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The Role of Political Capital in China:
Domestic vs Returnee Entrepreneurs


             Dr. Haiyang Li

           Rice University & CEIBS
              haiyang@rice.edu
Background: Two Competing Views
 Decline of the value of political capital (Guthrie,
  1998; Nee, 1989, 1991) in transition economy
    Firms no longer need government to steer
      resources
    Government will lose their power
 Retaining/increase of the value of political capital
    Rona-Tas (1994): Power conversion
    Walder (2002): As long as the state controls
      access to finance and technology and
      enforcement of banking regulations, political
      capital will continue to be valuable.
Two Studies

 How do institutional changes affect the role of
  entrepreneurs’ political capital in resource
  acquisition in a transition economy? (Li, Zhao, &
  Lu, working paper)



 Returnees vs locals: Who perform better in China’s
  technology entrepreneurship? (Li, Zhang, Li, Zhou,
  & Zhang, SEJ 2012)
Resource acquisition in transition
              economies
 Resource acquisition for entrepreneurial firms
     Liability of newness and lack of performance
       record
    Information asymmetry
 Institutional constraints for resource acquisition of
  entrepreneurial firms in a transition economy
    Political authorities still have allocative
       control over key factor resources
    The existence of institutional voids and
       underdeveloped intermediate institutions
    Lack of legitimacy of private firms; suffer
       social and political discrimination
Political Capital and Resource
                  Acquisition
   Political capital embodied in the ties with key political
    institutions provides direct avenue to reach political
    resources

   Enhance their social and political legitimacy, increasing
    their credibility for resource acquisition.

   In general, entrepreneurs’ political capital will facilitate
    firms’ resource acquisition in a transition economy.
Political Capital and Institutional Change

   Key argument
      With the development of market institutions in a
        transition economy, institutional constraints will be
        reduced, which may affect the efficacy of political
        capital in resource acquisition.

   Two aspects of institutional change
      Regional aspect
        Government intervention
        Development of intermediate institution
      Temporal aspect
HYPOTHESES
   H1. The positive effect of entrepreneurs’ political capital on
    firms’ resource acquisition is likely weaker in regions where
    the level of government intervention is lower.

   H2. The positive effect of entrepreneurs’ political capital on
    firms’ resource acquisition is likely weaker in regions where
    intermediate institutions are better developed.
 H3. The positive effect of entrepreneurs’ political
   capital on firms’ resource acquisition will persist or
   even get stronger over time.
 It is generally expected that more market institutions
  will be developed over time.
 However, institutional changes toward market
  orientation do not automatically lead to the decline
  of the role of political authorities over time.
   Path-dependent nature of transition
       Inertia of old institutions is likely to be strong.
   China’s gradual transition
       The existing institutions still bear the stamp of
          the past institutional arrangements.
   Partial reform which confines only to economic
       arenas
 “The state advances and the private sector
  retreats”.
 “As the Chinese government has grown richer… it
  has pumped public money into companies that it
  expects to upgrade the industrial base and employ
  more people” and the beneficiaries re state-owned
  firms.
                                 --Wines (2010, NYT)
Methodology

 Data sources
    Two national surveys of private
     entrepreneurs in China conducted jointly by
     three national organizations: the Chinese
     Academy of Social Sciences, All China
     Industry and Commerce Federation, and the
     United Front Work Department of the Central
     Committee of the Communist Party in 2002
     and 2006.
    The Marketization Index developed by the
     National Economic Research Institute
 Surveys
    Random sampling approach
       Though not a panel data, it provides a
        longitudinal view of how the hypothesized
        relationships change over time.
    3,258 cases for 2002 and 3,837 for 2006 in 30
     provinces
    We only focused on those reporting the actual
     amount of loans from banks.
      N=1595 in 2002
      N=1987 in 2006
Measures
 Resource acquisition: the actual amount of loans from
  banks (logged)
 Political capital
    Membership of People’s Congress (PC) and the
        Chinese People’s Political Consultative Conference
        (CPPCC).
    PC has five levels: national, provincial, municipal,
        county, and township. Its main functions include
        making law and policies, and electing and appointing
        top government officials (e.g., President and Premier).
    CPCC is a political advisory body, exercising
        democratic supervision of the party. It has four levels:
        national, provincial, municipal and county.
 Government intervention reduction (3 items)
    Distribution of economic resources is market-oriented
    Government intervention in firm activities is reduced
    Government scales back
 Development of intermediate institutions
    Share of lawyers in the total population
    Share of accountants in the total population
    Degree of legal protection of production entities
    Degree of property right protection
 Controls
    Entrepreneur’s education, age, party membership
    Firm age, size, R&D activity, industry, region
Year 2002 (n=1595)                                        Year 2006 (n=1987)
Variables                    Model 1     Model 2       Model 3    Model 4    Model 5    Model 6    Model 7    Model 8       Model 9    Model 10

