globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2385
论文题名:
Effectiveness of US state policies in reducing CO2 emissions from power plants
作者: Don Grant
刊名: Nature Climate Change
ISSN: 1758-1172X
EISSN: 1758-7292
出版年: 2014-09-21
卷: Volume:4, 页码:Pages:977;982 (2014)
语种: 英语
英文关键词: Climate-change policy ; Climate-change mitigation ; Sociology
英文摘要:

President Obama’s landmark initiative to reduce the CO2 emissions of existing power plants, the nation’s largest source of greenhouse gas (GHG) pollutants, depends heavily on states and their ability to devise policies that meet the goals set by the Environmental Protection Agency (EPA). Under the EPA’s proposed Clean Power Plan, states will be responsible for cutting power plants’ carbon pollution 30% from 2005 levels by 2030. States have already adopted several policies to reduce the electricity sector’s climate impact. Some of these policies focus on reducing power plants’ CO2 emissions, and others address this outcome in a more roundabout fashion by encouraging energy efficiency and renewable energy1. However, it remains unclear which, if any, of these direct and indirect strategies actually mitigate plants’ emissions because scholars have yet to test their effects using plant-level emission data. Here we use a newly released data source to determine whether states’ policies significantly shape individual power plants’ CO2 emissions. Findings reveal that certain types of direct strategy (emission caps and GHG targets) and indirect ones (public benefit funds and electric decoupling) lower plants’ emissions and thus are viable building blocks of a federal climate regime.

The EPA’s state-based plan for regulating power plants’ CO2 emissions is founded on section 111(d) of the Clean Air Act, which requires the EPA to set performance standards for stationary sources of pollution, including power plants, but also directs it to work with states in developing policies to help polluters meet those standards. Given that the EPA has previously used this section to set limits on the level of nitrogen oxides and sulphur dioxide emitted by power plants, many believe that the EPA will have ample authority to establish and require states to implement the type of level-based system for regulating carbon pollution described in its Clean Power Plan2, 3. What seems less certain is whether states have the capacity to significantly decrease power plants’ carbon pollution.

Over the past two decades, states have created several policies that, in principle, could cut power plants’ level of CO2 emissions. These policies range from those such as GHG targets that were primarily motivated to combat emissions to other programs such as renewable portfolio standards that were created for other reasons but, because they try to alter how energy sources are used or managed, have implications for plants’ climate-disrupting pollution4, 5, 6, 7. For want of a better term, we refer to the latter programs as energy policies with climate implications. Scholars disagree, though, over whether these state initiatives are capable of reducing carbon emissions. Some argue that climate-focused policies and energy policies with climate implications can both be effective8. Others contend that only climate-focused policies can work9. Still others claim that both types are too constitutionally constrained or institutionally weak to have a significant impact10. Researchers have analysed the conditions under which states adopt climate-focused policies and energy policies with climate implications11, 12, 13, 14, 15, their financial costs and benefits16, their implications for the development of low-carbon energy technologies17, 18, their impact on the share of renewable energy electrification19, and their simulated effects on future CO2 emissions20. However, they have rarely assessed the effects that states’ policies have had on emission outcomes. On the few occasions they have8, 21, scholars have investigated the effects of policies on the aggregate CO2 emissions of states’ electricity sectors.

Consequently, researchers stop short of examining whether states’ policies reduce carbon emissions at the actual sites where electricity is produced and carbon dioxide is released—power plants. This despite other studies showing that within an industrial sector, some facilities pollute much more than others and organizational traits can affect emissions22, 23. Studies that focus on state-level outcomes, therefore, ignore variation in power plants’ emissions. They also fail to address the possibility that the observed effects of states’ policies may be explained by features of plants themselves such as their size, primary fuel, pollution control equipment, dispatch systems, and whether they are publicly or privately owned24. In addition to these internal characteristics of plants, there may be external factors or attributes of plants’ states and regions that determine the adoption of policies and thus could explain their effects. The association between emission outcomes and states’ policies may be due, for example, to the fact that some policies are easier to pass in states where the coal, oil and gas industries are weak, the Democratic party exercises more control, the potential for renewable energy is high, energy efficiency is a fiscal priority, cleaner fossil fuels such as natural gas have become more affordable, and the regional demand for electricity is growing12, 25. Until research determines the net effects of states’ policies, it will be difficult for environmental officials to know which state policies produce effective and generalizable results.

