Abstract
In this paper we attempt to provide empirical evidence on the phenomenon of cluster agglomeration of innovation activities throughout time and space in European regions. More specifically we try to assess whether there are some forces which support the development of technologically specialised regional clusters. In particular we want to determine the spatial extent of these forces, their dynamics along the eighties and nineties and their connection with production clustering. We have started from a mapping of innovation activity in European regions by means of an exploratory spatial analysis based on global indicators of spatial dependence. As a result, in a second step, we check the hypothesis that innovation concentration can be a result not only of the geographic concentration of production but also of the development of technologically specialised clusters in neighbouring regions. The analysis is based on a databank set up by CRENoS on regional patenting at the European Patent Office spanning from 1978 to 2001 and classified by ISIC sectors and on the Cambridge Econometrics database on production activity. Among the main results, it is shown that specialisation in innovative activity is positively and significantly influenced by specialisation in production activity. Additionally, it is obtained that innovation tends to cluster more in sectors in which the neighbouring regions are also technologically specialised.
Similar content being viewed by others
Notes
Additional to the possibility of externalities crossing geographical barriers of regions due to proximity in space, interregional spillovers may take place due to other reasons such as the volume of trade between each pair of regions or their economic similarity.
Note that since 2000 there is an important initiative called European trend chart on innovation which provides several indicators on innovation (based on input and output data and on the CIS survey) at the regional level and a synthetic measure of them. Unfortunately, the time and the sectoral dimension of such a database are rather limited. Nevertheless for the time being this database is going to become more and more a crucial point of reference for the analysis in this field.
It should be noted that R&D statistics provide other interesting information concerning the origin of the expenditure. R&D statistics are, as a matter of fact, usually divided into categories such as business, university and government.
For instance, the headquarter of Enichem, the Italian petroleum and chemical multinational, is located in Milan (Lombardia) but the innovative activity (as indicated by the residence of the inventors) is much more dispersed due to the presence of several plants in other regions (e.g. Veneto, Sicilia, Liguria and Sardegna).
Eurostat classification list four categories of territorial units: 15 NUTS 0 nations; 77 NUTS 1 regions, 206 NUTS 2 regions and 1031 NUTS 3 regions.
The perfect territorial unit is difficult to be found since administrative units do not necessarily reflect economic phenomena. Better territorial units used in the empirical literature are the functional urban region just for main urban centres at the European level (Cheshire 1990), the local labour system in Italy (Paci and Usai, 1999) or the basin d’emploi in France (Combes, 2000).
The original YTC was conceived by Evenson et al. (1991). Updates to the YTC have been programmed by Daniel Johnson who kindly provides downloadable conversion tables and detailed explanations on the procedures at the Internet address: http://faculty1.coloradocollege.edu/~djohnson/jeps.html.
Throughout the paper patents per capita are used, even though main results do not change if one uses the absolute value of patents.
This phenomenon is partly due to a shift of patent applications by European firms from National patenting offices to the European one.
Scatter maps for other periods not reported in the paper are available on request.
Other specifications have been estimated to assess for the presence of a relationship between innovative specialisation of one region and productive specialisation in contiguous regions but results were not significant. Similarly, some attempts to evaluate the presence of different coefficients for each macro-sector by means of interactive dummies have not provided interesting results, probably due to the aggregate nature of our data.
