Unraveling the Complexity of the Jevons Paradox: The Link Between Innovation, Efficiency, and Sustainability
Open accessAbstract
The term ‘Jevons Paradox’ flags the need to consider the different hierarchical scales at which a system under analysis changes its identity in response to an innovation. Accordingly, an analysis of the implications of the Jevons Paradox must abandon the realm of reductionism and deal with the complexity inherent in the issue of sustainability: When studying evolution and real change how can we define “what has to be sustained” in a system that continuously becomes something else? In an attempt to address this question this paper presents three theoretical concepts foreign to conventional scientific analysis: (i) complex adaptive systems—to address the peculiar characteristics of learning and self-producing systems; (ii) holons and holarchy—to explain the implications of the ambiguity found when observing the relation between functional and structural elements across different scales (steady-state versus evolution); and (iii) Holling’s adaptive cycle—to illustrate the existence of different phases in the evolutionary trajectory of a complex adaptive system interacting with its context in which either external or internal constraints can become limiting. These concepts are used to explain systemic drivers of the Jevons Paradox. Looking at society’s thermodynamic foundations, sustainability is based on a dynamic balance of two contrasting principles regulating the evolution of complex adaptive systems: the minimum entropy production and the maximum energy flux. The co-existence of these two principles explains why in different situations innovation has to play a different role in the ‘sustainable development’ of society: (i) when society is not subject to external biophysical constraints improvements in efficiency serve to increase the final consumption of society and expand its diversity of functions and structures; (ii) when the expansion of society is limited by external constraints improvements in efficiency should be used to avoid as much as possible the loss of the existing diversity. It is concluded that sustainability cannot be achieved by technological innovations alone, but requires a continuous process of institutional and behavioral adjustment.
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Similar rebound effects to Jevons' paradox have been observed for energy, water, road travel, and agriculture.
“In the centuries since the concept of Jevons' paradox was developed, similar rebound effects have been observed with respect to energy [40] and water [33], as well as in domains such as road travel (where improvements to roads have been found to result in increased congestion [126]) and agriculture (where increasing the yield of a crop makes it more profitable to grow it, thereby increasing land u”
From From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate (2025) · cites this paper as [40]
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- Allen, T. F. H., and Starr, T. B. (1982). Hierarchy. Chicago, IL: The University of Chicago Press.
- Amado, N. B., and Sauer, I. L. (2012). An ecological economic interpretation of the Jevons effect. Ecol. Complex. 9, 2-9. doi: 10.1016/j.ecocom.2011.10.003 · DOI
- Bailey, K. D. (1990). Social Entropy. Albany, NY: State University of New York Press.
- Chomsky, N. (1998). On Language. New York, NY: The New Press.
- Georgescu-Roegen, N. (1976). Energy and Economic Myths: Institutional and Analytical Essays. New York, NY: Pergamon Press.
- Giampietro, M. (2003). Multi-Scale Integrated Analysis of Agroecosystems. Boca Raton, FL: CRC Press.
- Giampietro, M. (in press). "Anticipation in agriculture, " in Handbook of Anticipation: Theoretical and Applied Aspects of the Use of Future in Decision Making, ed R. Poli (New York, NY: Springer).
- Giampietro, M., Allen, T., and Mayumi, K. (2006). The epistemological predicament associated with purposive quantitative analysis. Ecol. Complex. 3, 307-327.doi: 10.1016/j.ecocom.2007.02.005 · DOI
- Giampietro, M., and Mayumi, K. (2000a). Multiple-scale integrated assessment of societal metabolism: Introducing the approach. Popul. Environ. 22, 109-153. doi: 10.1023/A:1026691623300 · DOI
- Giampietro, M., and Mayumi, K. (2000b). Multiple-scales integrated assessments of societal metabolism: Integrating biophysical and economic representations across scales. Popul. Environ. 22, 155-210. doi: 10.1023/A:1026643707370 · DOI
- Giampietro, M., and Mayumi, K. (2008). "The jevons paradox: the evolution of complex adaptive systems and the challenge for scientific analysis, " in The Jevons Paradox and the Myth of Resource Efficiency Improvements, eds J. M. Polimeni, K. Mayumi, M. Giampietro, and B. Alcott (London: Earthscan Research Edition), 79-140.
- Giampietro, M., Mayumi, K., and Sorman, A. H. (2012). The Metabolic Pattern of Societies:Where Economists Fall Short. London: Routledge.
- Giampietro, M., Mayumi, K., and Sorman, A. H. (2013). Energy Analysis for a Sustainable Future: Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism. London: Routledge.
