8,049 research outputs found
Beyond the Knowledge-Based Theory of the Geographic Cluster
The knowledge-based theory of the geographic cluster represents a major attempt to re-conceptualize clusters, in essence arguing that the localization of firms in similar and related industries stimulates learning and innovation, giving a competitive advantage to clustered firms. This paper critically examines the knowledge-based theory the cluster, arguing that it has greatly overstated the advantages of co-location to firms and misidentified the mechanisms through which learning occurs in clusters. In particular, the theory is criticized on three points: the flexible, under-specified way that it defines its object of study; the focus on firms as an explanatory variable instead of more fundamental processes of resource accumulation; and the functionalist mode of theory that employs as an explanation. Ways to address of each of these issues are discussed. In a final section I suggest that the rather static notions of learning put forward in the knowledge-based theory of the cluster be replaced by a developmental theory of regional dynamics that focuses on both learning and structural transformation.geographic cluster, localization, relatedness, knowledge-based theory
GPS calibrated ad-hoc localization for geosocial networking
LNCS v. 6406 is conference proceedings of UIC 2010Cost-effective localization for large-scale Geosocial networking service is a challenging issue in urban environment. This paper studies an ad-hoc localization technique which takes advantages of short-range interchanged location information for calibrating the location of mobile users carrying non-GPS mobile phones. We demonstrate by simulation that a small percentage of GPS-enabled mobile phones can greatly enable the localization of other non-GPS pedestrians in the urban environment. Based on the proposed localization technique, we implement a location-aware social networking tool called Mobile Twitter, similar to the microblogging service of Twitter, for fast propagation of social events happening in surroundings. Evaluation shows the our localization algorithm can achieve better accuracy of the location estimation and wider coverage as compared with the Amorphous algorithm and the Monte Carlo Localization (MCL) method. Moreover, we show that the Mobile Twitter implemented on an Android mobile phone is power-efficient in real-life usage scenarios. © 2010 Springer-Verlag.postprintThe 7th International Conference on Ubiquitous Intelligence and Computing (UIC) 2010, Xi'an, China, 26-29 October 2010. In Lecture Notes in Computer Science, 2010, v. 6406, p. 52-6
Diffusion of global climate policy: National depoliticization, local repoliticization in Turkey
Although climate policy diffusion is widely studied, we know comparatively little about how these global policies and the norms that surround them are used by various political actors seeking to advance their own agendas. In this article, we focus on how global climate norms are diffused differently at national and local scales and used to repoliticize or depoliticize climate change. We focus on the case of Turkey, which carries the stark contrast of showing willingness to achieve global climate goals in the international arena but less so in domestic politics and actions. The article employs a novel methodological approach, using topic modeling and network analyses on a range of climate changeârelated policy documents, and interviews with high-level officers, conducted at the three jurisdictional levels in Turkey. The findings reveal that although global climate policy is diffused to both national and local governments, it is used in different ways at these levels. The national government uses climate policy diffusion to depoliticize climate change by creating ad hoc climate coalitions and limiting local climate actions to seeking external climate-related funds. Meanwhile, the metropolitan municipalities replicate nationally adopted climate goals, whereas the district municipalities domesticate ambitious climate norms and repoliticize climate change via local climate entrepreneurs and civic action. The paper contributes to understanding how climate policy diffusion and norm domestication can have different political outcomes in achieving global climate goals and argues for increased policy attention to the strategic use of climate policy diffusion for the depoliticization of climate change.publishedVersio
A sustainable requalification of Bracciano lake waterfront in Trevignano Romano
This paper describes the first interventions carried out in accordance with the results of the three years bilateral research SoURCE (Sustainable Urban Cell) performed by CITERA (Inter department Centre for Territory, Building, Conservation and Environment) of the Sapienza University of Rome and the Department of Urban Planning and Environment of the Royal Institute of Technology of Stockholm (KTH) regarding urban redevelopment and distributed micro-generation of buildings. The location is the municipality of Trevignano Romano in the area (urban cell) of the lake waterfront aimed at the integration of all facilities that will increase the tourist accommodation of the area. The concept of the project is to utilize empty spaces, in all lake waterfronts, for the construction of public toilets and showers, introduction of electric boat and bike rental for sightseeing with charging stations and construction of an energy efficient wooden prefabricated building to be used as a general shop for tourists (closest analogue service is about 3 km). The research is included in the executive programme for the scientific and technical cooperation between the Kingdom of Sweden and the Republic of Italy, in the area defined âEnergy and Environment: Sustainable Citiesâ
Cluster Analysis using Microgreographic data
In this paper we try to identify manufacturing and service clusters in Spain, using data from Mercantile Registers of 2006. The proposed methodology partially follows contributions of Duranton and Overman (2005), Brenner (2003 and 2004) and Ellison and Glaser (1997), but departing from them we improve such approaches by several ways. In order to sum up, we can detail our approach and divide it into five stages. Firstly, we divide space into homogeneous cells. Secondly, we create industry specific maps departing from firmsĂ¹ùâÂŹĂąâÂą georeferenced data. Thirdly, we create multiple random industry specific maps under two conditions: i) total number of firms at each industry remains constant and ii) total number of firms at each cell remains constant. Fourthly, we compare the observed spatial distribution of firms with random simulations of such distribution and we check if there is some kind of concentration compared to the random distribution. Fifthly, for each industry we map the areas where the concentration of firms is significantly higher than expected. Previous scheme allows us to identify real clusters (of different shapes and sizes) for all range of manufacturing and service activities and to use this information to design public policies related to such industries. Keywords: cluster analysis, geographic data, microeconomics, regional economics.
LOCATION STRATEGIES BASED ON DISCRETE CHOICE MODELS: AN EMPIRICAL APPLICATION TO SUPERMARKET LOCATION
In this paper we present a theoretic two-stage model for retailers location and consumers purchase decision. Retailers decision problem is formalized in terms of a zero-sum game, whose payoffs refers to retailers' market share and consumers decision problem is formalized in terms of a discrete choice model, based on random utilities. The theoretical models provide forecasting of equilibrium market shares and the locations to be chosen by retailers, in terms of the geographic distribution of the underlying location space (constituencies of the town), population distribution and characteristics (types) of the consumers.Hotelling, Industrial Organization, Choice Model
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