Environmental Accounting Identities: IPAT and its Children
IPAT is one (limited) approach – A tool for the toolbox.
IPAT Identity Origin
IPAT came about as a result of truce between two camps of environmentalists - Erlich and Erlich (too many people/overpopulation) vs. Commoner (destructive technology). There was a fight between population and technology as the main driving force of environmental problems. IPAT is the compromise (1960s to 1972 publication).
The Equation
Impact = Population*Affluence*Technology
How do you make Impact 0%? Or decline? You can’t have everything increasing.
1972 elaboration –
I = P*A*T -> Emissions (tons) = Pop*(GDP/Pop)*(tons/GDP)
How is it most commonly used?
- Make and critique future trends in environmental impacts
- Historical, recent, predictive
- Manipulable
- Can be measured using whatever metrics you’re interested in
- Reduce intensity of use=dematerialization
- Reduce impact/good=efficiency
- Ex: Emissions CO2 (tons) = Pop*(GDP/pop)*(tons/$GDP)
- Doesn’t have any content (just equals out to emissions) – only a method of understanding
- Modern versions:
- ImPACT model (Waggoner and Ausubel) - Adds consumption
- Industrial ecology uses ImPACT
- Im=Environmental impact
- P=population
- A=affluence (GDP/capita)
- C=intensity of use/consumption
- T=impact/good
- Kaya identity (Raupach et al)
- IPAT related to global CO2 emissions and climate change
- CO2 = Pop*(GDP/Pop)*(Energy/GDP)*(CO2/Energy)
- Energy intensity for generating goods and services versus how society gets it energy
- Society that ran entirely on neutrals (nuke E, for ex) would be zero
- Dominant framework (right now) for GHGs
- Decomposing Rates of Change
- Transform the identity to differential form
- Using % rates of change, elasticities, logarithmic derivatives
- IF… CO2=Pop*GDP/Pop*Energy/GDP*CO2/Energy, THEN… %ΔCO2 = %ΔPop + %ΔGDP/Pop + %ΔEnergy/GDP + %ΔCO2/Energy - see slide for example
- Use for projecting future trends and/or scenarios
- ImPACT model (Waggoner and Ausubel) - Adds consumption
IPAT Limitations
- Factors not independent, they can’t be separately manipulated.
- Emissions don’t equal impact. There’s nothing about interactions and non-linearity of environmental effects. It could be more important to avoid certain increases in certain points of time and less important for others.
- Aggregate representation ignores distributional issues. Differences in income, contribution, growth rates among sub-groups and individuals. Ex: lots of emissions from a very small number of cars.
- Equity, types of consumption
- Remember limitations and keep them in mind when using identities. Still overall useful.
Individual IPAT Factors
Population
- One of the earliest environmental concerns.
- Malthus (1780), economics as the dismal science.
- There was a population panic in the 1960s. 20th century population explosion as well as a food production collapse.
- 1962-1963 was a peak in population growth
- Now, the population is growing at 1.1% and declining.
- This is a policy area that is usually avoided.
Does Earth have a carrying capacity?
- Credible estimates from 1 billion to 1 trillion. Middle half is STILL 4-16 billion.
- Very unhelpful
- We’re just guessing how many people the Earth can support.
Affluence/Consumption
- Affluence is a tricky term because it is measured mostly as consumption, but that’s not the same thing.
- Flow of “value” or “affluence” (want it to grow) versus flow of “materials/energy” (decline); Is this possible?
- Affluence has components of individual choice and value
- Is identical to human welfare?
- May be impossible to separate these two – no experience without burning the fuel
- Working one good at a time doesn’t work – have lost the “aggregate” benefit
- Limiting consumption problems
- Legit? What about the poor? Is it feasible? Will be really, really hard to get people to give up what they love. → Polite conversation goes back to technology
Technology
- “Evil technology” argument by Commoner has been refuted
- Mixed and ambiguous – both increases AND decreases environmental burdens
- Strongest driver of environmental trends
- Direct effect reduces environmental burdens
- Can manage environmental problems well using tech
- Alt tech pathways drastically affect the future projections
- Assumes, however: Tech can bring a future that is rich AND green.
- Concerns:
- Evidence of limits of our ability to control/predict technology
- Lock-in effects and feedback loops
- Decentralized actors are more effective than government
- Linkage: rebound effects
- Tech gain is offset by behavioral change. Jevons paradox – lose all you gain and more. Example – fuel economy, lighting.
- Ex: increase fuel economy, people drive more
- Can motivate tech change with policy?
- Hard to control it
Closing questions:
- For impacts:
- What factors can be controlled?
- By who? How?
- What consequences?
- How do we evaluate burdens/impacts?
- Accounting identities are “value free,” except that we assume impacts are bad





