Modelling Of Eco-innovation Diffusion: The EU Eco-label

Authors

  • Tomasz Kijek University of Life Sciences in Lublin, Department of Economics and Agribusiness

DOI:

https://doi.org/10.1515/cer-2015-0004

Keywords:

eco-labe, eco-innovation, innovation diffusion, Bass model

Abstract

The aim of this article is to carry out a theoretical and empirical analysis of the process of eco-label diffusion. Eco-labels allow consumers to identify products and services that have a reduced environmental impact during their life cycle. Thus, they are aimed at diminishing the information gap between sellers and buyers. The results of the estimation using the Bass model indicate that the diffusion of the EU eco-label has been most dynamic in countries such as Hungary, Poland, Denmark, Germany and France. In turn, the scope of diffusion (absolute saturation level) reached the highest value for companies in France and Italy. In addition, the results of the study confirm the stimulating impact of the scope of eco-label diffusion on consumer awareness of environmental issues. This finding points to the need for environmental education among consumers, which could in turn encourage firms to undertake pro-environmental actions.

Downloads

Download data is not yet available.

References

Attitudes of European citizens towards the environment. ec.europa.eu/public_opinion/archives/ebs/ebs_365_pres_en.pdf (05.05.2014).
Google Scholar

Attitudes of European entrepreneurs towards eco-innovation. Analytical report. (05.05.2014).
Google Scholar

Bass F.M. (1969), A New Product Growth Model for Consumer Durables, ‘Management Science’, vol. 15. doi: 10.1287/mnsc.15.5.215
Google Scholar

Cainelli G., Mazzanti M., Zoboli, R. (2011), Environmental innovations, complementarity and local/global cooperation: evidence from North-East Italian industry, ‘International Journal of Technology, Policy and Management’, vol. 11, no. ¾.
Google Scholar

Crespi J.M., Marette S. (2005), Eco-Labelling Economics: Is Public Involvement Necessary, [in:] Krarup S., Russell C.S. (eds) Environment, Information and Consumer Behaviour, Edward Elgar, Cheltenham.
Google Scholar

Eco-innovation in France. www.eco-innovation.eu/France (17.04.2014).
Google Scholar

Eco-innovation in Hungary. www.eco-innovation.eu/Hungary (17.04.2014).
Google Scholar

Eco-innovation in Italy. www.eco-innovation.eu/Italy (17.04.2014).
Google Scholar

Eco-innovation in Poland. www.eco-innovation.eu/Poland (17.04.2014).
Google Scholar

Griliches Z. (1957), Hybrid Corn: An Exploration of the Economics of Technological Change, ‘Econometrica’, vol. 25. doi: 10.2307/1905380
Google Scholar

Hall B. (2004), Innovation and Diffusion, NBER, Cambridge.
Google Scholar

Horne R.E. (2009), Limits to labels: The role of eco-labels in the assessment of product sustainability and routes to sustainable consumption, ‘International Journal of Consumer Studies’, vol. 33.
Google Scholar

ISO (1999), Environmental Labels and Declarations – Self-declared Environmental Claims (Type II Environmental Labelling) (ISO 14021: 1999), Own Publication, Geneva.
Google Scholar

ISO (2000), Environmental Labels and Declarations – Type I Environmental Labelling – Principles and Procedures (ISO 14024: 1999), Own Publication, Geneva.
Google Scholar

ISO (2007), Environmental Labels and Declarations – Type III Environmental Declarations–Principles and Procedures (ISO 14025: 2007), Own Publication, Geneva.
Google Scholar

Katz E., Levin M.L., Hamilton H. (1963), Traditions of research on the diffusion of innovation, ‘American Sociological Review’, vol. 28, no. 2. doi: 10.2307/2090611
Google Scholar

Kemp R., Pearson P., Measuring eco-innovation, European Commission, Brussels 2008.
Google Scholar

Kenzo A., Higashida K., Ishikawa J. (2002), Eco-labelling, Environment, and International Trade, [in:] Robert Stern (ed.) Issues and Options for U.S.-Japan Trade Policies, Ann Arbour: University of Michigan Press, Michigan.
Google Scholar

