HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
Innovación: Lecciones de MIT y el Mundo
1. Building Bridges:
Universities and the
Peruvian Innovation System
Professor Scott Stern
MIT Sloan School and NBER
This presentation draws on collaboration between Scott Stern, Michael Porter, Mercedes Delgado, Christian Ketels, Fiona Murray, and work
conducted at the MIT E-Center and the Harvard Institute for Strategy and Competitiveness. No part of this publication may be reproduced, stored in
a retrieval system, or transmitted in any form or by any means - electronic, mechanical, photocopying, recording, or otherwise - without the
permission of Scott Stern.
3. A New Agenda for Peruvian Universities
• Building an Innovator Workforce
• Catalyzing Innovation-Based Entrepreneurship
• Convening the Public and Private Sector to Build a
Peruvian Innovation Economy
3
4. Over the past decade, Peru has experienced exceptional
economic performance
GDP per Capita
(in 1990 PPP US$)
CAGR: CAGR: CAGR:
$6,000
+2.07% 0.73% +4.81%
$5,000
$4,000
$3,000
$2,000
$1,000
$0
1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
–Note: PPP using Geary Khamis calculation methodology. Source: Groningen Growth and Development Centre, Total Economy Database (June 2009)
4
6. Significant reductions in poverty but still much work remains…
60%
50%
40%
% of Population
Under the
30%
Poverty Line
20%
10%
0%
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
–Source: Informacion Socio Demografica, from El Instituto Nacional de Estadistica e6Informatica (INEI), 2010
7. Peru has not yet established itself as a global innovator
Average U.S. patents
per million population,
2005 – 2009
3.5
Croatia
3.0
Estonia
2.5
South Africa
2.0 Greece
Lithuania
1.5 Russia United Arab Emirates
Portugal
Costa Rica
1.0 Poland Argentin Chile
Saudi Latvia China
a
Arabia Uruguay
Mexico
Brazil India
0.5
Ukraine Venezuela
Kazakhstan Philippines
Peru Colombia Thailand Turkey
Egypt Kenya Ecuador
0.0
-30% -20% -10% 0% 10% 20% 30% 40%
CAGR of US-registered patents, 2005 – 2009 170 patents =
Source: USPTO, World Bank 7
8. The Peruvian Innovation Challenge
• Peru has experienced exceptional economic performance
over the past decade
– Grounded in a shift towards sound macroeconomic
policy, openness to international markets and
partners, and the establishment of a higher level of basic
security
– Leveraging natural resources and endowments
• But Peru has not yet established the foundations for an
innovation-driven economy
• Resource-led or cost-based growth has natural limits.
• Peru must start setting the foundations – today -- for an
innovation-driven, knowledge-based economy.
8
9. BUT…
WHAT IS THE ROLE OF PERUVIAN
UNIVERSITIES AND OTHER
KNOWLEDGE INSTITUTIONS IN THIS
NEXT STAGE OF PERUVIAN ECONOMIC
DEVELOPMENT?
9
10. A New Agenda for Peruvian Universities
• Building an Innovator Workforce
• Catalyzing Innovation-Based Entrepreneurship
• Convening the Public and Private Sector to Build a
Peruvian Innovation Economy
10
12. Peru lags neighbors in investments and resources
towards basic education at the primary, secondary and
tertiary level
–Source: UNCTAD Science, Technology and Innovation Policy Review, 2011 12
13. And Supports a Lower Level of Innovation Effort*
* As far as we can tell from incomplete data!
13
14. But…
Higher Education
remains focused on
education training, law,
and administration…
Key STEM areas such
as computer science,
biotechnology, and
nanotechnology
register at very low
levels.
14
15. Fi
n
10.0
12.0
14.0
16.0
18.0
0.0
2.0
4.0
6.0
8.0
Ta lan
i d
Ic wa
N e n Employees
ew J lan
Ze apad
Researchers /1,000
U Swala n
ni D ed n d
te
d en e
St N ma n
at o r k
es r w
2009. Data 2007 except where noted.
(2 ay
0
Fr A Ko 06)
an us r e
ce t r a
C a
an B (20 lia
ad elg 06
a iu )
(2 m
A 005
G us )
er t r
m ia
R an
Sw L u y
itz ux Slo ss
er e m v e i a
l n
Ir e and bo ia
la (2 urg
nd 0
(2 04)
0
U Sl S p 06)
ni o a
te E va in
d s ki
C K to a
ze ing nia
ch Po do
r m
N Re tug
et p a
he ub l
r l
H lan ic
un d
g s
G ar
re y
Ita Po ece
ly la
( 2 nd
Tu 006
)
PeSou C rke
progress in enhancing research intensity
ru th hi y
Starting at a low level, Peru can make great
(e Af na
st ri
i m ca
at
e)
Source: National Science Council, R.O.C., Indicators of Science and Technology, Taiwan, 2008; OECD Science, Technology, and Industry Scoreboard
19. The MIT Inca Bridge Project
Research: John Ochsendorf and colleagues
Teaching: Heather Lechtman, Linn Hobbs and MIT
Undergrads!