References
Anselin L (1988) Spatial econometrics: methods and models. Kluwer, Dordrecht
Audretsch D, Feldman M (1996) R&D spillovers and the geography of innovation and production. Am Econ Rev 86:631–640
Baldwin RE, Martin P (2004) Agglomeration and regional growth, In: V Henderson, JF Thisse (eds) Handbook of regional and urban economics: cities and geography. North-Holland
Bottazzi L, Peri G (2003), Innovation and spillovers in regions: evidence from European patent data. Eur Econ Rev 47:687–710
Breschi S (2000) The geography of innovation: a cross-sector analysis. Reg Stud 34:213–229
Burridge P (1980) On the Cliff–Ord test for spatial autocorrelation. J R Stat Soc B 42:107–108
Caniels M (2000) Knowledge spillovers and economic growth, Edward Elgar, Cheltenham
Cheshire P (1990) Explaining the performance of the European Community’s major urban regions. Urban Stud 27:311–333
Ciccone A (2002) Agglomeration effects in Europe. Eur Econ Rev 46:213–27
Coe D, Helpman E (1995) International R&D spillovers. Eur Econ Rev 39:859–87
Combes P (2000) Economic structure and local growth: France, 1984–1993. J Urban Econ 47:329–355
Evenson RE, Putnam J, Kortum S (1991) Estimating patent counts by industry using the Yale–Canada concordance, Final Report to the National Science Foundation
Florax RJ, Folmer H, Rey S (2003) Specification searches in spatial econometrics: the relevance of Hendry’s methodology. Reg Sci Urban Econ 33:557–79
Griliches Z (1990) Patent statistics as economic indicators: a survey. J Econ Lit 28:1661–1707
Grossman G, Helpman E (1991) Trade, knowledge spillovers, and growth. Eur Econ Rev 35:517–526
Jaffe AB, Trajtenberg M, Henderson R (1993) Geographic localization of knowledge spillovers as evidenced by patent citations. Q J Econ 63:577–598
Keller W (2002) Geographic localization of international technology diffusion. Am Econ Rev 92:120–142
Mariani M (2002) Next to Production or to technological clusters? The economics and management of R&D location. J Manag Gov 131–152
Martin P, Ottaviano G (2001) Growth and agglomeration. Int Econ Rev 42:947–968
Moran P (1948) The interpretation of statistical maps. J R Stat Soc 10:243–251
Moreno R, Paci R, Usai S (2005) Spatial spillovers and innovation activity in European regions, Environ Plann A (forthcoming)
Paci R, Usai S (1999) Externalities, Knowledge Spillovers and the Spatial Distribution of Innovation. GeoJournal 49:381–390
Paci R, Usai S (2000) Technological enclaves and industrial districts. An analysis of the regional distribution of innovative activity in Europe. Reg Stud 34:97–114
Storper M (1995) Regional technology coalitions an essential dimension of national technology policy. Res Policy 24:895–911
Varga A, Anselin L, Acs Z (2005) Regional Innovation in the US over Space and Time, In: G Maier, S Sedlacek (eds) Spillovers and Innovation, Springer, Wien
Von Hipple E (1994) Sticky information and the locus problem solving: implications for innovation. Manag Sci 40:429–439
Acknowledgements
We thank Barbara Dettori for excellent research assistance. We have benefited from useful comments by participants at the 2004 ERSA conference, COST Action 17 meetings in Prague and Kaunas and seminars in Barcelona and Cagliari. This paper is the result of a joint research project developed within the COST-Action 17. Financial support by MIUR (COFIN 2002 project n. 2002138187_02) and DGICYT SEC2002-00165 are gratefully acknowledged.
