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Prognozuvannja vplyvu innovacijnych faktoriv na rozvytok ekonomiky Ukrai͏̈ny
Aleksandrova, V. P.; Skrypnyčenko, M. Y.; Fedulova, L. Y. - In: Ekonomika i prohnozuvannja : naukovyj žurnal (2007) 2, pp. 9-26
Persistent link: https://www.econbiz.de/10003662879
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Policy transfer through research networks : the example of urban road pricing ; city toll (Forum)
Sikow-Magny, Catharina; Rommerts, Marcel - In: CESifo DICE report : journal for institutional comparisons 3 (2005) 3, pp. 22-27
Persistent link: https://www.econbiz.de/10003179699
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Learning from science and technology policy evaluation : experiences from the United States and Europe
Shapira, Philip (ed.); Kuhlmann, Stefan (contributor) - 2003
Persistent link: https://www.econbiz.de/10001725866
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Innovation policy and the economy
Chicago, Ill. : Univ. of Chicago Press; -2007: … - 1.2000 - 20.2020; damit Ersch. eingestellt
Persistent link: https://www.econbiz.de/10001621013
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The impact of European policies towards science and technology on the European research landscape
Backhaus, Jürgen G. - 1996
Persistent link: https://www.econbiz.de/10000964151
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The impact of European policies towards science and technology on the European research landscape
Backhaus, Jürgen G. - In: Europe's challenges : economic efficiency and social …, (pp. 247-289). 1996
Persistent link: https://www.econbiz.de/10001292632
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Does government support stimulate private R&D?
Guellec, Dominique; VanPottelsberghe DeLaPotterie, Bruno - In: OECD journal: economic studies (1997) 2, pp. 95-122
Persistent link: https://www.econbiz.de/10001379867
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Innovation policy and the economy
Chicago : Univ. of Chicago Press; u.a.]] : MIT Press … - 1.2001 -
Persistent link: https://www.econbiz.de/10001565382
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R&D management at a time of crisis : what are we learning from the initial response to the COVID-19 pandemic?
Mortara, Letizia; Manzini, Raffaella; Dooley, Lawrence; … - In: R & D management 52 (2022) 2, pp. 157-164
Persistent link: https://www.econbiz.de/10013163016
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The Elasticity of Science
Myers, Kyle - 2019
This paper identifies the degree to which scientists are willing to change the direction of their work in exchange for resources. Data from the National Institutes of Health are used to estimate how scientists respond to targeted funding opportunities. Inducing a scientist to change their...
Persistent link: https://www.econbiz.de/10012899335