산학협력 이론과 전략

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산학협력의 이론과 우리나라 산학협력 현황 분석 및 전략제시

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  • 2011. 3. 28.

    ()

    1

  • 2

  • 3

  • I I

    - -> -> - -> (university-

    industry linkages)

    - (National Innovation System) :

    - (Triple Helix) : , ,

    - Mode 2 : ,

    - 2 :

    4

  • 1-Teaching has been a main mission of universities since medieval period

    -Scientific research institutionalised in academia in the 19th C (Humboltian model)

    2-Around 1980s, economic contribution to society has emerged as the third mission of universities

    -Entrepreneurial universities are characterised as high interaction with other spheres and high independency of state (Etzkowitz, 2003)

    I I

  • , - Empirical studies do not support negative relationship between academic research and

    patenting activities of the US universities (Thursby & Thrusby, 2000; Hicks & Hamilton, 1999)

    - Academic Capitalism (Slaughter & Rhoades, 1997)

    - Tragedy of the academic commons (Nelson, 2004)

    - Commercialisation of higher education (Bok, 2003)

    - Triple Helix & Entrepreneurial Universities (Etzkowitz & Leydesdorff, 2000), Mode 2 (Gibbons et al., 1999)

    - NIS (Freeman & Soete, 1982)

    - Revised Social Contract (Guston & Kensington, 1994)

    I I

  • Source: revised from Etzkowitz (2003), p.318.

    East Asia

    Latin America ?

    I I

  • I I

    : OECD (2002) , (, 2009)

    8

  • I I

    p To obtain additional fundingp To fulfil service mission (or third mission) of the universityp To broaden experience of students and facultyp To access new technology developed by firmsp To identify interesting, relevant research problemsp To enhance regional economic developmentp To increase employment opportunities for students

    p To access research infrastructure of the Up To access expertisep To aid renewal and expansion of technologyp To gain access to students as potential employeesp To expand external contacts for the industrial labp To increase level of pre-competitive researchp To leverage internal research capabilities 9

  • I I

    More likely to occur in some universities than in others due to

    differences in p disciplines emphasised by the HEI

    e.g. technological universities (MIT, RPI, Chalmers etc.)p academic culture of the HEI

    i.e. different weight given to the various goals of the institution (cf. B. Clark on entrepreneurial universities)

    p development strategy of the HEI e.g. new universities in Finland where research oriented

    around regional needs (Oulu, Joensuu)p environment of the HEI

    e.g. a thriving industrial sector in the region, a science park (e.g. Research Triangle Park, Cambridge)

    10

  • I I

    (Cosh et al. 2006, 2007)p (/)p (/)p , ()p , , ()

    ( , 2007)p p p p

    11

  • - (Martin, 2003)- (Jeremy et al., 2008)

    I I

    12

  • I I

    ? (Kwon, 2010) ? (Kwon, 2010)

    - - () . , SCI - -

    - 165 (, , , ) -

    13

  • I : ?I : ?Models Model 1 (NB)Domestic Patent

    Model 2 (ZINB)Overseas Patent

    Model 3 (ZINB)Tech. Transfer (TT)

    Model 4 (Tobit)Revenues from TT

    Gender .555***(.111) .614**(.205) .319(.222) 1.67e+07*(8.70e+06)Career -.052***(.012) .154***(.218) .121***(.026) 4.63e+06***(8.87e+05)Career^2 -.002***(.0004) -.005***(.001) -.004***(.001) -1.41e+5***(2.92e+04)Discipline- Engineering- Med. & Pharm.- Agri. and Mari.

    .796***(.068)-.903***(.095)-.280*(.113)

    .410**(.152)-1.319***(.193)-1.118*(.474)

    1.066***(.159)-.542*(.238).594**(.230)

    5.12e+07***(6.35e+06)-1.71e+07*(7.46e+06)3.82e+07***(9.97e+06)

    Location in C-area .402***(.057) -.188(.151) .270*(.128) 1.88e+07***(4.61e+06)Legal status .313***(.057) .195(.152) .190(.132) 1.54e+07***(4.65e+06)Papers published- domestic journal- SCI journal

    .175***(.027)

    .440***(.026)-.038(.087)

    .200***(.047).205***(.052).060(.050)

    6.50e+06**(2.32e+06)1.77e+07***(1.42e+06)

    R&D funding- Cent. Govt- Loc. Govt- Industry- Overseas- Self funding

    1.05e-09***(1.23e-10)1.43e-09**(4.72e-10)1.47e-09***(4.08e-10)4.42e-09(1.99e-09)

    2.85e-09***(8.75e-10)

    1.04e-09***(1.86e-10) 5.16e-10(3.77e-10)1.05e-09(8.86e-10)

    9.77e-09***(2.58e-09)2.60e-09*(1.06e-09)

