Dynamic Adaption in Long-Term Contracts: The Case of US Coal

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Adaptation in Long Term Contracts:

The Case of US Coal 1980-2000

Kanishka Kacker

University of Maryland, Department of Agriculture and

Resource Economics

June 25 th 2010

Prelude: 2 quotes

• Joskow (1985): “Long-term (nominal) fixed-price contracts are simply not credible in a market like this, and I would not expect them to be used extensively”

• Hart (2009) Proposition 1: “(Price) Indexed contracts are strictly superior to nonindexed

contracts

• “(This) result is consistent with Joskow’s finding that price indexation is a common feature of contracts between

suppliers and buyers of coal

These assertions are contradicted

Coal transportation rate database, Energy Information

Administration, USA

In 1980 the dominant contract form specifies a

Base Price with escalation clauses built in …

…In 2000, this is no longer true

Fixed Price contracts account for approx 50% of contracts

Some good questions

• Are these buyers (Power Plants) and sellers (Coal

Mines) being silly?

– Herbert Simon (1951): “Human behaviour is

intendedly rational, but only limitedly so”

• Who cares about coal anyway?

– Wide variation in governance forms at a point in time

(Joskow, 1987)

– Environmental regulation  alters governance structure over time  underlying motivation

Supplier Side shifts (1)

500 000

450 000

400 000

350 000

300 000

250 000

200 000

150 000

100 000

50 000

0

Production (thousand short tons) (y)

Appalachia

Interior

Western

1986 1991 1994 1997

…production of

Western Mines increases rapidly

Supplier Side Shifts (2)

Number of Mines (n)

4 500

4 000

3 500

3 000

2 500

2 000

1 500

1 000

500

0

1986 1991

Appalachia

1994

Interior Western

1997

…so average mine size increases overall, but the increase for Western mines is massive

350

300

250

200

150

100

50

0

…while the number of mines declines overall,

Appalachian/Interior mines fall by a greater amount

7 000

6 000

5 000

4 000

3 000

2 000

1 000

0

Average Mine Size (thousand short tons) (= y/n)

1400

1200

1000

800

600

400

200

0

1986

Western

1991 1994

Appalachia

1997

Interior

Demand side shifts

• 1990 Clean Air Act Amendment

– Established permit trading program for Sulfur Di-

Oxide

– Total emissions capped

– Constraint set to bind in 2 phases

• Phase I (begins 1995) targets the dirtiest 110 coalburning power plants

• Phase II (begins 2000) new restrictions on cleaner plants, older restrictions tightened

Why have long term contracts at all?

– Given significant investment in relationship-specific capital, repeated bargaining is unattractive

– Hold-up problem: “Sunk” investments create opportunities for haggling ex-post

• Discourage investment ex-ante

– These opportunities need to be mitigated to allow for

(efficient) trade

– A long term contract is the instrument through which this mitigation is carried out

What determines contractual relations?

• Williamson (1985): governance form varies according to

– Asset Specificity

– Uncertainty

– Frequency

Joskow’s interpretation (1987)

Contract duration = F (Site Specificity, Physical Asset

specificity, Dedicated Assets)

Site specificity = “Mine-mouth” Power Plants

Physical asset specificity = Boiler specification for different kinds of coal

Dedicated assets = Coal quantity

Joskow interpretation: Williamson theory should predict F

1 inverse U shape

>0, F

2

>0, F

3

This is what he finds

Joskow (1987)

Contract duration =

F ( Site Specificity , Physical

Asset specificity , Dedicated

Assets )

F

1

>0,

“Site

Specificity”

F

2

>0,

F

3 inverse U shape

“Dedicated

Assets”

Physical

Asset

Specificity

Regulation, technology alteration and altered contracts

• Power plant engineers begin to alter boilers to burn

Western coal

• Changing boiler technology  asset more generic  decreased physical asset specificity  lessens incentive to engage in long-term contracts

Revisit earlier model: Does the prediction of declining asset specificity hold up?

Contract duration = F (Site Specificity, Physical Asset

specificity, Dedicated Assets)

• Want a reduced coefficient for physical asset specificity…

• Will take data from 1990 to 2000, and divide into two time periods 1990 - 1995 and 1995 – 2000

Comparative Static Assessment

Joskow: Mine

A comparative static assessment

• We have evidence of a buyer (power plants) looking to alter a technology to accommodate a changing supplier (coal mine)

=> Following transaction cost theory (Williamson

1985), physical specificity is reduced  less incentive to engage in long term contract

• The only assessment allowed by this theory is a comparative static one

How do contracts change as their environment changes?

• Why is this important?

– Examine how contracts work , not “make or buy”

– Klein (2004) talks about examining changes in contractual arrangements to changing circumstances

– “Contracts as reference points” theory predictions flatly contradicted by data on coal contracts

• Most theorizing has taken a static viewpoint

– Che and Sakovics (2004) explicitly talks about a dynamic theory of hold-up

– Admitting dynamics, they find hold-up need not entail underinvestment

• Dynamics of contractual change need to be understood

• Through the effects of regulation on contractual arrangements

Summing up

• Dataset of contracts that capture buyer-seller interaction at a time when both experience significant shifts

• Evidence of altered contractual arrangements in line with a comparative static prediction of transaction cost theory

• Explicit characterization of dynamics underlying contractual shifts (following from regulation) is what is needed

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