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In February 2000, the Administration sent its fiscal year 2001 budget request to the U.S. Congress. The Administration's budget for fiscal year 2001 includes about $4 billion in programs related to climate change. The proposal includes about $1.6 billion for tax incentives, research, development, and deployment, and other spending for the Climate Change Technology Initiative (CCTI). CCTI includes tax incentives for deploying energy efficiency improvements and renewable technologies for buildings, light-duty vehicles, and electricity generation. Other funding covers research, development, and deployment for energy-efficient and renewable technologies, appliance standards, and carbon sequestration research. One focus of these programs is climate change, but they often have additional benefits for improved air quality due to reductions in other emissions, enhanced energy security, maintaining U.S. leadership in science and technology, and improved international competitiveness. Although the tax incentives are largely new initiatives, many of the other programs are continuations or expansions of ongoing research, development, and deployment programs. The total fiscal year 2001 budget request for CCTI programs for all Federal agencies comprises about $1.4 billion for research, development, and deployment (representing an increase of $337 million over the fiscal year 2000 budget) and $201 million for tax incentives. The analysis described in this report examines all the CCTI programs with the exception of $65 million for management, planning, and analysis programs at the U.S. Department of Energy (DOE), the U.S. Environmental Protection Agency (EPA), and the U.S. Department of Agriculture (USDA) and $3 million for the Energy Information Administration (EIA). The most detailed analysis in this report is for the tax incentives proposed in CCTI, which are new initiatives or extensions of current tax credits. Generally, EIA is not able to link research and development expenditures directly to program results or to separate the impacts of incremental funding requested for fiscal year 2001 from ongoing program expenditures. Other programs included in the climate change budget include the U.S. Global Change Research Program, the International Clean Energy Initiative, the Biofuels and Bioproducts Initiative, the Clean Air Partnership Fund, and programs with climate change co-benefits--for example, improved coal and natural gas-fired generation, weatherization, and State energy grants. There are additional initiatives supported by the Administration that have a primary or ancillary purpose in reducing greenhouse gas emissions. These include, but are not limited to, establishing a program for early action in reducing emissions, industry consultations, electricity restructuring, and changes in Federal procurement to increase energy efficiency and the use of renewable energy technologies in the Federal Government. With the exception of electricity restructuring, the impacts of these programs are difficult to quantify and are not discussed in this analysis. Tax Incentives The proposed CCTI tax incentives include investment tax credits to consumers for buildings and vehicles that would lower the initial costs of more energy-efficient and renewable technologies, a revision to the depreciation schedule for distributed power property, and production tax credits for renewable generation technologies. The revenue impacts of the proposed tax incentives, as estimated by the Administration, total $201 million in fiscal year 2001 and $4.0 billion from fiscal years 2001 through 2005, all in nominal dollars. Although the tax incentives as proposed would generally be short term in nature, their longer-term purpose is to encourage the use of energy-efficient and renewable energy technologies, reducing their production costs and creating a more mature market for them. Some past tax incentives have been able to accelerate substantially the introduction of new technologies into the market. For example, natural gas production from coal seams has grown dramatically since the late 1980's, largely because of tax credits that provide an incentive for the production of high-cost gas supplies. In 1997, 1,090 billion cubic feet, or 6 percent of total U.S. production, came from coal seams, compared with 41 billion cubic feet in 1988. The tax credit has also contributed to sustained development of natural gas from coal seams by promoting an improved understanding of unconventional gas reservoirs, leading to new and lower-cost technologies for its recovery. Other tax credits have had little impact, including the current biomass tax credit and the solar tax credit which was enacted in 1978 and expired in 1985. Important factors in the success of tax incentives include the timing, duration, and magnitude of the incentives. Compared to some earlier tax credits, including the 40-percent solar tax credit, the incentives currently proposed are generally of small to modest magnitude and of relatively short duration. Other factors include the definition of qualifying entities and the different incentives provided by investment and production tax credits. Investment tax credits reduce the after-tax cost to the investor at the time a capital investment is made, while production tax credits provide a return during the life of the credit. The proposed incentives are summarized below:
