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Innovation and nanotechnology development
                in China and Russia


           Evgeny Klochikhin, PhD Researcher,
            Manchester Business School, UK
CEELBAS Workshop on Russia’s Skolkovo in Comparative and
     Historical Perspective, London, UK, 13 June 2012
Theoretical dilemmas
• Is BRICS an academically valid concept?
• What is the global innovation system: a firm-
  centered network or a set of distinct NIS?
• How to apply the NIS approach in developing
  countries: a heterogeneity discussion
• Can we transfer the transition experience of
  CEE countries to Asia?
Research questions
• How Russia and China can exploit their science and
  technology (S&T) history to promote indigenous innovation
  development and resolve the weaknesses of the former
  state planning system?
• Are there any particular complementarities between the
  Russian and Chinese innovation that can contribute to their
  socioeconomic development?
• What are the current and emerging opportunities for
  mutual leaning between the two countries?
• What is the role of technology-based growth strategies in
  this process?
Social and political status
  of science and technology
                              STI policy system

        RUSSIA and CHINA
 Quality of STI and
technology transfer
                      System of IPR protection
Soviet S&T system
      Strengths                              Weaknesses
      • High profile and continuity of       •   Lack of S&T equipment in research institutes
                                             •   Inhibited information flows
        science
                                             •   Separation of research and teaching
      • Support of highly-qualified S&T      •   Technological ‘backwardness’
        personnel                            •   Low productivity and rates of ROI
                                             •   Weak technology diffusion
      • Good level of theoretical research
                                             •   Risk averse culture
      • Massive resource allocation to       •   Weak computing capability
        S&T                                  •   Poor training of researchers
                                             •   Rampant departmentalism and political
      • Block system of science funding          involvement
      • Prioritization of most important     •   Emphasis on the military
        S&T projects                         •   Corruption and nepotism
                                             •   Lack of enterprise autonomy
      • Knowledge as a public good that      •   Reluctance to dissolve unsuccessful SOEs
        can be freely used by all agents     •   Imbalance between risk and reward for
                                                 innovating
                                             •   Lack of mission-oriented approach
                                             •
(Klochikhin, 2012)                               Low patenting activity
Historical perspective
    USSR/Russia                  China
                 2003-present                    1997-present
                 Reform                          Back on track
1980-1990s              1990s Post-
                        Tian’anmen Decline       1978-1992
Decline
                               1966-1976         Open Door Policy
                1960-1970s
                               Cult revolution
                STI frontier
 1930-1950s                                      1950s
 Lysenkoism                                      S&T expansion
                                     1949
                 1917
                                                  1911
From S&T to innovation:
          system transition
• Linear (sciencetechnologymarket) to
  complex innovation model
• Network creation and establishment of
  brokers: MNCs? FDI? Government?
  (Radosevic, 1999)
• Four pillars: the structure of economic
  organization, price formation, decision
  rules, and incentives (Lange and Taylor, 1938)
Opportunities for mutual learning
• Turning universities into research institutions
• Rethinking the state planning legacies
• Finding effective ways to employ state-owned
  enterprises as major innovation actors
• FDI and knowledge spillovers – not an only solution for
  innovation growth
• Development zones and SEZs: extensive vs. intensive
• Regional spread: more infrastructure investment
• Mega-projects: good strength of prioritization?
• Turning ‘brain drain’ into ‘brain gain’
China-Singapore Suzhou Industrial Park
• Covers 288 sq.km
• CAS institutes, 24 universities and colleges in Suzhou, 1,400,000
  university students in Jiangsu Province
• China-Singapore agreement in 1992, launched in 1994
• Ownership: 52% Chinese govt, 26% Singapore govt, rest – private
  investors
• Mostly manufacturing, since 2000 rapid building of innovation
  capabilities (SISPark; Nanopolis-Suzhou, etc.)
• Good local embeddedness: Dushu Lake Higher Education Town - “18+
  universities, 1 institute and multiple parks", 70,000 students
• Important zeal for innovation by local (SIP), regional (Jiangsu), and
  central govt
• SIP govt is a separate authority NOT under the Suzhou municipality
• Many local incentives for start-ups
Major challenges: lessons for Skolkovo
• China pursues extensive growth strategies: no limits to the number of
  industrial parks and SEZs (tax incentives are also massive and have
  vague time limits)
• Industrial parks are nurturing ‘favorites’ and provide excessive funding
  for incubators, which hinders competition with capable outsiders and
  general market conditions
• Excessive political involvement in innovation development: all final
  decisions are made by the local/central government
• Top-down approach: spontaneous clustering is more effective
• No clear rules for exits (aggravated by the problem of heavy political
  involvement in all investment decisions)
• Poor networks: few independent service firms and venture capitalists
  to ensure smooth tech transfer
• Low-tech is also important
• Poor diversification: e.g. nanomaterials are the priority but higher value
  chain areas (nanodevices, nanobio) are underdeveloped
Nanotechnology
• Can it be implemented bypassing the major
  system weaknesses and path dependencies?
• Can it help resolve the major challenges and
  break the existing lock-ins in the
  construction of effective national innovation
  systems in transition economics?
Russia and China - nano
                             Russia                        China
Launch of the national nano 2007                           2001
program

