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BioSAMs for the EU Member States: Constructing Social Accounting Matrices with a detailed disaggregation of the bio-economy

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The bio-based economy will be crucial in achieving sustainable development, covering all ranges of natural resources. In this sense, it is very relevant to analyse the economic links between the bioeconomic sectors and the rest of the economy, determining their total and decomposed impact on economic growth. One of the major problems in carrying out this analysis is the lack of information and complete databases that allow analysis of the bioeconomy and its effects on other economic activities. To overcome this issue, highly disaggregated (in biobased and agriculture sectors) Social Accounting Matrices of the 28 European Union member states (and one EU28 aggregate) have been estimated. This report presents this set of Social Accounting Matrices, called BioSAMs, describing its specific structure and the basis for its estimation.

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  • Alfredo J. Mainar Causape & George Philippidis & Arnaldo Caivano, 2018. "BioSAMs for the EU Member States: Constructing Social Accounting Matrices with a detailed disaggregation of the bio-economy," JRC Research Reports JRC111812, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc111812
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    1. Defourny, Jacques & Thorbecke, Erik, 1984. "Structural Path Analysis and Multiplier Decomposition within a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 94(373), pages 111-136, March.
    2. Marc Mueller & Ignacio Perez Dominguez & Stephan Gay, 2009. "Construction of Social Accounting Matrices for the EU-27 with a Disaggregated Agricultural Sector (AgroSAM)," JRC Research Reports JRC53558, Joint Research Centre.
    3. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    4. Uwe R. Fritsche & Leire Iriarte, 2014. "Sustainability Criteria and Indicators for the Bio-Based Economy in Europe: State of Discussion and Way Forward," Energies, MDPI, vol. 7(11), pages 1-12, October.
    5. McDougall, Robert A., 1999. "Entropy Theory and RAS are Friends," Working papers 283439, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. M'Barek, Robert & Philippidis, George & Suta, Cornelia & Vinyes, Cristina & Caivano, Arnaldo & Ferrari, Emanuele & Ronzon, Tevecia & Sanjuan Lopez, Ana & Santini, Fabien, 2014. "Observing and analysing the Bioeconomy in the EU – Adapting data and tools to new questions and challenges," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(1), pages 1-9, April.
    7. McDougall, Robert, 1999. "Entropy Theory and RAS are Friends," GTAP Working Papers 300, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
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    1. Binfield, Julian & Boulanger, Pierre & Davids, Tracy & Dudu, Hasan & Ferrari, Emanuele & Mainar-Causapé, Alfredo, 2022. "Trade liberalisation in Kenya: A modelling linkage for wheat and maize," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(1), March.
    2. Mainar-Causapé , Alfredo J., 2019. "Análisis de los sectores de Bioeconomía a través de matrices de contabilidad social específicas (BioSAMs): el caso de España," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 45, pages 273-282.
    3. George Philippidis & Ana I. Sanjuán-López, 2018. "A Re-Examination of the Structural Diversity of Biobased Activities and Regions across the EU," Sustainability, MDPI, vol. 10(11), pages 1-13, November.
    4. Valeria Ferreira & Laia Pié & Antonio Terceño, 2020. "The Role of the Foreign Sector in the Spanish Bioeconomy: Two Approaches Based on SAM Linear Models," IJERPH, MDPI, vol. 17(24), pages 1-25, December.
    5. Berta Sanchez & Jesus Barreiro-Hurle & Iria Soto-Embodas & Emilio Rodriguez-Cerezo, 2019. "The Impact Indicator for Priority Pests (I2P2): a tool for ranking pests according to Regulation (EU) 2016/2031," JRC Research Reports JRC116973, Joint Research Centre.
    6. Baldoni, Edoardo & Philippidis, George & Spekreijse, Jurjen & Gurría, Patricia & Lammens, Tijs & Parisi, Claudia & Ronzon, Tévécia & Vis, Martijn & M'Barek, Robert, 2021. "Getting your hands dirty: A data digging exercise to unearth the EU's bio-based chemical sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    7. Efstratios Loizou & Piotr Jurga & Stelios Rozakis & Antoni Faber, 2019. "Assessing the Potentials of Bioeconomy Sectors in Poland Employing Input-Output Modeling," Sustainability, MDPI, vol. 11(3), pages 1-12, January.

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    Keywords

    Bioeconomy; Social Accounting Matrices; European Union;
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