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix
European Regions in CRENoS database (Id-CRENoS; Id-Nuts; Region; Nuts level)
1 | AT11 | Burgenland | 2 |
2 | AT12 | Niederosterreich | 2 |
3 | AT13 | Wien | 2 |
4 | AT21 | Karnten | 2 |
5 | AT22 | Steiermark | 2 |
6 | AT31 | Oberosterreich | 2 |
7 | AT32 | Salzburg | 2 |
8 | AT33 | Tirol | 2 |
9 | AT34 | Vorarlberg | 2 |
10 | BE1 | Bruxelles-Brussel | 1 |
11 | BE2 | Vlaams Gewest | 1 |
12 | BE3 | Region Walonne | 1 |
13 | CH01 | Region Lemanique | 2 |
14 | CH02 | Espace Mittelland | 2 |
15 | CH03 | Nordwestschweiz | 2 |
16 | CH04 | Zurich | 2 |
17 | CH05 | Ostschweiz | 2 |
18 | CH06 | Zentralschweiz | 2 |
19 | CH07 | Ticino | 2 |
20 | DE11 | Stuttgart | 2 |
21 | DE12 | Karlsruhe | 2 |
22 | DE13 | Freiburg | 2 |
23 | DE14 | Tubingen | 2 |
24 | DE21 | Oberbayern | 2 |
25 | DE22 | Niederbayern | 2 |
26 | DE23 | Oberpfalz | 2 |
27 | DE24 | Oberfranken | 2 |
28 | DE25 | Mittelfranken | 2 |
29 | DE26 | Unterfranken | 2 |
30 | DE27 | Schwaben | 2 |
31 | DE3 | Berlin | 2 |
32 | DE4 | Brandenburg | 2 |
33 | DE5 | Bremen | 2 |
34 | DE6 | Hamburg | 2 |
35 | DE71 | Darmstadt | 2 |
36 | DE72 | Giessen | 2 |
37 | DE73 | Kassel | 2 |
38 | DE8 | Mecklenburg-Vorpomm | 2 |
39 | DE91 | Braunschweig | 2 |
40 | DE92 | Hannover | 2 |
41 | DE93 | Luneburg | 2 |
42 | DE94 | Weser-Ems | 2 |
43 | DEA1 | Dusseldorf | 2 |
44 | DEA2 | Koln | 2 |
45 | DEA3 | Munster | 2 |
46 | DEA4 | Detmold | 2 |
47 | DEA5 | Arnsberg | 2 |
48 | DEB1 | Koblenz | 2 |
49 | DEB2 | Trier | 2 |
50 | DEB3 | Rheinhessen-Pfalz | 2 |
51 | DEC | Saarland | 2 |
52 | DED1 | Chemnitz | 2 |
53 | DED2 | Dresden | 2 |
54 | DED3 | Leipzig | 2 |
55 | DEE1 | Dessau | 2 |
56 | DEE2 | Halle | 2 |
57 | DEE3 | Magdeburg | 2 |
58 | DEF | Schleswig-Holstein | 2 |
59 | DEG | Thuringen | 2 |
60 | DK | DENMARK | 0 |
61 | ES11 | Galicia | 2 |
62 | ES12 | Asturias | 2 |
63 | ES13 | Cantabria | 2 |
64 | ES21 | Pais Vasco | 2 |
65 | ES22 | Navarra | 2 |
66 | ES23 | Rioja | 2 |
67 | ES24 | Aragon | 2 |
68 | ES3 | Madrid | 2 |
69 | ES41 | Castilla-Leon | 2 |
70 | ES42 | Castilla-la Mancha | 2 |
71 | ES43 | Extremadura | 2 |
72 | ES51 | Cataluna | 2 |
73 | ES52 | Com. Valenciana | 2 |
74 | ES61 | Andalucia | 2 |
75 | ES62 | Murcia | 2 |
76 | FI13 | Ita-Suomi | 2 |
77 | FI14 | Vali-Suomi | 2 |
78 | FI15 | Pohjois-Suomi | 2 |
79 | FI16 | Uusimaa | 2 |
80 | FI17 | Etela-Suomi | 2 |
81 | FI2 | Aland | 2 |
82 | FR1 | Ile de France | 2 |
83 | FR21 | Champagne-Ard | 2 |
84 | FR22 | Picardie | 2 |
85 | FR23 | Haute-Normandie | 2 |
86 | FR24 | Centre | 2 |
87 | FR25 | Basse-Normandie | 2 |
88 | FR26 | Bourgogne | 2 |
89 | FR3 | Nord-Pas de Calais | 2 |