Controls
Firm age                     .046†       .042          .040       .041       .041       .082***    .064**     .062**        .061**     .062**
Firm size                    .014        .011          .012       .009       .007       .169***    .215***    .167***       .137***    .132***
Entrepreneur age             .001        .016          .019       .020       .020       .044*      .040*      .040*         .050**     .051**
Entrepreneur as party                                             .017       .016                                           .045
member                                                                                                                                 .047†
                             .017        .008          .018                             .033       .038       .041
Number of prior jobs         .011        .007          .005       .007       .008       .023       .009       .008          .009       .011
R&D intensity                .095***     .074**        .075**     .075**     .076**     .027       .027       .031          .020       .012


                                                                  Results
Industry (1=manufacturing)   .181***     .126***       .149***    .149***    .149***    .006       .008       .009          .011       .006
Region (1=coastal area)      .013        .016          .017       .013       .011       .061**     .060**     .084**        .072*      .061*
Inverse Mills Ratio          .502***     .377***       .454***    .450***    .447***    .373***    .101**     .222**        .289***    .312***

Independent Variables
Political capital                        .122***       .093**     .089**     .092**                .201***    .169***       .162***    .153***
Education                                .128***       .127***    .126***    .122***               .221***    .214***       .213***    .213***

Moderators
Government intervention
reduction                                              .018       .018       .020                             .047*         .047*      .060*
Intermediate institution
development                                            .067†      .068+      .057                             .087**        .082**     .098**

Interactions
Political capital X                                               -.023      -.035                                          -.080***   -.088***
government
  Intervention reduction
Political capital X                                                          -.022                                                     -.058**
Intermediate
   institution development


Education X Government                                            .026       .011                                           .051**     .043*
  Intervention reduction
Education X Intermediate                                                     .030                                                      .041*
  institution development

R2                                                                .236       .236                                           .354       .358
                             .207        .232          .234                             .276       .341        .347
Change R2                                .025***       .003†      .002       .000                  .065***    .006*         .007**     .004**
F                            46.06****   43.37***      37.23***   32.45***   28.71***   83.63***   94.61***   80.65***      72.16***   64.63***
Moderating Effect of Government Intervention
            10

            9
Bank Loan




            8

            7

            6

            5
                  Low                                       High
                               Political Capital
                             Low Government Intervention
                             High Government Intervention
Returnees vs Locals: Who Perform Better
in China’s Technology Entrepreneurship?



                       Haiyang Li
                       Yan Zhang
                     Rice University

                             Yu Li
     University of International Business & Economics

                       Li-An Zhou
                     Weiying Zhang
                    Peking University
The Value of Returnees

   Returnees possess superior capabilities and skills
    particularly in the technology areas through their
    education and scientific and technical training in
    developed countries.

   They are exposed to the technological and business
    practice gaps between developed countries and their
    home countries.

   They can access social networks that are typically not be
    accessible to local talents.

   The presence of returnees serve as an important signal of
    the quality of the new ventures.
The Darkside of Returnees
 After years of living out of their home countries,
   returnees face a seemingly familiar, yet different,
   environment.

 Returnees may not have an accurate
   comprehensive understanding of how to conduct
   businesses there (Lack of local knowledge).

 Returnees may have limited connections with
   important constituents in their home counties.
     Such connections are critical because they
       represent important channels for accessing
       information and resources in emerging markets.
State Controlling Ownership
   Hypothesis 1. State controlling ownership will improve the
    performance of new technology ventures with returnee
    leaders relative to ventures with local leaders.

