The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Empirical influence of environmental management on innovation: Evidence from Europe
Open accessAbstract
This paper analyses the hypothesis that environmental management systems (EMS) and managerial activities to reduce negative environmental impacts which are not part of EMS have a positive influence on the probability of firms to carry out environmental innovations. Based on binary and multinomial discrete choice models, the relationship of a number of determinants on the occurrence of environmental innovations is studied using data collected during the "European Business Environment Barometer 2001/2002" survey in 9 European states. The study finds that environmental management systems are associated with process innovations. However, the study does not find that environmental management systems are associated with product innovations. For product innovations, mainly information of consumers and eco-labelling activities show a positive association. Market research on the potential of environmental innovations positively relates to both process and product innovations. Importantly, firm size is not found to have any effect on the probability of a firm carrying out environmental product or process innovations.
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
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
DiMaggio, P. J., & Powell, W. W. (2004) · Advances in Strategic Management · doi:10.1016/s0742-3322(00)17011-1 · Cited by 25,802
A resource‐based view of the firm
Wernerfelt, B. (1984) · Strategic Management Journal · doi:10.1002/smj.4250050207 · Cited by 25,635
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
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
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
DiMaggio, P. (1983) · American Sociological Review · Cited by 9,078
“Sticky Information” and the Locus of Problem Solving: Implications for Innovation
von Hippel, E. (1994) · Management Science · doi:10.1287/mnsc.40.4.429 · Cited by 3,718
Redefining innovation — eco-innovation research and the contribution from ecological economics
Rennings, K. (2000) · Ecological Economics · doi:10.1016/s0921-8009(99)00112-3 · Cited by 3,226
Cited by
Drivers of different types of eco-innovation in European SMEs
Triguero, A., Moreno-Mondéjar, L., & Davia, M. A. (2013) · Ecological Economics · doi:10.1016/j.ecolecon.2013.04.009 · Cited by 854
Green Product Innovation: Where we are and Where we are Going
Dangelico, R. M. (2016) · Business Strategy and the Environment · doi:10.1002/bse.1886 · Cited by 676
Drivers of green and non-green innovation: empirical evidence in Low-Tech SMEs
Cuerva, M. C., Triguero-Cano, Á., & Córcoles, D. (2014) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2013.10.049 · Cited by 615
Costantini, V., & Mazzanti, M. (2012) · Research Policy · doi:10.1016/j.respol.2011.08.004 · Cited by 613
Can political capital drive corporate green innovation? Lessons from China
Lin, H., Zeng, S. X., Ma, H. Y., Qi, G. Y., & Tam, V. W. Y. (2014) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2013.07.046 · Cited by 458
Metadata
- Authors
- Wagner, M.
- Venue
- Ecological Economics
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 66
- Issue
- 2-3
- Pages
- 392-402
- ISSN
- 0921-8009 (ISSN-L)
- OpenAlex
- W2043062658
- Cited by
- 340
- References
- 44
- FWCI
- 31.51
- Type
- journal article
- Language
- en
- Open access
- green
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: Empirical influence of environmental management on innovation: Evidence from Europe. https://app.cochat.ai/papers/10.1016/j.ecolecon.2007.10.001
- The paper
- Wagner, M. (2008). Empirical influence of environmental management on innovation: Evidence from Europe. Ecological Economics. https://doi.org/10.1016/j.ecolecon.2007.10.001
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.