IDEAS home Printed from https://ideas.repec.org/p/ipt/iptwpa/jrc90698.html
   My bibliography  Save this paper

Structural Patterns of the Bioeconomy in the EU Member States a SAM approach

Author

Abstract

The concept of 'bioeconomy' is gathering momentum in European Union (EU) policy circles as a sustainable model of growth to reconcile the goals of continued wealth generation and employment with bio-based sustainable resource usage. Unfortunately, an economy-wide quantitative assessment covering the full diversity of this sector is, hitherto, constrained by relatively poor data availability for disaggregated bio-based activities. This research takes a first step in addressing this issue by employing social accounting matrices (SAMs) for each EU27 member encompassing a highly disaggregated treatment of traditional bio-based agricultural and food sectors, in addition to identifiable bioeconomic activities from the national accounts data. Employing backward-linkage (BL), forward-linkage (FL) and employment multipliers, the aim is to profile and assess comparative structural patterns both across bioeconomic sectors and EU Member States. The results indicate six clusters of EU member countries with homogeneous bioeconomy structures. Within cluster statistical tests reveal a high tendency toward 'backward orientation' or demand driven wealth generation, whilst inter-cluster statistical comparisons across each bio-based sector show only a moderate degree of heterogeneous BL wealth generation and, with the exception of only two sectors, a uniformly homogeneous degree of FL wealth generation. With the exception of forestry, fishing and wood activities, bio-based employment generation prospects are below non bioeconomy activities. Finally, milk and dairy are established as 'key sectors'.

