lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The European Commission and Europe 2020: smart, sustainable and inclusive growth
Linnaeus University, Faculty of Social Sciences, Department of Political Science. (European Studies)ORCID iD: 0000-0001-7518-0067
2019 (English)In: Smart, Sustainable and Inclsuive Growth: Political Entrepreneurship for a Prosperous Europe / [ed] Charlie Karlsson, Daniel Silander & Brigitte Pircher, Cheltenham: Edward Elgar Publishing, 2019, p. 2-35Chapter in book (Refereed)
Place, publisher, year, edition, pages
Cheltenham: Edward Elgar Publishing, 2019. p. 2-35
Series
New Horizons in Regional Science series
National Category
Political Science
Research subject
Social Sciences, Political Science
Identifiers
URN: urn:nbn:se:lnu:diva-89183DOI: 10.4337/9781788974097.00006ISI: 000565883500001Scopus ID: 2-s2.0-85137515687ISBN: 9781788974080 (print)ISBN: 9781788974097 (electronic)OAI: oai:DiVA.org:lnu-89183DiVA, id: diva2:1352284
Available from: 2019-09-18 Created: 2019-09-18 Last updated: 2022-11-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Silander, Daniel

Search in DiVA

By author/editor
Silander, Daniel
By organisation
Department of Political Science
Political Science

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 73 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf