Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations
- Autores
- Leavy, Sebastian; Allegretti, Gabriela; Presotto, Elen; Montoya, Marco Antonio; Talamini, Edson
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Despite its relevance, measuring the contributions of the bioeconomy to national economies remains an arduous task that faces limitations. Part of the difficulty is associated with the lack of a clear and widely accepted concept of the bioeconomy and moves on to the connections between methods, data and indicators. The present study aims to define the concepts of bioeconomy and to explore the connections between concepts, methods, data, and indicators when measuring the bioeconomy economically and the limitations involved in this process. The bioeconomy concepts were defined based on a literature review and a content analysis of 84 documents selected through snowballing procedures to find articles measuring “how big is the bioeconomy?” The content of the 84 documents was uploaded to the Quantitative Data Analysis (QDA Miner) software and coded according to the bioeconomy concept, the methods or models used, the data sources accessed, the indicators calculated, and the limitations reported by the authors. The results of the occurrence and co-occurrence of the codes were extracted and analyzed statistically, indicating the following: the measurement of the bioeconomy (i) needs to recognize and pursue the proposed concept of a holistic bioeconomy; (ii) rarely considered aspects of a holistic bioeconomy (3.5%); (iii) is primarily based on the concept of biomass-based bioeconomy (BmBB) (94%); (iv) the association with the concept of biosphere (BsBB) appeared in 26% of the studies; (v) the biotech-based bioeconomy (BtBB) was the least frequent (1.2%); (vi) there is a diversity of methods and models, but the most common are those traditionally used to measure macroeconomic activities, especially input-output models; (vii) depending on the prevailing methods, the data comes from various official statistical databases, such as national accounts and economic activity classification systems; (viii) the most frequently used indicators are value added, employment, and Greenhouse Gases (GHG) emissions; (ix) there are various limitations related to the concept, methods and models, data, indicators, and others, like incomplete, missing, or lack of data, aggregated data, outdated data or databases, uncertainty of the estimated values, the subjectivity in the bio-shares weighting procedures, and other limitations inherent to methods and models. We conclude that current efforts only partially measure the contributions of the bioeconomy, and efforts should be encouraged toward a full assessment, starting by recognizing that the measurement of a holistic bioeconomy should be pursued.
EEA Pergamino
Fil: Leavy, Sebastián. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Agencia de Extensión Rural Vedia; Argentina
Fil: Leavy, Sebastián. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Cátedra de Comercialización Agropecuaria; Argentina
Fil: Leavy, Sebastián. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; Brasil
Fil: Allegretti, Gabriela. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; Brasil
Fil: Allegretti, Gabriela. Instituto Brasileño de Bioeconomía; Brasil
Fil: Allegretti, Gabriela. Universidad de Rio Verde. Administración de Empresas; Brasil
Fil: Presotto, Elen. Universidad de Brasilia. Facultad de Agronomía y Medicina Veterinaria; Brasil
Fil: Montoya, Marco Antonio. Universidad de Passo Fundo. Facultad de Economía, Gestión y Contabilidad. Grupo de Investigación en Economía y Gestión de Agronegocios; Brasil
Fil: Talamini, Edson. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; Brasil
Fil: Talamini, Edson. Instituto Brasileño de Bioeconomía; Brasil
Fil: Talamini, Edson. Universidade Federal do Rio Grande do Sul. Facultad de Economía. Departamento de Economía y Relaciones Internacionales; Brasil - Fuente
- Sustainability 16 (20) : 8727. (October 2024)
- Materia
-
Bioeconomía
Sistema Económico
Biotecnología
Bioeconomy
Economic Systems
Biotechnology
Holistic Bioeconomy
Bio-based Economy
Bioecology
Digitalization - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/21615
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Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitationsLeavy, SebastianAllegretti, GabrielaPresotto, ElenMontoya, Marco AntonioTalamini, EdsonBioeconomíaSistema EconómicoBiotecnologíaBioeconomyEconomic SystemsBiotechnologyHolistic BioeconomyBio-based EconomyBioecologyDigitalizationDespite its relevance, measuring the contributions of the bioeconomy to national economies remains an arduous task that faces limitations. Part of the difficulty is associated with the lack of a clear and widely accepted concept of the bioeconomy and moves on to the connections between methods, data and indicators. The present study aims to define the concepts of bioeconomy and to explore the connections between concepts, methods, data, and indicators when measuring the bioeconomy economically and the limitations involved in this process. The bioeconomy concepts were defined based on a literature review and a content analysis of 84 documents selected through snowballing procedures to find articles measuring “how big is the bioeconomy?” The content of the 84 documents was uploaded to the Quantitative Data Analysis (QDA Miner) software and coded according to the bioeconomy concept, the methods or models used, the data sources accessed, the indicators calculated, and the limitations reported by the authors. The results of the occurrence and co-occurrence of the codes were extracted and analyzed statistically, indicating the following: the measurement of the bioeconomy (i) needs to recognize and pursue the proposed concept of a holistic bioeconomy; (ii) rarely considered aspects