Suggested Citation

  • George Philippidis & Ana SanJuan Lopez & Emanuele Ferrari & Robert M'Barek, 2014. "Structural Patterns of the Bioeconomy in the EU Member States a SAM approach," JRC Research Reports JRC90698, Joint Research Centre (Seville site).
  • Handle: RePEc:ipt:iptwpa:jrc90698
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC90698
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Waters, Edward C. & Weber, Bruce A. & Holland, David W., 1999. "The Role Of Agriculture In Oregon'S Economic Base: Findings From A Social Accounting Matrix," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-15, July.
    2. M. Alejandro Cardenete & Ferran Sancho, 2006. "Missing links in key sector analysis," Economic Systems Research, Taylor & Francis Journals, vol. 18(3), pages 319-325.
    3. 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.
    4. Francisco Javier De Miguel-Velez & Jesus Perez-Mayo, 2008. "Poverty Reduction and SAM Multipliers: An Evaluation of Public Policies in a Regional Framework," European Planning Studies, Taylor & Francis Journals, vol. 18(3), pages 449-466, December.
    5. Channing Arndt & Henning Tarp Jensen & Finn Tarp, 2000. "Structural Characteristics of the Economy of Mozambique: A SAM‐based Analysis," Review of Development Economics, Wiley Blackwell, vol. 4(3), pages 292-306, October.
    6. 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 (Seville site).
    7. Roland-Holst, David W & Sancho, Ferran, 1995. "Modeling Prices in a SAM Structure," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 361-371, May.
    8. Pyatt, F Graham & Round, Jeffery I, 1979. "Accounting and Fixed Price Multipliers in a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 89(356), pages 850-873, December.
    9. Robinson, Sherman & Roland-Holst, David W., 1988. "Macroeconomic structure and computable general equilibrium models," Journal of Policy Modeling, Elsevier, vol. 10(3), pages 353-375.
    10. Benedetto Rocchi, 2009. "The CAP reform between targeting and equity: a structural policy analysis for Italy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 36(2), pages 175-201, June.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Campoy-Muñoz, P. & Cardenete, M.A. & Delgado, M.C., 2017. "Economic impact assessment of food waste reduction on European countries through social accounting matrices," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 202-209.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patricia D. Fuentes-Saguar & Alfredo J. Mainar-Causapé & Emanuele Ferrari, 2017. "The Role of Bioeconomy Sectors and Natural Resources in EU Economies: A Social Accounting Matrix-Based Analysis Approach," Sustainability, MDPI, vol. 9(12), pages 1-13, December.
    2. Nganou, Jean-Pascal & Parra, Juan Carlos & Wodon, Quentin, 2009. "Oil price shocks, poverty, and gender: a social accouting matrix analysis for Kenya," MPRA Paper 28471, University Library of Munich, Germany.
    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. Parra Osorio, Juan Carlos & Wodon, Quentin, 2010. "Gender, Time Use, and Labor Income in Guinea: Micro and Macro Analyses," MPRA Paper 28465, University Library of Munich, Germany.
    5. Finn Tarp & David Roland-Holst & John Rand, 2002. "Trade and Income Growth in Vietnam: Estimates from a New Social Accounting Matrix," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 157-184, June.
    6. Çağatay, Selim & Taşdoğan, Celal & Özeş, Reyhan, 2017. "Analysing the impact of targeted bio-ethanol blending ratio in Turkey," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(2), September.
    7. Javier Ferri & Ezequiel Uriel, 2000. "Multiplicadores contables y análisis estructural en la matriz de contabilidad social. Una aplicación al caso español," Investigaciones Economicas, Fundación SEPI, vol. 24(2), pages 419-453, May.
    8. Campoy-Muñoz, P. & Cardenete, M.A. & Delgado, M.C., 2017. "Economic impact assessment of food waste reduction on European countries through social accounting matrices," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 202-209.
    9. Parra, Juan Carlos & Wodon, Quentin, 2008. "Comparing the impact of food and energy price shocks on consumers : a social accounting matrix analysis for Ghana," Policy Research Working Paper Series 4741, The World Bank.
    10. 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 (Seville site).
    11. Alexander Trynov, 2016. "Public-Private Investment Partnerships: Efficiency Estimation Methods," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 602-612.
    12. Rocchi, Benedetto & Romano, Donato & Hamza, Raid, 2013. "Agriculture reform and food crisis in Syria: Impacts on poverty and inequality," Food Policy, Elsevier, vol. 43(C), pages 190-203.
    13. Marcos Esaú Domínguez Viera, 2009. "Aplicación de un modelo de multiplicadores contables y de análisis estructural a políticas sociales seleccionadas en el estado de Nuevo León," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 95-137, November.
    14. Njoya, Eric Tchouamou & Nikitas, Alexandros, 2020. "The role of air transport in employment creation and inclusive growth in the Global South: The case of South Africa," Journal of Transport Geography, Elsevier, vol. 85(C).
    15. Christian A. Emini & Hippolyte Fofack, 2004. "A financial social accounting matrix for the integrated macroeconomic model for poverty analysis : application to Cameroon with a fixed-price multiplier analysis," Policy Research Working Paper Series 3219, The World Bank.
    16. Akkemik, K. Ali, 2011. "Potential impacts of electricity price changes on price formation in the economy: a social accounting matrix price modeling analysis for Turkey," Energy Policy, Elsevier, vol. 39(2), pages 854-864, February.
    17. Pilar Campoy-Muñoz & CARDENETE, MANUEL ALEJANDRO & DELGADO, MARIA CARMEN, 2016. "Economic impact assessment of food waste on European countries throughout Social Accounting Matrices," EcoMod2016 9463, EcoMod.
    18. McDonald, Scott & Punt, Cecilia, 2005. "General equilibrium modelling in South Africa: What the future holds," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), pages 1-39, March.
    19. David Roland-Holst & Finn Tarp, 2006. "Globalization, Economic Reform, and Structural Price Transmission: Sam Decomposition Techniques with an Empirical Application to Vietnam," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Alain Janvry & Ravi Kanbur (ed.), Poverty, Inequality and Development, chapter 0, pages 287-307, Springer.
    20. 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.

    More about this item

    Keywords

    Bioeconomy; Social Accounting Matrix; agriculture; European Union;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipt:iptwpa:jrc90698. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.