Transcript (Day 2)
All right, let’s get started. Welcome to Lecture 08B, where we will finish externalities, and then hopefully move on to the Prisoner’s Dilemma.
First, just a few things on the agenda to get caught up on. Thank you so much for doing that mid-semester student evaluation. The results were extremely helpful. One of the things I liked was that almost every single person explicitly wrote that they liked the games and interactive visualizations. I was worried those were hitting flat, and so I’m glad they’re not. We’re going to continue on with them.
In terms of schedule for the upcoming lectures, just a few things to point to. I’ve updated a few things. Key thing to note is this is Assignment 2, that one’s now posted, and it is due on the 18th. As before, this one will be preparation for the micro quiz that will also be on the 18th, which will be similar but slightly different to what you see on this one. This one will take a little bit longer than last time, so don’t start this one late.
I also realized I didn’t print it off as a PDF. Right now, it’s just as a web page, but there’s workspace. I think I’ll make it also a PDF so you can do it that way.
On PDFs, I have a request from our TA, and I guess it’s a request from me too. Please do not submit multiple files to Canvas for an assignment. There were some people that were submitting a bunch of pictures, all differently rotated, and that’s surprisingly hard to grade. If you want an easy solution, you can still take those phone pictures, just paste them into Word or something like that, and upload that document instead. And if you really want to do it nice, save it as a PDF and upload that document. That will make things a lot faster and make sure you don’t accidentally miss points, because it’s hard to read upside down and out of order.
Looking ahead to the overall framing, we’re working through our micro-foundations section. We finished optimal pollution, and then we moved to micro failures, which is kind of like an extension of the micro foundations, but applied to the classic three market failures that characterize a lot of environmental economics. The fuller title for this is market failures and open access, and then externalities and commons are where we’re going next.
After that, we’re going to shift gears again. This is going to come back to what is unique about this course, is that it’s not just going to be a hodgepodge of environmental and natural resource tools lumped together, as I kind of think is traditional in this type of course, but it’s really going to come back to the question of tying them together in a global macroeconomic framework. We had a little bit of that at the beginning with the planetary donut, but then we quickly lost that when we got into the nitty-gritty of consumer utility optimization and such. But that’s all the core that we will then start to revisit as we come back to questions of environmentalism in the whole economy, how indicators like GDP and wealth play out in this. So that’s the arc.
In terms of scheduling, this is when that micro quiz is. Some of these titles will change around a little bit, but on the 23rd of February, we’re going to have a fun guest lecturer. Famara Damfa is the executive director of NATCAP Teams, our research center, and he’ll be leading us through some of his really interesting work. He’s literally a negotiator for the country of Gambia at the UNFCCC, which is the hosting convention for all those climate change negotiations that you see. He literally has to put on a suit and argue over words about what the international agreements will have written in them. We’ll have a couple of other guest lecturers later on in the semester, but this will be our first one.
[Quiz distribution section omitted]
For those who have grading concerns, remember, take it up with our TA, Ryan. He’s the one that actually did the grading, and so I won’t have many informed opinions on why you got what you got. His email is on the website, so you can email him and meet with him whenever.
But onwards to the materials at hand.
Back into externalities. We went quickly through the introduction, so I’ll do a quick review, and then we will actually try it out with some more specific applications and a brand new web app.
We’re using the example of the provision of clean water through having a wetland on your property. That has benefits to you. You like the wetland, it makes your water cleaner, but it also has benefits to people downstream from you. They get cleaner water, but they are external to the decision on whether or not you should keep that wetland, or how much of that wetland you should keep. So it’s a classic externality.
Except this one is a positive externality. Last class, we talked about negative externalities, and there, the classic example is polluting something, like sulfur dioxide. But here we’re talking about a positive externality. This wetland is providing external value, but it’s not a loss, it’s a gain.
