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IPAT Decomposition/Bevis
Metodebevisregister

IPAT Decomposition

IPAT decomposition expresses environmental impact as the product of three factors, population, affluence, and technology, providing a simple accounting framework for attributing degradation to its proximate human drivers. The identity was crystallized in the debate between Paul Ehrlich, John Holdren, and Barry Commoner around 1971, with Ehrlich and Holdren's Science article on the impact of population growth a foundational statement. In the equation, affluence is output per person and technology is impact per unit of output, so the three factors multiply back exactly to total impact, making IPAT a definitional identity rather than an empirical claim. Its best-known specialization, the Kaya identity, decomposes carbon emissions into population, GDP per capita, energy intensity of output, and carbon intensity of energy, and underpins much emissions-scenario work. By taking growth rates, IPAT also yields a clean additive decomposition that apportions the change in impact among its drivers. Because the identity assumes each factor contributes proportionally, it was the stimulus for the stochastic STIRPAT model, in which Dietz and Rosa relaxed that assumption to test the drivers statistically.

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IPAT Decomposition (Impact = Population x Affluence x Technology, with Kaya Identity)
Taksonomisk metoderegister · process-pipeline / environmental-sociology
  • Ehrlich, P. R., & Holdren, J. P. (1971). Impact of Population Growth. Science, 171(3977), 1212-1217. · DOI 10.1126/science.171.3977.1212
  • Dietz, T., & Rosa, E. A. (1997). Effects of population and affluence on CO2 emissions. Proceedings of the National Academy of Sciences, 94(1), 175-179. · DOI 10.1073/pnas.94.1.175
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Used in the same domainEnvironmental Kuznets Curve Estimationmachine-suggested · Relational suggestion, not evidence.Same method familySocial Metabolism Analysismachine-suggested · Relational suggestion, not evidence.Used in the same domainSTIRPAT Modelmachine-suggested · Relational suggestion, not evidence.Same method familyTapio Decoupling Analysismachine-suggested · Relational suggestion, not evidence.

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Bibliographic sources are present. Claim-level evidence review has not been performed.

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