90 | FR41 | Lorraine | 2 |
91 | FR42 | Alsace | 2 |
92 | FR43 | Franche-Comte | 2 |
93 | FR51 | Pays de la Loire | 2 |
94 | FR52 | Bretagne | 2 |
95 | FR53 | Poitou-Charentes | 2 |
96 | FR61 | Aquitaine | 2 |
97 | FR62 | Midi-Pyrenees | 2 |
98 | FR63 | Limousin | 2 |
99 | FR71 | Rhone-Alpes | 2 |
100 | FR72 | Auvergne | 2 |
101 | FR81 | Languedoc-Rouss | 2 |
102 | FR82 | Prov-Alpes−Cote d’Azur | 2 |
103 | FR83 | Corse | 2 |
104 | GR11 | Anatoliki Makedonia | 2 |
105 | GR12 | Kentriki Makedonia | 2 |
106 | GR13 | Dytiki Makedonia | 2 |
107 | GR14 | Thessalia | 2 |
108 | GR21 | Ipeiros | 2 |
109 | GR22 | Ionia Nisia | 2 |
110 | GR23 | Dytiki Ellada | 2 |
111 | GR24 | Sterea Ellada | 2 |
112 | GR25 | Peloponnisos | 2 |
113 | GR3 | Attiki | 2 |
114 | GR41 | Voreio Aigaio | 2 |
115 | GR42 | Notio Aigaio | 2 |
116 | GR43 | Kriti | 2 |
117 | IE01 | Border | 2 |
118 | IE02 | Southern and Eastern | 2 |
119 | IT11 | Piemonte | 2 |
120 | IT12 | Valle d’Aosta | 2 |
121 | IT13 | Liguria | 2 |
122 | IT2 | Lombardia | 2 |
123 | IT31 | Trentino-Alto Adige | 2 |
124 | IT32 | Veneto | 2 |
125 | IT33 | Fr.-Venezia Giulia | 2 |
126 | IT4 | Emilia-Romagna | 2 |
127 | IT51 | Toscana | 2 |
128 | IT52 | Umbria | 2 |
129 | IT53 | Marche | 2 |
130 | IT6 | Lazio | 2 |
131 | IT71 | Abruzzo | 2 |
132 | IT72 | Molise | 2 |
133 | IT8 | Campania | 2 |
134 | IT91 | Puglia | 2 |
135 | IT92 | Basilicata | 2 |
136 | IT93 | Calabria | 2 |
137 | ITA | Sicilia | 2 |
138 | ITB | Sardegna | 2 |
139 | LU | LUXEMBOURG | 0 |
140 | NL1 | Noord-Nederland | 1 |
141 | NL2 | Oost-Nederland | 1 |
142 | NL3 | West-Nederland | 1 |
143 | NL4 | Zuid-Nederland | 1 |
144 | NO01 | Oslo og Akershus | 2 |
145 | NO02 | Hedmark og Oppland | 2 |
146 | NO03 | Sor-Ostlandet | 2 |
147 | NO04 | Agder og Rogaland | 2 |
148 | NO05 | Vestlandet | 2 |
149 | NO06 | Trondelag | 2 |
150 | NO07 | Nord-Norge | 2 |
151 | PT11 | Norte | 2 |
152 | PT12 | Centro | 2 |
153 | PT13 | Lisboa e V.do Tejo | 2 |
154 | PT14 | Alentejo | 2 |
155 | PT15 | Algarve | 2 |
156 | SE01 | Stockholm | 2 |
157 | SE02 | Ostra Mellansverige | 2 |
158 | SE04 | Sydsverige | 2 |
159 | SE06 | Norra Mellansverige | 2 |
160 | SE07 | Mellersta Norrland | 2 |
161 | SE08 | Ovre Norrland | 2 |
162 | SE09 | Smaland med oarna | 2 |
163 | SE0A | Vastsverige | 2 |
164 | UKC | North East | 1 |
165 | UKD | North West | 1 |
166 | UKE | Yorkshire and the Humber | 1 |
167 | UKF | East Midlands | 1 |
168 | UKG | West Midlands | 1 |
169 | UKH | Eastern | 1 |
170 | UKI | London | 1 |
171 | UKJ | South East | 1 |
172 | UKK | South West | 1 |
173 | UKL | Wales | 1 |
174 | UKM | Scotland | 1 |
175 | UKN | Northern Ireland | 1 |