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Sustainable greenhouse policies: the role of non-CO2 gases
Institution:1. Energy Institute, Division Applied Mechanics and Energy Conversion, Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300A Box 2421, 3001 Leuven, Belgium;2. EnergyVille, Thor Park 8310, 3600 Genk, Belgium;3. VITO, Boeretang 200, BE-2400 MOL, Belgium;1. Stern College for Women, Yeshiva University, 215 Lexington Avenue, room 404, New York, NY 10016, USA;2. New York University, USA;1. Centre for Coastal Biogeochemistry, School of Environment, Science & Engineering, Southern Cross University, PO Box 157, Lismore 2480, NSW, Australia;2. Southern Cross Geoscience, Southern Cross University, PO Box 157, Lismore 2480, NSW, Australia;3. Aquatic Ecodynamics, UWA School of Agriculture and Environment, University of Western Australia, Crawley 6009, WA, Australia;1. Department of Psychology, University of Bath, UK;2. Welsh School of Architecture, Cardiff University, UK;3. School of Geography and Planning, Cardiff University, UK;4. Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, Germany
Abstract:This paper investigates the economic implications of a comprehensive approach to sustainable greenhouse policies, that strives to stabilise the atmospheric concentration of the five major greenhouse gases at an ecologically determined threshold level. Conditions for an efficient allocation of abatement effort among pollutants and over time, are derived within a theoretical optimisation model. This model is empirically specified and adapted to a dynamic GAMS algorithm. Through the use of simulation runs for a time period of 200 years (1990–2190), the economics of greenhouse gas accumulation are explored. Long-run cost associated with the above stabilisation target, are evaluated for two different policy scenarios: a comprehensive approach that covers all major greenhouse gases simultaneously, and a `piecemeal approach' that is limited to reducing CO2 or a selected subset of greenhouse gases, respectively. By comparing simulation results, potential losses in efficiency associated with a piecemeal approach are evaluated, and policy implications are discussed.
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