Firm technological trajectory as a driver of eco-innovation in young small and medium-sized enterprises

Sáez‐Martínez, Francisco J.; Díaz-García, Cristina; Moreno, Ángela González

doi:10.1016/j.jclepro.2016.04.108

Cited by 90 publications

(61 citation statements)

References 37 publications

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“…This paper has several implications for firms, scholars and public policy‐makers. On the one hand, regarding the applicability of the empirical findings, this study confirms the finding of Sáez‐Martínez, Díaz‐García, and González‐Moreno (, ) who argued that firms should consider the effect of their technological trajectory on EI, as the “technology push” determinant is, in general terms, the most highly correlated with EI adoption. On the other hand, from the scholars’ perspective, the present study contributes to the literature as it reviews and sheds light on whether and the extent to which the determinants of a firm's EI have an effect in stimulating EI.…”

Section: Discussion and Concluding Remarkssupporting

confidence: 86%

Shedding light on the determinants of eco‐innovation: A meta‐analytic study

2018

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In the past decade a stream of studies has analyzed the determinants of eco‐innovation. Four main clusters of drivers have been identified in the literature: “technology push,” “market pull,” “regulatory push‐pull,” and “firm specific factors.” Nevertheless, the empirical quantitative and comparative analysis of those clusters is rare, scattered and inconclusive. This article aims to fill this gap by analyzing the determinants of eco‐innovation on the basis of a meta‐analytic study of quantitative empirical studies published over the period 2006 to 2017—a meta‐analysis which accounts for a total of 211,123 firms. The findings show that firms with collaborative networks and/or more environmental concern are more prone to eco‐innovate, emphasizing the role of “technology push” as the main cluster of determinants, regardless of whether a typology of eco‐innovation is included as a moderator in the meta‐analysis. Based on the results of the meta‐analytic study, the paper discusses several courses of action to foster eco‐innovation and achieve environmental benefits.

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Section: Discussion and Concluding Remarkssupporting

confidence: 86%

Shedding light on the determinants of eco‐innovation: A meta‐analytic study

2018

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“…Another area of study is related to eco-innovation drivers, for which different authors have advanced knowledge significantly in the last decade. Among the identified variables that favor and guide eco-innovation are: firms' technological trajectory (Sáez-Martínez, Díaz-García, & Gonzalez-Moreno, 2016), collaboration with research institutions (Triguero, Moreno-Mondéjar, & Davia, 2013), demand factors (Cai & Zhou, 2014), and environmental regulations and firms' internal organizational capabilities (Bossle, de Barcellos, Vieira, & Sauvée, 2016;Kesidou & Demirel, 2012). Smith and Crotty (2008) named environmental regulations as driving eco-innovation in the UK automobile sector, while regulatory and internal pressures have also been identified by Zhu, Sarkis, and Lai (2007) and Lin et al (2013) as causative variables for greening the automobile supply chain.…”

Section: Background Theory and Hypothesis Developmentmentioning

confidence: 99%

How past decisions affect future behavior on eco‐innovation: An empirical study

Peiró-Signes

Segarra‐Oña

2018

Bus Strat Env

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The environment is increasingly gaining importance for citizens and society and, therefore, for consumers. Eco‐innovation is a direct path for reducing the impact of production while providing companies with a source of competitive advantage. The automotive industry and its supply chain have a great impact on the environment, but no research has been developed on how the orientation toward the environment is evolving for the automotive industry and how future performance may be affected by current decisions. The aim of this paper is to bridge this gap by analyzing the eco‐innovative dynamism of the automobile industry. To do this, we use a panel analysis to see the point at which past behavior influences future decisions. The partial least square method is used to analyze the eco‐innovative dynamism of the automobile industry. We analyze a data set based on 159 responses of Spanish companies that belong to the automobile sector. Results show that environmental orientation drivers do not evolve over a short period while in the longer term there is an evolution. We prove that carryover effects have a great impact on the future behavior of the firms, showing that the evolution of organizations' environmental behavior is a long‐range consideration. Managerial implications arise from this paper's conclusions, as the decision‐making process is clarified.

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“…Schumpeter Mark II) than standard ones and translate economic returns into higher growth opportunities. Given the irreversibility of complying with environmental regulations, investing in green-specific assets and acquiring internal/external green knowledge (Oltra and Saint Jean 2009;Mazzanti and Rizzo 2017) and environmental technologies have actually been found to lead to more persistent (eco-) innovation practices and outcomes than standard technologies, with greater opportunities of increasing returns (see Sàez-Martínez et al 2016;Chassagnon and Haned 2015).…”

Section: Background Literature and Research Questionsmentioning

confidence: 99%

‘Better late than never’: the interplay between green technology and age for firm growth

et al. 2017

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This paper investigates the relationship between green/non-green technologies and firm growth. By combining the literature on eco-innovations, industrial organisation and entrepreneurial studies, we examine the dependence of this relationship on the pace at which firms grow and the age of the firm. From a dataset of 5498 manufacturing firms in Italy for the period of 2000-2008, longitudinal fixed effects quantile models are estimated, in which the firm's age is set to moderate the effects of green and non-green patents on employment growth. We find that the positive effect of green technologies on growth is greater than that of non-green technologies. However, this result does not apply to struggling and rapidly growing firms. With fast-growing (above the median) firms, age moderates the growth effect of green technologies. Inconsistent with the extant literature, this moderation effect is positive: firm experience appears important for the growth benefits of green technologies, possibly relative to the complexity of their management.

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Firm technological trajectory as a driver of eco-innovation in young small and medium-sized enterprises

Cited by 90 publications

References 37 publications

Shedding light on the determinants of eco‐innovation: A meta‐analytic study

Shedding light on the determinants of eco‐innovation: A meta‐analytic study

How past decisions affect future behavior on eco‐innovation: An empirical study

‘Better late than never’: the interplay between green technology and age for firm growth

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