 Ventures with state controlling ownership are considered
  as “insiders” in China’s political institution  access to
  complementary resources
 Returnees may rely on government ties precisely
  because they lack the social ties that facilitate competition
  in China’s personalized market (Solinger, 1991).
 Help state-controlled ventures to explore overseas
  business opportunities.
Venture age

 H2. Older venture age will improve the performance
   of new technology ventures with returnee leaders
   relative to ventures with local leaders.
    As a new venture ages, it builds its track record
       and external relationships, thus reducing its
       dependence on the personal connections of its
       leaders.
Methodology


 Technology ventures in Zhongguancun Science
    Park (ZSP) in Beijing, China
   Preferential policies in ZSP
   Qualification for being a high-tech firm
   Data is compiled from the annual reports filed by
    all certified firms 1995-2003.
   Our sample consisted of 33,290 firm-year
    observations from 13,163 firms.
Model Specification
 Random-effect Tobit model
    Random effect was used to address the lack
     of independence among the multiple
     observations associated with one venture.
    Tobit model was used because the
     dependent variable (Ln(Sales)) was skewed
     (most ventures had a small amount of sales).
Employment Size                                              Sales
                         Mode 1a     Model 2a   Model 3a    Model 4a    Model 1b    Model 2b    Model 3b    Model 4b

Predictors
Returnees Venture        -0.132***   -0.149***   -0.179**   -0.190***   -0.480***   -0.513***   -0.639***   -0.656***
                          (0.021)     (0.022)     (0.026)    (0.026)     (0.077)     (0.080)     (0.094)     (0.096)

Moderators

State Controlling        0.301***    0.291***    0.300***   0.292***    0.384***    0.365***    0.383***    0.369***
  Ownership              (0.017)     (0.018)     (0.017)    (0.018)     (0.062)     (0.063)     (0.062)     (0.063)
Venture Age              0.066***    0.066***    0.064***   0.064***    0.403***    0.403***    0.394***    0.395***
                         (0.004)     (0.004)     (0.004)    (0.004)     (0.013)     (0.013)     (0.013)     (0.013)

Interactions
Returnees Dummy*                     0.139*                 0.119*                   0.282                   0.208
  State Controlling                  (0.057)                (0.057)                 (0.212)                 (0.214)
  Ownership



Returnees Venture*                               0.029***   0.027**                             0.103**     0.098**
  Venture Age                                    (0.009)    (0.009)                             (0.036)     (0.036)



Controls
R&D Investment           0.230***    0.230***    0.230***   0.230***    0.506***    0.506***    0.506***    0.506***
                         (0.005)     (0.005)     (0.005)    (0.005)     (0.020)     (0.020)     (0.020)     (0.020)
Foreign-Owned            0.250***    0.252***    0.251***   0.252***    0.692***    0.695***    0.693***    0.695***
  Venture                (0.022)     (0.022)     (0.022)    (0.022)     (0.073)     (0.073)     (0.073)     (0.073)
Business Group           0.351***    0.352***    0.351***   0.351***    0.673***    0.674***    0.672***    0.673***
  Affiliation            (0.025)     (0.025)     (0.025)    (0.025)     (0.094)     (0.094)     (0.094)     (0.094)
Educational Level of     0.072***    0.072***    0.073***   0.073***    0.075**     0.076**     0.077**     0.077**
  Legal Representative   (0.007)     (0.007)     (0.007)    (0.007)     (0.025)     (0.025)     (0.025)     (0.025)
Year Dummies             Included    Included    Included   Included    Included    Included    Included    Included
Industry Dummies         Included    Included    Included   Included    Included    Included    Included    Included
Constant                 2.770***    2.769***    2.768***   2.766***    5.908***    5.906***    5.902***    5.901***
                         (0.262)     (0.262)     (0.262)    (0.262)     (1.020)     (1.020)     (1.020)     (1.020)
Wald Chi2(90)            4657.42     4666.21     4672.59    4678.64     5086.52     5088.97     5095.41     5096.84
Prob > chi2               0.000       0.000       0.000      0.000       0.000       0.000       0.000       0.000
Number of observations    33290       33290       33290      33290       33290       33290       33290       33290
Profit                                         Venture Exit (vs. Survival)
                              Mode 1c    Model 2c            Model 3c       Model 4c   Model 1d    Model 2d          Model 3d    Model 4d

