2007
DOI: 10.1016/j.forpol.2006.05.006
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Forest conservation in the Philippines: An economic assessment of selected policy responses using a computable general equilibrium model

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Cited by 10 publications
(4 citation statements)
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“…Economy-wide frameworks have also been used to analyze forest-related issues. Some of these experiences are reviewed in Banerjee and Alavalapati (2014) and include analysis of changes in stumpage fees and related policies (Alavalapati, Percy, & Luckert, 1997; Dee, 1991; Stenberg & Sirwardana, 2009). Forest-product trade-related issues have also been explored by Dufournaud, Jerrett, Quinn, and Maclaren (2000) and Gan (2004, 2005).…”
Section: Economy-wide Modeling Of Economic–environmental Interactionsmentioning
confidence: 99%
“…Economy-wide frameworks have also been used to analyze forest-related issues. Some of these experiences are reviewed in Banerjee and Alavalapati (2014) and include analysis of changes in stumpage fees and related policies (Alavalapati, Percy, & Luckert, 1997; Dee, 1991; Stenberg & Sirwardana, 2009). Forest-product trade-related issues have also been explored by Dufournaud, Jerrett, Quinn, and Maclaren (2000) and Gan (2004, 2005).…”
Section: Economy-wide Modeling Of Economic–environmental Interactionsmentioning
confidence: 99%
“…Computational General Equilibrium (CGE) models, often used to assess socioeconomic impacts of forest policy (Shen et al, 2009;Stenberg and Siriwardana, 2007), are also not appropriate in developing economies. This is because the economy responds poorly to changing market prices or induced markets of forestry products.…”
Section: Similar Issues Have Arisen In Other Countriesmentioning
confidence: 99%
“…Gan (2005) evaluated the impact of forest certification on welfare, output, prices, and trade patterns. Stenberg and Siriwardana (2007) examined the economic effects of selective logging, stumpage taxes, set-aside areas and secure forest land tenure on the Philippine economy using a standard CGE model and a forestry sub-model.…”
Section: Cge Applications In Forestrymentioning
confidence: 99%