Significance    of      nano Highly important              One of the areas to support
component in STI policy

Policy design                Highly centralized            Dispersed among diverse programs
                                                           and institutions, center and regions

Scale                        Several      fields   (mostly ‘Across the board’      (but   mostly
                             nanomaterials)                nanomaterials)

Regional spread              Across the country            Concentrated in several key regions
Commercialization            Rusnano                       Tianjin Nanotech Industrialization
mechanism                                                  Base; Shanghai Nanotechnology
                                                           Promotion Center; Nanopolis Suzhou,
                                                           and others

Regular evaluations          Annual, carried out by the Varied (basically part of larger S&T
                             Ministry of Education and Science policy evaluations)
Conclusions
• History matters
• System and policy path dependencies are two
  distinct phenomena
• Policies in both countries are aimed at extensive
  development (as opposed to intensive growth
  strategies)
• Many opportunities for mutual learning between
  Russia and China but not from the United States
• Nanotechnology is a fuzzy field with no clear
  leader – every nation is exploring its own ways
Policy recommendations
• Need to overcome the extensive-growth bias
• More democratization and transparency of the
  science, technology and innovation policy making process
  with broader involvement of the academic community and
  wider public:
   a)   involvement of a bigger circle of university researchers and think-
        tanks into policy consultation and evaluation;
   b)   establishment of an independent agency that would openly
        present the interests of the academic community at the top
        political level
• Better legislation and regulation for the innovation process
• Development of private sector and reducing the role of the
  state in the national economy: privatization is not the only
  solution (competition, science-industry links, demand side)

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Innovation and nanotechnology in Russia and China: a comparative perspective

