IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/332703.html
   My bibliography  Save this paper

Analysis of structural patterns in highly disaggregated bio-based sectors on EU member state level with IO multipliers

Author

Listed:
  • Ferrari, Emanuele
  • Mainar, Alfredo
  • M'barek, Robert
  • Philippidis, George
  • Sanjuan Lopez, Ana Isabel

Abstract

The concept of 'bioeconomy' is gathering momentum in European Union (EU) policy circles as a sustainable model of growth to reconcile continued wealth generation and employment with bio-based sustainable resource usage. In the literature an economy-wide quantitative assessment covering the full diversity of this sector is lacking due to relatively poor data availability for disaggregated bio-based activities. This paper represents a contribution to this literature and a tentative to support the understanding of, among others, the employment generating impacts of the agriculture, food and other traditional (fishing, forestry, wood, pulp and paper) and non-traditional (biofuel, biochemical, bioenergy) bio-based sectors across the EU 28 Member States (MS). We employ a consistent and extended set of Input-Output Tables (IOTs) benchmarked to the year 2010 for the EU28 to recognize those bioeconomic sectors which potentially maximise economic value added, with a view to formulating a coherent approach for reconciling wealth- and/or employment generation with sustainable resource usage. With the help of appropriate economic statistical techniques (i.e., hierarchical clustering technique), we profile and assess comparative structural patterns inherent within each of the EU member states' agri-food and bio-based sectors using multipliers analysis.

Suggested Citation

  • Ferrari, Emanuele & Mainar, Alfredo & M'barek, Robert & Philippidis, George & Sanjuan Lopez, Ana Isabel, 2016. "Analysis of structural patterns in highly disaggregated bio-based sectors on EU member state level with IO multipliers," Conference papers 332703, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:332703
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/332703/files/7891.pdf
    Download Restriction: no
    ---><---

    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:ags:pugtwp:332703. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.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.