Scholars have been slow to identify which state policies reduce CO2 emissions at the level of power plants because systematic, plant-specific data on CO2 emissions have largely been unavailable. Recently, though, the EPA began requiring power plants to submit information on their carbon pollution under its Greenhouse Gas Reporting Program (GHGRP). Using these data and other information on power plants and state/region characteristics, we conduct the first analysis of the effects of states’ climate-focused policies and energy policies with climate implications. To determine how states’ policies fared around the time of the recent recession, we use a lagged dependent-variable model that examines plants’ emissions in the year 2010, controlling for their emissions in 2005.

Table 1 lists the policies to be tested, the states that have adopted them, and how long they have been in place (as of 2010). This list approximates the range of measures that states have used to address power plants’ carbon emissions. The first set of policies, which are explicitly climate-focused, include emission caps (carbon dioxide performance standards designed to reduce CO2 emissions), GHG targets (goals for reducing GHG emissions to a certain level by a certain date), climate action plan (comprehensive strategies for reducing a state’s CO2 emissions), and GHG registry/reporting (systems that require plants to register and record their emissions and emissions reductions).

Table 1: States’ years of experience with climate-focused policies and energy policies with climate implications (as of 2010).

We constructed a data set that includes indicators of US fossil-fuel electric power generation facilities’ CO2 emissions in 2010 (NAICS code 221112) as well as other relevant factors. Although our sample (N = 1,129) contains about a third of all power plants in the United States in 2010 (N = 3,406), this is largely because the GHGRP data on emissions primarily include plants that met the EPA’s criterion of a ‘major source’ polluter (emits 25,000 metric tons or more CO2 equivalent in a year) and were required to submit emissions reports (N = 1,426). Of these plants, 297 were excluded from our analysis because information on their internal characteristics (for example, type of ownership) and/or 2005 emissions were unavailable. Importantly, the 1,129 plants examined here, by themselves, account for 90.1% of all carbon dioxide emitted by the electricity sector.

Our measure of emission level (total pounds of emitted carbon dioxide in 2010) is transformed using a logarithmic function to account for the skewed distribution of emissions across plants. Our indicators of states’ climate-focused policies and energy policies with climate implications come from the Pew Center on Global Climate Change and the Database of State Incentives for Renewables and Efficiency. As the amount of experience a state has with a policy may affect its success, we tested the effects of each of these policies using a set of dichotomous variables—one indicating whether a particular state policy had been implemented for five years or more as of 2010 (1 = yes) and another indicating whether a policy had been in place for 1 to 4 years (1 = yes). (We coded states that adopted a policy in 2010 as having one year of experience, adoption in 2009 as having 2 years of experience and so forth.) The comparison group consisted of plants whose states had never adopted the policy as of 2010 (0 = never).

Using data collected by the US Energy Information Administration (EIA), we also tested the effects of plants’ characteristics, namely whether coal is their primary fuel (1 = yes), their size (nameplate capacity), the year they were founded, whether they use equipment to control other pollutants (nitrogen oxides; 1 = yes), whether they fall into a balancing authority area governed by an ISO or are part of a RTO that facilitates more efficient power flows and transactions (1 = yes), and whether they are a public utility (1 = yes). With respect to pollution control equipment, we examined devices for pollutants other than nitrous oxide but found that they had no effect on CO2 emissions. Also, we did not control for a plant’s electrical output because it was highly correlated with other predictors in our models (size and previous pollution) and our purpose here is to analyse levels rather than rates of emission. Using data from the US Statistical Abstracts, the US Department of Energy’s National Renewable Energy Laboratory, the American Council for an Energy-Efficient Economy, and the US EIA, we assessed the effects of the following attributes of a plant’s state and region: coal industry influence (coal employment per 1,000 residents), oil and gas industry influence (oil and gas workers per 1,000 residents), Democratic control (1 = Democratic governor and Democratic majority in both legislatures), percentage of state expenditures on energy efficiency, technical potential for renewable energy, change in natural gas prices between 2005 and 2010, change in a census region’s net electric output between 2005 and 2010 (a proxy for increases in electricity demand that might drive up emissions) and the number of other tested policies (that is, the total of climate-focused and climate-implication policies in a state without the specific policy being examined).

