The True Size of Government

Filed Under (Environmental Policy, U.S. Fiscal Policy) by Don Fullerton on Sep 25, 2009

In 2008, the federal government’s receipts were 17% of GNP, and its expenditures including transfer payments were 21.4% of GNP (implying the budget deficit was 4.4% of GNP).  If State and Local taxes and expenditures are added to those numbers, they become 30.5% and 35.2% of GNP, respectively.  For many reasons, however, government’s reach is wider than reflected in those numbers.  Government does not just spend its own tax revenue; it spends other people’s money as well.

For just one example, consider environmental regulations.  I have not seen a recent estimate of the total costs of environmental protection, so I will rely on some older numbers.  Note, however, than none of this discussion is meant to imply that the environment should not be protected!   Maybe protections should be more limited, or expanded.  The point is just that measured dollar expenditure by government does not accurately reflect its true size.

In “The Cost of Clean”, the U.S. EPA in 1990 estimated that the total private cost of required environmental protection was approximately $115 billion (in 1990 dollars) or 2.1% of GNP.  By the year 2000, they said the value could approach 2.8% of GNP.  If I assume the same rate of growth through 2008, then these private costs of environmental protection could be as high as 3.5% of GNP by 2008, a figure that would be $514.0 billion, or 21.6% of non-defense federal expenditures.

This cost of environmental protection comes mainly in the form of mandates imposed on firms.  Examples of mandates include the forced adoption of best practices pollution abatement technology or binding emission rates (e.g. limits on pollution per unit of output).  However, these mandates are just like taxes in two respects.  First, the government imposes these costs on private firms.  Second, the mandates provide “public goods” like clean air and water that we all can enjoy.

In other words, if these costs to private firms were converted into an equivalent tax program with direct government expenditures, then U.S. discretionary spending would appear to be 21.6% higher.  These expenditures do not appear explicitly in the federal budget, so they merit further study.  How do we divide our limited resources between private or public consumption, versus private or public investment?  How much of that environmental spending is in each category?  What are we getting for these outlays?  How can we measure the value of the improved environment?  Do these expenditures provide environmental benefits now, or are they investment in the future?

In order address these questions, a full “environmental budget” would need to show each cost, including the cost of complexity created by mandates.  In addition, some environmental protection programs are required by state and local governments (just like taxes).  Each of the programs has implicit transfers from one state to another, and from one income group to another (just like taxes).  Why are these programs not evaluated just like taxes?

Who Bears the Burden of Energy Policy?

Filed Under (Environmental Policy) by Don Fullerton on Sep 4, 2009

Economists have tools to analyze the distributional effects of income taxes, payroll taxes, property taxes, and corporate income taxes.  Some existing research even looks at distributional effects of environmental or energy taxes used to help control pollution or energy consumption.  Yet most pollution policy does not involve taxation at all!  Instead, we use permits or command and control regulations such as technology standards, quotas, and quantity constraints.  Existing studies of energy policy are mostly about effects on economic efficiency, addressing questions such as: how to measure the costs of reducing pollution or energy use, how to measure benefits of that pollution abatement, what is the optimal amount of protection, and what is the most cost-effective way to achieve it.

Yet environmental mandates do impose costs, and an important question is who bears those costs.  Moreover, those restrictions provide benefits of environmental protection, so who gets those benefits?  Full analysis of environmental policy could address all the same questions as in tax analysis.  Perhaps it could use the same tools to address distributional effects – not of taxes, but of these other policies that are used to protect the environment.

Thinking about the distributional effects of environmental policy is interesting and difficult.  For example, a standard tax analysis would point out some complex implications of an excise tax: not only does it affect the relative price of the taxed commodity, and thus consumers according to how they use income, but it also impacts factors intensively used in the production of that commodity, and thus individuals according to the sources of their income.  Yet an environmental mandate can have those effects and more!  Consider a simple requirement that electric generating companies cut a particular pollutant to less than some maximum quota.  This type of mandate is a common policy choice, and it has at least the following six distributional effects.

