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Innovation and SMEs patent propensity in Korea
Chonnam National University, South Korea.
Jönköping University, Jönköping International Business School, JIBS, Economics.ORCID iD: 0000-0002-7902-4683
2015 (English)Report (Other academic)
Abstract [en]

This paper analyzes the patent propensity as an outcome of innovative activities of regional SMEs. To achieve the aims, we apply robust regression analysis to estimate the models to test 5 research hypotheses using 263 firm level data located at Gwangju region in Korea. Our empirical results show that a firm's industry characteristics, such as machinery and automotive parts industry, is negatively related with propensity to patent innovation. Also, unlike expectations, the InnoBiz firms designated as innovative SMEs by the government are not performing differently than general firms. Only the CEO's academic credentials are positively related with propensity to patent. From the findings, we can conclude that patenting propensity is not directly related with a firm's characteristics but mainly to CEO's managerial strategy. Also, we cannot find evidence for policy effectiveness from public support given to InnoBiz firms as part of the state policy to nurture photonic industry to boost regional economic development. Given the lack of strong policy effects, a new industry policy should be considered to actively promote SMEs innovativeness.

Place, publisher, year, edition, pages
Bonn: Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor , 2015. , 18 p.
Series
IZA Discussion Paper, 8790
Keyword [en]
patent propensity, photonic industry, SMEs growth, R&D, innovation, InnoBiz, Korea
National Category
Economics
Identifiers
URN: urn:nbn:se:hj:diva-26189Local ID: IHHEFSISOAI: oai:DiVA.org:hj-26189DiVA: diva2:796138
Available from: 2015-03-18 Created: 2015-03-18 Last updated: 2016-01-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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