Research, Development, and Deployment In addition to tax incentives, CCTI includes about $1.4 billion of funding in the fiscal year 2001 budget request for research, development, and deployment of energy-efficient equipment and renewable energy and for research into carbon sequestration. Some of the research and development programs aim to reduce the costs and improve the operating characteristics of existing technologies, making them more economically competitive with conventional technologies. Others are directed toward inventing and developing new technologies. Some of the proposed technologies are speculative and may achieve benefits in a very long time frame or may not achieve success at all. Past research and development programs have contributed to improved energy efficiency and therefore lower carbon emissions. For example, there has been considerable impact on cost reductions and efficiency improvements for natural gas-fired, combined-cycle electricity generating plants. In the Annual Energy Outlook 1987, it was assumed that these plants would cost $866 per kilowatt (1998 dollars) and have an efficiency of 41 percent. By Annual Energy Outlook 2000 (AEO2000),(3) these assumptions were revised to a cost of $449 per kilowatt and an efficiency of 49 percent. Less conductive windows and improved ballasts for lighting are additional examples of more efficient technologies as a result of research and development. Other benefits, such as improved quality of life and increased economic growth, may also result from research and development. It is difficult, however, to quantify the impacts of research and development on specific improvements. In the reference case of AEO2000, which projects that carbon emissions in 2010 will increase by 33 percent over 1990 levels, it is assumed that research and development continue at current levels. Reductions in these programs would likely lead EIA to increase its projections of carbon emissions, while new or expanded programs could lead EIA to lower its carbon projections. Successful development of new technologies does not guarantee market acceptance. Low prices for fossil energy and conventional technologies, unfamiliarity with the use and maintenance of new products, and uncertainties about the reliability, costs, performance, and further development of new technologies, among other factors, can work to slow technology penetration. Since some of the benefits may be long term, caution should be applied in using research and development to address short-term problems. Other initiatives include programs to encourage the deployment of new technologies, such as consultations, partnerships, and voluntary programs. These programs usually have low costs, but the benefits of past efforts are difficult to quantify and also difficult to quantify for the future. Successful programs that have contributed to the adoption of improved technologies include efficiency improvements in buildings, televisions, and computers, among others. However, results reported under many voluntary programs include efforts that would have been undertaken without the program. Therefore, there may be a tendency to overestimate the impacts of deployment programs on energy consumption and carbon emissions. In CCTI, almost $1.2 billion is requested for research, development, and deployment programs within DOE, with additional funding for EPA, the Department of Housing and Urban Development (HUD), and USDA. The energy-related programs include buildings, transportation, industry, and electricity generation initiatives, as summarized below:
Efficiency Standards Within the building technologies program, additional funding is provided to DOE to accelerate the appliance efficiency standards program in order to encourage the deployment of more energy-efficient appliances and equipment. It is proposed that new standards be developed for water heaters, distribution transformers, and commercial heating and cooling. Historically, efficiency standards have been successful in improving energy efficiency. For example, refrigerators will use less energy and create fewer carbon emissions in 2010 than in 1990 even with population growth and performance enhancements. The most recent refrigerator standards adopted in 1993 and coming into effect in 2001 are aggressive enough to take inefficient units off the market and also accelerate the introduction of new technologies. Methods of Analysis At the request of the U.S. House of Representatives Committee on Government Reform, Subcommittee on National Economic Growth, Natural Resources, and Regulatory Affairs, EIA conducted an analysis of the likely impacts of CCTI. The analysis was conducted primarily using the National Energy Modeling System (NEMS),(4) the energy-economic modeling system of domestic energy markets developed and maintained by the Office of Integrated Analysis and Forecasting within EIA. With some minor modifications and ongoing enhancements, the version of NEMS used for this analysis was that used to develop the projections published in AEO2000 in December 1999. Additional offline analysis employed a building code model and building simulation model, both developed by DOE, to evaluate the tax credits for new energy-efficient homes. For most of the energy-consuming and producing sectors of the economy, NEMS includes individual technologies, characterizing them by capital and operating costs, efficiencies, years of availability, and other relevant attributes. Therefore, NEMS can simulate the penetration of new technologies and the impacts of changes in the characteristics of technologies. For this CCTI analysis, the tax credits for energy-efficient homes and buildings equipment; rooftop solar systems; and electric, fuel cell, and hybrid vehicles were assumed to reduce the initial costs to purchasers of the applicable equipment over the years specified in the proposals. The revision to the depreciable life for distributed power property provides a tax incentive for commercial systems. The renewable generation tax credits provide an incentive for these technologies through a production tax credit. With the exception of some reduction in the costs of advanced technologies for electricity generation, the analysis did not include ancillary benefits that might accrue from cost reductions with increasing market penetration. It is recognized that cost is not the only factor in consumer decisionmaking; however, this analysis assumes that consumer behavior will remain similar to that derived from empirical evidence, because there is no basis for assuming a fundamental change in consumer behavior. Consumer behavior has worked against the adoption of more fuel-efficient technologies in the past because of the value placed on attributes other than lowering energy consumption. Future consumer behavior could shift to favor novel technologies or technologies that would benefit the climate if there were widespread acceptance of a need to improve energy efficiency or reduce greenhouse gas emissions; however, the incentives and programs in CCTI are unlikely to produce such changes, given