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1. |
Record Nr. |
UNINA9910783653903321 |
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Titolo |
Competitiveness, localised learning and regional development : specialisation and prosperity in small open economies / / Peter Maskell. [et al.] |
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Pubbl/distr/stampa |
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New York ; ; London : , : Routledge, , 1998 |
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ISBN |
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1-134-73482-4 |
1-134-73483-2 |
1-280-33084-8 |
0-203-27692-2 |
0-203-03016-8 |
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Descrizione fisica |
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1 online resource (273 p.) |
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Collana |
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Routledge Frontiers of Political Economy |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Competition |
Economic development |
International economic integration |
Regional economics |
Economic specialization |
Communities - Urban Groups |
Sociology & Social History |
Social Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (pages 215-245) and indexes. |
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Nota di contenuto |
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Book Cover; Title; Contents; List of figures; List of tables and cases; About the authors; Foreword by Michael Storper; Preface; Regional specialisation and localised learning; An introduction; Ubiquitification, knowledge and localised capabilites; Sustainable patterns of specialisation in a globalised economy; Firm competitiveness through knowledge creation; Localised capabilities and the competitiveness of regions and countries; Small countries, localised learning and lack of learning: the cases of furniture, fish and phones |
Small nations: how to sustain prosperity in open, low-tech |
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economiesComfort and competitiveness: the wooden furniture industry; Natural resources and the institutional endowment: the fishing industry; Footloose communications: the mobile phone industry; Conclusions and policy implications; Towards a learning-based industrial and regional policy; Notes; References; Author index; Subject index |
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Sommario/riassunto |
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Drawing on a rich literature and case study material from selected industries, and elaborating on key concepts such as firms and competencies, industries and industrial systems, and competitiveness and prosperity, this book sets out to answer three broad research questions: * What is competition about in today's economy? * Why do geographical areas (local milieus, cities, regions, countries) specialize in particular types of economic activity, and why do patterns of specialization, once in place tend to be so tremendously durable? * How can high-cost regions in general and small in |
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2. |
Record Nr. |
UNINA9910878974603321 |
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Autore |
Resnick Sidney |
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Titolo |
The Art of Finding Hidden Risks : Hidden Regular Variation in the 21st Century / / by Sidney Resnick |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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9783031575990 |
9783031575983 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (272 pages) |
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Disciplina |
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Soggetti |
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Stochastic processes |
Probabilities |
Stochastic Processes |
Applied Probability |
Anàlisi multivariable |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1 Foundation -- 2 Regular Variation -- 3 Hidden Regular Variation -- 4 Lévy Processes with Regularly Varying Distributions: Where Do the Jumps Go? -- 5 Statistics -- A A Crash Course on Regularly Varying Functions -- B Notation Summary -- References -- Index. |
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Sommario/riassunto |
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This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis. Emphasizing regular variation of measures means theory can be presented systematically and without regard to dimension. Tools are developed that allow a flexible definition of "extreme" in higher dimensions and permit different heavy tails to coexist on the same state space leading to "hidden regular variation" and "steroidal regular variation". This emphasizes when estimating risks, it is important to choose the appropriate heavy tail. Theoretical foundations lead naturally to statistical techniques; examples are drawn from risk estimation, finance, climatology and network analysis. Treatments target a broad audience in insurance, finance, data analysis, network science and probability modeling. The prerequisites are modest knowledge of analysis and familiarity with the definition of a measure; regular variation of functions is reviewed but is not a focal point. |
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