Cap-and-Trade: A Fly in the Ointment? Not Really

For more than two decades, environmental law and regulation was dominated by command-and-control approaches — typically either mandated pollution control technologies or inflexible discharge standards on a smokestack-by-smokestack basis.  But in the 1980s, policy makers increasingly explored market-based environmental policy instruments, mechanisms that provide economic incentives for firms and individuals to carry out cost-effective pollution control.  Cap-and-trade systems, in which emission permits or allowances can be traded among potential polluters, continue today to be at the center of this action.

Most recently, this has been in the context of deliberations regarding possible U.S. actions to reduced carbon dioxide and other greenhouse gas emissions linked with global climate change, as in HR 2454, the Waxman-Markey bill approved by the U.S. House of Representatives, as well as in proposals developing in the Senate.  (I have written a number of blog posts on this topic.  If you’re interested, please see:  “Opportunity for a Defining Moment” (February 6, 2009); “The Wonderful Politics of Cap-and-Trade:  A Closer Look at Waxman-Markey” (May 27, 2009); “Worried About International Competitiveness?  Another Look at the Waxman-Markey Cap-and-Trade Proposal” (June 18, 2009); “National Climate Change Policy:  A Quick Look Back at Waxman-Markey and the Road Ahead” (June 29, 2009).  For a more detailed account, see my Hamilton Project paper, A U.S. Cap-and-Trade System to Address Global Climate Change.)

But the transition from command-and-control regulation to market-based policy instruments has not always been easy.  Sometimes policy can outrun basic understanding, and the claims made for the cost-effectiveness of cap-and-trade systems can exceed what can be reasonably anticipated.  Among the factors that can adversely affect the performance of such systems are transaction costs.

In general, transaction costs — those costs that arise from the exchange, not the production, of goods and services — are ubiquitous in market economies.  They can arise from any exchange:  after all, parties to transactions must find one another, communicate, and exchange information.  It may be necessary to inspect and sometimes even measure goods to be transferred, draw up contracts, consult with lawyers or other experts, and transfer title.

In cap-and-trade markets, there are three potential sources of transaction costs. The first source, searching and information-collection, arises because it can take time for a potential buyer of a discharge permit to find a seller, though — for a fee — brokers can facilitate the process.  Although less obvious, a second source of transaction costs — bargaining and deciding — is potentially as important.  A firm entering into negotiations incurs real resource costs, including time and/or fees for brokerage, legal, and insurance services.  Likewise, the third source — monitoring and enforcing — can be significant, although these costs are typically borne by the responsible governmental authority and not by trading partners.

The cost savings that may be realized through cap-and-trade systems depend upon active trading.  But transaction costs are an impediment to trading, and such impediments thereby can limit savings.  So, transaction costs reduce the overall economic benefits of allowance trading, partly by absorbing resources directly and partly by suppressing exchanges that otherwise would have been mutually (indeed socially) beneficial.  But when transaction costs can be kept to a minimum, high levels of trading — and significant cost savings – are the result.

Since David Montgomery’s path-breaking work in 1972, economists have asserted that the post-trading allocation of control responsibility among sources and hence the aggregate costs of control are independent from the initial permit allocation.  This is an extremely important political property, but does this still hold in the presence of transaction costs?  This is a question I investigated in an article titled, “Transaction Costs and Tradable Permits,” which was published in the Journal of Environmental Economics and Management in 1995 (and which the publisher lists as one of the ten most cited articles in the journal’s history, going back to 1974).

The answer to this question is: “it depends.”  If incremental transaction costs are independent of the size of individual transactions, the initial allocation of permits has no effect on the post-trading allocation of control responsibility and aggregate control costs.  But if incremental transaction costs decrease with the size of individual trades, then the initial allocation will affect the post-trading outcome.

This is of great political importance, because it means that in the presence of transaction costs, the initial distribution of permits can matter not only in terms of distributional equity, but in terms of cost-effectiveness or efficiency.  This can reduce the discretion of the Congress (or other legislature or agency) to distribute allowances as they please (in order to generate a constituency of support for the program), and may thereby reduce the political attractiveness and feasibility of a cap-and-trade system.

Empirical evidence, however, indicates that transaction costs have been minimal, indeed trivial, in enacted and implemented cap-and-trade systems, including the U.S. EPA’s leaded-gasoline phasedown in the 1980s, and the well-known SO2 allowance trading system, enacted as part of the Clean Air Act amendments of 1990.

That’s good news, surely.  But nevertheless, going forward, choices between conventional, command-and-control environmental policies and market-based instruments should reflect the imperfect world in which these instruments are applied.  Such choices are not simple, because no policy panacea exists.

