1,721,110 research outputs found
Issues in the Measurement of Localisation
Abstract. The degree of localization of manufacturing, defined as the excess geographic concentration
remaining after correcting for both sectoral concentration and the agglomeration of overall economic
activity, has recently gained new techniques of measurement in the form of indexes and numerical
methods. These techniques are illustrated, compared, and theoretically discussed to show that they
are consistent advancements, but none is yet able to satisfy all desirable properties. The measurement
of localization would be more interesting if it could be related to economic processes and not limited
to simple observational aspects. In achieving this, there are a number of complications, which are
reviewed in the paper. Among these, the choice of the right sectoral scale at which these measures
have to be applied is normally given too little importance. The second part of this paper advocates
that this is a complex issue, since no digit level is appropriate for all industries. Moreover, different
aggregations of narrowly defined subsectors may be more suitable than the standard industrial
classifications. This is supported by an exploratory analysis, in two British sectors, based on the
investigation of possible localization reasons identified in recent taxonomies. As the many localization
measurement techniques have become available, it is recommended that they be applied to sector
studies, and not confined to countrywide extensive explorations of all sectors
The National and International Effects of Regional Policy Choices: Agglomeration Economies, Peripherality and Territorial Characteristics
Quaderni di Ricerca del Dipartimento di Economia dell’Università Politecnica delle Marche.
Number 344, July 201
The regional economist with the crystal ball: a discussion of the possibility of long-term predictions at sub-national level
The regional economist with the crystal ball: a discussion of the possibility of long-term predictions at sub-national leve
Simulating the Impact of Regional Innovation Policies with a Dynamic Model of Regional Knowledge Flows
Regional Innovation and Competitiveness in a Dynamic Representation
This paper combines the various strands of literature on knowledge and innovation as drivers of regional growth in an evolutionary model, representing the internal dynamics of a regional system focusing on Arthurian dynamic increasing returns to scale. The model shows how different evolutionary patterns can arise starting from identical local systems, and that the effects of policies are different depending on the state of the system.
Simulation evolutionary economic geography models also allow to represent the complexity of spatial economic development without radically simplifying it and to formalize concepts which are otherwise only expressed—by economic geographers—as logical arguments
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