The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Money as tool, money as drug: The biological psychology of a strong incentive
Abstract
Why are people interested in money? Specifically, what could be the biological basis for the extraordinary incentive and reinforcing power of money, which seems to be unique to the human species? We identify two ways in which a commodity which is of no biological significance in itself can become a strong motivator. The first is if it is used as a tool, and by a metaphorical extension this is often applied to money: it is used instrumentally, in order to obtain biologically relevant incentives. Second, substances can be strong motivators because they imitate the action of natural incentives but do not produce the fitness gains for which those incentives are instinctively sought. The classic examples of this process are psychoactive drugs, but we argue that the drug concept can also be extended metaphorically to provide an account of money motivation. From a review of theoretical and empirical literature about money, we conclude that (i) there are a number of phenomena that cannot be accounted for by a pure Tool Theory of money motivation; (ii) supplementing Tool Theory with a Drug Theory enables the anomalous phenomena to be explained; and (iii) the human instincts that, according to a Drug Theory, money parasitizes include trading (derived from reciprocal altruism) and object play.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Institutions, Institutional Change and Economic Performance
North, D. C. (1990) · doi:10.1017/cbo9780511808678 · Cited by 32,691
Maslow, A. H. (1943) · Psychological Review · doi:10.1037/h0054346 · Cited by 21,563
The Evolution of Reciprocal Altruism
Trivers, R. L. (1971) · The Quarterly Review of Biology · doi:10.1086/406755 · Cited by 11,010
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Sahlins, M., & Graeber, D. (2017) · Routledge (orig. 1972) · doi:10.4324/9781315184951 · Cited by 3,159
Separate neural systems value immediate and delayed monetary rewards
McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004) · Science · doi:10.1126/science.1100907 · Cited by 3,089
(2000) · doi:10.1017/cbo9780511803475 · Cited by 2,987
When choice is demotivating: can one desire too much of a good thing?
Iyengar, S. S., & Lepper, M. R. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.6.995 · Cited by 2,878
Not By Genes Alone: How Culture Transformed Human Evolution
Richerson, P. J., & Boyd, R. (2004) · doi:10.7208/chicago/9780226712130.001.0001 · Cited by 2,793
Argonauts of the Western Pacific
Malinowski, B. (2002) · doi:10.4324/9780203421260 · Cited by 2,160
Cited by
The psychological consequences of money
Vohs, K. D., Mead, N. L., & Goode, M. R. (2006) · Science · doi:10.1126/science.1132491 · Cited by 1,337
McKay, R. T., & Dennett, D. C. (2009) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09990975 · Cited by 474
Protecting the self through consumption: Status goods as affirmational commodities
Sivanathan, N., & Pettit, N. C. (2010) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2010.01.006 · Cited by 449
The Symbolic Power of Money: Reminders of Money Alter Social Distress and Physical Pain
Zhou, X., Vohs, K. D., & Baumeister, R. F. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02353.x · Cited by 388
The origins of altruism in offspring care.
Preston, S. D. (2013) · Psychological Bulletin · doi:10.1037/a0031755 · Cited by 368
Metadata
- Authors
- Lea, S. E. G., & Webley, P.
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 2006-04
- Volume
- 29
- Issue
- 2
- Pages
- 161-209
- ISSN
- 0140-525X (ISSN-L)
- 1469-1825
- OpenAlex
- W1972903509
- Cited by
- 478
- References
- 23
- FWCI
- 14.17
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Money as tool, money as drug: The biological psychology of a strong incentive. https://app.cochat.ai/papers/10.1017/s0140525x06009046
- The paper
- Lea, S. E. G., & Webley, P. (2006). Money as tool, money as drug: The biological psychology of a strong incentive. Behavioral and Brain Sciences. https://doi.org/10.1017/s0140525x06009046
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.