I = PAT

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Studying the impact of mining on environment and village community
Pollution from a factory

I = (PAT) is the mathematical notation of a formula put forward to describe the

impact of human activity on the environment
.

I = P × A × T

The expression equates

affluence (A) and technology (T). It is similar in form to the Kaya identity which applies specifically to emissions of the greenhouse gas carbon dioxide
.

The validity of expressing environmental impact as a simple product of independent factors, and the factors that should be included and their comparative importance, have been the subject of debate among

environmentalists
. In particular, some have drawn attention to potential inter-relationships among the three factors; and others have wished to stress other factors not included in the formula, such as political and social structures, and the scope for beneficial, as well as harmful, environmental actions.

History

The equation was developed in 1970 during the course of a debate between

environmental impacts in the United States were caused primarily by changes in its production technology following World War II and focused on present-day deteriorating environmental conditions in the United States. Ehrlich and Holdren argued that all three factors were important but emphasized the role of human population growth, focusing on a broader scale, being less specific in space and time.[1][2][3][4]

The equation can aid in understanding some of the factors affecting human impacts on the environment,[5] but it has also been cited as a basis for many of the dire environmental predictions of the 1970s by Paul Ehrlich, George Wald, Denis Hayes, Lester Brown, René Dubos, and Sidney Ripley that did not come to pass.[6] Neal Koblitz classified equations of this type as "mathematical propaganda" and criticized Ehrlich's use of them in the media (e.g. on The Tonight Show) to sway the general public.[7]

The dependent variable: Impact

The variable "I" in the "I=PAT" equation represents environmental impact. The environment may be viewed as a self-regenerating system that can endure a certain level of impact. The maximum endurable impact is called the carrying capacity. As long as "I" is less than the carrying capacity the associated population, affluence, and technology that make up "I" can be perpetually endured. If "I" exceeds the carrying capacity, then the system is said to be in overshoot, which may only be a temporary state. Overshoot may degrade the ability of the environment to endure impact, therefore reducing the carrying capacity.

Impact may be measured using

global hectares
(gha). Ecological footprint per capita is a measure of the quantity of Earth's biologically productive surface that is needed to regenerate the resources consumed per capita.

Impact is modeled as the product of three terms, giving gha as a result. Population is expressed in human numbers; therefore affluence is measured in units of gha per capita. Technology is a unitless efficiency factor.

The three factors

Population

See also: World population and Human overpopulation
Population (est.) 10,000 BC – 2000 AD

In the I=PAT equation, the variable P represents the population of an area, such as the world. Since the rise of industrial societies, human population has been increasing exponentially. This has caused

Thomas Malthus, Paul Ehrlich and many others[who?] to postulate that this growth would continue until checked by widespread hunger and famine (see Malthusian growth model
).

The United Nations project that world population will increase from 7.7 billion today (2019) to 9.8 billion in 2050 and about 11.2 billion in 2100.[8] These projections take into consideration that population growth has slowed in recent years as women are having fewer children. This phenomenon is the result of demographic transition all over the world. Although the UN projects that human population may stabilize at around 11.2 billion in 2100, the I=PAT equation will continue to be relevant for the increasing human impact on the environment in the short to mid-term future.

Environmental impacts of population

Increased population increases humans' environmental impact in many ways, which include but are not limited to:

Affluence

Main article: Consumption (economics)
Geary-Khamis dollars
)

The variable A in the I=PAT equation stands for

GDP per capita
. While GDP per capita measures production, it is often assumed that consumption increases when production increases. GDP per capita has been rising steadily over the last few centuries and is driving up human impact in the I=PAT equation.

Environmental impacts of affluence

Increased consumption significantly increases human environmental impact. This is because each product consumed has wide-ranging effects on the environment. For example, the construction of a car has the following environmental impacts:

The more cars per capita, the greater the impact. Ecological impacts of each product are far-reaching; increases in consumption quickly result in large impacts on the environment through direct and indirect sources.

Technology

See also: Environmental technology and Appropriate technology

The T variable in the I=PAT equation represents how resource intensive the production of affluence is; how much environmental impact is involved in creating, transporting and disposing of the goods, services and amenities used. Improvements in efficiency can reduce resource intensiveness, reducing the T multiplier. Since technology can affect environmental impact in many different ways, the unit for T is often tailored for the situation to which I=PAT is being applied. For example, for a situation where the human impact on climate change is being measured, an appropriate unit for T might be greenhouse gas emissions per unit of GDP.

