Tag Archives: Price mechanism

Relieving the U.S. Public Toilet Shortage: User Fees

12 Wednesday Dec 2018

Posted by in Price Mechanism, Social Costs

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The musical comedy Urinetown opened in 2001 and ran for 965 performances, not a bad run by Broadway standards. The show, which is still performed in theaters around the country, is a melodramatic farce: a town tries to deal with a water shortage by mandating that all townspeople use pay toilets controlled by a malevolent private utility. Despite the play’s premise, pay toilets are a solution to the very real problem of finding decent facilities, or any facility, in which to relieve oneself in public places. Anyone who has ever strolled the streets of a city has encountered this problem from time-to-time. But in the U.S., where local budgets are typically strapped, the choice is often between scarce and decrepit free toilets or no toilets at all. Otherwise, those seeking relief must rely on the kindness business owners or pass laws allowing non-patrons to commandeer businesses’ bathrooms at will. Toilets with user fees, however, are an alternative that should get more emphasis.

In part, the theme of Urinetown reflects a longstanding notion among anti-capitalists that pay toilets are a disgustingly unfair solution to these urgent needs. One can imagine the logic: everyone has a need and a right to make waste, so we should all have access to sparkling public toilets for free! There is also the presumed misogyny of charging at stalls but not urinals (which are cheaper to maintain, after all), but overcoming that problem should not present a great technical hurdle. And surely pay toilets could be made to accept EBT cards, or locally-issued pee-for-free cards for the homeless.

Yes, we all make waste. However, most of us are so modest and fastidious that we quite literally “internalize the externality” we’d otherwise impose on others were we to seek relief in the street or behind trees in the park. We hold it and sometimes incur high costs in search of a restroom. Those are costs many of us would willingly pay to avoid.

As Alex Tabarrok says in “Legalize Pay Toilets“, outrage over pay toilets, very much like the kind expressed in Urinetown, is what led to outright bans on pay toilets in America during the 1970s (also see Sophie House’s discussion of the need for pay toilets at Citylab). According to Tabarrok, “In 1970 there were some 50,000 pay toilets in America and by 1980 there were almost none.” Many travelers know, however, that pay toilets are fairly commonplace in Europe.

In the wake of pay-toilet bans in America, and without the flow of revenue, those one-time pay toilets were not well-maintained nor replaced. In that sense, hostility to the concept of pay toilets is responsible for the paucity and abysmal condition of most public restrooms today. Public restrooms are often plagued by a tragedy of the commons. And when you do see a “free” public restroom in relatively good condition (in an airport, on a turnpike, or elsewhere), it is usually because its costs are cross-subsidized by payments for other goods and services offered in those facilities. It’s not as if you don’t pay for the bathrooms.

There is no question of a willingness to pay, but legal obstacles to pay toilets remain. Pay toilets are still very uncommon. New York City actually decriminalized public urination a few years ago, an odd way to deal with the shortage of restrooms. Some cities, such as Philadelphia, have initiated efforts to bring back pay toilets, but they have made little headway. Just last year, the toilet paper producer Charmin ran a successful publicity campaign in New York City by testing a mobile toilet-sharing service (à la Uber ride-sharing) called Charmin Van-GO. The company described the test as a big success in terms of publicity, but apparently the service has not been offered on a continuing basis.

The economic problem posed by full bladders and bowels on the public square can be solved with relative efficiency using the price mechanism: pay toilets. The flow of revenue can defray the costs of restrooms and their maintenance, easing the strain on public budgets and covering the cost of keeping them clean. Pay toilets can be provided publicly or built and operated by private providers. Pricing the use of toilets, whether offered publicly or privately, helps focus resources at the point of need. Free public toilets, in contrast, are scarce and typically unsanitary. Funding public restrooms through taxation, rather than user fees, involves a loss of efficiency because taxpayers are often distinct from actual users. Forcing purveyors of food and drink (or anything of value) to offer bathroom access to “free riders” creates another obvious source of inefficiency. Allowing the use of EBT cards at pay toilets, while overcoming certain objections, would also involve inefficiencies, but at least they’d be limited to subsidies for a small proportion of the bathroom-going public. Given the alternatives under the status quo, our cities would be far more pleasant if they were flush with pay toilets.

