Warm glow is associated with low- but not high-cost sustainable behaviour
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There is likely to be greater demand for products and services that improve customers' well-being by supporting health or education than for green products, which may be more expensive or less likely to facilitate a scalable business model.
“Furthermore, there is likely to be greater demand for products and services that improve customers' well-being by supporting, for example, their health or education than for green products, which may be more expensive than the products customers currently use or be less likely to facilitate a scalable business model (van der Linden, 2018).”
From Sustainability startups and where to find them: Investigating the share of sustainability startups across entrepreneurial ecosystems and the causal drivers of differences (2021) · cites this paper as van der Linden, 2018
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- Authors
- van der Linden, S.
- Venue
- Nature Sustainability
- Published
- 2018-01-08
- Volume
- 1
- Issue
- 1
- Pages
- 28-30
- ISSN
- 2398-9629 (ISSN-L)
- OpenAlex
- W2781873892
- Cited by
- 138
- References
- 20
- Citations by year
- 2026: 15 · 2025: 16 · 2024: 21 · 2023: 17 · 2022: 20 · 2021: 23 · 2020: 12 · 2019: 7 · 2018: 7
- FWCI
- 21.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Sustainability (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Safety Research › Experimental Behavioral Economics Studies
- Keywords
- warm glow giving, intrinsic motivation, sustainable behavior, anticipated emotions, environmental volunteering
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 ›
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