Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/124404 
Erscheinungsjahr: 
2014
Schriftenreihe/Nr.: 
54th Congress of the European Regional Science Association: "Regional development & globalisation: Best practices", 26-29 August 2014, St. Petersburg, Russia
Verlag: 
European Regional Science Association (ERSA), Louvain-la-Neuve
Zusammenfassung: 
We use a dynamic model to study the effects of technology and learning on the long run economic growth rates of a leading and a lagging region. New technologies are developed in the leading region but technological improvements in the lagging region are the result of learning from the leading region's technologies. Our analysis sheds light on four salient questions. First, we determine the long run growth rate of output per human capital unit in the leading region. Second, we define a lagging to leading region technology ratio, study its stability properties, and then use this ratio to ascertain the long run growth rate of output per human capital unit in the lagging region. Third, for specific parameter values, we analyze the ratio of output per human capital unit in the lagging region to output per human capital unit in the leading region when both regions have converged to their balanced growth paths. Finally, we discuss the policy implications of our analysis and then offer suggestions for extending the research described here.
Schlagwörter: 
Economic Growth
Lagging Region
Leading Region
Learning
Technology
JEL: 
R11
R58
O33
Dokumentart: 
Conference Paper

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