General purpose technologies

By Cliff T. Bekar, Erinn L. Haswell. 2013

356 citations recorded by the source corpus.

Subfields: Urban Studies, Evaluation & Benchmarks, Economics & Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Urban Studies

1. E. Stam
2. Michael Latzer
3. David B. Audretsch
4. Natascha Just
5. Sandro Montresor
6. F. Quatraro

In Evaluation & Benchmarks

1. Tom B. Brown
2. Sandro Montresor
3. F. Quatraro

In Economics & Operations Research

1. Tom B. Brown
2. David B. Audretsch
3. Sandro Montresor
4. F. Quatraro

Citations in the corpus

• Measuring the Algorithmic Efficiency of Neural Networks (2020, background): “From the start of information technolology era it was about 30 years before personal computers were in more than half of US homes [Jovanovic & Rousseau, 2005] (similar timeline for personal computers).”
• Governance by algorithms: reality construction by algorithmic selection on the Internet (2017, background): “…are both instruments and outcome of governance (Katzenbach, 2012), they are part and result of a coevolutionary process. purpose technologies (Bresnahan, 2010) with impacts on a wide range of societal fields, they are enabling technologies with a certain impact in connection with and…”
• Regional Branching and Key Enabling Technologies: Evidence from European Patent Data (2017, background): “…base of a national/regional economy (e.g., the widespread industrial use of nanotechnologies) and the complementarity between inventions and applications in their development (e.g., the application of a newly invented biotechnology to a new maritime resources exploitation) (Bresnahan 2010).”
• What Do We Learn from Schumpeterian Growth Theory (2013, unknown): “…and are therefore able to survive the process of creative destruction at work as the GPT diffuses to the various sectors of the economy.25 24While Jovanovic and Rousseau (2005) provide evidence for the first three predictions, we refer the reader to Acemoglu (2002; 2009), Aghion, Caroli and…”
• Growth, Slowdowns, and Recoveries (2019, unknown): “In other words, the optimal response to variations in the marginal return of technology mostly consists of adjusting technology adoption 1See, for example, Jovanovic and Rousseau (2005) and Gordon (2010) for surveys.”
• Green technologies and Smart Specialisation Strategies: a European patent-based analysis of the intertwining of technological relatedness and key enabling technologies (2018, background): “In particular, it could be claimed that the last two of them – i.e. advanced materials, and advanced manufacturing technologies – have wider GPT properties than the previous four.”
• Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics (2017, unknown): “In this case, these sectors’ shares of total expenditure will shrink, shifting activity Bresnahan and Trajtenberg (1996) argue that a GPT should be pervasive, able to upon over time, and be able to spawn complementary innovations.”
• The rise of the entrepreneurial economy and the future of dynamic capitalism (2013, background): “Jovanovic and Rousseau (2005) present examples from the advent of the electricity and IT industries and their effects on the US economy, and more recently, Brynjolfsson and McAfee (2012) show that there has never been a better time to be a talented entrepreneur than in the current ICT revolution,…”
• The Rise of American Ingenuity: Innovation and Inventors of the Golden Age (2017, unknown): “Our time period covers a period in US history when income inequality was high (Goldin and Katz (1999), Piketty and Saez (2003)), and it was also associated with the diffusion of electricity as a major twentieth century general purpose technology(Jovanovic and Rousseau (2005)).”