Predictors
Returnees Venture              -0.010    -0.047+             -0.065+        -0.087**   0.415***    0.418***          0.572***     0.570***
                              (0.025)    (0.027)             (0.034)         (0.034)   (0.078)     (0.082)           (0.101)      (0.103)

Moderators

State Controlling Ownership   0.220***   0.200***            0.220***       0.201***   -0.111*      -0.109+          -0.110*      -0.113+
                              (0.020)    (0.021)             (0.020)        (0.021)    (0.056)      (0.058)          (0.056)      (0.058)
Venture Age                   0.109***   0.108***            0.106***       0.106***    0.010        0.010            0.018        0.018
                              (0.004)    (0.004)             (0.004)        (0.004)    (0.012)      (0.012)          (0.012)      (0.012)

Interactions
Returnees Venture *                      0.315***                           0.295***                -0.030                         0.038
   State Controlling                     (0.074)                            (0.075)                 (0.237)                       (0.235)
   Ownership



Returnees Venture *                                          0.035*          0.027*                                  -0.103*      -0.103*
  Venture Age                                                (0.014)        (0.014)                                  (0.043)      (0.043)


Controls
R&D Investment                0.128***   0.128***            0.128***       0.128***   -0.290***   -0.290***        -0.290***    -0.290***
                              (0.008)    (0.008)             (0.008)        (0.008)     (0.025)     (0.025)          (0.025)      (0.025)
Foreign-Owned                 0.636***   0.639***            0.636***       0.639***    0.317***   0.316***          0.318***     0.319***
  Venture                     (0.022)    (0.022)             (0.022)        (0.022)     (0.051)     (0.051)          (0.051)      (0.051)
Business Group Affiliation    0.383***   0.384***            0.383***       0.384***     -0.146     -0.146            -0.147       -0.147
                              (0.032)    (0.032)             (0.032)        (0.032)     (0.108)     (0.108)          (0.108)      (0.108)
Educational Level of Legal    0.044***   0.044***            0.044***       0.044***   -0.493***   -0.493***        -0.494***    -0.494***
  Representative              (0.008)    (0.008)             (0.008)        (0.008)     (0.022)     (0.022)          (0.022)      (0.022)

Year Dummies                  Included   Included            Included       Included       -d          -                -            -
Industry Dummies              Included   Included            Included       Included       -d          -                -            -
Constant                        -0.346     -0.344              -0.345         -0.343   -0.813***   -0.813***        -0.823***    -0.823***
                               (0.389)    (0.389)             (0.389)        (0.389)    (0.060)     (0.060)          (0.060)      (0.060)
Pseudo R2                          -          -                   -     -               0.0446      0.0446           0.0448       0.0448
Wald Chi2(90)                 3565.56    3586.83             3572.69        3590.94     845.03      845.04           846.49       846.69
Prob > chi2                     0.000      0.000               0.000         0.000       0.000       0.000            0.000        0.000
Log Likelihood                     -          -                   -            -       -9259.47    -9259.46         -9256.92     -9256.91
Number of observations          33290      33290               33290         33290       33290       33290            33290        33290
Some Thoughts
 How do entrepreneurs’ political capital interact with
   institutions to affect resource acquisition in the
   context of transition economy.
    It is not institutional change per se but the
       changes along different dimensions that are
       likely to induce the changing effects of political
       capital observed.
    Institutional change is not homogeneous.


 “A dual liability” for returnees
     may be created by institutional changes
     State controlling ownership helps mitigate their
        disadvantages
 Makes a significant contribution to the literature
   on the role of managerial resources in
   entrepreneurial firms.
     Both human capital (education) and political
       capital are increasingly important.
Thank You!