19
20. Agenda Items for Peruvian Universities
• Establishing a much higher level of commitment to all
levels of education.
• Prioritizing investments in areas of
science, engineering, and technology education that are
complementary to Peruvian clusters and comparative
advantage
• Ensuring “Mens et Manus” – higher education must be
positioned towards the development of an innovator
workforce that meets the needs of an innovation-
oriented Peru
20
26. MIT Entrepreneurial Impact
Estimated
Percent of Median Median Sales Total Estimated Total
Jobs Companies Employees ($Millions) Employees Sales ($Millions)
More than
10,000 0.3% 15,000 1,523 1,339,361 1,389,075
1,000-
10,000 1.8% 1,927 308 1,043,932 235,532
Less than 97.9% 39 <1 900,001 226,671
1,000
Total
100.0% 155 <1 3,283,294 1,851,278
University alumni impact reflects the growing leverage
over time of numbers, and has great potential.
°Roberts and Eesley, based on ~25,800 active companies. All data are
in “Entrepreneurial Impact: The Role of MIT”
–26
27. Bob Langer has published more than 1100
articles and been granted more than 760
patents…
27
30. Agenda Items for Peruvian Universities
• Establishing specific institutions and programs – tailored
to the strengths of each univeristy – to enhance the
potential for an innovator workforce and commercializing
new technologies and business processes
– Classes combining practitioner and faculty focusing
on opportunity identification and business plan
development
– Business plan competitions that engage across
disciplines, faculties and universities
– Removing roadblocks to commercialization (tech
transfer, etc)
– Celebrating achievement and giving back through
mentoring and the nurturing of the next generation
30
31. Priority #3:
Convening the Public and Private
Sector to Lay the Foundations for the
Peruvian Innovation Economy
31
32. The Peru Cluster Environment
Piura
Agricultural Products:
Mangoes, Lemons, Brown Sugar
Syrup
Cajamarca (Bambamarca)
Dairy, Processed Foods
La Libertad (El Porvenir, Trujillo)
Leather, Footwear
Ancash (Chimbote)
Fishing and Fish Products
Lima (Infantas, Los Olivos)
Metal Manufacturing, Metal
Furniture
Lima (La Victoria)
Apparel
Ica
Wine
Cuzco
Tourism
Puno and Arequipa
Apparel from Alpaca
32
33. Peruvian Clusters and Peruvian Universities
• Peru’s current clusters are based heavily on natural endowments, and
have much room for further upgrading
• Even in areas with significant clusters – such as Cajamarca, Arequipa, and
Moquegua in mining – there have historically been significant
technological bottlenecks
• Though there are some strong universities universities have historically
played a limited role in supporting the development of entrepreneurial firms
that catalyze local clusters.
• There is a limited tradition of collaboration among actors for regional
development
• There is a weak institutional capacity – which could be addressed by
leading Peruvian universities -- hampering the development of clusters.
33
34. HOW CAN UNIVERSITIES HELP
NURTURE PERUVIAN CLUSTERS AND
THEIR ROLE IN THE PERUVIAN
INNOVATION SYSTEM
34
Key evidence on the link between clusters and economic outcomes Related clusters: The European cluster memorandum talks about the need to develop regional portfolios of related clusters; this is based on the evidence presented here Neighboring regions: If Europe focuses on linking clusters across regions, it needs to focus on those in neighboring clusters. The old model of always creating linkages across all of Europe is not effective
Key evidence on the link between clusters and economic outcomes Related clusters: The European cluster memorandum talks about the need to develop regional portfolios of related clusters; this is based on the evidence presented here Neighboring regions: If Europe focuses on linking clusters across regions, it needs to focus on those in neighboring clusters. The old model of always creating linkages across all of Europe is not effective
Key evidence on the link between clusters and economic outcomes Related clusters: The European cluster memorandum talks about the need to develop regional portfolios of related clusters; this is based on the evidence presented here Neighboring regions: If Europe focuses on linking clusters across regions, it needs to focus on those in neighboring clusters. The old model of always creating linkages across all of Europe is not effective
Key evidence on the link between clusters and economic outcomes Related clusters: The European cluster memorandum talks about the need to develop regional portfolios of related clusters; this is based on the evidence presented here Neighboring regions: If Europe focuses on linking clusters across regions, it needs to focus on those in neighboring clusters. The old model of always creating linkages across all of Europe is not effective