1. Geography of inventive activity in OECD regions Stefano Usai CRENoS, University of Cagliari 29 June 2009 DIMETIC Summer School, Pecs Thanks to a contribution by OECD, Directorate for Science Technology and Industry within the research project on THE IMPACT OF BUSINESS STRUCTURES AND STRATEGIES ON THE DEGREE AND PATTERNS OF INNOVATION AT REGIONAL LEVEL

2. 09/10/2015 Geography of innovation in OECD regions Pag.2 Technological progress as an engine of growth

3. 09/10/2015 Geography of innovation in OECD regions Pag.3 Research line Technological activity is acknowledged as the main engine of growth and we contribute in investigating on how this engine works at the regional level First systematic, albeit preliminary, attempt to analyse comparatively the processes of knowledge creation and dissemination across regions (and possibly in the future also sectors) in OECD countries

4. 09/10/2015 Geography of innovation in OECD regions Pag.4 TABLE OF CONTENTS 1Introduction 2Theoretical and empirical background 3Some methodological and data issues 4Descriptive statistics –4.1Spatial concentration –4.2Patents and other variables –4.3Sector Analysis 5Econometric estimation –Cross region KPF –Cross region-industry KPF 6Conclusions and Policy implications 7Appendix

5. 09/10/2015 Geography of innovation in OECD regions Pag.5 Main Objectives To estimate a Knowledge Production Function (KPF) at the regional level –(and later at the regional-industry) We assess the importance of local and external factors and among them knowledge spillovers (both pecuniary and technological) in facilitating innovative activity We also assess the importance of geographical proximity

6. 09/10/2015 Geography of innovation in OECD regions Pag.6 The literature behind us/1 From a theoretical point of view: knowledge and technological progress are engines of economic dynamics in most endogenous growth models (since Romer, 1986). In the spatial context this implies that local growth depends on –the amount of technological activity which is carried out locally (depending on several factors among which internal technological spillovers) –the ability to exploit technological achievements from outside, that is external technological spillovers (through several channels) In this respect geographical (Glaeser et al, 1992; Henderson, 1997, Paci and Usai, 2000) and technological (Keller, 2000, Verspagen, 2000, Paci and Usai, 2005) proximity have been considered and proved relevant.

7. 09/10/2015 Geography of innovation in OECD regions Pag.7 The literature behind us/2 From an empirical point of view: a useful starting point is the Knowledge Production Function (KPF) originally formalised by Griliches, 1979, and mainly applied at the firm level and refocused by Jaffe, 1989, to study knowledge spillovers from university to firms at the local level Empirical estimations of general KPF have been carried out for different levels of aggregation: –For the US case: Acs et al, 1994; Audretsch and Feldman, 1996; Carlino et al, 2007; O hUchallain and Leslie, 2007; Soon and Storper, 2007 –For the EU case: Maurseth and Verspagen, 1999; Bottazzi and Peri, 2003; Moreno, Paci and Usai, 2005, 2006a, 2006b, Rodriguez Pose and Crescenzi, 2007 –For the US and the EU together*: Crescenzi, Rodriguez-Pose and Storper, 2007. *with heterogenous datasets Never done for the whole of developed countries with a homogenous dataset

8. 09/10/2015 Geography of innovation in OECD regions Pag.8 The literature behind us, that is ourselves Moreno, Paci and Usai (2005) EPO data on EU regions Agglomeration economies are positively and significantly related to innovative activity. RD expenditure has a positive and significant impact GDP per capita impact is always positive and significant. Country dummies are mostly significant signalling the presence of institutional differences and possibly national systems of innovation.

9. 09/10/2015 Geography of innovation in OECD regions Pag.9 Moreno, Paci and Usai (2005): Main conclusions Clusters of regional innovative systems based on different specialisations have formed across Europe They are within national innovation systems: different paths for each country They are getting stronger and bigger, thanks to spatial dependence All in all, it is clear that sector and regional dimension should be combined to have a clear picture of innovation distribution and dynamics across countries…

10. 09/10/2015 Geography of innovation in OECD regions Pag.10 Spatial autocorrelation is often present –It is almost always positive –It goes up to second level of contiguity (or up to 250 kms) Technological proximity matrix does not give rise to spatial autocorrelation Only when the technological dimension is combined to the geographical one results are again significant Moreno et al (2005): Main results

11. 09/10/2015 Geography of innovation in OECD regions Pag.11 The literature behind us/3 Empirical estimations of KPF at the regional- industry level have been just a few Moreno-Paci and Usai (2006)

12. 09/10/2015 Geography of innovation in OECD regions Pag.12 Moreno et al (2006): Main results for EU regions The role of technological specialisation is significative and positive in many sectors –Contrary to results for US and France (but for some sectors) Such a role is deepening along time in most sectors –Contrary to specialisation in production: there is less delocalisation processes in innovation. Diversity is almost always positive but never significant –Contrary to most previous analyses…but for results for France… Spatial autocorrelation is often present

13. 09/10/2015 Geography of innovation in OECD regions Pag.13 OECD Regional Database (ORDB)/1 ORDB provides quantitative information on socio-economic issues (demographics, economy and labour market, social issues) for potentially 2014 regions within 30 OECD member countries This is one of the first implementation and therefore CRENoS has compared ORDB with respect to national and international sources and has integrated and corrected the database Innovative activity is measured both with input and output indicators, among the latter patents We concentrate on the latter and in particular on Patent Cooperation Treaty (PCT) applications...but before that