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Aom pdw 2012 nascent entrepreneurship in china

  • 1. The Role of Political Capital in China: Domestic vs Returnee Entrepreneurs Dr. Haiyang Li Rice University & CEIBS haiyang@rice.edu
  • 2. Background: Two Competing Views  Decline of the value of political capital (Guthrie, 1998; Nee, 1989, 1991) in transition economy  Firms no longer need government to steer resources  Government will lose their power  Retaining/increase of the value of political capital  Rona-Tas (1994): Power conversion  Walder (2002): As long as the state controls access to finance and technology and enforcement of banking regulations, political capital will continue to be valuable.
  • 3. Two Studies  How do institutional changes affect the role of entrepreneurs’ political capital in resource acquisition in a transition economy? (Li, Zhao, & Lu, working paper)  Returnees vs locals: Who perform better in China’s technology entrepreneurship? (Li, Zhang, Li, Zhou, & Zhang, SEJ 2012)
  • 4. Resource acquisition in transition economies  Resource acquisition for entrepreneurial firms  Liability of newness and lack of performance record  Information asymmetry  Institutional constraints for resource acquisition of entrepreneurial firms in a transition economy  Political authorities still have allocative control over key factor resources  The existence of institutional voids and underdeveloped intermediate institutions  Lack of legitimacy of private firms; suffer social and political discrimination
  • 5. Political Capital and Resource Acquisition  Political capital embodied in the ties with key political institutions provides direct avenue to reach political resources  Enhance their social and political legitimacy, increasing their credibility for resource acquisition.  In general, entrepreneurs’ political capital will facilitate firms’ resource acquisition in a transition economy.
  • 6. Political Capital and Institutional Change  Key argument  With the development of market institutions in a transition economy, institutional constraints will be reduced, which may affect the efficacy of political capital in resource acquisition.  Two aspects of institutional change  Regional aspect  Government intervention  Development of intermediate institution  Temporal aspect
  • 7. HYPOTHESES  H1. The positive effect of entrepreneurs’ political capital on firms’ resource acquisition is likely weaker in regions where the level of government intervention is lower.  H2. The positive effect of entrepreneurs’ political capital on firms’ resource acquisition is likely weaker in regions where intermediate institutions are better developed.
  • 8.  H3. The positive effect of entrepreneurs’ political capital on firms’ resource acquisition will persist or even get stronger over time.
  • 9.  It is generally expected that more market institutions will be developed over time.  However, institutional changes toward market orientation do not automatically lead to the decline of the role of political authorities over time.  Path-dependent nature of transition  Inertia of old institutions is likely to be strong.  China’s gradual transition  The existing institutions still bear the stamp of the past institutional arrangements.  Partial reform which confines only to economic arenas
  • 10.  “The state advances and the private sector retreats”.  “As the Chinese government has grown richer… it has pumped public money into companies that it expects to upgrade the industrial base and employ more people” and the beneficiaries re state-owned firms. --Wines (2010, NYT)
  • 11. Methodology  Data sources  Two national surveys of private entrepreneurs in China conducted jointly by three national organizations: the Chinese Academy of Social Sciences, All China Industry and Commerce Federation, and the United Front Work Department of the Central Committee of the Communist Party in 2002 and 2006.  The Marketization Index developed by the National Economic Research Institute
  • 12.  Surveys  Random sampling approach  Though not a panel data, it provides a longitudinal view of how the hypothesized relationships change over time.  3,258 cases for 2002 and 3,837 for 2006 in 30 provinces  We only focused on those reporting the actual amount of loans from banks.  N=1595 in 2002  N=1987 in 2006
  • 13. Measures  Resource acquisition: the actual amount of loans from banks (logged)  Political capital  Membership of People’s Congress (PC) and the Chinese People’s Political Consultative Conference (CPPCC).  PC has five levels: national, provincial, municipal, county, and township. Its main functions include making law and policies, and electing and appointing top government officials (e.g., President and Premier).  CPCC is a political advisory body, exercising democratic supervision of the party. It has four levels: national, provincial, municipal and county.
