Dataset Information

Multidimensional Assessment of Eco-Innovation Implementation: Evidence from Spanish Agri-Food Sector.

ABSTRACT: Understanding eco-innovation is an essential endeavor to achieve global sustainable development. In this sense, further research on implementation is needed to expand knowledge beyond current boundaries. The aim of this paper is to contribute to this debate by conducting an original multidimensional analysis using Spanish agri-food sector data. The empirical methodology applies a combination of descriptive statistics, cluster analysis and the chi-squared test. Two groups of well-differentiated eco-innovative firms are identified, those with high and low eco-innovation implementation levels. Quality certifications, environmental consulting and cooperation with stakeholders are the variables that contribute most to distinguishing these two groups. The results also reveal that operating income volume, number of employees and commercialization volume are key factors to become more eco-innovative. In this sense, larger firms are found to have a higher level of eco-innovation implementation than small- and medium-sized enterprises. The main contributions of this work are fourfold. Firstly, it presents a comprehensive framework of eco-innovation implementation in its four dimensions (product, process, organizational and marketing). Secondly, it fills existing gaps in the literature by analyzing green organizational and marketing eco-practices. Thirdly, it expands the sectorial scope of eco-innovation research primarily focused on high-tech sectors. Finally, this study makes it possible to design certain policies for public and private decision makers.

SUBMITTER: Garcia-Granero EM

PROVIDER: S-EPMC7068462 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Multidimensional Assessment of Eco-Innovation Implementation: Evidence from Spanish Agri-Food Sector.

García-Granero Eva M EM Piedra-Muñoz Laura L Galdeano-Gómez Emilio E

International journal of environmental research and public health 20200223 4

Understanding eco-innovation is an essential endeavor to achieve global sustainable development. In this sense, further research on implementation is needed to expand knowledge beyond current boundaries. The aim of this paper is to contribute to this debate by conducting an original multidimensional analysis using Spanish agri-food sector data. The empirical methodology applies a combination of descriptive statistics, cluster analysis and the chi-squared test. Two groups of well-differentiated e ...[more]

PMID: 32102209

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Project description:BackgroundResponsible innovation in health (RIH) emphasizes the importance of developing technologies that are responsive to system-level challenges and support equitable and sustainable healthcare. To help decision-makers identify whether an innovation fulfills RIH requirements, we developed and validated an evidence-informed assessment tool comprised of 4 inclusion and exclusion criteria, 9 assessment attributes and a scoring system.MethodsWe conducted an inter-rater reliability assessment to establish the extent to which 2 raters agree when applying the RIH Tool to a diversified sample of health innovations (n=25). Following the Tool's 3-step process, sources of information were collected and cross-checked to ensure their clarity and relevance. Ratings were reported independently in a spreadsheet to generate the study's database. To measure inter-rater reliability, we used: a non-adjusted index (percent agreement), a chance-adjusted index (Gwet's AC) and the Pearson's correlation coefficient. Results of the Tool's application to the whole sample of innovations are summarized through descriptive statistics.ResultsOur findings show complete agreement for the screening criteria, "almost perfect" agreement for 7 assessment attributes, "substantial" agreement for 2 attributes and "almost perfect" agreement for the RIH overall score. A large portion of the sample obtained high scores for 6 attributes (health relevance, health inequalities, responsiveness, level and intensity of care and frugality) and low scores for 3 attributes (ethical, legal, and social issues [ELSIs], inclusiveness and eco-responsibility). At the rating step, 88% of the innovations had a sufficient number of attributes documented (≥ 7/9), but the assessment was based on sources of moderate to high quality (mean score ≥ 2 points) for 36% of the sample. While "Almost all RIH features" were present for 24% of the innovations (RIH mean score between 4.1-5.0 points), "Many RIH features" were present for 52% of the sample (3.1-4.0 points) and "Few RIH features" were present for 24% of the innovations (2.1-3.0 points).ConclusionBy confirming key aspects of the RIH Tool's reliability and applicability, our study brings its development to completion. It can be jointly put into action by innovation stakeholders who want to foster innovations with greater social, economic and environmental value.

Dataset Information

Multidimensional Assessment of Eco-Innovation Implementation: Evidence from Spanish Agri-Food Sector.

Publications

Multidimensional Assessment of Eco-Innovation Implementation: Evidence from Spanish Agri-Food Sector.

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