Recall last time we established that:

In this module, we are going to provide a comparative analysis about:

How does the government usually get into the business?

The most common form of governmental regulation is called command-and-control regulation:

Real world command-and-control regulation generally falls into the following categories: * Ambient Standards - Mandates the amount of pollutants in the ambient environment * Performance standards - Requires the amount/concentration of emission to be below a certain level - Total Maximum Daily Load - Vehicle Emission Standards * Technological standards - Requires certain technology to be implemented - Best Available Control Technology (BACT)

Is command-and-control a good idea?

There are two firms in the city of Kingslanding that can produce the same kind of printing paper. “Paper.ai” is a state-of-the-art company that automates every step in their production. “The Baratheon’s Paper Mill” is an old style mom and pop shop that relies heavily on labor.

Both of the two firms emit suspended solids into the nearby river body. However, their ability and cost to abate these suspended solids are drastically different: Paper.ai is empowered by robots to remove solids from the water, while the Baratheon’s Mill filters out solids by hand.

Under the unregulated scenario, both firms will emit 10 units of suspended solid into the water body. However their marginal abatement cost is different. Here is the marginal cost each firm has to pay to abate Q units of suspended solid:

Paper.ai: \(MAC_A: P = Q\)
Baratheon’s: \(MAC_B: P = 2Q\)

where Q is the amount of solid waste discharged into the river body. Paper.ai is more efficient in abating pollution than Baratheon’s.

The Command-and-Control Approach

Suppose the policy goal is to reduce total discharge by 10 units. Here’s how a emission standard works:

Paper.ai and Baratheon’s will each abate their discharge by 5 units. Or equivalently, each firm can only discharge 5 units into the water body.

Paper.ai: Marginal abatement cost is $5 when Q=5
Baratheon’s: Marginal abatement cost is $10 when Q=5

Total Cost for the program:
Paper.ai: \(5*5*0.5 = \$12.5\)
Baratheon’s: \(10*5*0.5 = \$25\)

Total cost for the society: $37.5

This does not minimize the societal cost to achieve the policy target:

Nor does it encourages further abatement

The tax approach

Here’s how a tax works:

Both firms will pay a tax rate of t for each unit of discharge. The tax rate is set such that the two firms meet the total abatement target of 10 units.

Firms will abate up to the point where the MAC is equal to the tax rate.

The optimal tax rate is somewhere between \(\$5\) (MAC for paper.ai) and\(\$10\) (MAC for Baratheon’s)

To find out the optimal tax rate, we can do:

Under \(t = \$6.67\), the amount of abatement will be:

\(Q_A = 6.67\) and \(Q_B = 3.33\)

Amount of emission: 3.33 and 6.67

And the total cost for the two firms:

\[TC_A = 6.67*6.67/2 = \$22.22\] \[TC_B = 3.33*6.67/2 = \$11.11\]

Total cost to the society: $33.33

This minimizes the cost of societal cost:

This also encourages further abatement and innovation

Finally, the cap-and-trade approach

Here’s how a cap-and-trade works:

The government issue a total 10 units of discharge permits to the two firms. Firms can only discharge the amount that is equal to their permitted amount.

Let’s say each firm starts with 5 units of permit in hand, and each need to abate 5 unit of discharge.

There is an incentive for the Baratheon’s to purchase additional permit, with a price lower than $10, and discharge additional solid.

In turn, there’s an incentive for Paper.ai to sell the permit, with a price higher than $5, and abate more.

At the equilibrium, marginal abatement cost will be equalized for the two firms. That coincides with the price of the permit. At which point no firm has any incentive to trade anymore.

This can be quantitatively solved by the following system of equations:

\[Q_A + Q_B = 10\] \[Q_A = 2Q_B\]

which leads to: \(Q_A=6.67\), \(Q_B=3.3\), and \(MAC_A=MAC_B=\$6.67\).

Total cost for Paper.ai equals to its own cost, minus the revenue from selling the permit

6.67*6.67*0.5 + (3.33-5)*6.67 
## [1] 11.10555

Total cost for Baratheons equals to its own cost, plus the revenue from buying the permit

3.33*6.67*0.5 + (6.67-5)*6.67 
## [1] 22.24445

Total cost for the society:

6.67*6.67*0.5 + (3.33-5)*6.67 + 3.33*6.67*0.5 + (6.67-5)*6.67 
## [1] 33.35

Initial allocation does not matter at all

Coase theorem predicts that initial allocation should not matter at all, as long as property right is complete and there is no transaction cost. We can verify that.

Say now Baratheon’s gets all 10 unit, and Paper.ai gets 0.

Baratheon still wants to sell, Paper.ai wants to buy, so at the equilibrium we still have \(MAC_A = MAC_B = P\), where there is no further incentive to trade.

which leads to: \(Q_A=6.67\), \(Q_B=3.33\), and \(MAC=\$6.67\).

The distribution of costs are different:

Total cost for Paper.ai:

6.67*6.67*0.5 + (3.33-0)*6.67 
## [1] 44.45555

Total cost for Baratheon’s

3.33*6.67*0.5 + (6.67-10)*6.67 
## [1] -11.10555

Total cost for the society:

6.67*6.67*0.5 + (3.33-0)*6.67 + 3.33*6.67*0.5 + (6.67-10)*6.67 
## [1] 33.35

Takeaways from the Model

Some real-world market-based policies

The US Sulfur Policy, Historically

Clean Air Act, 1990 Amendment

Performance of the Program

Doing the Right Thing for the Wrong Reason

An Unanticipated Consequence of Deregulation

Largest benefits come from input substitution

Rail shipping rates go down

Conservatives demonize their own innovation

20 Years Later

What the government gives, it can take away

In the 2000s

Obama’s new Cross-State Air Pollution Rule

Lessons from the sulfur trading program

Issues with incentive-based policies

Is incentive-based policy always preferred?

Pollution Hotspots

Cost of Monitoring and Administration

On the other hand, market-based policies do encourage compliance * Command-and-control faces political lobbying and backslash * High compliance cost - more incentive to lobby/sue * Market-based policies encourage innovation - Tech-savvy firms now have a comparative edge

Linking Jurisdictions

If pollution can be uniformly mixed, then it might be a good idea:

An Extreme Example of Jusrisdiction

Toyota Prius: 54 mpg

Toyota Corolla (standard): 37 mpg

Ford F150: 25 mp

g

What are the automakers thinking?

They are already innovating

And two standards will be a regulatory nightmare:

The administration’s response?