Central Planning Fails to Scale, Unlike Spontaneous Order

05 Tuesday Jun 2018

Posted by in Central Planning, Markets, Price Controls

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The proposition that mankind is capable of creating a successful “planned” society is at least as old as the Bronze Age. Of course it’s been tried. The effort necessarily involves a realignment of the economic and political landscape and always requires a high degree of coercion. But putting that aside, such planning can never be successful relative to spontaneous order of the kind that dominates private affairs in a free society. The task of advancing human well-being given available resources has never been achieved under central planning. It always fails miserably in this regard, and it always will fail to match the success of decentralized decision-making and private markets.

There are various ways to explain this fact, but I recently came across an interesting take on the subject having to do with the notion of scalability. Francis Turner offers this note on the topic at the Liberty.me blog. To begin, he gives a lengthy quote from a software developer who relates the problems of social and economic planning to the complexity of managing a network. On the topic of scale, the developer notes that the number of relationships in a network increases with the square of the number of its “nodes”, or members:

“2 nodes have 1 potential relationship. 4 nodes (twice as many) has 6 potential relationships (6 times as many). 8 nodes (twice again) has 28 potential relationships. 100 nodes => [4,950] relationships; 1,000 nodes => 499,500 relationships—nearly half a million.“

Actually, the formula for the number of potential relationships or connections in a network is n*(n-1)/2, where n is the number of network nodes. The developer Turner  quotes discusses this in the context of two competing network management structures: client-server and peer-to-peer. Under the former, the network is managed centrally by a server, which communicates with all nodes, makes various decisions, and routes communications traffic between nodes. In a peer-to-peer network, the work of network management is distributed — each computer manages its own relationships. The developer says, at first, “the idea of hooking together thousands of computers was science fiction.” But as larger networks were built-out in the 1990s, the client-server framework was more or less rejected by the industry because it required such massive resources to manage large networks. In fact, as new nodes are added to a peer-to-peer network, its capacity to manage itself actually increases! In other words, client-server networks are not as scalable as peer-to-peer networks:

“Even if it were perfectly designed and never broke down, there was some number of nodes that would crash the server. It was mathematically unavoidable. You HAVE TO distribute the management as close as possible to the nodes, or the system fails.

… in an instant, I realized that the same is true of governments. … And suddenly my coworker’s small government rantings weren’t crazy…”

This developer’s epiphany captures a few truths about the relative efficacy of decentralized decision-making. It’s not just for computer networks! But in fact, when it comes to network management, the task is comparatively simple: meet the computing and communication needs of users. A central server faces dynamic capacity demands and the need to route changing flows of traffic between nodes. Software requirements change as well, which may necessitate discrete alterations in capacity and rules from time-to-time.

But consider the management of a network of individual economic units. Let’s start with individuals who produce something… like widgets. There are likely to be real economies achieved when a few individual widgeteers band together to produce as a team. Some specialization into different functions can take place, like purchasing materials, fabrication, and distribution. Perhaps administrative tasks can be centralized for greater efficiency. Economies of scale may dictate an even larger organization, and at some point the firm might find additional economies in producing widget-complementary products and services. But eventually, if the decision-making is centralized and hierarchical, the sheer weight of organizational complexity will begin to take a toll, driving up costs and/or diminishing the firm’s ability to deal with changes in technology or the market environment. In other words, centralized control becomes difficult to scale in an efficient way, and there may be some “optimal” size for a firm beyond which it struggles.

Now consider individual consumers, each of whom faces an income constraint and has a set of tastes spanning innumerable goods. These tastes vary across time scales like hour-of-day, day-of-week, seasons, life-stage, and technology cycles. The volume of information is even more daunting when you consider that preferences vary across possible price vectors and potential income levels as well.

Can the interactions between all of these consumer and producer “nodes” be coordinated by a central economic authority so as to optimize their well-being dynamically, subject to resource constraints? As we’ve seen, the job requires massive amounts of information and a crushing number of continually evolving decisions. It is really impossible for any central authority or computer to “know” all of the information needed. Secondly, to the software developer’s point, the number of potential relationships increases with the square of the number of consumers and producers, as does the required volume of information and number of decisions. The scalability problem should be obvious.

This kind of planning is a task with which no central authority can keep up. Will the central authority always get milk, eggs and produce to the store when people need it, at a price they are willing to pay, and with minimal spoilage? Will fuel be available such that a light always turns on whenever they flip the switch? Will adequate supplies of medicines always be available for the sick? Will the central authority be able to guarantee a range of good-quality clothing from which to choose?

