Demonstration 1 of 4
Hotelling arbitrage: extract now or wait
Does a tonne left underground earn as much as the money from selling it today?
The owner treats the deposit as an asset. Selling now yields today's rent, which can earn r; waiting yields next year's rent. When expected rent grows faster than r, extraction is postponed; when slower, it moves toward the present, until the two match.
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lambda is scarcity rent, price minus marginal extraction cost, in dollars per tonne. Today's rent is $63 after the market adjusts. Next year's price is $99 and c1 is next year's extraction cost. r is the comparable return.
Predict first. If next-year cost rises to $36 and r falls to 4 percent, does waiting become attractive?
Choose an example
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Constructed example: the chapter's hypothetical quarry (rent $63, price $99, costs $27, $30.96 and $36, returns 8 and 12 percent); a 4 percent return is added for comparison.
Calculated values
- Required next-year rent
- $68.04
- Expected next-year rent
- $68.04
- Underground return
- 8.0%
- Required return
- 8%
- Decision
- No profitable shift
A unit left in the ground must earn 8% to match the financial return: 1.08 x 63 = 68.04. Next year's expected rent is 99 - 30.96 = 68.04: the two returns are equal and no marginal shift is profitable.
Worked steps
- Required rent = (1 + 0.08) x 63 = 1.08 x 63 = 68.04
- Expected rent = 99 - 30.96 = 68.04
- Underground return = 68.04 / 63 - 1 = 8.0%
- Compare: 68.04 = 68.04
Use the idea
Compare expected net rent next year, after extraction cost, with today's rent grown at a comparable return; gross price growth alone is not enough.
Where the conclusion applies
Two dates, homogeneous tonnes, known prices and costs, and no capacity limit, tax or externality. Discoveries, market power and unpriced damage change the comparison.
Check your understanding: At r = 0.04 and next-year cost $36, which is larger, the required or the expected next-year rent?
Chapter 82 source: section "Hotelling rule".
Demonstration 2 of 4
The Clark extinction margin
When does a private owner sell a slow-breeding animal rather than keep it?
A slow-growing stock is capital that earns its own growth rate. When the owner's discount rate exceeds that return, selling and investing the money wins, which can drive the stock to zero. A lower rate or a payment tied to survival raises the value of keeping it.
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Selling today yields $14,000 net. Keeping the animal yields $14,700 next year (offspring and later sale) plus any payment s per surviving adult. r is the owner's discount rate; PV_K is the present value of keeping it.
Predict first. Is a $900 survival payment enough to save the animal if the owner's rate rises to 10 percent?
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Constructed example: the chapter's hypothetical antelope (sale $14,000, retained value $14,700, rates 7 and 4 percent, a $900 payment); a 10 percent rate and a $450 payment are added.
Calculated values
- Payoff next year
- $14,700
- PV of retention
- $13,738.32
- Sale value today
- $14,000
- Margin
- liquidation by $261.68
- Decision
- Sell now
Retention pays $14,700 next year. Discounted at 7%: 14,700 / 1.07 = 13,738.32, against a sale value of 14,000. Selling now wins by $261.68; if this holds for every animal that can be caught, the private program tends toward extinction.
Worked steps
- PV = 14,700 / 1.07 = 13,738.32
- 13,738.32 - 14,000 = -261.68
Use the idea
Compare the discounted value of keeping a living asset, including any survival payment, with what it sells for today.
Where the conclusion applies
One period, a certain next-year value, no search cost and no other terminal value. Unpriced benefits to neighbours are left out of the private comparison.
Check your understanding: At r = 0.10 and a $900 payment, which wins and by how much?
Chapter 82 source: section "Clark extinction condition".
Demonstration 3 of 4
Efficiency rebound and backfire
When does a more efficient technology end up using more of the resource?
Efficiency lowers use per task, but cheaper service draws more tasks. Rebound measures how much of the engineering saving the extra tasks take back. When growth exceeds e / (1 - e), the saving is more than erased.
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R is baseline use, 24 million kilowatt-hours a month. e is the proportional cut in intensity and g the induced growth in tasks. rho is rebound as a share of the engineering saving eR.
Predict first. With only a 25 percent intensity cut, does 70 percent task growth cause backfire?
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Constructed example: the chapter's hypothetical computing platform (24 million kWh, e = 0.5, g = 0.7 and 1.3); cuts of 25 and 75 percent and growth of 30 and 200 percent are added.
Calculated values
- Engineering use R(1 - e)
- 12.0
- Actual use R'
- 20.4
- Rebound rho
- 0.70
- Backfire threshold g >
- 1.00
- Backfire
- no
Cutting intensity by 50% would bring use to 24 x 0.50 = 12.0 million kWh, but tasks grow 70%, so use is 12.0 x 1.70 = 20.4. Rebound is 0.50 x 0.70 / 0.50 = 0.70, or 70% of the engineering saving. Growth 0.70 is below the threshold 1.00, so use stays 3.6 million below the baseline and part of the saving survives.
Worked steps
- R(1 - e) = 24 x 0.50 = 12.0
- R' = 24 x 0.50 x 1.70 = 20.4
- rho = 0.50 x 0.70 / 0.50 = 0.70
- Threshold e / (1 - e) = 0.50 / 0.50 = 1.00
Use the idea
Before counting an efficiency gain as a resource saving, estimate how much service demand the gain itself causes.
Where the conclusion applies
g is the causal growth from the efficiency change, not growth that would have happened anyway. The identity says nothing about where g comes from.
Check your understanding: At e = 0.25 and g = 0.7, what are R' and rebound?
Chapter 82 source: section "Jevons-Like Demand Expansion and the Capex Buildout".
Demonstration 4 of 4
Quasi-option value of waiting to learn
When is it worth delaying an irreversible development to learn what the estuary is worth?
Development is irreversible but waiting is not. Delay lets the decision follow the study: preserve if the estuary proves valuable, develop if not. The value of that flexibility, not preservation itself, can make waiting win.
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All values are present values in $ million. Developing now yields 140. Waiting preserves 8 of interim services; after the study, development yields 120. The intact estuary is worth the high-state value with probability p and 50 otherwise. V_P is the value of waiting and learning.
Predict first. If the high state has only a 20 percent chance, does learning still beat immediate development?
Choose an example
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Constructed example: the chapter's hypothetical estuary (140 now, 8 interim, 120 later, 230 with p = 0.4, 50 otherwise); probabilities 0.2 and 0.6 and high values 150 and 310 are added.
Calculated values
- Wait and learn V_P
- 172
- Wait, then preserve
- 130
- Develop now
- 140
- Waiting minus developing now
- 32
- Best choice
- wait and learn
Waiting keeps both options: 8 + 0.4 x 230 + 0.6 x 120 = 172 million. A fixed commitment to preserve gives 8 + 0.4 x 230 + 0.6 x 50 = 130. Waiting to learn beats developing now by 32 million; committing to preserve after waiting would not beat developing now. The gap of 42 between the two waiting values is the value of being able to develop in the low state.
Worked steps
- V_P = 8 + 0.4(230) + 0.6(120) = 172
- Preserve = 8 + 0.4(230) + 0.6(50) = 130
- V_P - develop now = 172 - 140 = 32
Use the idea
Before an irreversible commitment, value the option to act after new information, and compare it with the cost of delay.
Where the conclusion applies
An informative study, a fixed later development value, and no partial reversibility. An uninformative study or a large delay cost removes the advantage.
Check your understanding: At p = 0.2 and a high-state value of 230, what are V_P and the fixed-preservation value?
Chapter 82 source: section "Arrow-Fisher quasi-option value".