National specialization and diversification in the bioeconomy: Insights from biobased technologies in chemical and pharmaceutical sectors

Fischer, Lennart; Losacker, Sebastian; Wydra, Sven

doi:10.1016/j.techsoc.2024.102462

Cited by 3 publications

(2 citation statements)

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“…This dynamic nature often results in novel business models, cross-sector collaborations, and disruptive innovations that may not be adequately captured by existing statistical frameworks. These limitations are not only valid for measuring economic activities, but also for measuring innovation activities and knowledge generation where traditional indicators (e.g., patent data) also rely on statistical classifications that are not able to fully capture all parts of the bioeconomy (Fischer et al 2024, Losacker et al 2023b, Wydra 2020.…”

Section: Issues In Measuring the Bioeconomymentioning

confidence: 99%

“…Moreover, existing statistical frameworks, industry classifications and databases may lack comprehensive data on bioeconomy-related activities, making it difficult to obtain a complete and accurate picture. The multidimensional nature of the bioeconomy, spanning various sectors and encompassing both tangible and intangible elements, further complicates measurement efforts (Fischer et al 2024, Losacker et al 2023b, Ronzon et al 2017, Wydra 2020.…”

Section: Introductionmentioning

confidence: 99%

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Bioeconomy firms and where to find them

Kriesch,

Losacker

2024

REGION

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The bioeconomy represents a transformative approach to economic development and sustainability by harnessing biological resources and knowledge to produce goods, services, and energy while reducing dependence on non-renewable resources. In order to understand and support the bioeconomy, scholars and policymakers rely on an accurate measurement and monitoring of biobased economic activities. However, existing statistical frameworks and industry classifications often fall short in capturing the unique characteristics and complexities of the bioeconomy. This article addresses this challenge by developing a methodological approach for comprehensive measurement and mapping of biobased economic activities. We build a novel data set of bioeconomy firms in Germany using web-mining and machine learning techniques. This data set enables detailed analysis of biobased economic activities, providing valuable insights into the spatial organization of the bioeconomy. The paper demonstrates the applicability of the data set by testing several stylized facts about the bioeconomy. Our research contributes to a better understanding of the bioeconomy's regional impacts and offers a valuable resource for policymakers and researchers interested in understanding the geography of biobased economic activities. We make an aggregated version of the data set freely available online.

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Section: Issues In Measuring the Bioeconomymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bioeconomy firms and where to find them

Kriesch,

Losacker

2024

REGION

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Boosting the transition to biorefineries in compliance with sustainability and circularity criteria

Arias,

Estévez-Rivadulla,

Rebolledo-Leiva

et al. 2024

Journal of Environmental Chemical Engineering

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A global patent dataset of bioeconomy-related inventions

Kriesch,

Losacker

2024

Sci Data

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Many governments worldwide have proposed transitioning from a fossil-based economy to a bioeconomy to address climate change, resource depletion, and other environmental concerns. The bioeconomy utilizes renewable biological resources across all sectors and is strongly founded on scientific advances and technological progress. Given that the bioeconomy spans multiple sectors, industries, and technological fields, tracking it is challenging, and both policymakers and researchers lack a comprehensive understanding of the bioeconomy transition’s progress. We aim to solve this problem by providing a dataset on patents, a commonly used indicator to study the development of novel knowledge and technological change, that identifies bioeconomy-related inventions. We leverage the advanced semantic understanding embedded in pre-trained transformer models to identify bioeconomy-related patents based on patent abstracts, and we use a topic modelling approach to identify several coherent technological fields within the corpus of bioeconomy patents. The dataset can be linked to other patent databases and therefore provides rich opportunities to study the technological knowledge base of the bioeconomy.

show abstract

National specialization and diversification in the bioeconomy: Insights from biobased technologies in chemical and pharmaceutical sectors

Cited by 3 publications

References 74 publications

Bioeconomy firms and where to find them

Bioeconomy firms and where to find them

Boosting the transition to biorefineries in compliance with sustainability and circularity criteria

A global patent dataset of bioeconomy-related inventions

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