Science Parks and Business Incubation in the United Kingdom: Evidence from University Spin-Offs and Staff Start-Ups

Author(s):  
David B. Audretsch ◽  
Maksim Belitski
1988 ◽  
Vol 2 (4) ◽  
pp. 253-254
Author(s):  
A.K. Giles

The last decade has seen the emergence and growth in this country, and elsewhere, of science parks. In 1984 the United Kingdom Science Park Association (UKSPA) was set up with eight founder members. The mushrooming that followed meant that by 1986 the Association could report 28 fully operated parks, seven others under construction and a number of Associate Members, of which Reading University was one.


Author(s):  
Ross Brown ◽  
Augusto Rocha ◽  
Marc Cowling

This commentary explores the manner in which the current COVID-19 crisis is affecting key sources of entrepreneurial finance in the United Kingdom. We posit that the unique relational nature of entrepreneurial finance may make it highly susceptible to such a shock owing to the need for face-to-face interaction between investors and entrepreneurs. The article explores this conjecture by scrutinising a real-time data source of equity investments. Our findings suggest that the volume of new equity transactions in the United Kingdom has declined markedly since the outbreak of the COVID-19 pandemic. It appears that seed finance is the main type of entrepreneurial finance most acutely affected by the crisis, which typically goes to the most nascent entrepreneurial start-ups facing the greatest obstacles obtaining finance. Policy makers can utilise these real-time data sources to help inform their strategic policy interventions to assist the firms most affected by crisis events.


2019 ◽  
Author(s):  
Juan Antonio Lloret Egea

The situation of Spain together with that of other surrounding countries has been analysed through different studies. A recent OECD report31 indicates that private equity investment in start-ups focused on AI in Spain between 2011 and mid 2018 is 3% of the total amount invested in start-ups based in the EU, well behind France (13%), Germany (14%) or the United Kingdom (55%). According to the study carried out by the consulting firm Roland Berger “Joining the dots- A map of Europe ́s AI Ecosystem”32, the four most important AI countries in Europe are the United Kingdom, France, Germany and Spain, which contribute 60% of start-ups, laboratories and communities33 of the 30 countries analysed (EU, plus Switzerland and Norway).Although the first three countries alternate in terms of the different measures used (for example, the United Kingdom clearly stands out in the number of start-ups and France in the number of laboratories), Spain ranks fourth, closely followed by countries classified in the group of emerging countries as the so-called “followers”. These data show that there is ample room for improvement with a better system of cooperation between agents and that the technological investment made so far in Spain is insufficient and that, in short, without solving these two aspects there will not be a favourable environment for AI technologies in our country. However, the situation in the EU is also not very encouraging when we observe that these EU investments account for 8% of global investment in 2017 (China and the US account for almost 85% of investment).Despite this, the European Commission's The European AI Landscape34 report gives evidence of Europe's leading role in being “at the forefront of AI and robotics, as evidenced by the excellent scientific position of European researchers, including several world experts in AI from Europe.”This European situation, characterized by insufficient public and private investment in a context of a global race to develop and incorporate AI technologies in the different areas of socio-economic impact, requires Spain to play a leading role, as is expected of our capabilities, with AI research groups of excellent international level, and where most universities already offer relevant engineering programs. University training in AI has some of the oldest and most consolidated postgraduate, masters and doctoral programs in Europe with more than 3 decades of history. According to RD 1393/200735 and RD 99/201136, which regulate official university and doctoral education, there are 11 current Master Courses and 2 doctoral programmes, although there are other official programs that include the study of AI in their curricula.


2020 ◽  
Vol 9 ◽  
pp. 678-682
Author(s):  
Maria Gabriela Coloma

Today, Peru is witnessing an exponential growth in Fintech, both in number local start-ups being founded and international scale-ups arriving to the country. However, the lack of government regulation on the topic slows down the growth of Fintech because it depletes such industry of consumer and investor confidence. This research aims to explore what regulatory framework Peru should adopt as a response to the unstoppable growth in Fintech within the nation. The study takes a comparative approach, analyzing Fintech regulation in three different countries: Mexico, Brazil and the United Kingdom. The study finds that Peru should follow Brazil´s footsteps in enacting strong, detailed and strict regulation which will result in improving local consumer trust and in attracting foreign investment into the Peruvian Fintech industry. Plus, the study suggests that Peru should centralize Fintech regulation with one single authority, such as the Financial Conduct Authority in the case of the United Kingdom.


1992 ◽  
Vol 10 (4) ◽  
pp. 411-422 ◽  
Author(s):  
D Massey ◽  
D Wield

In this paper we report on one aspect of ‘methodology’ as developed in a recent research project. The project was an investigation of the implications of science parks as they are currently being developed in the United Kingdom. And the issue which is reported here is that of conceptualisation—how to conceptualise the central object of study: the science park. A comparison is made between the ‘popular’ definition and one which was arrived at during the research project. This latter mode of conceptualisation follows a broadly critical-realist approach, and we draw out the causal powers which are associated with the definition. This enables a different form of policy-evaluation from the usual empirical assessment of ‘outcomes’. The discussion of this particular case also allows a number of other reflections on the debate around the realist approach to research.


2010 ◽  
Vol 8 (1) ◽  
pp. 743-757
Author(s):  
Shrimal Perera ◽  
Tabita Bertsch ◽  
Jayasinghe Wickremanayake

This study investigates the effect of exit market liquidity on venture capitalists’ (VCs’) investment behaviour. The sample consists of 4,758 investment rounds disbursed by venture capital funds in three selected common law-based OECD countries (Australia, Canada and the United Kingdom) during 1990-2005. The results indicate that investments in early-stage projects by VCs are not related to exit market liquidity conditions after controlling for exogenous factors. Empirical results, however, show that exit market liquidity is positively associated with VCs’ investments in new projects (as opposed to follow-on projects). Put differently, new firms (including start-ups) are more likely to obtain venture capital funding during times of liquid exit market conditions. Arguably, these findings highlight the importance of ‘timing’ of new project launch


2009 ◽  
pp. 1-6 ◽  
Author(s):  
Nishan Fernando ◽  
Gordon Prescott ◽  
Jennifer Cleland ◽  
Kathryn Greaves ◽  
Hamish McKenzie

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