  • 1. Innovation and nanotechnology development in China and Russia Evgeny Klochikhin, PhD Researcher, Manchester Business School, UK CEELBAS Workshop on Russia’s Skolkovo in Comparative and Historical Perspective, London, UK, 13 June 2012
  • 2. Theoretical dilemmas • Is BRICS an academically valid concept? • What is the global innovation system: a firm- centered network or a set of distinct NIS? • How to apply the NIS approach in developing countries: a heterogeneity discussion • Can we transfer the transition experience of CEE countries to Asia?
  • 3. Research questions • How Russia and China can exploit their science and technology (S&T) history to promote indigenous innovation development and resolve the weaknesses of the former state planning system? • Are there any particular complementarities between the Russian and Chinese innovation that can contribute to their socioeconomic development? • What are the current and emerging opportunities for mutual leaning between the two countries? • What is the role of technology-based growth strategies in this process?
  • 4. Social and political status of science and technology STI policy system RUSSIA and CHINA Quality of STI and technology transfer System of IPR protection
  • 5. Soviet S&T system Strengths Weaknesses • High profile and continuity of • Lack of S&T equipment in research institutes • Inhibited information flows science • Separation of research and teaching • Support of highly-qualified S&T • Technological ‘backwardness’ personnel • Low productivity and rates of ROI • Weak technology diffusion • Good level of theoretical research • Risk averse culture • Massive resource allocation to • Weak computing capability S&T • Poor training of researchers • Rampant departmentalism and political • Block system of science funding involvement • Prioritization of most important • Emphasis on the military S&T projects • Corruption and nepotism • Lack of enterprise autonomy • Knowledge as a public good that • Reluctance to dissolve unsuccessful SOEs can be freely used by all agents • Imbalance between risk and reward for innovating • Lack of mission-oriented approach • (Klochikhin, 2012) Low patenting activity
  • 6. Historical perspective USSR/Russia China 2003-present 1997-present Reform Back on track 1980-1990s 1990s Post- Tian’anmen Decline 1978-1992 Decline 1966-1976 Open Door Policy 1960-1970s Cult revolution STI frontier 1930-1950s 1950s Lysenkoism S&T expansion 1949 1917 1911
  • 7. From S&T to innovation: system transition • Linear (sciencetechnologymarket) to complex innovation model • Network creation and establishment of brokers: MNCs? FDI? Government? (Radosevic, 1999) • Four pillars: the structure of economic organization, price formation, decision rules, and incentives (Lange and Taylor, 1938)
  • 8. Opportunities for mutual learning • Turning universities into research institutions • Rethinking the state planning legacies • Finding effective ways to employ state-owned enterprises as major innovation actors • FDI and knowledge spillovers – not an only solution for innovation growth • Development zones and SEZs: extensive vs. intensive • Regional spread: more infrastructure investment • Mega-projects: good strength of prioritization? • Turning ‘brain drain’ into ‘brain gain’
  • 9. China-Singapore Suzhou Industrial Park • Covers 288 sq.km • CAS institutes, 24 universities and colleges in Suzhou, 1,400,000 university students in Jiangsu Province • China-Singapore agreement in 1992, launched in 1994 • Ownership: 52% Chinese govt, 26% Singapore govt, rest – private investors • Mostly manufacturing, since 2000 rapid building of innovation capabilities (SISPark; Nanopolis-Suzhou, etc.) • Good local embeddedness: Dushu Lake Higher Education Town - “18+ universities, 1 institute and multiple parks", 70,000 students • Important zeal for innovation by local (SIP), regional (Jiangsu), and central govt • SIP govt is a separate authority NOT under the Suzhou municipality • Many local incentives for start-ups
  • 10. Major challenges: lessons for Skolkovo • China pursues extensive growth strategies: no limits to the number of industrial parks and SEZs (tax incentives are also massive and have vague time limits) • Industrial parks are nurturing ‘favorites’ and provide excessive funding for incubators, which hinders competition with capable outsiders and general market conditions • Excessive political involvement in innovation development: all final decisions are made by the local/central government • Top-down approach: spontaneous clustering is more effective • No clear rules for exits (aggravated by the problem of heavy political involvement in all investment decisions) • Poor networks: few independent service firms and venture capitalists to ensure smooth tech transfer • Low-tech is also important • Poor diversification: e.g. nanomaterials are the priority but higher value chain areas (nanodevices, nanobio) are underdeveloped
  • 11. Nanotechnology • Can it be implemented bypassing the major system weaknesses and path dependencies? • Can it help resolve the major challenges and break the existing lock-ins in the construction of effective national innovation systems in transition economics?
  • 12. Russia and China - nano Russia China Launch of the national nano 2007 2001 program Significance of nano Highly important One of the areas to support component in STI policy Policy design Highly centralized Dispersed among diverse programs and institutions, center and regions Scale Several fields (mostly ‘Across the board’ (but mostly nanomaterials) nanomaterials) Regional spread Across the country Concentrated in several key regions Commercialization Rusnano Tianjin Nanotech Industrialization mechanism Base; Shanghai Nanotechnology Promotion Center; Nanopolis Suzhou, and others Regular evaluations Annual, carried out by the Varied (basically part of larger S&T Ministry of Education and Science policy evaluations)
  • 13. Conclusions • History matters • System and policy path dependencies are two distinct phenomena • Policies in both countries are aimed at extensive development (as opposed to intensive growth strategies) • Many opportunities for mutual learning between Russia and China but not from the United States • Nanotechnology is a fuzzy field with no clear leader – every nation is exploring its own ways
  • 14. Policy recommendations • Need to overcome the extensive-growth bias • More democratization and transparency of the science, technology and innovation policy making process with broader involvement of the academic community and wider public: a) involvement of a bigger circle of university researchers and think- tanks into policy consultation and evaluation; b) establishment of an independent agency that would openly present the interests of the academic community at the top political level • Better legislation and regulation for the innovation process • Development of private sector and reducing the role of the state in the national economy: privatization is not the only solution (competition, science-industry links, demand side)