The vertical axis is dollars. We’re going to try to express the value of this wetland in dollars. You might be wondering, how do we express the value of wetlands in dollars? We’re going to have three whole lectures on that when we talk about ecosystem service methodology. But for now, just trust me. Suppose that we can put a dollar value per unit of wetland. That’s a heroic task, but for now, just assume it.
It’s a positive consumption externality. The previous example we had was a negative one, but also it was on the producer side, and what that meant is we took the marginal cost curve and had that be where we put the externality. Now, because we’re talking about something that is benefiting a person, rather than being a cost of production, it’s the marginal benefits, or the demand curve, that we’re going to modify here.
Thus, the marginal cost curve is the easy one, it’s just going to be this. Providing wetlands has some marginal cost. Maybe that is the purchase price or the foregone sales price of those hectares of land. So it’s pretty easy to see that one.
But we’re going to have an externality defined by the fact that the marginal private benefit is going to be less than the marginal social benefit. This difference is going to be the externality, except it’s positive value instead of negative value like we had with production.
The punchline that we came to last lecture is that if you let the free market with no augmentation solve this, it would set where marginal benefit equals marginal cost. That’s what markets always do. But here, it depends on what costs are being included. If it’s the free market with no fixes, the only cost that matters to the decision maker is the private one, and so we’re going to call that Q star M, indicating it’s the market solution. This is in contrast to the fact that when you think about everybody’s benefits, not just the private ones, the actual correct utility and surplus maximizing one is the socially optimal quantity QS star. This difference between these two is under-allocation.
You should be getting that instinct that under-allocation is probably going to be able to be expressed as deadweight loss. Indeed, it can. You’ll be working with that in your problem set.
But where I want to go, and this wasn’t done when I took these classes, so maybe it’s going out on a limb, is that the three different market failures we’re talking about are actually more tightly linked than it might seem.
The particular linkage I want to talk about is how externalities, but specifically positive externalities like this, are actually quite similar to what we started with in the market failures section, which was public goods. The idea that under-provision is happening here might sound suspiciously familiar, because that was essentially the same conclusion that we had with public goods. When we had a public good, it was only provisioned according to one person’s marginal benefits, and that’s way below what it should have been.
What is that connection? They are ultimately the same basic idea. When you have a public good, such as the value of a park, whoever ends up producing that unit of park, the “sucker” who paid for buying that park and then the private company came in and built it, they are getting value that was optimal to them, but then everybody free-rides on them. Another way of expressing the exact same thing is they just did a decision that was providing a positive externality.
Public goods, maybe where they are different is public goods tend to be ones that have lots and lots of people, like millions of people all of society benefiting from it, whereas externalities, this framing is maybe more better when you’re thinking about a localized effect, like a watershed. But I think it’s kind of cool that they’re basically the same thing, and both of them have the same conclusion, that the deadweight loss by only considering private benefits and costs is a bad thing, and that some solution, which we’ll spend the rest of the course talking about, will be thinking about solutions to that. We’ll use both of these framings.
The other theme in this course is climate change. It’s just the gigantic elephant in the room. And this can be thought of in a lot of different ways, but we’re going to regard it as an externality. In this case, it’s a negative production externality, leading to massive overproduction.
But let’s now shift gears to solutions, and we’re going to outline a few of them. How can we fix this?
The first bucket would be legal solutions. The idea is, if we have good property rights, that alone will lead to fixing the externality. You may have come across Ronald Coase, winner of the Nobel Prize, and he has something called the Coase Theorem. He actually showed, with excellent mathematical rigor, that as long as there aren’t a lot of transaction costs, externalities can, and he even went so far as to say will, be fixed by just letting people negotiate.
If there was an externality, like your neighbor had a barking dog, he argued that as long as you two can negotiate, you could essentially pay the dog owner, or the dog owner would pay you to just be okay with the barking. Coase argued there could be a payment as long as there’s a good legal system.
