Redefining innovation — eco-innovation research and the contribution from ecological economics
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The double externality problem is the most denoting challenge for sustainable entrepreneurs.
“Finally, the most denoting challenge is the so-called double externality problem (Rennings, 2000).”
From Sustainable entrepreneurship, innovation, and business models: Integrative framework and propositions for future research (2020) · cites this paper as Rennings, 2000
Cites
Toward a New Conception of the Environment-Competitiveness Relationship
Porter, M. E., & Linde, C. V. D. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.97 · Cited by 13,365 · see citing works
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Critical success factors of green innovation: Technology, organization and environment readiness
Zhang, Y., Sun, J., Yang, Z., & Wang, Y. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.121701 · Cited by 508 · see citing works
Lüdeke‐Freund, F. (2020) · Business Strategy and the Environment · doi:10.1002/bse.2396 · Cited by 419 · see citing works
Drivers and barriers of eco‐innovation types for sustainable transitions: A quantitative perspective
Kiefer, C. P., Del Río González, P., & Carrillo‐Hermosilla, J. (2019) · Business Strategy and the Environment · doi:10.1002/bse.2246 · Cited by 379 · see citing works
Luo, S., Yu, S., & Zhou, G. (2021) · Energy Economics · doi:10.1016/j.eneco.2021.105335 · Cited by 194 · see citing works
Reviewing financing barriers and strategies for urban nature-based solutions
Toxopeus, H., & Polzin, F. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112371 · Cited by 196 · see citing works
Knowledge transfer and organizational innovation: Impacts of quality and environmental management
Hamdoun, M., Chiappetta Jabbour, C. J., & Ben Othman, H. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.05.031 · Cited by 163 · see citing works
Hasan, M. J., & Rahman, M. S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18102 · Cited by 34 · see citing works
Loizou, E., Michailidis, A., & Chatzitheodoridis, F. (2013) · British Food Journal · doi:10.1108/bfj-04-2010-0068 · Cited by 33 · see citing works
The use and drivers of organisational eco-innovation in European SMEs
Rodríguez-Rebés, L., Ibar-Alonso, R., Gómez, L. M. R., & Navío-Marco, J. (2024) · Research in International Business and Finance · doi:10.1016/j.ribaf.2024.102297 · Cited by 32 · see citing works
Baum, C. F., Kordestani, A., Schäfer, D., & Stephan, A. (2021) · Vierteljahrshefte zur Wirtschaftsforschung · doi:10.3790/vjh.90.4.71 · Cited by 3 · see citing works
- Authors
- Rennings, K.
- Affiliations
- Centre for European Economic Research (DE)
- Corresponding author
- Rennings, Klaus
- Venue
- Ecological Economics
- Publisher
- Elsevier BV
- Published
- 2000-02
- Volume
- 32
- Issue
- 2
- Pages
- 319-332
- ISSN
- 0921-8009 (ISSN-L)
- OpenAlex
- W2097628222
- Cited by
- 3,226
- References
- 1
- Citations by year
- 2026: 354 · 2025: 325 · 2024: 327 · 2023: 307 · 2022: 271 · 2021: 209 · 2020: 174 · 2019: 173 · 2018: 152 · 2017: 153 · 2016: 131 · 2015: 143 · 2014: 84 · 2013: 83 · 2012: 84
- FWCI
- 22.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ecological Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Bundesministerium für Bildung und Forschung
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Sustainability and Innovation in Business
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Keywords
- green innovation, sustainable development, technological innovation, social innovation, institutional innovation, technology bias, market failure, evolutionary economics, neoclassical economics, methodological pluralism, environmental economics, innovation economics
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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.
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