Bioeconomy credentials and intellectual capital: a comparative modelling approach for the E.U.-13 and E.U.-15

Anghel, Ion; Siminică, Marian; Cristea, Mirela; Noja, Grațiela Georgiana; Sichigea, Mirela

doi:10.1080/1331677x.2019.1653212

Cited by 9 publications

(9 citation statements)

References 26 publications

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“…Countries like Finland and Sweden, with a high level of intellectual capital (a large proportion of the population with tertiary education and a higher government budget on R&D) generates benefits on the development of biorefineries. Our findings corroborate with the previous study that intellectual capital has positive implications on bioeconomy development among the European countries and there is evidence that tertiary education has a major importance on the bioeconomy, while public financial support for R&D generates positive bioeconomy outcomes [38]. In addition, a lower government budget on R&D could generate constraints on the development of biorefineries [10].…”

Section: Discussionsupporting

confidence: 91%

“…These factors indicate the importance of intellectual capital for bioeconomy development. Anghel et al [38] conclude that intellectual capital plays a role in promoting bioeconomy transition, particularly for biomass transformation.…”

Section: Intellectual Capital For Bioeconomy Developmentmentioning

confidence: 99%

“…The representative indicators on Intellectual capital: we classified the intellectual capital on education attainment and R&D spending as indicated by [38]. Thus, they are persons with tertiary education (EDU_Tert) (level 5-9), from age 15-64 years, measured % of the population and average R&D expenses (RD_Exp) measured by % of GDP from 2010 to 2019 among the cases.…”

Section: Bioeconomy Strategies and Initiatives Across Different Levelsmentioning

confidence: 99%

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Development of Biorefineries in the Bioeconomy: A Fuzzy-Set Qualitative Comparative Analysis among European Countries

Ding

Grundmann

2021

Sustainability

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This study aims to identify the configurational conditions that characterize the establishment of biorefineries in 20 European countries. After determining the conditions which support a bioeconomy transition, secondary data from national sources are used to represent their existing conditions within respective countries. Then, a fuzzy-set qualitative comparative analysis is employed to compare and contrast the effect of varying combinations of the selected conditions on the development of biorefineries. The conditions chosen include coherent bioeconomy strategies, network intensity of regional bioclusters, intellectual capital, and natural resource availability. Our results reveal that the configuration of a coherent bioeconomy strategy, sizable public spending on R&D, abundant biomass supply, and a high level of network intensity is sufficient to explain the pronounced biorefineries development among some European countries. We recommend that countries with fragmented approaches review and redesign the policy and regulatory framework to create a holistic and consistent bioeconomy strategy, taking into account the configurations of conditions as an important prerequisite. In particular, factors such as the lack of best practice examples, the low level of public spending on research and development, the economic capacities for a skilled workforce in addition to the sustainable supply of raw materials should be addressed as focal points.

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Section: Discussionsupporting

confidence: 91%

Section: Intellectual Capital For Bioeconomy Developmentmentioning

confidence: 99%

Section: Bioeconomy Strategies and Initiatives Across Different Levelsmentioning

confidence: 99%

See 1 more Smart Citation

Development of Biorefineries in the Bioeconomy: A Fuzzy-Set Qualitative Comparative Analysis among European Countries

Ding

Grundmann

2021

Sustainability

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“…SEM combines the advantage of analysis of variance, regression, and factor analysis, extending them with the possibility of modeling cause-and-effect relationships using latent variables (Garson 2015;Brown and Moore 2012;OECD 2008). Any researcher using SEM may identify indirect, direct, and total independencies between variables, both latent and observed variables, and between all specified variables (Garson 2015;Anghel et al 2019). Hoyle (2012), Kline (2011), andStataCorp (2017) provide very broad and valuable descriptions of SEM and different SEM models, while Garson (2015) discusses the many advantages of SEM.…”

Section: Methodsmentioning

confidence: 99%

What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland

Borychowski

Grzelak

Popławski

2021

Environ Sci Pollut Res

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Because of global environmental problems, low-carbon agriculture has gained increasing importance both in developed and developing countries. Hence, there is a need to find ways to develop more efficient agricultural systems. The purpose of this article is to identify the drivers of low-carbon agriculture on farms in the Wielkopolska region (in Poland). We aimed to take an original approach to investigate low-carbon agriculture with a unique set of different economic and environmental variables and contribute to the literature, which is not very extensive in terms of microeconomic research, including research on farmers in the Wielkopolska region. Therefore, we employed a multiple-factor measurement model for structural equation modeling (SEM) of data collected individually from 120 farms in 2020. As a result, we formulated the following conclusions: the increasing productivity of factors (land, labor, and capital) have a positive effect on low-carbon farming, just as increasing fertilizer and energy efficiency. Moreover, thermal insulation is also important for low-carbon agriculture, with efficiency of fertilizer use being the most important factor. We believe that the issues of farm use of fertilizers and thermal insulation of buildings should be more broadly included in energy policy, both at the national and the European Union (EU) levels. Some of these factors however are already present in the common agricultural policy (CAP) for 2021–2027.

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“…Intellectual capital gained through the knowledge-based bioeconomy became crucial for the development agenda of the European Union [2]. Therefore, the implementation of bioeconomy in Europe will be in a short loop with education and research [3]- [6]. The successful ____________________________________________________________________________ 2020 / 24 150 development of bioeconomy requires new skills from graduates of higher education based on revised model of intellectual improvement and knowledge-based technology innovation [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Education for Advancing the Implementation of the Bioeconomy Goals: An Analysis of Master Study Programmes in Bioeconomy

Pubule

Blumberga

Rozakis

et al. 2020

Environmental and Climate Technologies

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Bioeconomy in Europe has become one of the leading courses for sustainable and resource-efficient development. Main aspects of bioeconomy: development of new technologies and processes, development of markets and competitiveness for bioeconomy can be implemented through higher education and transformative knowledge for building a sustainable bioeconomy. Over the past year, new bioeconomy-related Master study programmes have been created and have integrated bioeconomy goals into their research, programme aims and learning outcomes. During the research the set of competences based on sustainable development competences and bioeconomy competences have been created. The integration of competences for bioeconomy development in higher education can be seen as an important step in transformation towards knowledge-based bioeconomy. On this basis, 10 Master study programmes across Europe were analysed in order to find out the actual integration of competences in different study programmes for bioeconomy. Results of the analysis show that transdisciplinary competence, learning competence, interdisciplinary competence and system-thinking competence are strongly integrated into the study programmes. The analysis also shows that the integration of other competences, like anticipatory competence, normative competence, strategic competence and interpersonal competence can be improved in the future.

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Bioeconomy credentials and intellectual capital: a comparative modelling approach for the E.U.-13 and E.U.-15

Cited by 9 publications

References 26 publications

Development of Biorefineries in the Bioeconomy: A Fuzzy-Set Qualitative Comparative Analysis among European Countries

Development of Biorefineries in the Bioeconomy: A Fuzzy-Set Qualitative Comparative Analysis among European Countries

What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland

Education for Advancing the Implementation of the Bioeconomy Goals: An Analysis of Master Study Programmes in Bioeconomy

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