The key thing to know here is that this is the fundamental argumentation that is under the correct and very useful conservative argument on environmental protection. I think it doesn’t always apply, and that’s where conservatives and liberals might differ, is can this actually be fixed by legal extension of property rights. That’s a debate. But if you accept the assumptions, Coase’s argument is true. If there are no costs, and people have clear lines of communication, that’s just another way of saying low costs, the free market with just better property rights can solve all of environmentalism. I think that’s an important point, because there are plenty of cases where that is the right way to look at it.
These are both essentially related to the Coase theorem, that some sort of negotiation can work. The legal system is you’re going to use the government to extract that money, using lawyers, but the Coase theorem also applies to negotiation, letting that dog owner negotiate with the person who doesn’t like that dog and offer a payment to compensate them. Those are the free market solutions.
But then there’s this whole bucket of government interventions. Actually, much more time is spent thinking about this, simply because, historically, for better or worse, most of our solutions have been government policy driven.
There’s a few different types of policy buckets that I want to talk about, and we’ll start to fill these out with examples. The first goes by the phrase Command and Control. I would love to know the etymology of this phrase, because it just sounds bad. It sounds like that’s going to be a bad idea. Whoever phrased this was probably an anti-environmental policy person, because even the environmentalists start with this, which frames government as commanding and controlling.
The example of this would be emissions standards. The government could just go ahead and say, firm, you can only produce this amount of pollution, and fine them or send them to jail if they break that law. That’s what the government can do. But we call that command and control because there is no market incentive that is used to induce this behavior. It’s just a law that the government says you have to do it.
Interestingly, we saw in our lectures that there’s still a little bit of nuance here. We spent all that time showing that a uniform standard applied to all firms would not be as good as if we had one that was differentiated for different firms according to their marginal cost of abatement. So there actually is a fair amount of nuance there.
But in subsequent lectures, we’ll start to move towards market-based solutions. This is still a government intervention, insofar as the government is going to set up the market-based solution, but the underlying mechanisms are not just you have to follow the law, but something about incentives and markets and prices that is going to drive that behavior.
An example for now is Cap and Trade, which is just a policy that says we’re going to pass a law that says you can only emit pollution if you have a permit to emit it, and we’re going to cap the total number of permits. But the flexibility is going to come in, and we’re going to say you different firms can trade them. We’ll spend a whole lecture on this, talking about how if you set it up that way and let the firms trade, you will both achieve your emissions target and do it in a cost-minimizing way. And this is very important, because the costs are huge.
But the one we’ll talk about today is Pigouvian taxation. This is one that is really central in a lot of the discussions of what government policy actually should be done. It’s considered by many economists to be probably the best answer to the climate challenges that we face, in the form of a per unit tax on carbon.
Here’s another point of consensus. If you ask conservative economists, there’s overwhelming agreement, both on left-leaning and right-leaning economists, that a carbon tax would be a very good way of solving this, or at least that it would be way, way, way better than what we’re actually doing.
Even if you don’t think climate change is a problem, you still might want to take a look at the argumentation from conservative economists that a carbon tax would actually just be better for everybody, especially if you did it in the context of replacing other taxes. You can actually be a pro-tax cut advocate and still be in favor of the carbon tax, because you fix the externality but can use it to eliminate other taxes. The revenue generated from it means you don’t have to tax people so much. This is called revenue-neutral taxation.
Either way, I just want to point out that there’s huge consensus on this point, that it would be way more cost-effective to reach whatever climate goal we have than our current mismatch of policies and emissions targets.
So what is a Pigouvian tax? It’s just a corrective tax designed to induce the private decision makers to take into account the things that they would otherwise ignore. Thinking over here, we’re saying my marginal private benefits is the only thing the private agent considers when they’re choosing their market quantity to produce. A Pigouvian tax is just a corrective tax that says, well, this difference in value, if we say that’s the tax rate for each unit, and this person can’t get away from paying it, we literally just change their benefit or cost curve appropriately.