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16. 09/10/2015 Geography of innovation in OECD regions Pag.16 http://stats.oecd.org/

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18. 09/10/2015 Geography of innovation in OECD regions Pag.18 http://stats.oecd.org/OECDregionalstatistics/

19. 09/10/2015 Geography of innovation in OECD regions Pag.19 CountryLarge Regions (TL2)Small Regions (TL3) Australia8 States/Territories60 Statistical Divisions Austria9 Bundesländer 35 Gruppen von Politischen Bezirken Belgium3 Régions11 Provinces Canada12 Provinces and Territories288 Census Divisions Czech Republic8 Groups of Kraje14 Kraje Denmark3 Regions15 Amter Finland5 Suuralueet20 Maakunnat France (without DOM-TOM)22 Régions96 Départements Germany16 Länder 97 Spatial planning regions (groups of Kreise) Greece 4 Groups of Development regions 13 Development regions Hungary 7 Tervezesi ‑ statisztikai regio 20 Megyek (+Budapest) Iceland2 regions8 Landsvaedi Ireland 2 Groups Regional Authority Regions 8 Regional Authority Regions Italy21 Regioni103 Province Japan10 Groups of prefectures47 Prefectures Territorial grids by country

20. 09/10/2015 Geography of innovation in OECD regions Pag.20 CountryLarge Regions (TL2)Small Regions (TL3) Korea7 Regions 16 Special city, Metropolitan area and Province Luxembourg1 State Mexico32 Estados209 Grupos de Municipios Netherlands4 Landsdelen12 Provinces New Zealand 2 Groups of regional Councils 14 Regional Councils Norway7 Landsdeler19 Fylker Poland16 Voïvodships45 Subregions Portugal 5 Comissaoes de coordenaçao regional + 2 Regioes autonomas 30 Grupos de Concelhos Slovak Republic4 Zoskupenia Karajov8 Kraj Spain19 Comunidades autonomas52 Provincias Sweden8 Riksomraden21 Län Switzerland7 Grandes régions26 Cantons Turkey26 Regions81 Provinces United Kingdom 12 Government Office Regions + Countries 133 groups of authorities or districts United States51 States179 BEA Economic Areas

21. 09/10/2015 Geography of innovation in OECD regions Pag.21 OECD Regional Database (RDB)/2 PCT provide a unified preliminary procedure for filing patent applications to protect inventions in each of its Contracting States. patent applicationsinventions PCT procedure is costly and a step ahead the national award, it is assumed that most innovations are valuable ones. Comparing PCT and TPF (triadic patent families): –TPF are less numerous (they share one or more priorities at USPTO, JPTO, EPO) –Both indexes do not suffer from home-bias –The latter provides a stronger profit-based indicator for an international report even though both refer to valuable inventions –PCT permit a wider perspective and its regionalisation is more straightforward

22. 09/10/2015 Geography of innovation in OECD regions Pag.22 OECD Regional Database (RDB)/3 Macro areas: Europe, Asia/Pacific and North America. Countries: 30 countries Regional level (tl2 and tl3) –Most of this report and the econometric analysis is based on TL2 –The regions of OECD are 324 (some countries at TL0 included) Temporal dimension: (1998-2000 and 2002-2004) Sectoral level: (potentially 44 NACE-ISIC sectors) Main indicator: –Absolute value of PCT (around 600,000 in total) –PCT per million population

23. 09/10/2015 Geography of innovation in OECD regions Pag.23 Some features of the RDB PCT provide a measure which is of a sufficiently homogenous quality: potentially highly remunerative innovations. Indicator for both product and process innovations Medium time span (potentially long): three-year averages to smooth data Use of the inventor’s residence instead of applicant’s residence. Specific treatment of multiple inventors Use of “Schmlook et al.” Technology Concordance (still to be done) –Such a concordance uses the probability distribution of each IPC across industries of manufacture in order to attribute each patent proportionally to the different sectors where the innovation may have originated

24. Regions in our database 09/10/2015 Pag.24

25. 09/10/2015 Geography of innovation in OECD regions Pag.25 Geographical distribution of innovative activity

26. 09/10/2015 Geography of innovation in OECD regions Pag.26 Sector distribution of innovative activity Still to be done

27. 09/10/2015 Geography of innovation in OECD regions Pag.27 OECD: PCT per million Population, 1998-2000

28. 09/10/2015 Geography of innovation in OECD regions Pag.28 OECD: PCT per million Population, 2002-2004

29. 09/10/2015 Geography of innovation in OECD regions Pag.29 Europe: PCT per million, 1998-2000

30. 09/10/2015 Geography of innovation in OECD regions Pag.30 Europe: PCT per million, 2002-2004

31. 09/10/2015 Geography of innovation in OECD regions Pag.31 North America: PCT per million, 1998-2000

32. 09/10/2015 Geography of innovation in OECD regions Pag.32 North America: PCT per million, 2002-2004

33. 09/10/2015 Geography of innovation in OECD regions Pag.33 Asia/Pacific: PCT per million, 1998-2000

34. 09/10/2015 Geography of innovation in OECD regions Pag.34 Asia/Pacific: PCT per million, 2002-2004