On the one hand, even if transaction costs prevent significant levels of trade from occurring, aggregate costs of control will most likely be less than those of a conventional command-and-control approach.  A trading system with no trading taking place will likely be less costly than a technology standard (because the trading system provides flexibility to firms regarding their chosen means of control) and no more costly than a uniform performance standard.

But the existence of transaction costs may make the choice between conventional approaches and cap-and-trade more difficult because of the ambiguities that are introduced.  With transaction costs — as with other departures from frictionless markets — greater attention is required to the details of designing specific systems.  This is the way to lessen the risk of over-selling such policy ideas and ultimately creating systems that stand the best chance of being implemented successfully.

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The Myth of the Universal Market

Communication among economists, other social scientists, natural scientists, and lawyers is far from perfect. When the topic is the environment, discourse across disciplines is both important and difficult. Economists themselves have likely contributed to some misunderstandings about how they think about the environment, perhaps through enthusiasm for market solutions, perhaps by neglecting to make explicit all of the necessary qualifications, and perhaps simply by the use of technical jargon.

So it shouldn’t come as a surprise that there are several prevalent and very striking myths about how economists think about the environment. Because of this, my colleague Don Fullerton, a professor of economics at the University of Illinois, and I posed the following question in an article in Nature:  how do economists really think about the environment? In this and several succeeding postings, I’m going to answer this question, by examining — in turn — several of the most prevalent myths.

One myth is that economists believe that the market solves all problems. Indeed, the “first theorem of welfare economics” states that private markets are perfectly efficient on their own, with no interference from government, so long as certain conditions are met. This theorem, easily proven, is exceptionally powerful, because it means that no one needs to tell producers of goods and services what to sell to which consumers. Instead, self-interested producers and self-interested consumers meet in the market place, engage in trade, and thereby achieve the greatest good for the greatest number, as if “guided by an invisible hand,” as Adam Smith wrote in 1776 in The Wealth of Nations. This notion of maximum general welfare is what economists mean by the “efficiency” of competitive markets.

Economists in business schools may be particularly fond of identifying markets where the necessary conditions are met, where many buyers and many sellers operate with very good information and very low transactions costs to trade well-defined commodities with enforced rights of ownership. These economists regularly produce studies demonstrating the efficiency of such markets (although even in this sphere, problems can obviously arise).

For other economists, especially those in public policy schools, the whole point of the first welfare theorem is very different. By clarifying the conditions under which markets are efficient, the theorem also identifies the conditions under which they are not. Private markets are perfectly efficient only if there are no public goods, no externalities, no monopoly buyers or sellers, no increasing returns to scale, no information problems, no transactions costs, no taxes, no common property, and no other distortions that come between the costs paid by buyers and the benefits received by sellers.

Those conditions are obviously very restrictive, and they are usually not all satisfied simultaneously. When a market thus “fails,” this same theorem offers us guidance on how to “round up the usual suspects.” For any particular market, the interesting questions are whether the number of sellers is sufficiently small to warrant antitrust action, whether the returns to scale are great enough to justify tolerating a single producer in a regulated market, or whether the benefits from the good are “public” in a way that might justify outright government provision of it. A public good, like the light from a light house, is one that can benefit additional users at no cost to society, or that benefits those who “free ride” without paying for it.

Environmental economists, of course, are interested in pollution and other externalities, where some consequences of producing or consuming a good or service are external to the market, that is, not considered by producers or consumers. With a negative externality, such as environmental pollution, the total social cost of production may thus exceed the value to consumers. If the market is left to itself, too many pollution-generating products get produced. There’s too much pollution, and not enough clean air, for example, to provide maximum general welfare. In this case, laissez-faire markets — because of the market failure, the externalities — are not efficient.

Similarly, natural resource economists are particularly interested in common property, or open-access resources, where anyone can extract or harvest the resource freely. In this case, no one recognizes the full cost of using the resource; extractors consider only their own direct and immediate costs, not the costs to others of increased scarcity (called “user cost” or “scarcity rent” by economists). The result, of course, is that the resource is depleted too quickly. These markets are also inefficient.

So, the market by itself demonstrably does not solve all problems. Indeed, in the environmental domain, perfectly functioning markets are the exception, rather than the rule. Governments can try to correct these market failures, for example by restricting pollutant emissions or limiting access to open-access resources. Such government interventions will not necessarily make the world better off; that is, not all public policies will pass an efficiency test. But if undertaken wisely, government interventions can improve welfare, that is, lead to greater efficiency. I will turn to such interventions in a subsequent posting.

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