PropertyValue
?:abstract
  • We investigate the extent to which firms? propensity to eco-innovate, adopt Industry 4.0 (I4.0) technologies and leverage them to eco-innovate varies with their location. We maintain that urban firms should be more prone to eco-innovate and adopt I4.0 technologies than rural ones, and more capable to make the latter functional to the former. Using a large sample of European firms, we test and confirm these hypotheses only partially. Firms in rural areas display a higher capacity to eco-innovate notwithstanding their lower digital propensity. However, an urban location reinforces the eco-innovative impact of digital technologies, irrespectively from its size. (xsd:string)
?:author
?:comment
  • (Eurobarometer) (xsd:string)
?:dataSource
  • Eurobarometer-Bibliography (xsd:string)
?:dateModified
  • 2023 (xsd:gyear)
?:datePublished
  • 2023 (xsd:gyear)
?:doi
  • 10.1080/00343404.2023.2243984 ()
?:duplicate
?:fromPage
  • 1 (xsd:string)
is ?:hasPart of
?:inLanguage
  • english (xsd:string)
?:isPartOf
?:issn
  • 0034-3404 ()
is ?:mainEntity of
?:name
  • Firms’ eco-innovation and Industry 4.0 technologies in urban and rural areas (xsd:string)
?:publicationType
  • article (xsd:string)
?:reference
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In Regional Studies, 1-13, 2023 (xsd:string)
?:studyGroup
  • EB - Standard and Special Eurobarometer (xsd:string)
?:tags
  • 2023 (xsd:string)
  • EB_input2023 (xsd:string)
  • EB_meth (xsd:string)
  • EB_pro (xsd:string)
  • Eurobarometer (xsd:string)
  • FDZ_IUP (xsd:string)
  • SCOPUSindexed (xsd:string)
  • SSCIindexed (xsd:string)
  • article (xsd:string)
  • english (xsd:string)
  • gesis_methoden (xsd:string)
  • indexproved (xsd:string)
  • review_proved (xsd:string)
  • reviewed (xsd:string)
  • rp (xsd:string)
  • transfer23 (xsd:string)
?:toPage
  • 13 (xsd:string)
rdf:type
?:url