their immediate timing and overall level of funding. The portion of CCTI that includes funds for research, development, and deployment of new technologies is more difficult to quantify. In general, a direct link has not been established between levels of funding for research and development and specific improvements in the characteristics and availability of energy technologies. Similarly, it is difficult to quantify a link between information programs and other programs for voluntary initiatives and partnerships for technology development with realized technology development and deployment. As a result, the analysis of the research and development components of CCTI uses a different approach. Many of the proposed research and development programs are addressed in qualitative terms in this analysis, discussing the current state of development of the relevant technologies and the economics of their development and deployment. For other programs the potential impacts are analyzed by assuming that certain program goals are achieved or through the impact of ongoing technology improvement in the AEO2000 reference case. EIA analyzed the buildings program for energy-efficient appliances and equipment, which includes acceleration of lighting and appliance efficiency standards and new Energy Star products, by evaluating the impacts of an accelerated standards case in AEO2000 in combination with the new Energy Star programs for televisions and video cassette recorders and the goal of the Million Solar Roofs program. The program for the development of more energy-efficient technologies for light and heavy trucks is evaluated by assuming that the program goals for advanced diesel technologies for light trucks and for a variety of fuel-saving technologies for heavy trucks will be achieved and by evaluating the economics of their penetration. In a similar fashion, the Partnership for Advancing Technology in Housing (PATH), which has a goal of improving the energy efficiency of homes, is analyzed by assuming that the goals for new housing construction will be fully realized; however, the costs of achieving those highly efficient homes are not evaluated or incorporated into the simulation of the decisionmaking process. Each of the tax incentives or other programs were addressed relative to the reference case of AEO2000, with two exceptions. The AEO2000 reference case was revised to incorporate updated information on advanced transportation technologies and landfill gas-to-energy, as discussed in Chapter 2. The reference case of AEO2000 includes continuing improvements in technology, consistent with ongoing research and development, and the impacts of voluntary programs and other initiatives to reduce energy consumption and emissions. Consistent with the requirement that EIA remain policy neutral, only current laws and regulations are incorporated in the reference case. The reference case also represents consumer preferences and price response as derived from available data. For each tax incentive or other program evaluated quantitatively, the impacts were analyzed by using the relevant sector of NEMS in a standalone mode. The results are presented in terms of energy savings and reductions in carbon emissions from the sector, relative to the reference case, along with other key indicators from the sector. Where possible, an estimate of the tax revenue losses is also provided and compared with the Administration's estimates in the budget submission. It is important to recognize that all results are presented as incremental changes to the reference case. Where CCTI encompasses ongoing research, development, and deployment programs already included in the reference case for AEO2000, the impacts of the proposed funding additions are not evaluated. It is also possible that some of the more efficient technologies included in the CCTI tax incentives would penetrate even in the absence of the incentives. The tax incentives are applied to both the units that are added incrementally as a result of the incentives and the units that would be added even in the baseline, which become unintended beneficiaries of the tax incentives. Where applicable, this analysis identifies the incremental units that are projected to be introduced as a result of the CCTI provisions. Another unintended effect of an investment tax credit is that part of the value of the credit accrues to equipment manufacturers and suppliers. Because the credit increases the demand for capital equipment, higher equilibrium prices for the equipment result. This effect could result in as much as 70 percent of the tax credit being passed on to equipment suppliers in the form of higher equipment prices.(5) If this situation were to occur, the impact of a tax credit on capital equipment additions could be quite modest. This effect has not been incorporated in the analysis. The presentation of the results focuses on the year 2010, because it is the midpoint of the first commitment period in the Kyoto Protocol, and also on 2005, because none of the tax credits extends beyond 2007. Some of the CCTI programs may have benefits in the longer term. Because of stock turnover, which can be slow, energy efficiency improvements and standards may take a long time to produce significant changes in the average stock of equipment. In addition, some of the research and development programs may have results later in, or beyond, the 2020 horizon of the analysis. The results are presented primarily in terms of energy savings and carbon reductions. Additional benefits that may occur, but are not evaluated, include improvements in air quality due to reductions in other emissions, energy security from lower energy imports, international opportunities for American companies as a result of improved technologies, and revenues from the deployment of more advanced technologies to other countries. As noted above, the PATH program is evaluated by assuming that program goals will be met, even though the resulting technologies may not be economical within the time frame of the analysis. New equipment evaluated for the analysis of energy efficiency standards may similarly be unable to penetrate consumer markets on their own. The additional costs that could be required to make the technologies