    1.82e-09***(3.70e-10)2.49e-09***(7.06e-10)2.39e-09***(5.03e-10)8.20e-10(1.32e-09)1.95e-09(1.02e-09)

    .029***(.003)

    .095***(.015)

    .046***(.007).205*(.081).033(.031)

    TTO size - - - -Regional BERD - - - -Constant -4.140***(.131) -5.313***(.309) -5.217***(.333) -3.55e+08***(1.54+07)Ln-alpha/Sigma .869(.057)** 1.417(.064)*** 2.220(.075)*** 1.20e+08(3.66e+06)***

    Log-likelihood -9504.671 -2237.899 -3528.872 -15174.95Wald/LR 2(d. of f.) 3594.73(14)*** 617.94(15)*** 792.48(15)*** 822.91(15)***

    No of observations 35044 35044 35044 35044

    Source: Kwon (2009). 14

  • I I

    ? ?

    , , (Kwon, 2010)

    Source: Elaborated by the author, based on the typology of the research suggested by Stokes (1997).

    15

  • I - I -

    16

  • 17

  • generality (no of departments)

    654321Co

    unt

    40

    30

    20

    10

    0

    legal status

    Public

    Private

    2529

    38

    18

    54

    912

    333

    location

    JejuKyungnam/Busan/Ulsan

    Kyungpook/Daegu

    Chunnam/Kwangju

    Chonbuk

    Chungnam/Daejeon

    Chungbuk

    Kangwon

    Kyunggi/Inchon

    Seoul

    no of

    univ

    30

    20

    10

    0

    legal status

    Public

    Private

    14149

    6

    18

    46

    20

    27

    64543

    the founding year

    20001980

    19601940

    19201900

    18801860

    1840

    size:

    numb

    ers of

    stud

    ents

    40000

    30000

    20000

    10000

    0

    legal statusPrivatePublic

    * a university in science and engineering is defined as a university that has at least one academic in science and engineering with research funding from an internal or external body. According to this definition, 169 out of the 202 universities can be identified as Korean universities in science and engineering.

    II II

    18

  • , , , ,

    II II

    19

  • 0.01

    0.10

    1.00

    10.00

    100.00

    1000.00

    1 2 3 4 5 6 7 8 9 10

    PAPER

    PATENTUND_GRD

    POST_GRD

    *Y axis represents mean values of papers, patents, undergraduates and postgraduates in log scale.Source: the author, data based on KRF survey (2007)

    , , , ,

    *1: Old big private in Seoul, 2: Big public regional, 3: Big private regional, 4: Medium & small private in Seoul, 5: Medium public regional / industrial, 6: Medium private regional, 7: Specialised in science & engineering, 8: Specialised in teachers' and ministers' training/on-line, 9: Small private regional, 10: Small private industrial

    II II

    20

  • , .

    II II

    21

  • / /

    , ,

    II II

    22

  • , ,

    0%10%20%30%40%50%60%70%80%90%

    100%

    ( ) ()

    II II

    23

  • II II

    24

  • SCI (100 )SCI (100 )

    SCI ,

    II II

    25

  • -2

    -1.5

    -1

    -0.5

    0

    0.5

    1

    1.5

    2

    2.5

    3() ()

    * Z-score

    , , .

    II II

    26

  • / ( ) / ( )

    7,549 101,022 19,379 9,500 0 0 137,449 / 8,316 326 63,353 0 0 0 71,995

    46,099 10,291 0 0 10,611 1,046 68,048

    43,075 0 0 0 0 636 43,710

    0 0 775 14,525 0 0 15,299

    0 7,765 0 0 0 0 7,765

    0 1,721 1,834 0 0 0 3,555

    105,039 121,126 85,340 24,024 10,611 1,682 347,823

    II II

    27

  • ( ) ( )

    108,857 0 8,735 0 0 0 19,857 137,449

    66,545 0 1,519 948 0 0 2,983 71,995

    56,992 0 2,138 454 0 0 8,465 68,048

    35,685 0 1,444 69 0 0 6,513 43,710

    10,156 0 0 0 0 0 5,143 15,299

    3,415 0 237 0 0 0 4,113 7,765

    3,282 0 45 229 0 0 0 3,556

    284,933 0 14,118 1,699 0 0 47,073 347,823

    II II

    28

  • / ( ) / ( )

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    II II

    29

  • / ( ) / ( )

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    II II

    30

  • ( ) ( )

    0%

    10%

    20%

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    60%

    70%

    80%

    90%

    100%

    0%10%20%30%40%50%60%70%80%90%

    100%

    II II

    31

  • II II

    32

  • 33

  • - (ex. )- (early catch-up) - (strategic intent) coherence- Post catch-up ,

    III III

    34

  • ( )( )

    - (species) - - ,

    III III

    35

  • ( ) ( )

    - - ,

    III III

    36

  • , ,

    - (SCI )

    - , - ,

    III III

    37

  • 38