To analyse changes in plants’ emissions over time, we used lagged values of (logged) emission levels for 2005, which were derived by aggregating data on the emissions of multiple generators for that year (compiled by the US EIA) up to the plant level. We report findings here using a lagged dependent-variable model30. The effects of states’ policies generated by this model are essentially the same as those produced by a change score specification (Supplementary Note and Tables). We also used a single cross-section of 2010 data rather than continuous panels because the GHGRP data were available only for 2010 at the time this study was conducted and several of our predictors were measured only in that year.

In conducting ordinary least-squares regression analyses of the determinants of power plants’ CO2 emissions, we effectively control for the average differences across parent companies in any observable or unobservable predictors by including dummies for each parent company in our models. In doing so, we also account for the fact that there is not the same number of plants in each company. Finally, we conducted robustness checks, the results of which indicated that our standard error estimators were not biased by heteroskedasticity.

  1. Carley, S. The era of state energy policy innovation: A review of policy instruments. Rev. Policy Res. 28, 265294 (2011).
  2. Dunlap, R. & McCright, A. in The Oxford Handbook of Climate Change and Society (eds Dryzek, J., Norgaard, R. & Schlosberg, D.) 144160 (Oxford Univ. Press, 2011).
  3. Environmental Defense Fund, The Legal Foundation for Strong, Flexible and Cost-Effective Carbon Pollution Standards for Existing Power Plants (Environmental Defense Fund, 2013) http://www.edf.org/sites/default/files/111-clean_air_act-strong_flexible_cost-effective_carbon_pollution_standards_for_existing_power_plants.pdf
  4. Bushnell, J., Peterman, C. & Wolfram, C. Local solutions to global problems: Climate change policies and regulatory jurisdiction. Rev. Environ. Econ. Policy 2, 175193 (2008).
  5. Doremus, H. & Hanemann, M. Of babies and bathwater: Why the Clean Air Act’s cooperative federalism framework is useful for addressing global warming. Ariz. L. Rev. 50, 799834 (2008).
  6. Rabe, B. G. States on steroids: The intergovernmental odyssey of American climate policy. Rev. Policy Res. 25, 105128 (2008).
  7. Pew Center on Global Climate Change, Climate Change 101: State Action (Pew Center on Global Climate Change, 2011).
  8. Rabe, B. in Environmental Policy: New Directions for the Twenty-first Century (eds Vig, N. & Kraft, M.) 3053 (CQ Press/Sage, 2010).
  9. Michaels, R. National renewable portfolio standard: Smart policy or misguided gesture? Energy Law J. 29, 79119 (2008).
  10. Victor, D. G., House, J. C. & Joy, S. A Madisonian approach to climate policy. Science 309, 18201821 (2005).
  11. Lutsey, N. & Sperling, D. America’s bottom-up climate change mitigation strategy. Energy Policy 36, 673685 (2008).
  12. Lyon, T. P. & Yin, H. T. Why do states adopt renewable portfolio standards? An empirical investigation. Energy J. 31, 133157 (2010).
  13. Jenner, S., Chan, G., Frankenberger, R. & Gabel, M. What drives states to support renewable energy? Energy J. 33, 112 (2012).
  14. Matisoff, D. The adoption of
URL: http://www.nature.com/nclimate/journal/v4/n11/full/nclimate2385.html
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/4998
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

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Don Grant. Effectiveness of US state policies in reducing CO2 emissions from power plants[J]. Nature Climate Change,2014-09-21,Volume:4:Pages:977;982 (2014).
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