In this paper, we investigate the impact of geographical spillovers in the patenting activ-ity and convergence process for a sample of 131 European regions over the 1981-2001 period. Using spatial econometrics methods (Anselin, 1988, 2001), we detect spatial autocorrela-tion and heterogeneity in the regional distribution of patent applications to the European Patent O ¢ ce. Then, we include successively these spatial e¤ects in a convergence analysis. A rst speci\u85cation taking into account the spatial dependence reveals a global convergence process between European regions as also a positive e¤ect of geographical spillovers on this convergence process. Secondly, the spatial heterogeneity is taking into account by a speci-cation with two s...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
The aim of this paper is to consider the geographical dimension of data in the estimation of the con...
This paper explores the spatial distribution of innovative activity and the role of technological sp...
In this paper we study two closely related issues. First, the role of technology heterogeneity and d...
This paper explores the spatial distribution of innovative activity and the role of technological s...
This paper explores the spatial distribution of innovative activity and the role of technological s...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
The aim of this paper is to consider the geographical dimension of data in the estimation of the con...
This paper explores the spatial distribution of innovative activity and the role of technological sp...
In this paper we study two closely related issues. First, the role of technology heterogeneity and d...
This paper explores the spatial distribution of innovative activity and the role of technological s...
This paper explores the spatial distribution of innovative activity and the role of technological s...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
The present paper employs spatial econometrics techniques to discriminate empirically between variou...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
International audienceThe authors show that spatial dependence and spatial heterogeneity matter in t...
The aim of this paper is to consider the geographical dimension of data in the estimation of the con...