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
Macroeconomic Determinants, Innovation and the Birth of New Firms: Negative Binomial Regression Approach: Negative Binomial Regression Approach
Mid Sweden University, Faculty of Human Sciences, Department of Business, Economics and Law.
University of Brescia- Italy.
Department of Economics , Finance, Statistics and Informatics- Jönköping University .
2013 (English)In: International Journal of Economics and Finance, ISSN 1916-9728, E-ISSN 1916-971X, Vol. 5, no 11, p. 72-81Article in journal (Refereed) Published
Abstract [en]

 Abstract

This paper employs the random-effects negative binomial regression model (RENBM) to test the relationship between macroeconomic factors and the birth of new firms. The test is across countries and uses count data. We consider a sample of 135 panel-data observations, taken from 27 countries in the European Union (EU) during the period 2004 to 2008. We found that the birth of new firms is positively related to the growth of gross domestic product (GDP), inflation and openness, and is negatively related to unemployment. This result is in accordance with macroeconomic theory. The results also show that expenditure on research and development (R&D) has a significant positive effect on the number of new firms. This result further supports the hypothesis of new economic growth theory. Moreover, the empirical evidence shows a positive correlation between the number of new businesses and ethnic heterogeneity. 

Place, publisher, year, edition, pages
Canada, 2013. Vol. 5, no 11, p. 72-81
Keyword [en]
birth of new firms, macroeconomic factors, innovation, ethnic heterogeneity, negative binomial regression model
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:miun:diva-20182DOI: 10.5539/ijef.v5n11p72OAI: oai:DiVA.org:miun-20182DiVA, id: diva2:663335
Available from: 2013-11-11 Created: 2013-11-11 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

fulltext(195 kB)315 downloads
File information
File name FULLTEXT01.pdfFile size 195 kBChecksum SHA-512
b9f5b822177afe935de9d3064ac4fe4aa510a5df653f2766da2e17363301997afe70342043d0feb6ef0a2c2c44b59a261f11a9f5fef0ef16851b188dbe6f6a3c
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Salman, A. Khalik
By organisation
Department of Business, Economics and Law
In the same journal
International Journal of Economics and Finance
Economics and Business

Search outside of DiVA

GoogleGoogle Scholar
Total: 315 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 223 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