- Gillingham, K., Rapson, D., and Wagner, G. (2016). The rebound effect and energy efficiency policy. Rev. Environ. Econ. Policy 10, 68-88. doi: 10.1093/reep/rev017 · DOI · Paper page
- Glansdorff, P., and Prigogine, I. (1971). Thermodynamics Theory of Structure, Stability and Fluctuations. New York, NY: John Wiley & Sons.
- Goldschmidt, R. (1933). Some aspects of evolution. Science 78, 539-547. doi: 10.1126/science.78.2033.539 · DOI
- Gould, S. J., and Eldredge, N. (1977). Punctuated equilibria: the tempo and mode of evolution reconsidered. Paleobiology 3, 115-151. doi: 10.1017/S0094837300005224 · DOI
- Greene, M. (1969). "Hierarchy: one word, how many concepts?" in Hierarchical Structures, eds L. L. Whyte, A. G. Wilson, and D. Wilson (New York, NY: American Elsevier Publishing Company Inc.), 56-58.
- Holland, J. H. (2006). Studying complex adaptive systems. J. Syst. Sci. Complex. 19, 1-8. doi: 10.1007/s11424-006-0001-z · DOI
- Holling, C. S. (1986). "Resilience of ecosystems; local surprise and global change, "in Sustainable Development of the Biosphere, eds W. C. Clark and R. E. Munn (Cambridge: Cambridge University Press), 292-317.
- Holling, C. S., and Gunderson, L. H. (2002). "Resilience and adaptive cycles, " in Panarchy: Understanding Transformations in Human and Natural Systems, eds L. Gunderson and C. S. Holling (Washington, DC: Island Press), 25-62.
- Hopf, F. A. (1988). "Entropy and evolution: sorting through confusion, " in Entropy, Information and Evolution, eds D. J. Weber and D. Smith (Cambridge, MA: The MIT Press), 263-74.
- Iberall, A. H., Soodak, H., and Arensburg, C. (1981). "Homeokinetic physics of societies -a new discipline: autonomous groups, cultures, politics, " in Perspectives in Biomechanics, Vol. 1, Part 1, eds H. Real, D. Ghista, and G. Rau (New York NY: Harwood Academic Press).
- Jevons, W. S. (1865). The Coal Question (Reprint of the Third Edition-1906), New York, NY: Augustus, M. Kelley.
- Kampis, G. (1991). Self-modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information, and Complexity. Oxford: Pergamon Press.
- Layzer, D. (1988). "Growth of order in the universe, " in Entropy, Information, and Evolution, eds B. H. Weber, D. J. Depew, and J. D. Smith (Cambridge, MA: MIT Press), 23-39.
- Lotka, A. J. (1922). Contribution to the energetics of evolution. Proc. Natl. Acad. Sci.U.S.A. 8, 147-151.
- Madureira, N. L. (2014). "Chapter 3: The rebound effect, " in Key Concepts in Energy. (Cham: Springer International Publishing), 33-52.
- Morowitz, H. J. (1979). Energy Flow in Biology. Woodbridge, CT: Ox Bow Press.
- Nicolis, G., and Prigogine, I. (1977). Self-Organization in Nonequilibrium Systems. New York, NY: John Wiley & Sons.
- Odum, H. T. (1971). Environment, Power, and Society. New York, NY: Wiley- Interscience.
- Odum, H. T. (1996). Environmental Accounting, Emergy and Decision Making. New York, NY: John Wiley
- Rosen, R. (1985). Anticipatory Systems: Philosophical, Mathematical and Methodological Foundations. New York, NY: Pergamon Press.
- Schumpeter, J. A. (1951). Theory of Economic Development. Cambridge: Harvard University Press.
- Simon, H. A. (1962). The architecture of complexity. Proc. Am. Philos. Soc. 106, 467-482.
- Sorrell, S. (2009). Jevons' Paradox revisited: The evidence for backfire from improved energy efficiency. Energy Policy 37, 1456-1469. doi: 10.1016/j.enpol.2008.12.003 · DOI · Paper page
- Authors
- Giampietro, M., & Mayumi, K.
- Affiliations
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Tokushima University (JP)
- Corresponding author
- Giampietro, Mario
- Venue
- Frontiers in Energy Research
- Publisher
- Frontiers Media SA
- Published
- 2018-04-04
- Volume
- 6
- Pages
- 26
- ISSN
- 2296-598X (ISSN-L)
- OpenAlex
- W2795881188
- Cited by
- 101
- References
- 35
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 18 · 2023: 17 · 2022: 19 · 2021: 8 · 2020: 7 · 2019: 4 · 2018: 1 · 2014: 1
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Energy Research (publishedVersion, cc-by)
- Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
- Funders
- European Commission (649342)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Sustainability and Ecological Systems Analysis
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Keywords
- Jevons paradox, innovation, efficiency, sustainability, complex adaptive systems, minimum entropy production, biophysical constraints, sustainable development
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