Bioenergy and Land Use Change
AbstractThis is the first paper that estimates the global land use change impact of growth of the bioenergy sector. Applying time-series analytical mechanisms to fuel, biofuel and agricultural commodity prices and production, we estimate the long-rung relationship between energy prices, bioenergy production and the global land use change. Our results suggest that rising energy prices and bioenergy production significantly contribute to the global land use change both through the direct and indirect land use change impact. Globally, the total agricultural area yearly increases by 35578.1 thousand ha due to increasing oil price, and by 12125.1 thousand ha due to increasing biofuel production, which corresponds to 0.73% and 0.25% of the total world-wide agricultural area, respectively. Soya land use change and wheat land use change have the highest elasticities both with respect to oil price and biofuel production. In contrast, non-biomass crops (grassland and rice) have negative land use change elasticities. Region-specific results suggest that South America faces the largest yearly total land use change associated with oil price increase (+10600.7 thousand ha), whereas Asia (+8918.6 thousand ha), South America (+4024.9 thousand ha) and North America (+1311.5 thousand ha) have the largest yearly total land use change associated with increase in biofuel production.
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Bibliographic InfoPaper provided by International Association of Agricultural Economists in its series 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil with number 126379.
Date of creation: 2012
Date of revision:
Near-VAR; Energy; Bioenergy; Land use; Crude oil; Environmental Economics and Policy; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Land Economics/Use; C14; C22; C51; D58; Q11; Q13;
Other versions of this item:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
- Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
- Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
- Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
This paper has been announced in the following NEP Reports:
- NEP-AGR-2012-07-23 (Agricultural Economics)
- NEP-ALL-2012-07-23 (All new papers)
- NEP-CWA-2012-07-23 (Central & Western Asia)
- NEP-ENE-2012-07-23 (Energy Economics)
- NEP-ENV-2012-07-23 (Environmental Economics)
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