There has never been a central authority that successfully performed the job just described. Yet that job gets done every day in free, capitalistic societies, and we tend to take it for granted. The massive process of information transmission and coordination takes place spontaneously with spectacularly good results via private discovery and decision-making, secure property rights, markets, and a functioning price mechanism. Individual economic units are endowed with decision-making power and the authority to manage their own relationships. And the spontaneous order that takes shape remains effective even as networks of economic units expand. In other words, markets are highly scalable at solving the eternal problem of allocating scarce resources.

But thus far I’ve set up something of a straw man by presuming that the central authority must monitor all individual economic units to know and translate their demands and supplies of goods into the ongoing, myriad decisions about production, distribution and consumption. Suppose the central authority takes a less ambitious approach. For example, it might attempt to enforce a set of prices that its experts believe to be fair to both consumers and producers. This is a much simpler task of central management. What could go wrong?

These prices will be wrong immediately, to one degree or another, without tailoring them to detailed knowledge of the individual tastes, preferences, talents, productivities, price sensitivities, and resource endowments of individual economic units. It would be sheer luck to hit on the correct prices at the start, but even then they would not be correct for long. Conditions change continuously, and the new information is simply not available to the central authority. Various shortages and surpluses will appear without the corrective mechanism usually provided by markets. Queues will form here and inventories will accumulate there without any self-correcting mechanism. Consumers will be angry, producers will quit, goods will rot, and stocks of physical capital will sit idle and go to waste.

Other forms of planning attempt to set quantities of goods produced and are subject to errors similar to those arising from price controls. Even worse is an attempt to plan both price and quantity. Perhaps more subtle is the case of industrial policy, in which planners attempt to encourage the development of certain industries and discourage activity in those deemed “undesirable”. While often borne out of good intentions, these planners do not know enough about the future of technology, resource supplies, and consumer preferences to arrogate these kinds of decisions to themselves. They will invariably commit resources to inferior technologies, misjudge future conditions, and abridge the freedoms of those whose work or consumption is out-of-favor and those who are taxed to pay for the artificial incentives. To the extent that industrial policies become more pervasive, scalability will become an obstacle to the planners because they simply lack the information required to perform their jobs of steering investment wisely.

Here is Turner’s verdict on central planning:

“No central planner, or even a board of them, can accurately set prices across any nation larger than, maybe, Liechtenstein and quite likely even at the level of Liechtenstein it won’t work well. After all how can a central planner tell that Farmer X’s vegetables taste better and are less rotten than Farmer Y’s and that people therefore are prepared to pay more for a tomato from Farmer X than they are one from Farmer Y.”

I will go further than Turner: planning can only work well in small settings and only when the affected units do the planning. For example, the determination of contract terms between two parties requires planning, as does the coordination of activities within a firm. But then these plans are not really “central” and the planners are not “public”. These activities are actually parts of a larger market process. Otherwise, the paradigm of central planning is not merely unscalable, it is unworkable without negative consequences.

Finally, the notion of scalability applies broadly to governance, not merely economic planning. The following quote from Turner, for example, is a ringing endorsement for federalism:

“It is worth noting that almost all successful nations have different levels of government. You have the local town council, the state/province/county government, possibly a regional government and then finally the national one. Moreover richer countries tend to do better when they push more down to the lower levels. This is a classic way to solve a scalability problem – instead of having a single central power you devolve powers and responsibilities with some framework such that they follow the general desires of the higher levels of government but have freedom to implement their own solutions and adapt policies to local conditions.” 

Can Water Markets Drive the Nuts From California?

14 Tuesday Apr 2015

Posted by in Price Mechanism, Secondary Markets, Shortage

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Water Use CA

Leaders in California seem determined to deal with the state’s water shortage in the least effective and most intrusive ways possible. Governor Jerry Brown has ordered such “bold”, yet ultimately weak, actions as restricting urban water usage, fines on “water wasters”, and xeriscaping of public property. The plan includes additional state intrusions such as rebates for high-efficiency appliances, bans on certain types of faucets, toilets and residential lawn irrigation systems, and more rigorous monitoring of water use, which could ultimately include shower time. A $1 billion state investment in wastewater recycling and desalinization plants is also planned, and pundits advocate other huge projects such as new reservoirs. These efforts are costly, but they are also beguiling to politicians seeking the appearance of positive action.

