Convergence, geography and technology

Maurseth, Per Botolf

doi:10.1016/s0954-349x(01)00022-4

Cited by 59 publications

(27 citation statements)

References 42 publications

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“…This is in line with previous studies on country (Levine and Renelt 1992) and regional level (Fagerberg and Verspagen 1995). The period in the eighties can be roughly characterized by divergence instead of the observed convergence in the period before (Maurseth 2001). …”

Section: Empirical Testsupporting

confidence: 92%

Entrepreneurial culture, regional innovativeness and economic growth

Beugelsdijk

2007

J Evol Econ

193

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may AbstractThis paper presents the results of an e mpirical study on the relationship between entrepreneurial culture, regional rates of innovation and regional economic growth. Recent literature mainly in regional science and economic geography has emphasized the role of an entrepreneurial culture in explaining the economic success of regions. Most of these contributions are however conceptual or case-based. Building on Leibenstein's view of the entrepreneur as the 'input completer' and the Austrian school in which entrepreneurial activity is attributed a central role I hypothesize that regions which can be characterized as having an entrepreneurial culture are more innovative and grow faster. I use a standard economic growth model and test this hypothesis on a sample of 54 European regions. The results confirm the importance of an entrepreneurial culture. Keywords:entrepreneurship, culture, innovation, regional economic growth JEL code: Z1, R11Acknowledgement:

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Section: Empirical Testsupporting

confidence: 92%

Entrepreneurial culture, regional innovativeness and economic growth

Beugelsdijk

2007

J Evol Econ

193

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“…First, as in Paci and Pigliaru (2001) and Maurseth (2001), we include as a proxy variable of the innovation process the regional patent activity (P AT EN T S). Note that this variable is troublesome for a few reasons.…”

Section: Regional Growth Model Extensionsmentioning

confidence: 99%

“…The results suggest that regions with lower education but also regions with higher income and better infrastructure benefit from the opening of trade, implying mixed results of the effects on regional inequality. The importance of regional innovation for the economic performance has been found in Paci and Pigliaru (2001) or Maurseth (2001) using patent data. Other studies suggest that knowledge spillovers crucially depend on the geographic distance (see for example, Fischer and Varga, 2003;Fischer and Griffith, 2008).…”

Section: Introductionmentioning

confidence: 99%

Does Globalization Affect Regional Growth? Evidence for Nuts-2 Regions in EU-27

Polasek

Sellner

2013

Danube

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We analyze the influence of newly constructed globalization measures on regional growth for the EU-27 countries between 2001 and 2006. The spatial Chow-Lin procedure, a method constructed by the authors, was used to construct, on a NUTS-2 level, complete regional data for exports, imports and FDI inward stocks, which serve as indicators for the influence of globalization, integration and technology transfers on European regions. The results suggest that most regions have significantly benefited from globalization measured by increasing trade openness and FDI. In a non-linear growth convergence model, the growth elasticities for globalization and technology transfers decrease with increasing GDP per capita. Furthermore, the estimated elasticity for FDI decreases when the model includes a higher human capital premium for CEE countries and a small significant growth enhancing effect accrues from the structural funds expenditures in the EU.

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“…A key point is the ability of backward regions to adapt to and to imitate knowledge developed in the advanced regions. Diffusion stimulates a process of catching up, while constant innovation of the leaders increases the gap to fill for followers (Maurseth, 2001). Recent theories of economic geography, which show that geographical patterns interact with growth processes, tend to explain how physical distance influences regional technology spillovers (see, e.g., Martin and Ottaviano, 2001;Baldwin et al, 2001, Caniels andVerspagen, 2001).…”

Section: Interpreting Convergence Hypothesismentioning

confidence: 99%

Empirical evidence of income dynamics across EU regions

Pittau

Zelli

2006

J of Applied Econometrics

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This paper analyses the distribution of purchasing power standardised per capita income across EU-12 regions between 1977 to 1996. Dispersion of incomes between regions is measured taking into account their population sizes. The cross-sectional distributions are initially described by weighted kernel density estimates, revealing a multimodal structure of the distributions, less evident over the period. This evidence is supported by a bootstrap test. To detect homogeneous groups of regions, the empirical distributions are approximated by finite mixture of normal densities. The components of the mixture represent clusters of poor/rich regions, while the mixing proportions the allocation over the poor and the rich components. The number of components is assessed by a bootstrap LR test, while the goodness of fit by a kernel-density-based test. Income mobility is modelled by the stochastic kernel, the continuous counterpart of the transition probability matrix. The main implication is a very slow process of catching up of the poorest regions with the richer ones and a process of shifting away of a small group of very rich regions. This evidence is reflected in the shape of the ergodic distribution which is well fitted by a two-component mixture model.

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Convergence, geography and technology

Cited by 59 publications

References 42 publications

Entrepreneurial culture, regional innovativeness and economic growth

Entrepreneurial culture, regional innovativeness and economic growth

Does Globalization Affect Regional Growth? Evidence for Nuts-2 Regions in EU-27

Empirical evidence of income dynamics across EU regions

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