Environmental impacts of technology

Increases in efficiency from technologies can reduce specific environmental impacts, but due to increasing prosperity these technologies yield for the people and businesses that adopt them, technologies actually end up generating greater overall growth into the resources that sustain us.

Criticism

Native American fishing practices (low technology) have a vastly smaller impact than industrialized fishing.

Criticisms of the I=PAT formula:

  • Too simplistic for complex problem
  • Interdependencies between variables
  • General sweeping assumptions of variables' effect toward environmental impact
  • Cultural differences cause wide variation in impact
  • Technology cannot properly be expressed in a unit. Varying the unit will prove to be inaccurate, as the result of the calculation depends on one's view of the situation.

Interdependencies

The I=PAT equation has been criticized for being too simplistic by assuming that P, A, and T are independent of each other. In reality, at least seven interdependencies between P, A, and T could exist, indicating that it is more correct to rewrite the equation as I = f(P,A,T).

Jevons Paradox. As was shown by Alcott,[10]: Fig. 5  despite significant improvements in the carbon intensity of GDP (i.e., the efficiency in carbon use) since 1980, world fossil energy consumption has increased in line with economic and population growth. Similarly, an extensive historical analysis of technological efficiency improvements has conclusively shown that improvements in the efficiency of energy and material use were almost always outpaced by economic growth, resulting in a net increase in resource use and associated pollution.[11][12]

Neglect of beneficial human impacts

There have also been comments that this model depicts people as being purely detrimental to the environment, ignoring any

restoration efforts that societies have made.[13]

Neglect of political and social contexts

Another major criticism of the I=PAT model is that it ignores the political context and decision-making structures of countries and groups. This means the equation does not account for varying degrees of power, influence, and responsibility of individuals over environmental impact.

environmental sustainability of these societies is largely an epiphenomenon due their inability to significantly affect their environment.[16][17][18] That all types of societies are subject to I=PAT was actually made clear in Ehrlich and Holdren's 1972 dialogue with Commoner in The Bulletin of the Atomic Scientists,[4] where they examine the pre-industrial (and indeed prehistoric) impact of human beings on the environment. Their position is further clarified by Holdren's 1993 paper, A Brief History of "IPAT".[19]

Policy implications

As a result of the interdependencies between P, A, and T and potential rebound effects, policies aimed at decreasing environmental impacts through reductions in P, A, and T may not only be very difficult to implement (e.g.,

Pigouvian taxation of resource use or pollution.[10]

See also

References

  1. ^ O'Neill, B.C.; MacKellar, F.L.; Lutz, W. (2004). "Population, greenhouse gas emissions, and climate change". In Lutz, W.; Sanderson, W.C.; Scherbov, S. (eds.). The End of World Population Growth in the 21st Century: New Challenges for Human Capital Formation & Sustainable Development. London: Earthscan Press. pp. 283–314.
  2. PMID 5545198
    .
  3. ^ Chertow, Marian (2001). "The IPAT Equation and Its Variants". Changing Views of Technology and Environmental Impact.
  4. ^
    doi:10.1080/00963402.1972.11457930
    .
  5. S2CID 153623657
    .
  6. ^ R Bailey (2000) Earth day then and now, Reason 32(1), 18-28
  7. ^ N Koblitz (1981) "Mathematics as Propaganda", in Mathematics Tomorrow, ed. Lynn Steen, pp 111-120.
  8. ^ "Population Prospects 2017" (PDF).
  9. ^
    doi:10.1016/j.ecolecon.2003.08.009
    .
  10. ^
    doi:10.1016/j.jclepro.2009.08.001
    .
  11. ISBN 0865717044
    , 464 pp.
  12. S2CID 153936260
    .≥
  13. ^
    ISBN 978-1-4051-8931-6
    .
  14. OCLC 13516436
    .
  15. OCLC 40762824
    .
  16. S2CID 7165162
    .
  17. S2CID 13982607
    .
  18. S2CID 250227342
    .
  19. doi:10.3197/jps.2018.2.2.66
    . Retrieved 21 June 2023.

External links

  • Media related to I = PAT at Wikimedia Commons
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