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Baum, C. F., Lööf, H. & Nabavi, P. (2019). Innovation strategies, external knowledge and productivity growth. Industry and Innovation, 26(3), 348-367
Open this publication in new window or tab >>Innovation strategies, external knowledge and productivity growth
2019 (English)In: Industry and Innovation, ISSN 1366-2716, E-ISSN 1469-8390, Vol. 26, no 3, p. 348-367Article in journal (Refereed) Published
Abstract [en]

This paper studies firms ' capability to recombine internal and local knowledge. It measures the outcome in terms of total productivity growth. Using Swedish data on commuting time for face-to-face contacts across all 290 municipalities, we employ a time-sensitive approach for calculating localized knowledge within a municipality and and its close neighbors. Internal knowledge is captured by register data on firms' innovation intensity. The two sources of knowledge are modeled in a production function setting by discrete composite variables with different combinations of input factors. Applying the model on Swedish firm level panel data, we find strong evidence of differences in the capacity to benefit from external knowledge among persistent innovators, temporary innovators and non-innovators. The results are consistent regardless of whether innovation efforts are measured in terms of the frequency of patent applications or the level of R&D investment.

Place, publisher, year, edition, pages
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2019
Keywords
Innovation strategies, localized knowledge, patents, TFP growth, panel data
National Category
Economics and Business
Identifiers
urn:nbn:se:kth:diva-244079 (URN)10.1080/13662716.2018.1499502 (DOI)000457499800005 ()2-s2.0-85051958586 (Scopus ID)
Note

QC 20190219

Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2019-03-18Bibliographically approved
Cook, G., Shevtsova, Y. & Lööf, H. (2018). The impact of technology spillovers and international knowledge flows on the productivity and innovativeness of UK multinationals. In: Globalization, International Spillovers and Sectoral Changes: Implications for Regions and Industries: (pp. 64-96). Edward Elgar Publishing
Open this publication in new window or tab >>The impact of technology spillovers and international knowledge flows on the productivity and innovativeness of UK multinationals
2018 (English)In: Globalization, International Spillovers and Sectoral Changes: Implications for Regions and Industries, Edward Elgar Publishing, 2018, p. 64-96Chapter in book (Refereed)
Place, publisher, year, edition, pages
Edward Elgar Publishing, 2018
National Category
Human Geography
Identifiers
urn:nbn:se:kth:diva-238271 (URN)10.4337/9781786432483.00008 (DOI)2-s2.0-85046506836 (Scopus ID)9781786432483 (ISBN)9781786432476 (ISBN)
Note

QC 20181118

Available from: 2018-11-19 Created: 2018-11-19 Last updated: 2018-11-19Bibliographically approved
Baum, C. F., Lööf, H., Larijani, P. N. & Stephan, A. (2017). A new approach to estimation of the R&D-innovation-productivity relationship. Economics of Innovation and New Technology, 26(1-2), 121-133
Open this publication in new window or tab >>A new approach to estimation of the R&D-innovation-productivity relationship
2017 (English)In: Economics of Innovation and New Technology, ISSN 1043-8599, E-ISSN 1476-8364, Vol. 26, no 1-2, p. 121-133Article in journal (Refereed) Published
Abstract [en]

We apply a generalized structural equation model approach to the estimation of the relationship between R&D, innovation and productivity that focuses on the potentially crucial heterogeneity across sectors. The model accounts for selectivity and handles the endogeneity of this relationship in a recursive framework which allows for feedback effects from productivity to future R&D investment. Our approach enables the estimation of the different equations as one system, allowing the coefficients to differ across sectors, and also permits us to take cross-equation correlation of the errors into account. Employing a panel of Swedish manufacturing and service firms observed in three consecutive Community Innovation Surveys in the period 2008-2012, our full-information maximum likelihood estimates show that many key channels of influence among the model's components vary meaningfully in their statistical significance and magnitude across six different sectors based on the OECD classification on technological and knowledge intensity. These results cast doubt on earlier research which does not allow for sectoral heterogeneity.

