The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Cost-effectiveness of renewable electricity policies
Open accessAbstract
We analyze policies to promote renewable sources of electricity. A renewable portfolio standard raises electricity prices and primarily reduces gas-fired generation. A “knee” of the cost curve exists between 15% and 20% goals for 2020 in our central case, and higher natural gas prices lower the cost of greater reliance on renewables. A renewable energy production tax credit lowers electricity price at the expense of taxpayers and thus limits its effectiveness in reducing carbon emissions; it also is less costeffective at increasing renewables than a portfolio standard. Neither policy is as cost-effective as a capand-trade policy for achieving carbon emissions reductions.
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Cites
The Economic Implications of Learning by Doing
Arrow, K. J. (1962) · The Review of Economic Studies · doi:10.2307/2295952 · Cited by 7,202
The Economic Implications of Learning by Doing
Arrow, K. J. (1971) · Readings in the Theory of Growth · doi:10.1007/978-1-349-15430-2_11 · Cited by 6,605
Learning rates for energy technologies
McDonald, A., & Schrattenholzer, L. (2001) · Energy Policy · doi:10.1016/s0301-4215(00)00122-1 · Cited by 905
Experience Curves for Energy Technology Policy
International Energy Agency (2000) · OECD eBooks · doi:10.1787/9789264182165-en · Cited by 546
Technological change in economic models of environmental policy: a survey
Löschel, A. (2002) · Ecological Economics · doi:10.1016/s0921-8009(02)00209-4 · Cited by 527
The renewables portfolio standard in Texas: an early assessment
Langniss, O., & Wiser, R. (2003) · Energy Policy · doi:10.1016/s0301-4215(02)00095-2 · Cited by 199
The Effect of Allowance Allocation on the Cost of Carbon Emission TradingPreprint
Burtraw, D., Palmer, K., Bharvirkar, R., & Paul, A. C. (2001) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.10536 · Cited by 147
Self-citationEnvironmental and Technology Policies for Climate Change and Renewable EnergyPreprint
Fischer, C., & Newell, R. G. (2005) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.10789 · Cited by 63
Sterner, T., Höglund-Isaksson, L., Sterner, T., et al. (2000) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.10670 · Cited by 36
The Economic and Policy Setting of Renewable Energy: Where Do Things Stand?Preprint
Darmstadter, J., & Darmstadter, J. (2003) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.10777 · Cited by 8
Cited by
Nanotechnology‐Enabled Energy Harvesting for Self‐Powered Micro‐/Nanosystems
Wang, Z. L., & Wu, W. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201201656 · Cited by 1,063
Sensfuß, F., Ragwitz, M., & Genoese, M. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.03.035 · Cited by 962
Instrument Choice in Environmental Policy
Goulder, L. H., & Parry, I. W. H. (2008) · Review of Environmental Economics and Policy · doi:10.1093/reep/ren005 · Cited by 891
Wüstenhagen, R., & Menichetti, E. (2012) · Energy Policy · doi:10.1016/j.enpol.2011.06.050 · Cited by 505
Fürsch, M., Hagspiel, S., Jägemann, C., Nagl, S., Lindenberger, D., & Tröster, E. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.11.050 · Cited by 190
Metadata
- Authors
- Palmer, K., & Burtraw, D.
- Venue
- Energy Economics
- Publisher
- Elsevier BV
- Published
- 2005-11
- Volume
- 27
- Issue
- 6
- Pages
- 873-894
- ISSN
- 0140-9883 (ISSN-L)
- OpenAlex
- W2099830556
- Cited by
- 344
- References
- 10
- FWCI
- 7.04
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