of a holistic bioeconomy (3.5%); (iii) is primarily based on the concept of biomass-based bioeconomy (BmBB) (94%); (iv) the association with the concept of biosphere (BsBB) appeared in 26% of the studies; (v) the biotech-based bioeconomy (BtBB) was the least frequent (1.2%); (vi) there is a diversity of methods and models, but the most common are those traditionally used to measure macroeconomic activities, especially input-output models; (vii) depending on the prevailing methods, the data comes from various official statistical databases, such as national accounts and economic activity classification systems; (viii) the most frequently used indicators are value added, employment, and Greenhouse Gases (GHG) emissions; (ix) there are various limitations related to the concept, methods and models, data, indicators, and others, like incomplete, missing, or lack of data, aggregated data, outdated data or databases, uncertainty of the estimated values, the subjectivity in the bio-shares weighting procedures, and other limitations inherent to methods and models. We conclude that current efforts only partially measure the contributions of the bioeconomy, and efforts should be encouraged toward a full assessment, starting by recognizing that the measurement of a holistic bioeconomy should be pursued.EEA PergaminoFil: Leavy, Sebastián. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Agencia de Extensión Rural Vedia; ArgentinaFil: Leavy, Sebastián. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Cátedra de Comercialización Agropecuaria; ArgentinaFil: Leavy, Sebastián. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; BrasilFil: Allegretti, Gabriela. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; BrasilFil: Allegretti, Gabriela. Instituto Brasileño de Bioeconomía; BrasilFil: Allegretti, Gabriela. Universidad de Rio Verde. Administración de Empresas; BrasilFil: Presotto, Elen. Universidad de Brasilia. Facultad de Agronomía y Medicina Veterinaria; BrasilFil: Montoya, Marco Antonio. Universidad de Passo Fundo. Facultad de Economía, Gestión y Contabilidad. Grupo de Investigación en Economía y Gestión de Agronegocios; BrasilFil: Talamini, Edson. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; BrasilFil: Talamini, Edson. Instituto Brasileño de Bioeconomía; BrasilFil: Talamini, Edson. Universidade Federal do Rio Grande do Sul. Facultad de Economía. Departamento de Economía y Relaciones Internacionales; BrasilMDPI2025-03-11T11:11:14Z2025-03-11T11:11:14Z2024-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/21615https://www.mdpi.com/2071-1050/16/20/87272071-1050https://doi.org/10.3390/su16208727Sustainability 16 (20) : 8727. (October 2024)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:47:11Zoai:localhost:20.500.12123/21615instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:47:11.541INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations |
title |
Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations |
spellingShingle |
Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations Leavy, Sebastian Bioeconomía Sistema Económico Biotecnología Bioeconomy Economic Systems Biotechnology Holistic Bioeconomy Bio-based Economy Bioecology Digitalization |
title_short |
Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations |
title_full |
Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations |
title_fullStr |
Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations |
title_full_unstemmed |
Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations |
title_sort |
Measuring the bioeconomy economically : exploring the connections between concepts, methods, data, indicators and their limitations |
dc.creator.none.fl_str_mv |
Leavy, Sebastian Allegretti, Gabriela Presotto, Elen Montoya, Marco Antonio Talamini, Edson |
author |
Leavy, Sebastian |
author_facet |
Leavy, Sebastian Allegretti, Gabriela Presotto, Elen Montoya, Marco Antonio Talamini, Edson |
author_role |
author |
author2 |
Allegretti, Gabriela Presotto, Elen Montoya, Marco Antonio Talamini, Edson |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Bioeconomía Sistema Económico Biotecnología Bioeconomy Economic Systems Biotechnology Holistic Bioeconomy Bio-based Economy Bioecology Digitalization |
topic |
Bioeconomía Sistema Económico Biotecnología Bioeconomy Economic Systems Biotechnology Holistic Bioeconomy Bio-based Economy Bioecology Digitalization |
dc.description.none.fl_txt_mv |
Despite its relevance, measuring the contributions of the bioeconomy to national economies remains an arduous task that faces limitations. Part of the difficulty is associated with the lack of a clear and widely accepted concept of the bioeconomy and moves on to the connections between methods, data and indicators. The present study aims to define the concepts of bioeconomy and to explore the connections between concepts, methods, data, and indicators when measuring the bioeconomy economically and the limitations involved in this process. The bioeconomy concepts were defined based on a literature review and a content analysis of 84 documents selected through snowballing procedures to find articles measuring “how big is the bioeconomy?” The content of the 84 documents was uploaded to the Quantitative Data Analysis (QDA Miner) software and coded according to the bioeconomy concept, the methods or models used, the data sources accessed, the indicators calculated, and the limitations reported by the authors. The results of the occurrence and co-occurrence of the codes were extracted and analyzed statistically, indicating the following: the measurement of the bioeconomy (i) needs to recognize and pursue the proposed concept of a holistic bioeconomy; (ii) rarely considered aspects of a holistic bioeconomy (3.5%); (iii) is primarily based on the concept of biomass-based bioeconomy (BmBB) (94%); (iv) the association with the concept