Kijek A., Kijek T. (2010), Modelling of innovation diffusion, ‘Operations Research and Decisions’, no. ¾.
Google Scholar

Mahajan V., Muller E., Bass, F.M. (1990), New product diffusion models in marketing: A review and directions for research, ‘Journal of Marketing’, vol. 54, no. 1. doi: 10.2307/1252170
Google Scholar

Mansfield E. (1971) Technological Change: An Introduction to a Vital Area of Modern Economics, W.W. Norton & Company Inc., New York.
Google Scholar

Mehamli A. (2013), Determinants of Environmental Product Innovation in the Detergent and Maintenance Sector: Application for the European Ecolabel Certification, ‘International Business Research’, vol. 6, no. 2.
Google Scholar

OECD (1991), Environmental Labelling in OECD Countries, OECD Publishing, Paris.
Google Scholar

OECD (2009), Sustainable Manufacturing and Eco-Innovation. Framework, Practices and Measurement, OECD Publishing, Paris.
Google Scholar

OECD (2010), Consumer Policy Toolkit, OECD Publishing, Paris.
Google Scholar

OECD (2011), Fostering Innovation for Green Growth, OECD Publishing, Paris.
Google Scholar

Ottman J., Stafford E., Hartman C. (2006), Avoiding green marketing myopia: ways to improve consumer appeal for environmentally preferable products, ‘Environment’, vol. 48, no. 5.
Google Scholar

Piotrowski R., Kratz S. (1999), Eco-Labelling in the Globalised Economy, ‘International Politics and Society’, vol. 4.
Google Scholar

Popp D., Newell R.G., Jaffe A.B. (2010), Energy, the environment, and technological change, [in:] Bronwyn Hall and Nathan Rosenberg (eds) Handbook of the Economics of Innovation, North-Holland, Amsterdam.
Google Scholar

Rennings K. (2000) Redefining innovation — eco-innovation research and the contribution from ecological economics, ‘Ecological Economics’, vol. 32, issue 2. doi: 10.1016/S0921-8009(99)00112-3
Google Scholar

Rogers E.M. (2003), Diffusion of Innovations, The Free Press, New York.
Google Scholar

Ryan B., Gross N. (1943), The Diffusion of Hybrid Seed Corn in two Iowa Communities, ‘Rural Sociology’, vol. 8.
Google Scholar

Srinivasan V., Mason C.H. (1986), Nonlinear least squares estimation of new product diffusion models, ‘Marketing Science’, vol. 5. doi: 10.1287/mksc.5.2.169
Google Scholar

Stoneman P. (2002), The Economics of Technological Diffusion, Blackwell, Oxford.
Google Scholar

Stoneman P., Battisti G. (2010), The diffusion of new technology, [in:] Hall B.H., Rosenberg N. (eds), Handbook of the Economics of Innovation, Amsterdam, Elsevier.
Google Scholar

Stoneman P., Diederen P. (1994), Technology Diffusion and Public Policy, ‘Economic Journal’, vol. 104, no. 425. doi: 10.2307/2234987
Google Scholar

USEPA (1993), Status Report on the Use of Environmental Labels Worldwide, Office of Pollution Prevention and Toxics, Washington.
Google Scholar

Wysokińska Z. (2013), Transition To A Green Economy In The Context Of Selected European And Global Requirements For Sustainable Development, ‘Comparative Economic Research’, vol.16, issue 4.
Google Scholar

Zhang T., Gensler S., Garcia R. (2011), A Study of the Diffusion of Alternative Fuel Vehicles: An Agent-Based Modeling Approach, ‘Journal of Product Innovation Management’, vol. 28.
Google Scholar

Karakaya E., Hidalgo A. Nuur C. (2014), Diffusion of eco-innovations: A review, ‘Renewable and Sustainable Energy Reviews’, vol. 33.
Google Scholar

Downloads

Published

2015-03-20

How to Cite

Kijek, T. (2015). Modelling Of Eco-innovation Diffusion: The EU Eco-label. Comparative Economic Research. Central and Eastern Europe, 18(1), 65–79. https://doi.org/10.1515/cer-2015-0004

Issue

Section

Articles