competitive are not addressed. In addition, there may be other costs, such as the full private sector costs of developing and manufacturing new technologies, infrastructure costs, and social costs, that are not captured in the analysis. Uncertainties It is possible that a standalone analysis of energy efficiency policies may overstate somewhat the potential energy and carbon savings that would be seen in a fully integrated analysis of U.S. energy markets. In other words, the individual energy sector savings are not necessarily additive. As an example, some policies may encourage the development and deployment of more energy-efficient and/or less carbon-intensive technologies for electricity generation. If concurrent policies encourage energy efficiency in the end-use demand sectors and reduce the demand for electricity, however, there may be less opportunity for the generation sector to grow and invest in the new generation technologies. Therefore, evaluating the combined impacts in an integrated model may be important. In this analysis, however, the individual impacts of the CCTI programs are projected to be relatively small, and it is unlikely that an integrated evaluation would provide additional information. One of the key uncertainties in analyzing the impacts of new, more efficient technologies is consumer response--the extent to which, and how quickly, energy consumers will react to changes in energy prices or to improvements in the energy efficiency of equipment by purchasing the more efficient technologies. The EIA analysis relies on empirically-derived estimates of consumer price response and consumer preferences to evaluate technology penetration; however, models cannot predict shifts in consumer tastes or market transformations associated with rapid adoption of new technologies. The pace of technology development is also a major uncertainty. EIA relies on engineering evaluations of the availability, costs, and characteristics of new technologies assuming continuing patterns of research and development. It is acknowledged, however, that the future development paths of energy-using technologies cannot be foreseen with certainty. In addition to the uncertainties of consumer behavior and technology development, it is noted that changes in any single variable, such as world oil prices or natural gas prices, could change the specific impacts noted in this analysis. Market Barriers Although some programs in the CCTI are aimed at the basic research and development of more efficient or renewable technologies, others are focused on the diffusion and deployment of the technologies. There are a number of reasons why new technologies may be slow to penetrate, the foremost of which is cost-effectiveness. Much of the research in new energy technologies, such as photovoltaic and wind generation, is aimed at reducing their costs. The lack of penetration of technologies that do appear to be cost-effective is often termed "market failure." More recently, analysts have attempted to separate true market failure from other market barriers. Market failures may result from lack of information about the characteristics of new technologies, which may be helped through a variety of information programs. Another difficulty is exemplified by the difference between the incentives of builders and homeowners. To the extent that newer technologies may be more expensive, it may be difficult for builders or landlords to recover their additional costs from buyers or tenants who may not value energy efficiency as highly as other characteristics. Conversely, the buyer or tenant who will be paying the energy costs may not readily have the option of making equipment choices. Finally, artificially lower prices for energy, through subsidies or regulated prices for example, may hamper the penetration of technologies, because even lower technology costs would be necessary for them to appear cost-effective. Other items may be viewed as market barriers, not failures. Energy consumers may be fully aware of potential cost savings from a more efficient technology but have a preference for other characteristics of equipment they purchase. The current trend for larger, more powerful personal vehicles is a prime example, but there are many examples of characteristics for vehicles, appliances, and equipment that compete with energy efficiency. New technology also tends to have a naturally slow penetration for a variety of reasons, including uncertainty as to the reliability, performance, costs, and benefits of the new product; lack of familiarity with new techniques for installing and maintaining the equipment; uncertainty about the future availability of the next generation of the technology, which could represent a major improvement; and apprehension about the infrastructure for support and maintenance of the technology. Perceptions about the payback periods for new equipment purchases may also vary among consumers. A technology may appear cost-effective when the potential fuel cost savings are estimated over a long period of time, but many consumers appear to want a more immediate payback for their higher initial purchase costs. Also, the tendency for homeowners to move frequently works against the purchase of equipment with long payback periods. Finally, uncertainty about future fuel prices and the likely duration of occasional price spikes may discourage consumers from investing in energy-saving equipment. Market failures can be addressed by a number of programs, including those in the CCTI. Information programs, collaborative efforts for development and diffusion, research and development to improve the technologies and reduce costs, and incentives to enhance the cost-effectiveness of new technologies all may help to encourage earlier penetration of technologies. Subsequently, the initial penetration may have the additional impact of reducing costs through learning, establishing the infrastructure, and increasing familiarity with new technologies. Finally, equipment standards and other mandates, such as renewable portfolio standards, can also accelerate the market penetration of advanced technologies. No attempt was made in this analysis to evaluate the costs of such standards. |
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