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|a dlr
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|a HG3881.5.W57
|b P63 no.4033
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| 049 |
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|a GWRE
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| 100 |
1 |
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|a Marschinski, Robert.
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| 245 |
1 |
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|a Do intensity targets control uncertainty better than quotas? :
|b conditions, calibrations, and caveats /
|c Robert Marschinski and Franck Lecocq.
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| 260 |
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|a [Washington, D.C.] :
|b World Bank, Development Research Group, Infrastructure and Environment Team,
|c [2006]
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| 300 |
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|a 1 online resource (39 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Policy research working paper ;
|v 4033
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| 500 |
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|a Title from PDF file as viewed on 12/19/2006.
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| 504 |
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|a Includes bibliographical references.
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|a Among policy instruments to control future greenhouse gas emissions, well-calibrated general intensity targets are known to lead to lower uncertainty on the amount of abatement than emissions quotas (Jotzo and Pezzey 2004). The authors test whether this result holds in a broader framework, and whether it applies to other policy-relevant variables as well. To do so, they provide a general representation of the uncertainty on future GDP, future business-as-usual emissions, and future abatement costs. The authors derive the variances of four variables, namely (effective) emissions, abatement effort, marginal abatement costs, and total abatement costs over GDP under a quota, a linear (LIT) and a general intensity target (GIT)-where the emissions ceiling is a power-law function of GDP. They confirm that GITs can yield a lower variance than a quota for marginal costs, but find that this is not true for total costs over GDP. Using economic and emissions scenarios and forecast errors of past projections, the authors estimate ranges of values for key parameters in their model. They find that quotas dominate LITs over most of this range, that calibrating GITs over this wide range is difficult, and that GITs would yield only modest reductions in uncertainty relative to quotas.
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|a Abatement Costs.
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|a Abatement Level.
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| 650 |
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|a Climatic changes.
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| 650 |
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|a Economic Theory and Research.
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|a Effective Emissions.
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| 650 |
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|a Emission.
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| 650 |
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|a Emission Reductions.
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| 650 |
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|a Emissions Relative.
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| 650 |
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|a Abatement Cost.
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| 650 |
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|a Abatement.
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| 650 |
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|a Energy.
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| 650 |
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|a Energy and Environment.
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| 650 |
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|a Energy Production and Transportation.
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| 650 |
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|a Ecology.
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| 650 |
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|a Environment and Energy Efficiency.
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| 650 |
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|a Finance and Financial Sector Development.
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| 650 |
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|a Fuel.
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| 650 |
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|a Gas Emission.
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| 650 |
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|a Macroeconomics and Economic Growth.
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| 650 |
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|a Pollution Management and Control.
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| 650 |
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|a Public Sector Development.
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| 650 |
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|a Transportation.
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| 650 |
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|a Transport and Environment.
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| 650 |
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|a Ecology
|2 fast
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| 650 |
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|a Climatic changes
|2 fast
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| 650 |
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|a Fuel
|2 fast
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| 650 |
|
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|a Transportation
|2 fast
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| 758 |
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|i has work:
|a Do intensity targets control uncertainty better than quotas? (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCH46TthmmM4jK3xjBJFbtX
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a Marschinski, Robert.
|t Do intensity targets control uncertainty better than quotas?.
|d [Washington, D.C.] : World Bank, Development Research Group, Infrastructure and Environment Team, [2006]
|w (OCoLC)76946136
|
| 830 |
|
0 |
|a Policy research working papers (Online) ;
|v 4033.
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| 856 |
4 |
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|u https://openknowledge.worldbank.org/handle/10986/9016
|z Full Text (via Open Knowledge Repository)
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| 915 |
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|a M
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| 956 |
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|a World Bank Open Knowledge
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| 956 |
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|b World Bank Group: Open Knowledge Repository
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| 998 |
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|b New collection global.5644.245
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| 994 |
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|a 92
|b COD
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| 999 |
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| 952 |
f |
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|p Can circulate
|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e HG3881.5.W57 P63 no.4033
|h Library of Congress classification
|i web
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