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Potential of the bioeconomy in Visegrad countries: An input-output approach

Authors: Ema Lazorcakova; Liesbeth Dries; Jack Peerlings; Jan Pokrivcak;

Potential of the bioeconomy in Visegrad countries: An input-output approach

Abstract

The EU has placed high priority on the expansion of the bioeconomy with the aim to reduce the use of non-renewable resources, to mitigate climate change, and to develop prospering local economies. However, only few Member States have defined quantitative economic or environmental targets for the bioeconomy in their policy strategies as measurement of the bioeconomy is not straightforward. This study uses an input-output analysis to quantify economic as well as environmental indicators for measuring the bioeconomy in the Visegrad countries (Slovakia, Czech Republic, Poland and Hungary). The current and the potential size of the bioeconomy are derived based on scenarios of minimum, medium and maximum association of partially bio-based goods with the bioeconomy. Our results suggest that currently the bioeconomy contributes 13% to the value of economic output, 10% to value added, 15% to total employment, and 20% to emissions of greenhouse gases in the Visegrad region (with a variation of 8 percentage points among individual countries). There is still potential for a transition towards a bioeconomy, especially in the production of textiles and wearing apparel, chemical products, pharmaceutical products, plastics, furniture, and energy where fossil-based inputs could be substituted by bio-based resources.

Countries
Netherlands, Czech Republic, Czech Republic
Keywords

Economic indicators, BioeconomyEconomic indicatorsEnvironmental indicatorsInput-output analysisVisegrad countries, Input-output analysis, Bioeconomy, Environmental indicators, Visegrad countries

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
hybrid