First, it raises the cost of production like a tax, so it may raise the equilibrium price of output and affect consumers according to spending on electricity.

Second, it may reduce production like a tax, reduce returns in that industry, and place burdens on workers or investors.

Third, a quota is likely to generate scarcity rents.  For simplicity, suppose pollution has a fixed relation to output, so the only “abatement technology” is to reduce output.  Then a restriction on the quantity of pollution is essentially a restriction on output.  Normally firms want to restrict output but are thwarted by antitrust policy.  Yet in this case, environmental policy requires firms to restrict output.  It allows firms to raise price, and so they make profits, or rents, from the artificial scarcity of production.  Just as tradable permit systems hand out valuable permits, the non-tradable quota also provides scarcity rents – to those given the restricted “rights” to pollute.

Fourth, if it cleans up the air, this policy provides benefits that may accrue to some individuals more than others.  The “incidence” of these costs and benefits usually refers to their distribution across groups ranked from rich to poor, but analysts and policy-makers may also be interested in the distribution of costs or benefits across groups defined by age, ethnicity, region, or between urban, rural, and suburban households.

Fifth, regardless of a neighborhood’s air quality improvement, many individuals could be greatly affected through capitalization effects, especially through land and house prices.  Suppose this pollution restriction improves air quality everywhere, but in some locations more than others.  If the policy is permanent, then anybody who owns land in the most-improved locations experience capital gains that could equal the present value of all future willingness to pay for cleaner air in that neighborhood. Similar capitalization effects provide windfall gains and losses to those who own corporate stock: capital losses on stockholdings in the company that must pay more for environmental technology, and capital gains on stockholdings in companies that sell a substitute product.

Capitalization effects are pernicious.  A large capital gain may be experienced by absentee landlords, because they can charge higher rents in future years.  Certain renters with cleaner air might be worse off, if their rent increases by more than their willingness to pay for that improvement.  Moreover, the gains may not even accrue to those who breathe the cleaner air!  If households move into the cleaner area after the policy change, then they must pay more for the privilege.  The entire capital gain goes to those who happen to own property at the time of the change, even if they sell it at the higher price and move out before the air improves.  Similarly, new stockholders in the burdened company may be “paying” for abatement technology in name only, with the entire present value of the burden felt by those who did own the stock at the time of enactment, even if they sell that stock before the policy is implemented.

Sixth, strong distributional effects are felt during the transition.  If workers are laid off by the impacted firm, their burden is not just the lower wage they might have to accept at another firm.  It includes the very sharp pain of disruption, retraining, and months or years of unemployment between jobs.  These effects are analogous to capitalization effects, if the worker has large investment in particular skills – human capital that is specific to this industry.  If the industry shrinks, those workers suffer a significant loss in the value of that human capital.  They must also move their families, acquire new training, and start back at the bottom of the firm hierarchy, with significant psychological costs.

The challenge here is that many of these effects of environmental policy are likely to be regressive.  Consider the six categories just listed.  First, it likely raises the price of products that intensively use fossil fuels, such as electricity and transportation.  Expenditures on these products make up a high fraction of low income budgets.  Second, if abatement technologies are capital-intensive, then any mandate to abate pollution likely induces firms to use new capital as a substitute for polluting inputs.  If so, then capital is in more demand relative to labor, depressing the relative wage (which may also impact low-income households).  Third, pollution permits handed out to firms bestow scarcity rents on well-off individuals who own those firms.  Fourth, low-income individuals may place more value on food and shelter than on incremental improvements in environmental quality.  If high-income individuals get the most benefit of pollution abatement, then this effect is regressive as well.  Fifth, low-income renters miss out on house price capitalization of air quality benefits.  Well-off landlords may reap those gains.  Sixth, transition effects are hard to analyze, but could well impact the economy in ways that hurt the unemployed, those already at some disadvantage relative to the rest of us.

That is a potentially incredible list of effects that might all hurt the poor more than the rich.  The challenge for those of us who want to claim to do policy-relevant research, then, is to determine whether these fears are valid, and whether anything can be done about them – other than to forego environmental improvements!