This is named after Arthur Pigou. The idea is really straightforward. We call it a tax when it’s something that is on a negative externality. That just means that we’re taking money from the individual and giving it to the government, but the concept is identical, except for a positive or negative sign, to what we call subsidies. Subsidies and taxes are basically the same thing, it’s just going to be a flow of value from the government to the individual. That’s actually what we had here. We’re going to subsidize, pay the owner who has these wetlands some amount of money, and hope that changes their behavior, and we find out it does. It makes them want to produce more.
Let’s explore those interactively. I’ve got another web app for us to play with. A good methodological way for you to approach it is to have your graph on your screen mimic what I’m doing on the board. But I still want to write it down on the board, even though we’ve got a nice visualization, so we can talk through the process.
We’re going to have a negative production externality. I’ll try to roughly match the lines, but what’s nice about the web app is the lines are exactly right, because I didn’t draw the line, I just defined the function. We’re going to have our marginal cost curve, but the private marginal cost. I realize I made a mistake. I called it PMC on the screen. Just know that that’s the same as what I called over here the marginal private cost.
It’s a production negative externality, meaning that the private costs are less than the marginal social costs. And then we also need to have our demand curve, for whatever it is that they are producing. Because it could be cars or electricity, it’s still something that provides value, and so we can’t just say don’t do it.
But the idea would be if we didn’t have any corrective to this situation, we can calculate the deadweight loss. At the end of this lecture, we’ll be doing this more algebraically, but basically the key steps are to identify the two equilibria, figure out which one’s the social one, and see what the surplus triangles would look like.
We can see that a surplus value is anywhere where the actual benefit is above the actual cost. This is all benefit. This part does not benefit, because that’s only with respect to the one person. This is the true one. This is the positive benefit.
But if we go out to the market solution, what do we have? We have the opposite. The cost is greater than the benefit. This would all be negative value, and so you’d calculate the total surplus by looking at this triangle, and you have to get the area of this triangle, because you’re going to subtract it from there, but graphically we could see it would offset some of that. And this is the deadweight loss. That’s what we want to get rid of.
It’s sort of an easy question, but what’s the deadweight loss here? We basically just went down until we eliminated all that negative value, and this point is better than this point, simply because it doesn’t have any of this negative. So how do we set a tax that gets rid of that?
Interactively, on the web app, you can wiggle around the line for the size of the tax. I’ve captured a few screenshots here. If you started to increase the tax a little bit, what do you see? A new equilibrium is going to happen. And if the tax is a little bit of an increase, like level 8, it’s going to start to reduce the quantity. But it didn’t go far enough, and so the deadweight loss triangle has gotten smaller but it’s still there. This is just reflecting the fact that we’ve only made it part of the way to the optimal solution.
What if we really loved our environment and set it to a tax of 42? I would say you don’t really love the environment. You’re probably going to make people angry, and they’ll probably rebel against your environmental policy, so you may be shooting yourself in the foot. Here, if we had a tax of 42, what do we see? It’s going to push the actual cost curve to be above the marginal social cost, and now we’re going to have a new type of deadweight loss. We just taxed it so much that we really hurt people, and now we’re underproducing compared to what would be optimal.
If you’re a total environmentalist who believes in only pristine environments, you might still negotiate for this one. There’s debate on this. I would say you still wouldn’t. Unless you think the framework is flawed, you’re basically saying let’s hurt some people in order to improve the environment because I really want it. And that could be construed as selfish.
Regardless, we can see it’s too high simply from our welfare economics perspective, that we’ve got more deadweight loss. The optimal tax is 25. With these demonstrations, the web app will report out various values, like the deadweight loss, the tax revenue, and the other things you can do would be to figure out what is the producer surplus, consumer surplus, and what is the amount of revenue being generated by this.
The Pigouvian tax is going to shift the MPC curve around, and the correct Pigouvian tax is just one such that T added to the MPC equals MSC. The ideal one literally makes it so that it is equal to the marginal social cost.