of biosphere (BsBB) appeared in 26% of the studies; (v) the biotech-based bioeconomy (BtBB) was the least frequent (1.2%); (vi) there is a diversity of methods and models, but the most common are those traditionally used to measure macroeconomic activities, especially input-output models; (vii) depending on the prevailing methods, the data comes from various official statistical databases, such as national accounts and economic activity classification systems; (viii) the most frequently used indicators are value added, employment, and Greenhouse Gases (GHG) emissions; (ix) there are various limitations related to the concept, methods and models, data, indicators, and others, like incomplete, missing, or lack of data, aggregated data, outdated data or databases, uncertainty of the estimated values, the subjectivity in the bio-shares weighting procedures, and other limitations inherent to methods and models. We conclude that current efforts only partially measure the contributions of the bioeconomy, and efforts should be encouraged toward a full assessment, starting by recognizing that the measurement of a holistic bioeconomy should be pursued. EEA Pergamino Fil: Leavy, Sebastián. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Agencia de Extensión Rural Vedia; Argentina Fil: Leavy, Sebastián. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Cátedra de Comercialización Agropecuaria; Argentina Fil: Leavy, Sebastián. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; Brasil Fil: Allegretti, Gabriela. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; Brasil Fil: Allegretti, Gabriela. Instituto Brasileño de Bioeconomía; Brasil Fil: Allegretti, Gabriela. Universidad de Rio Verde. Administración de Empresas; Brasil Fil: Presotto, Elen. Universidad de Brasilia. Facultad de Agronomía y Medicina Veterinaria; Brasil Fil: Montoya, Marco Antonio. Universidad de Passo Fundo. Facultad de Economía, Gestión y Contabilidad. Grupo de Investigación en Economía y Gestión de Agronegocios; Brasil Fil: Talamini, Edson. Universidad de Federal do Rio Grande do Sul. Centro de Estudios e pesquisas en Agronegocios. Grupo de investigación en Bioeconomía; Brasil Fil: Talamini, Edson. Instituto Brasileño de Bioeconomía; Brasil Fil: Talamini, Edson. Universidade Federal do Rio Grande do Sul. Facultad de Economía. Departamento de Economía y Relaciones Internacionales; Brasil |
description |
Despite its relevance, measuring the contributions of the bioeconomy to national economies remains an arduous task that faces limitations. Part of the difficulty is associated with the lack of a clear and widely accepted concept of the bioeconomy and moves on to the connections between methods, data and indicators. The present study aims to define the concepts of bioeconomy and to explore the connections between concepts, methods, data, and indicators when measuring the bioeconomy economically and the limitations involved in this process. The bioeconomy concepts were defined based on a literature review and a content analysis of 84 documents selected through snowballing procedures to find articles measuring “how big is the bioeconomy?” The content of the 84 documents was uploaded to the Quantitative Data Analysis (QDA Miner) software and coded according to the bioeconomy concept, the methods or models used, the data sources accessed, the indicators calculated, and the limitations reported by the authors. The results of the occurrence and co-occurrence of the codes were extracted and analyzed statistically, indicating the following: the measurement of the bioeconomy (i) needs to recognize and pursue the proposed concept of a holistic bioeconomy; (ii) rarely considered aspects of a holistic bioeconomy (3.5%); (iii) is primarily based on the concept of biomass-based bioeconomy (BmBB) (94%); (iv) the association with the concept of biosphere (BsBB) appeared in 26% of the studies; (v) the biotech-based bioeconomy (BtBB) was the least frequent (1.2%); (vi) there is a diversity of methods and models, but the most common are those traditionally used to measure macroeconomic activities, especially input-output models; (vii) depending on the prevailing methods, the data comes from various official statistical databases, such as national accounts and economic activity classification systems; (viii) the most frequently used indicators are value added, employment, and Greenhouse Gases (GHG) emissions; (ix) there are various limitations related to the concept, methods and models, data, indicators, and others, like incomplete, missing, or lack of data, aggregated data, outdated data or databases, uncertainty of the estimated values, the subjectivity in the bio-shares weighting procedures, and other limitations inherent to methods and models. We conclude that current efforts only partially measure the contributions of the bioeconomy, and efforts should be encouraged toward a full assessment, starting by recognizing that the measurement of a holistic bioeconomy should be pursued. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-10 2025-03-11T11:11:14Z 2025-03-11T11:11:14Z |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/20.500.12123/21615 https://www.mdpi.com/2071-1050/16/20/8727 2071-1050 https://doi.org/10.3390/su16208727 |
url |
http://hdl.handle.net/20.500.12123/21615 https://www.mdpi.com/2071-1050/16/20/8727 https://doi.org/10.3390/su16208727 |
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2071-1050 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
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MDPI |
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Sustainability 16 (20) : 8727. (October 2024) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) |
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INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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