Place, publisher, year, edition, pages
England: Taylor & Francis, 2017
Keywords
R&D; innovation; productivity; generalized structural equation model; community innovation survey
National Category
Social Sciences
Research subject
Economics
Identifiers
urn:nbn:se:kth:diva-240106 (URN)10.1080/10438599.2016.1202515 (DOI)000410576900009 ()2-s2.0-84978476682 (Scopus ID)
Note

QC 20181212

Available from: 2018-12-11 Created: 2018-12-11 Last updated: 2019-10-09Bibliographically approved
Lööf, H. & Nabavi, P. (2016). Innovation and credit constraints: evidence from Swedish exporting firms. Economics of Innovation and New Technology, 25(3), 269-282
Open this publication in new window or tab >>Innovation and credit constraints: evidence from Swedish exporting firms
2016 (English)In: Economics of Innovation and New Technology, ISSN 1043-8599, E-ISSN 1476-8364, Vol. 25, no 3, p. 269-282Article in journal (Refereed) Published
Abstract [en]

Using data from approximately 8300, primarily small, exporting firms in Sweden observed over the business cycle period 1997–2007, we examine the relationship between innovation and financial factors in a regression that include changes in cash holdings, cash flow and debt issues. Our nonlinear econometric approach with interaction variables between recession period, technology intensity and finance suggests that innovative firms in high-tech sectors tend to offset the effect of a negative financial shock by exploiting internal cash resources. No corresponding link between innovation and financial factors is found for medium and low-technology exporters.

Place, publisher, year, edition, pages
Routledge, 2016
Keywords
innovation, exports, credit constraints, non-linear panel data
National Category
Economics
Identifiers
urn:nbn:se:kth:diva-174604 (URN)10.1080/10438599.2015.1076196 (DOI)000410538900005 ()2-s2.0-84957848860 (Scopus ID)
Note

QC 20171009

Available from: 2015-12-07 Created: 2015-10-07 Last updated: 2017-10-09Bibliographically approved
Johansson, B., Lööf, H. & Savin, M. (2015). European R&D efficiency. Economics of Innovation and New Technology, 24, 140-158
Open this publication in new window or tab >>European R&D efficiency
2015 (English)In: Economics of Innovation and New Technology, ISSN 1043-8599, E-ISSN 1476-8364, Vol. 24, p. 140-158Article in journal (Refereed) Published
Abstract [en]

This paper explores the capacity to produce new knowledge proxied by patents granted in 18 industries in 11 European economies. For each industry in each country, the number of granted U.S. Patent and Trademark Office patents is recorded over the 1991–2005 period. Controlling for research and development, industry composition, and institutional setting, the paper shows that systematic differences in patent intensity exist between the studied countries, such that almost all industries are affected by country-specific conditions, suggesting that the countries’ innovation systems differ in efficiency. The countries with the highest R&D efficiency are Sweden and Finland, followed by the Netherlands and Germany.

Keywords
innovation, international comparison, panel data, patent, R&D, R&D productivity
National Category
Economics and Business
Identifiers
urn:nbn:se:kth:diva-166884 (URN)10.1080/10438599.2014.897857 (DOI)2-s2.0-84911980530 (Scopus ID)
Note

QC 20150609

Available from: 2015-06-09 Created: 2015-05-21 Last updated: 2017-12-04Bibliographically approved
Lööf, H. & Nabavi, P. (2015). Knowledge spillovers, productivity and patent. The annals of regional science, 55(1), 249-263
Open this publication in new window or tab >>Knowledge spillovers, productivity and patent
2015 (English)In: The annals of regional science, ISSN 0570-1864, E-ISSN 1432-0592, Vol. 55, no 1, p. 249-263Article in journal (Refereed) Published
Abstract [en]

We examine potential heterogeneity in the capacity to benefit from knowledge spillovers in metropolitan areas between foreign-owned and domestic multinational enterprises, and between small and large firms. The study is restricted to R&D firms in the manufacturing sector and utilizes an unbalanced sample of 1073 Swedish firms covering a 16-year period with close to 11,000 observations. We apply linear and nonlinear approaches to test the importance of knowledge spillovers on labour productivity and patent applications. The overall result shows that not all R&D firms benefit from knowledge spillovers as a result of their presence in an agglomeration area.

Place, publisher, year, edition, pages
Springer, 2015
National Category
Economics and Business
Identifiers
urn:nbn:se:kth:diva-177959 (URN)10.1007/s00168-015-0681-1 (DOI)000364031400010 ()2-s2.0-84946478258 (Scopus ID)
Note

QC 20151203

Available from: 2015-12-03 Created: 2015-11-30 Last updated: 2017-12-01Bibliographically approved
Lööf, H., Nabavi Larijani, P., Cook, G. & Johansson, B. (2015). Learning-by-exporting and innovation strategies. Economics of Innovation and New Technology, 24(1-2), 52-64
Open this publication in new window or tab >>Learning-by-exporting and innovation strategies
2015 (English)In: Economics of Innovation and New Technology, ISSN 1043-8599, E-ISSN 1476-8364, Vol. 24, no 1-2, p. 52-64Article in journal (Refereed) Published
Abstract [en]

We examine the combined effect of exports, innovation and external knowledge on total factor productivity growth among manufacturing firms. This paper distinguishes between frequent and temporary exporters as well as between frequent and temporary innovators. Applying a dynamic approach on an unbalanced panel consisting of 8516 Swedish firms observed over a 12-year period, the results show that among firms with permanent presence in export markets, persistent innovators have 0.5% point higher annual productivity growth than non-innovative exporters and 0.4% higher growth compared to firms that switch between being innovative or not. A similar pattern is found for the group of companies that alternates between exporting and non-exporting; however, the differences in growth rates are not statistically significant. We also show that only persistently innovative exporters and exporters with a large fraction of exports in their sales benefit from their presence in the local milieu with high knowledge intensity.

