Eco-innovation measurement: A review of firm performance indicators

García-Granero, Eva M.; Piedra‐Muñoz, Laura; Gómez, Emilio Galdeano

doi:10.1016/j.jclepro.2018.04.215

Cited by 169 publications

(142 citation statements)

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“…(4) Using (14) and (15) to normalize the matrix D, a standardized direct relation matrix is obtained:…”

Section: Using the Cloud Model-applying The Dematel Methods To Modify mentioning

confidence: 99%

“…. , 14), and each grade had a set of digital characteristics (Ex k ij , En k ij , and He k ij ). According to the questionnaire data and Equation 1, the semantic evaluation data for the ability of green innovation of enterprises A i (i = 1, 2, .…”

Section: Calculation Of Evaluation Value E(eij) Of Each Index B (Bi)mentioning

confidence: 99%

“…Thus, the design of systems for evaluating green technology innovation tends to be comprehensive and scientific, but most of them focus on evaluating the green technology innovation in a non-networked context, and some are based on the analysis of innovation output [11][12][13]. For example, according to Garcia Granero, evaluation indicators for green innovation capability include four types: product, process, organization, and marketing [14]. Anthonio (2009) et al divided innovation ability into three aspects: indirect performance, direct performance, and knowledge output [15].…”

Section: Introductionmentioning

confidence: 99%

“…According to the cloud distance measurement algorithm, after converting the above matrix to the cloud distance measurement matrix, the cloud distance measurement matrix could be standardized using to Equation (9). The cloud evaluation scale E* (0, 0.103, 0.016) was taken as the evaluation value of the reference cloud, and the relative importance of indices could be obtained using Equations (10)- (14), as shown in Table 8. The threshold value was 0.4629; the causality diagram is shown in Figure 4.…”

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confidence: 99%

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Research on the Evaluation of Green Innovation Capability of Manufacturing Enterprises in Innovation Network

Zhai

2020

Sustainability

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The aims of this paper are to objectively evaluate the green innovation ability of manufacturing enterprises in an innovation network and to consider the mutual influence relationship and information randomness of each evaluation index. To do so, 14 indicators were chosen to capture the innovation environment, input, and output, and to construct an evaluation index system. The cloud model method is used to express the evaluation information to assign a quantitative value to qualitative information, and this method is combined with the entropy method to determine the initial weight of the indices. Then, the cloud model and decision-making trial and evaluation laboratory (DEMATEL) method are combined to determine the final comprehensive weight of the indices, and the similarity between each value and ideal value is determined by the cloud distance measurement method and the grey correlation analysis method. Finally, the effectiveness and stability of this method and an accurate numerical method are verified in an empirical analysis that evaluates the green innovation ability of different enterprises. The results demonstrate the superiority of the evaluation system proposed in this paper, which can provide a theoretical basis for the evaluation of the green innovation ability of enterprises.

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“…(4) Using (14) and (15) to normalize the matrix D, a standardized direct relation matrix is obtained:…”

Section: Using the Cloud Model-applying The Dematel Methods To Modify mentioning

confidence: 99%

Section: Calculation Of Evaluation Value E(eij) Of Each Index B (Bi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Research on the Evaluation of Green Innovation Capability of Manufacturing Enterprises in Innovation Network

Zhai

2020

Sustainability

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“…Currently available literature on EI is quite elaborate. It mainly covers the following research areas: conceptualization of the phenomenon (Fussler and James, 1996;Rennings, 2000;OECD, 2011;Vallet et al, 2016;Veugelers, 2016) identification of factors and barriers to eco-innovation (Kemp and Pearson, 2008;Huang et al, 2017;Bendell, 2017;Cai and Li, 2018), methods of measurement and assessment of eco-innovation levels (Kemp and Pearson, 2008;Kobryń and Prystrom, 2017;García-Granero, 2018), and effects of eco-innovation processes, including impact on competitiveness at different levels of management (Kasztelan and Kijek, 2015;Range and Sandberg, 2016;Braungardt et al, 2016).…”

Section: Eco-innovation and Green Growth -What Do We Know So Far?mentioning

confidence: 99%

Are Eco-Innovations a Key Element for Green Growth?

Kasztelan¹,

Kijek²,

Kijek³

et al. 2020

ERSJ

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Purpose: In the recent decade, the so-called green growth (GG) concept has made a significant contribution to many-years' debate on sustainable development (SD). One of its key pillars is eco-innovation (EI), however little information is available on whether and to what extent eco-innovation can be actually perceived as a significant factor for implementing green growth. For this reason, the aim of this paper is to clarify and synthesise findings at the intersection of these two fields: eco-innovation and the green growth processes. Design/Methodology/Approach: The paper provides a special insight into the relationship between EI and GG incorporating the spatial dimension into analysis. The empirical part is based on the sample of 21 European countries. Findings: The rests of spatial panel models show that there exist positive effects of investing in eco-innovations on green growth. However, these results involve strong nonlinearities and threshold effects. The obtained results shed a new light on the uncovering relevant aspects and complexities of eco-innovations and green growth. Practical Implications: These results suggest that the policy-makers should mainly focus on stimulating the companies to introduce eco-innovations aiming at a reduction of material input and energy per unit output as well as an improvement of eco-management practices. Government incentives for green technology and organizational solutions may include a combination of subsidies and tax incentives. Originality/Value: This study is the first one which includes different measures of ecoinnovations and relates them to the green growth process. These measures allow us portray the countries' eco-innovation efforts from input, process, and output perspectives.

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How environmental innovation influences firm performance: A meta‐analytic review

2020

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Coupled with the increasing concern toward sustainability and sustainable development issues, environmental innovation practices have been of burgeoning interest among both scholars and practitioners. Building on this, the main purpose of this study is to quantitatively aggregate the extant empirical research on eco‐innovation and firm performance and to assess the role of moderating factors in this theoretical relationship by pursuing a meta‐analytic approach. To serve this objective, 196 effects based upon 70 studies including more than 25,000 firms (N = 25,412) were meta‐analytically examined. Quantitative evidence drawn from the meta‐analysis indicates that organizational eco‐innovation exerts the strongest influence on firm performance. Moreover, the meta‐analytic findings suggest that significant variations in the correlation between eco‐innovation and firm performance exist across different performance types, and the magnitude of the eco‐innovation–firm performance association is stronger in developing compared with developed countries. This meta‐analytic review is expected to considerably contribute to the pertinent literature by means of improving the understanding of the relevance of eco‐innovation typology to firm performance.

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Eco-innovation measurement: A review of firm performance indicators

Cited by 169 publications

References 100 publications

Research on the Evaluation of Green Innovation Capability of Manufacturing Enterprises in Innovation Network

Research on the Evaluation of Green Innovation Capability of Manufacturing Enterprises in Innovation Network

Are Eco-Innovations a Key Element for Green Growth?

How environmental innovation influences firm performance: A meta‐analytic review

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