AnalysisDrivers of different types of eco-innovation in European SMEs☆
Introduction
Eco-innovation is defined as innovation which benefits the environment and contributes to environmental sustainability (Rennings, 2000). “Eco-innovation can be identified by its favourable impact on the environment … It applies to goods, services, manufacturing processes or business models” (OECD, 2011a p.29). Firms in developed countries are increasingly aware on the potential benefits from improved environmental performance and the European Commission has adopted an action plan on sustainable production and consumption in the context of the Lisbon Strategy (2008). A more recent European programme, more strictly focused on eco-innovation, namely the Eco-Innovation Action Plan (EcoAP) pursues also reducing pressure on the environment through innovation within the framework of the Europe 2020 strategy (COM, 2011). The plan will help to mobilize financial instruments and support services for small and medium-sized enterprises (SMEs) to improve investment readiness and networking opportunities related to eco-innovation. These facts increase the need to understand what drives SMEs to actually implement environmental innovation.
There are plenty of empirical studies on drivers of eco-innovation, which include internal and external to the firm factors (Belin et al., 2011, Cainelli et al., 2011, Horbach, 2008, Kemp and Arundel, 1998, Rennings, 2000, Rennings and Zwick, 2002). But, as far as we know, only few studies distinguish across the particular drivers of the three different types of eco-innovation delimited by Oslo's Manual OECD (2005): process, product and organizational (Horbach et al. (2012), Frondel et al. (2007), Del Rio (2005), amongst others). Although the most frequent distinction is between cleaner technologies and end-of-pipe (EOP) technologies, we adopt this multi-faceted definition of eco-innovation. Despite it is claimed that both classifications are unclear and simplistic (Del Río, 2009), the Oslo Manual division succeeds to sufficiently stress the importance of analysing eco-innovation activities under an evolutionary perspective. Applying such broad concept allows to identify eco-innovators, both strategic and passive ones.1 Cross-country analyses of eco-innovation at the firm-level are scarce (examples are Rennings and Zwick (2002); Wagner (2008) and Johnstone and Labonne (2009)). We deploy data from for 27 European countries withdrawn from a specific Eurobarometer survey.
This paper contributes to previous literature in several ways: we address three different dimensions of eco-innovation: eco-product, eco-process and eco-organizational. More particularly, it tests differences in the effect of a given set of explanatory variables on the probabilities of each type of eco-innovation. Secondly, we explicitly take into account the interdependency of decisions on the several kinds of innovation by estimating a multivariate probit model. Third, we use a novel EU-wide dataset (Flash Eurobarometer survey #315) which allows for the provision of cross-country comparisons. Finally, we consider cross-sector specific effects which proxy sector-level driving factors influencing the eco-innovation decisions.
The paper is organized as follows: Section 2 describes the theoretical framework to draw hypotheses on specific determinants of eco-innovation. In Section 3 the data and methodology are presented. Section 4 presents and discusses the main results of the econometric model. Finally, Section 5 concludes.
Section snippets
Theoretical Framework
Methodological pluralism as established in ecological economics is argued to be very beneficial for eco-innovation research (Del Río, 2009). Accordingly, we integrate elements both from neoclassical and environmental approaches in order to consider potential factors influencing decisions on eco-innovation. Our aim is to explore potential mechanisms explaining different types of eco-innovation, which may yield new insights on the drivers of environmental innovation at the firm-level. Similarly
Material and Methods
In order to assess the link between environmental innovation decisions and drivers of such we used data collected through interviews to individual companies in the Flash Eurobarometer survey #315 (Attitudes of European Entrepreneurs Towards Eco-innovation) from the European Commission. This survey was launched to 5222 managers of SMEs in the 27 EU Member States between January and February 2011 (European Commission, 2011). The questionnaire defines eco-innovation as the introduction of any new
Results and Discussion
Table 3 presents the results of the trivariate probit model on self-reported environmental innovation activities. Column 1 reports the results for ecoproduct, Column 2 displays the specification for ecoprocess and Column 3 shows the specification for ecoorganiz. At the end of the table the reader may find the three pairwise correlation coefficients across equation errors.
Entrepreneurs who value increasing or stable market share as very important drivers of innovation report a higher probability
Conclusions
This paper explores the drivers of different types of eco-innovation in European SMEs using the Flash Eurobarometer survey #315. We investigate the influence of several factors as drivers of environmental innovation taking into account the theoretical framework built on neoclassical and evolutionary approaches and contemplate the possibility that the influence of several factors differs across types of eco-innovation and certain unobserved factors simultaneously affecting all of them. The
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The authors acknowledge the comments made by two anonymous referees.