We’ll talk in upcoming lectures about carbon taxing, and we’ll actually run models to calculate what is the optimal carbon tax, given the literal complexity of the climate system. But there’s all sorts of other Pigouvian taxes out there. The gas tax is a really good example of a Pigouvian tax.
The thinking there is that it’s actually a pretty significant tax, but it represents the fact that the purchase and consumption of gasoline has an external cost, and it’s more than just climate. Pollution from burning fossil fuels produces greenhouse gases, and so it has this external impact in terms of more climate change and more climate damages.
But actually, and I know this because my wife has been a government worker on things related to transit and transportation, that’s really not what they talk about. What they talk about is the cost, the external cost of accidents and primarily congestion.
This is just reflecting the fact that even at the scale of Hennepin County, where she works, the size of the climate impacts that their action is attributable to is very small, because it is divided by everybody in the world. But the external costs of having congested highways is really easy to observe.
The congestion, the fact that the more you drive, the more you will clog up the highways, has a cost to you that it’s congested. We hate traffic, but it also is increasing the hatred of traffic that other people have. Every person, unless there’s some sort of fix to the congestion, will be over-driving, driving too much, because although they hate the traffic, most of that cost is being felt by the other people rather than them. And so we get this situation where everybody overdrives. A way to fix that is a gas tax.
Here are some estimates. These are old estimates, but I think they’re roughly the same, from Perry and Small. In 2000 dollars, correcting for inflation, congestion was causing 32 cents per gallon of damages, accidents 27 cents, and pollution only 24 cents. And actually, the pollution is both climate change pollution but also local smog and haze. I’ve got links to the articles if you’d like to dive into them.
That’s an interesting finding, that there’s lots of reasons to want to not drive a car, and it’s not just climate change.
I love my bike, and it’s an e-bike, so it’s literally as fast as these cars, so I feel like I’m hacking at life or something. The best is on the State Fair days. The State Fair site is just right over there, and I was driving up Raymond to get to here once, and it was a parking lot for about 2 miles, and it took me 55 minutes to make it to work. The next year, and every year after, I have my favorite day biking of the year, which is me cruising at 26 miles per hour, the speed limit essentially, alongside all of these cars who are averaging half a mile per hour.
This continues to make news. In 2018, there was controversy when the gas tax was increased. A lot of Republicans really disliked this, but it did raise a ton of revenue, and a lot of it was able to go towards improved infrastructure. That’s the other side of this equation, which is the Pigouvian tax not only has the value of closing the externality and providing more total surplus by getting rid of the deadweight loss, but that’s ignoring a potential whole other benefit, which is what did you do with the tax revenue?
The presumption of surplus here is just that a dollar of tax revenue is the exact same relative value of importance as a dollar of consumer or producer surplus, but evidence shows that that’s not the case. It’s often true that the revenue generated by the tax, if it’s spent on something like improving infrastructure or subsidizing e-bikes, can have a greater return than just what it would have been if it was consumer or producer surplus.
That’s Pigouvian taxation. Super straightforward, but it’s so dominant in solving problems that it’s worth a full-on treatment.
There’s a mathematical appendix. I’m not going to have a question on this on the exams. This is basically going to be our supply and demand setup, but given more flexible functional forms with coefficients, where we’re going to have the marginal social cost as the summation of those two, and actually have different slopes, so it gets even more complicated. You can refer to it or not. There’s a lot of peer pressure among environmental econ professors to still teach this stuff. But the point is, there is the mathematics that can say this is not just graphic. We have literal mathematical functions for marginal benefits, private costs, and social costs. And we can solve algebraically for the different equilibrium price and quantity, and this indicates the cool feature of econ, that it’s not just a decision-making framework in loosey-goosey terms, you can actually calculate optimized things, at least optimized if you got your assumptions right and your equations were right.
