https://hdl.handle.net/10419/113361 Mon, 05 Oct 2026 00:56:52 GMT 2026-10-05T00:56:52Z https://hdl.handle.net/10419/118851 Title: Universities' foundation and regional development Authors: Slavtchev, Viktor; Noseleit, Florian Abstract: Universities are assumed to be agents of change. The underlying assumption is that they create new technological knowledge and opportunities that may cause some industries to decline and to disappear and other industries to emerge and to growth. In fact, previous research provides some evidence that the spatial and temporal emergence and evolution of industries, particularly knowledge intensive ones, is related to public research. Against this background, this paper analyzes the impact of the foundation of universities on structural change in the region. In particular, we use information about the foundation of universities in West German regions over the period from 1975 to 2002. Structural change in the region is measured by the Modified Lilien Index (MLI) based on employment shares in 19 NACE 2-digit private industries. The MLI index is calculated for every West German region and measures the change in the sectoral composition of employment in the region between two points in time. The proposition that foundation of a university foster structural change in the region is empirically tested by applying difference-in-difference approach. This underlying idea is to compare the growth difference in the MLI of two groups of regions: such that have been exposed to a treatment (foundation of a university), and such that have been not. The average treatment effect is then calculated as the growth difference of the structural change index between the two groups. Moreover, regarding the impact of university's foundation, two additional effects are considered. First, the impact of university's foundation may occur with a certain time lag since some time is required for academic knowledge to disseminate to the private economy. Possible reasons for such time lags may be that some time is required for students to graduate, and for university-industry collaborations and academic entrepreneurship to take place. Second, the impact of university's foundation may be not one-shot but rather permanent. Moreover, it seems reasonable to assume that universities are rather small at the time of foundation and growth over time to reach an optimal size. The results of the empirical analysis provide evidence that universities may act as agents of change. Fri, 01 Jan 2010 00:00:00 GMT https://hdl.handle.net/10419/118851 2010-01-01T00:00:00Z https://hdl.handle.net/10419/118960 Title: A comparative analysis of the location behaviour of the global semiconductor manufacturers Authors: Arita, Tomokazu; McCann, Philip Abstract: In this paper, we explain the structure and technological relationships between the different sub-sectors of the global semiconductor industry, by analyzing firm-level micro data including production technological indices of wafer manufacturing processes and firm-alliances. Our results indicate that the economic geography and the location behavior of the global semiconductor industry are diverse and also fundamentally different to the types of location behavior commonly accepted in the past academic arena. Fri, 01 Jan 2010 00:00:00 GMT https://hdl.handle.net/10419/118960 2010-01-01T00:00:00Z https://hdl.handle.net/10419/119019 Title: Developing an Object Oriented Model of Critical Success Factors for Clusters: The Linkˆping Information and Communication Technologies Cluster Test-Case Authors: Tavassoli, Sam; Tsagdis, Dimitrios Abstract: An object oriented model (OOM) of critical success factors (CSFs) for clusters is developed on the basis of an extensive and critical review of the literature. The model is tested, as a proof of concept, in the Linköping information and communication technologies (ICT) cluster, Sweden. The model is flexible, scalable, and open-ended, applying equally to particular clusters as well as to clusters in general. The model aims to act both as a diagnostic tool for CSFs in particular clusters as well as a framework for policy and research in general. The model encompasses some 21 CSFs (e.g. trust, vision, knowledge) that belong or depend on one or more objects (e.g. firms, institutions, entrepreneurs) relevant to a cluster. A Venn diagram is initially developed on the basis of the literature to help delineate the relevant objects and is subsequently translated into the aforementioned model. The testing of the model follows a cluster life-cycle approach and ranks the 21 CSFs in terms of their relevance during different stages in the life-cycle of the Linköping ICT cluster. It is argued that the importance of different CSFs varies throughout a cluster's life-cycle concluding with some relevant policy implications and areas of further research. Fri, 01 Jan 2010 00:00:00 GMT https://hdl.handle.net/10419/119019 2010-01-01T00:00:00Z https://hdl.handle.net/10419/119243 Title: The growth of creative industries in Korean cities Authors: Kim, Ho Yeon Abstract: Recently, the so-called creative industry is gaining attention as a new engine of regional economic growth. Using this new industrial classification, many countries are starting to promote the cultural creation activities with the purpose of seeking out new directions in regional development. The synergy effects can also be attained by promoting the traditional sectors to the creative industry. This concept is useful not only for mega cities like Tokyo, Seoul, Beijing and Shanghai, but also for smaller local cities such as Kitakyushu, Fukuoka, Busan, Incheon, Tianjin, and Yantai. Since capital and human resources are rather limited in these local cities, applying the said concept can exert newfound energy for urban development. Although there is an old industrial culture of manufacturing embedded in Kitakyushu City, for example, the facilities and institutes of some other cultures and sports have been promoted separately. In order to reap the full benefit, it is needed to tear down the barriers between them, and combine the existing industries, facilities, and support organizations in a more systematic way. In this paper, we will explore these aspects by using census data as a general guide and interviews with selected cultural and sports organizations as well as entrepreneurs as a case study. Specifically, we will investigate the city planning practice and growth policy regarding cultivation of creative industry, and investigate possible cooperation among the cities in Pan Yellow-Sea region based on cultural or sports activities. Regarding general study, we recount the industrial classification of existing census data according to the definition of the creative industry by the UK (see London's Creative Sector: 2004 Update and Creative Industries Economic Estimates Statistical Bulletin), adding the tourism industry. Based on this definition, we can clarify the trends of creative industry at the country level and city level of Japan, China and South Korea after 1990. It would reveal the true potential of the creative industry as a long-term facilitator of the regional economy. Fri, 01 Jan 2010 00:00:00 GMT https://hdl.handle.net/10419/119243 2010-01-01T00:00:00Z