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Time-Space Patterns of US Innovation: Stability or Change?

In: Innovation, Networks and Localities

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  • Attila Varga

Abstract

Technological change has long been considered as a primary determinant of economic growth (e.g. Stoneman 1996; Malecki 1991; Gomulka 1990; Porter 1989; Nelson and Winter 1982;Schumpeter 1934). However, the appearance of theoretical attempts to incorporate technological progress explicitly into economics is only a recent phenomenon. According to the `new growth theory’ (e.g. Romer 1986,1990; Lucas 1988; Grossman and Helpman 1994), advances in technology have mainly resulted from market motivated industrial research and development efforts and should therefore be accounted for endogenously in models of economic growth. The traditional scope of economics has been broadened even further by the recently introduced concept of ‘national innovation systems’ (Lundvall 1992; Nelson 1993). In accordance with this framework, technological advance in industry is significantly influenced by several external factors forming nation-specific innovation systems. A national innovation system includes not only networks of innovative companies with research organisations, suppliers and customers, but also several institutional factors, such as the way publicly financed research is organised in a given country, or the nation’s system of schooling, training and financial institutions.

Suggested Citation

  • Attila Varga, 1999. "Time-Space Patterns of US Innovation: Stability or Change?," Advances in Spatial Science, in: Manfred M. Fischer & Luis Suarez-Villa & Michael Steiner (ed.), Innovation, Networks and Localities, chapter 10, pages 215-234, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-58524-1_10
    DOI: 10.1007/978-3-642-58524-1_10
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    Citations

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    Cited by:

    1. Tao Hu & Yin Zhang, 2021. "A spatial–temporal network analysis of patent transfers from U.S. universities to firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 27-54, January.
    2. Lars Mewes, 2018. "Scaling of Atypical Knowledge Combinations in American Metropolitan Areas from 1836 to 2010," Papers in Evolutionary Economic Geography (PEEG) 1841, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2018.
    3. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    4. Varga, Attila, 2004. "Az egyetemi kutatások regionális gazdasági hatásai a nemzetközi szakirodalom tükrében [Regional economic effects of university researches in the light of international literature]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 259-275.
    5. Xiangdong Chen & Ruixi Li & Xin Niu & Ulrich Hilpert & Valerie Hunstock, 2018. "Metropolitan Innovation and Sustainability in China—A Double Lens Perspective on Regional Development," Sustainability, MDPI, vol. 10(2), pages 1-26, February.
    6. Danilo Boffa & Antonio Prencipe, 2021. "The Emerging Contextual Effect of University Spin-offs and its Role in Spurring Innovation in Regional Area," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(6), pages 1-3.
    7. Komikado, Hiroshi & Morikawa, So & Bhatt, Ayushman & Kato, Hironori, 2021. "High-speed rail, inter-regional accessibility, and regional innovation: Evidence from Japan," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    8. Catherine Co & Mark Wohar, 2004. "Technological convergence among US regions and states," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(2), pages 101-126.

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