What I want to pivot to is the other slides. We are now moving to Commons and Prisoner’s Dilemma. We are going to move into our third of the three common market failures, which is that of the commons.
The Commons itself is an ancient term. It actually goes all the way back to feudal times. The king would have land, some of which would be owned by individual families and peasants. They would also have the commons, and the commons was typically a forest. But it was land held in common that the king would let people go and access to hunt. Hunting was a common form of providing food for your family.
In the history of economic thought, the peasants would often spend time doing a production activity that they give to the king, essentially, and then get their well-being from going on the commons and hunting for their actual day-to-day consumption goods. Not all kings were that bad. Maybe they would only take a portion of the tax, but that idea of Robin Hood, the king overtaxing everybody, that’s the example. And the commons was actually the solution for a lot of peasants in this situation. That’s what the Commons is, an area where the king, or whoever, says that anybody can go here and do what you want. In that case, hunting was something that people did.
The Commons, though, is hard to understand without a new set of tools. So far, we’ve just been using supply and demand, essentially, but the decisions for how optimal behavior will be computed in a commons doesn’t work so well with supply and demand. The new set of tools that we’re going to use here fall under the category of game theory.
This is John Nash, and he is a singular genius, one of the most important single figures in economics. He identified what we will call Nash Equilibria, which is a really powerful predictive mathematical result that can be used in situations like commons to make a prediction on how people will operate. Here’s a much more attractive John Nash when he was much younger, looking at numbers, from the movie A Beautiful Mind with Russell Crowe.
Game theory is what we’re going to learn. We’re just going to introduce the concept today of what’s called the payoff matrix, and we’ll use those next class.
The payoff matrix is going to define a few things. It’s going to show, first off, players. Players could be anything. It could be me and you, or it could be companies like Airbus and Boeing.
Then strategies. For each player, we define two, or potentially more, different strategies that they could play. In this case, we’re going to be playing a price-cutting game, where Boeing or Airbus will decide, should I cut my prices or keep them the same?
And finally, the payoffs. This is going to be a set of pairwise numbers indicating if the two players play this combination of strategies, what is the payoff to each of the different firms?
Let’s draw one. The two things are the players and their strategies. In this particular case, we’re going to be building to the prisoner’s dilemma. The prisoner’s dilemma is going to be called that because the choice of Player A is to confess or stay silent on whether or not the other player, who is their co-conspirator in an alleged crime, committed the crime as well.
This is the most famous game theory example and lies at the core of many sustainability challenges. The original formulation was just this. You had two prisoners, Player A and Player B. They’ve been charged with a crime. Police will put them in separate rooms, and we know from crime dramas on TV this is actually a good idea when you’re trying to negotiate with criminals, so they can’t talk to each other. Then they’re going to negotiate with them to try to get a confession. A confession is saying, yes, we did it.
As you probably also know from crime dramas, they will often try to lure one of the criminals in their individual room into admitting they committed the crime by offering a reduced sentence. The payout in this case is number of years of prison.
So we’ve got the first two elements of game theory: players, strategies (confess or not), and then the final one is what are the payoffs. I’m not going to talk about why the numbers are what they are. Next class, we’ll put some intuition to them, because the actual values will totally change the dynamics of the game. I just want to show the approach.
The payoffs are going to be two numbers, like 10 and 5. This is going to be the payoff to Player A, and Player B. We’ll have specific values. In this example, we’ll have a 3 and a 3. This 3 is closer to Player B, so that’s what they get if Player B confesses and Player A confesses. But we’re going to have a bunch of other values in the rest of the payoff matrix.
That’s where I’m going to leave it, because we’re at time. We’re going to return to this and show where, number one, game theory gives us some really strong, powerful, predictive tools about what, in this example, Airbus and Boeing would do if we got the model right. And then we’re going to apply it to the environmental context of the commons dilemma.
We are good. Thank you, and have a good day.