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Space and time in German innovative ...
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Germany
Space and time in German innovative activityregional allocation patterns, determinants and geo-econometric models /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Space and time in German innovative activityby Imke Rhoden.
Reminder of title:
regional allocation patterns, determinants and geo-econometric models /
Author:
Rhoden, Imke.
Published:
Wiesbaden :Springer Fachmedien Wiesbaden :2019.
Description:
xvi, 224 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Technological innovationsEconomic aspectsGermany.
Subject:
GermanySocial policy.
Online resource:
https://doi.org/10.1007/978-3-658-28600-2
ISBN:
9783658286002$q(electronic bk.)
Space and time in German innovative activityregional allocation patterns, determinants and geo-econometric models /
Rhoden, Imke.
Space and time in German innovative activity
regional allocation patterns, determinants and geo-econometric models /[electronic resource] :by Imke Rhoden. - Wiesbaden :Springer Fachmedien Wiesbaden :2019. - xvi, 224 p. :ill. (some col.), digital ;24 cm.
Regional Allocations of Innovative Activity -- The Case of 3D Printing -- Regional Determinants of Innovative Activity -- Geoadditive Modeling of Diverging Allocations -- Innovative Activity over Space and Time -- Spatiotemporal Modeling of Innovation Promoting Factors.
Three analyses show regional and temporal behavior and determinants of innovation activity in Germany in the timeframe 2000-2016. Techniques as kernel density estimation and geoadditive modeling allow gaining insights into the allocation of innovation economics. On the geographical level of administrative districts innovation and its theory-based determining factors are connected. Estimation methods also add to the explanatory content of the models, partly assisted by the usage of Bayesian prior knowledge. The results allow explicit economic and political consequences and offer possibilities for detailed support of innovation and economic growth. The reflection of the estimated effects back onto regions can increase understanding of the spatial characteristics of innovation. Contents Regional Allocations of Innovative Activity - The Case of 3D Printing Regional Determinants of Innovative Activity - Geoadditive Modeling of Diverging Allocations Innovative Activity over Space and Time - Spatiotemporal Modeling of Innovation Promoting Factors Target Groups Scientists and students of economic policy, regional economics, economic development, and econometrics Practitioners in the same fields The Author Imke Rhoden is research assistant at the chair of Economic Policy 3 at the Ruhr-Universitat Bochum. Their scientific focus is directed at spatial modeling of innovation and economic growth and applications for economic policy.
ISBN: 9783658286002$q(electronic bk.)
Standard No.: 10.1007/978-3-658-28600-2doiSubjects--Topical Terms:
560919
Technological innovations
--Economic aspects--Germany.Subjects--Geographical Terms:
383957
Germany
--Social policy.
LC Class. No.: HC290.5.T4 / R46 2019
Dewey Class. No.: 338.064
Space and time in German innovative activityregional allocation patterns, determinants and geo-econometric models /
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regional allocation patterns, determinants and geo-econometric models /
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by Imke Rhoden.
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ill. (some col.), digital ;
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Regional Allocations of Innovative Activity -- The Case of 3D Printing -- Regional Determinants of Innovative Activity -- Geoadditive Modeling of Diverging Allocations -- Innovative Activity over Space and Time -- Spatiotemporal Modeling of Innovation Promoting Factors.
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Three analyses show regional and temporal behavior and determinants of innovation activity in Germany in the timeframe 2000-2016. Techniques as kernel density estimation and geoadditive modeling allow gaining insights into the allocation of innovation economics. On the geographical level of administrative districts innovation and its theory-based determining factors are connected. Estimation methods also add to the explanatory content of the models, partly assisted by the usage of Bayesian prior knowledge. The results allow explicit economic and political consequences and offer possibilities for detailed support of innovation and economic growth. The reflection of the estimated effects back onto regions can increase understanding of the spatial characteristics of innovation. Contents Regional Allocations of Innovative Activity - The Case of 3D Printing Regional Determinants of Innovative Activity - Geoadditive Modeling of Diverging Allocations Innovative Activity over Space and Time - Spatiotemporal Modeling of Innovation Promoting Factors Target Groups Scientists and students of economic policy, regional economics, economic development, and econometrics Practitioners in the same fields The Author Imke Rhoden is research assistant at the chair of Economic Policy 3 at the Ruhr-Universitat Bochum. Their scientific focus is directed at spatial modeling of innovation and economic growth and applications for economic policy.
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Economics and Finance (Springer-41170)
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EB HC290.5.T4 R475 2019 2019
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https://doi.org/10.1007/978-3-658-28600-2
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