Keywords
innovation, TFP growth, exports, spillovers, persistence
National Category
Economics
Identifiers
urn:nbn:se:kth:diva-165074 (URN)10.1080/10438599.2014.897863 (DOI)2-s2.0-84911964437 (Scopus ID)
Note

QC 20150513

Available from: 2015-04-22 Created: 2015-04-22 Last updated: 2017-12-04Bibliographically approved
Eliasson, G., Finnveden, G., Heshmati, A., Hultkrantz, L., Lööf, H., Stephan, A. & Westlund, H. (2015). Ojnare kan bli ett svenskt exempel i FN. Dagens Opinion
Open this publication in new window or tab >>Ojnare kan bli ett svenskt exempel i FN
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2015 (Swedish)In: Dagens OpinionArticle in journal, News item (Other (popular science, discussion, etc.)) Published
Place, publisher, year, edition, pages
Dagens Opinion, 2015
National Category
Environmental Sciences
Research subject
Industrial Ecology
Identifiers
urn:nbn:se:kth:diva-186059 (URN)
Note

QC 20160510

Available from: 2016-04-29 Created: 2016-04-29 Last updated: 2016-05-10Bibliographically approved
Johansson, B. & Lööf, H. (2015). Productivity, networks and knowledge flows. Economics of Innovation and New Technology, 24, 1-4
Open this publication in new window or tab >>Productivity, networks and knowledge flows
2015 (English)In: Economics of Innovation and New Technology, ISSN 1043-8599, E-ISSN 1476-8364, Vol. 24, p. 1-4Article in journal (Refereed) Published
Abstract [en]

This introduction to the special issue of EINT surveys a collection of eight papers that study innovation and productivity at the firm level and the industry level for a number of European countries. This focus is supported by the view that an innovating firm can maintain a favourable position in terms of profits, productivity and growth by following a path along which its knowledge-creation efforts have become a regular activity. The performance of an innovating firm is also affected by the firm's accession of external knowledge sources, and this gives firms an incentive to develop innovation networks.

Keywords
innovation, knowledge flow, network, productivity, spillovers
National Category
Economics and Business
Identifiers
urn:nbn:se:kth:diva-166911 (URN)10.1080/10438599.2014.897862 (DOI)2-s2.0-84911492501 (Scopus ID)
Note

QC 20150609

Available from: 2015-06-09 Created: 2015-05-21 Last updated: 2017-12-04Bibliographically approved
Backman, M. & Lööf, H. (2015). The geography of innovation and entrepreneurship. The annals of regional science, 55(1), 1-6
Open this publication in new window or tab >>The geography of innovation and entrepreneurship
2015 (English)In: The annals of regional science, ISSN 0570-1864, E-ISSN 1432-0592, Vol. 55, no 1, p. 1-6Article in journal (Refereed) Published
Abstract [en]

This introduction to the special issue "The Geography of Innovation and Entrepreneurship" in the Annals of Regional Science surveys a collection of nine papers which consider agglomeration economies and spatial heterogeneity of regions and firms through the lenses of innovation and entrepreneurship. They all make use of extensive and detailed data sources that enable models to provide a richer picture of how firms, industries and regions are affected by innovation and entrepreneurship but also how these entities shape and foster renewal. These factors include spatial concentration, industry composition, labor market characteristics, immigration, firm characteristics, R&D activities and R&D collaboration. The papers add to the understanding of the geography of innovation and entrepreneurship by suggesting alternative ways of identifying spillovers, combing and integrating internal and external knowledge sources, and by estimating the impact on innovation, new firm formation and growth.

Place, publisher, year, edition, pages
Springer, 2015
National Category
Economic Geography
Identifiers
urn:nbn:se:kth:diva-177958 (URN)10.1007/s00168-015-0713-x (DOI)000364031400001 ()2-s2.0-84946471820 (Scopus ID)
Note

QC 20151202

Available from: 2015-12-02 Created: 2015-11-30 Last updated: 2017-12-01Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5871-8571

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