/endogenous forest growth versus dynamic recursive/exogenous forest growth throughout the paper because most intertemporal forest sector models are rich in forest data, and most dynamic recursive models do not include detailed forest growth and management. There are however a few exceptions: timber supply in the intertemporal European Forest and Agriculture Sector Optimization Model (EU-FASOM) is based on econometric relations (Lauri et al 2012) and the French Forest Sector Model (Caurla et al 2013) has more detailed representation of forest dynamics, but with forest growth still exogenous to the model. Although both types of models have been used to evaluate similar questions (see Latta et al (2013) for a review) few studies exist where dynamic recursive models are compared with intertemporal optimization models.…”