Overlooked is a straightforward and relatively costless way to achieve effective conservation and relief from the shortage: use the price mechanism! This simple approach encourages conservation in many large and small ways that are beyond the  discernment of government planners. Obviously, it can also address the profligacy of certain agricultural uses. A market mechanism is the one sure way to find the most rational price for water, and it is sorely needed in the face of such a significant shortage.

The misallocation of water rights in California is truly staggering, as demonstrated by the graphic at the top of this post, which is from a post at Marginal Revolution (originally from Mother Jones):

“… as farmers are watering their almonds, San Diego is investing in an energy-intensive billion-dollar desalination plant which will produce water at a much higher cost than the price the farmer are paying. That is a massive and costly misallocation of water. … In short, we are spending thousands of dollars worth of water to grow hundreds of dollars worth of almonds and that is truly nuts.”

The Mises Daily blog makes the same point in an article entitled, “Drought and the Failure of Big Government in California“.

“When crops like pecans, which are native to Louisiana where it rains over fifty inches per year, are being grown in central California, we will have to ask ourselves if there is true comparative advantage at work here, or if the industry is really sitting upon a shaky foundation of government-subsidized and -allocated resources.

The rhetoric that’s coming out of the growers, of course, is that California growers are essential to the American food supply. Some will even suggest that it’s a national security issue. Without California growers, we’re told, we’ll all starve in case of foreign embargo. … But let’s not kid ourselves. North America is in approximately zero danger of having too little farmland for staple crops.” [Emphasis added.]

Last month, my post “Scarcity, Scarcity Everywhere, And Water Pricing Stinks” addressed the mispricing of water and the promise of marketable use permits for water conservation. Details may vary, but in this sort of arrangement, residential, industrial and agricultural users would receive a base assignment of water rights at a relatively low, uniform price. The base assignment can be a function of historical usage. A secondary market then allows consumers and other users to purchase additional use permits or to sell permits exceeding their own usage:

“The price of water on the secondary market will rise to the point at which users no longer perceive a benefit to marginal flows of water above cost. A higher price encourages voluntary conservation in two ways: it is a direct cash cost of use above one’s base water rights, and it is an opportunity cost of foregoing the sale of permits on water use up to the base assignment. Those best-prepared to conserve can sell excess rights to those least prepared to conserve.”

Price incentives and their power for conservation are discussed in this post at Marginal Revolution. Market pricing is the single-most effective method of fostering sustainable patterns of resource use. Increasingly scarce conditions naturally lead to higher prices, which both discourage excessive use and create incentives for investments in reuse and other efficiencies. Yet politicians are highly averse to the idea of pricing resources rationally via the market. Instead, as exemplified by Governor Brown’s restrictions, they promulgate a seemingly endless series of measures that play on “green guilt” without adequate consideration of alternatives.

A colorful example of this misguided philosophy is the low-flow toilet, as described in this post entitled “Americans Destroyed Indoor Plumbing“. Mandatory recycling presents a classic case of conflicting policy goals: another sacred cow of environmental dogma, it increases water use in California because containers must be washed before they go to the curb. And there are other conflicting environmental goals, such as an effort to protect the Delta Smelt in San Francisco Bay by diverting over 300 billion gallons of water away from the Central Valley.

Meanwhile, big government Republicans are thumping their chests over their self-described success in planning for water needs in Arizona. This consists of infrastructure projects that capture runoff and store water in underground reservoirs, which are fine as far as they go (and, if available, better than above-ground storage subject to evaporation). However, these projects involve considerable public expense, and they have not prevented the imposition of mandatory conservation requirements. It should also be mentioned that current drought conditions in Arizona are mild compared to California. The point here is that market-oriented pricing and conservation reduces the need for such costly projects and intrusions. Administered water prices are expected to rise in Arizona, and they probably should. But it’s noteworthy that the last link, a summary of what is purported to be a careful study of water pricing issues, makes no mention of trade in water use permits and market pricing. As Glenn Reynolds might say, unlike big infrastructure and intrusive regulations, market-oriented policies and efficient pricing may not entice politicians with sufficient opportunities for graft.