  • 14.  Government intervention reduction (3 items)  Distribution of economic resources is market-oriented  Government intervention in firm activities is reduced  Government scales back  Development of intermediate institutions  Share of lawyers in the total population  Share of accountants in the total population  Degree of legal protection of production entities  Degree of property right protection  Controls  Entrepreneur’s education, age, party membership  Firm age, size, R&D activity, industry, region
  • 15. Year 2002 (n=1595) Year 2006 (n=1987) Variables Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 Model 9 Model 10 Controls Firm age .046† .042 .040 .041 .041 .082*** .064** .062** .061** .062** Firm size .014 .011 .012 .009 .007 .169*** .215*** .167*** .137*** .132*** Entrepreneur age .001 .016 .019 .020 .020 .044* .040* .040* .050** .051** Entrepreneur as party .017 .016 .045 member .047† .017 .008 .018 .033 .038 .041 Number of prior jobs .011 .007 .005 .007 .008 .023 .009 .008 .009 .011 R&D intensity .095*** .074** .075** .075** .076** .027 .027 .031 .020 .012 Results Industry (1=manufacturing) .181*** .126*** .149*** .149*** .149*** .006 .008 .009 .011 .006 Region (1=coastal area) .013 .016 .017 .013 .011 .061** .060** .084** .072* .061* Inverse Mills Ratio .502*** .377*** .454*** .450*** .447*** .373*** .101** .222** .289*** .312*** Independent Variables Political capital .122*** .093** .089** .092** .201*** .169*** .162*** .153*** Education .128*** .127*** .126*** .122*** .221*** .214*** .213*** .213*** Moderators Government intervention reduction .018 .018 .020 .047* .047* .060* Intermediate institution development .067† .068+ .057 .087** .082** .098** Interactions Political capital X -.023 -.035 -.080*** -.088*** government Intervention reduction Political capital X -.022 -.058** Intermediate institution development Education X Government .026 .011 .051** .043* Intervention reduction Education X Intermediate .030 .041* institution development R2 .236 .236 .354 .358 .207 .232 .234 .276 .341 .347 Change R2 .025*** .003† .002 .000 .065*** .006* .007** .004** F 46.06**** 43.37*** 37.23*** 32.45*** 28.71*** 83.63*** 94.61*** 80.65*** 72.16*** 64.63***
  • 16. Moderating Effect of Government Intervention 10 9 Bank Loan 8 7 6 5 Low High Political Capital Low Government Intervention High Government Intervention
  • 17. Returnees vs Locals: Who Perform Better in China’s Technology Entrepreneurship? Haiyang Li Yan Zhang Rice University Yu Li University of International Business & Economics Li-An Zhou Weiying Zhang Peking University
  • 18. The Value of Returnees  Returnees possess superior capabilities and skills particularly in the technology areas through their education and scientific and technical training in developed countries.  They are exposed to the technological and business practice gaps between developed countries and their home countries.  They can access social networks that are typically not be accessible to local talents.  The presence of returnees serve as an important signal of the quality of the new ventures.
  • 19. The Darkside of Returnees  After years of living out of their home countries, returnees face a seemingly familiar, yet different, environment.  Returnees may not have an accurate comprehensive understanding of how to conduct businesses there (Lack of local knowledge).  Returnees may have limited connections with important constituents in their home counties.  Such connections are critical because they represent important channels for accessing information and resources in emerging markets.
  • 20. State Controlling Ownership  Hypothesis 1. State controlling ownership will improve the performance of new technology ventures with returnee leaders relative to ventures with local leaders.  Ventures with state controlling ownership are considered as “insiders” in China’s political institution  access to complementary resources  Returnees may rely on government ties precisely because they lack the social ties that facilitate competition in China’s personalized market (Solinger, 1991).  Help state-controlled ventures to explore overseas business opportunities.
  • 21. Venture age  H2. Older venture age will improve the performance of new technology ventures with returnee leaders relative to ventures with local leaders.  As a new venture ages, it builds its track record and external relationships, thus reducing its dependence on the personal connections of its leaders.
  • 22. Methodology  Technology ventures in Zhongguancun Science Park (ZSP) in Beijing, China  Preferential policies in ZSP  Qualification for being a high-tech firm  Data is compiled from the annual reports filed by all certified firms 1995-2003.  Our sample consisted of 33,290 firm-year observations from 13,163 firms.
  • 23. Model Specification  Random-effect Tobit model  Random effect was used to address the lack of independence among the multiple observations associated with one venture.  Tobit model was used because the dependent variable (Ln(Sales)) was skewed (most ventures had a small amount of sales).
  • 24. Employment Size Sales Mode 1a Model 2a Model 3a Model 4a Model 1b Model 2b Model 3b Model 4b Predictors Returnees Venture -0.132*** -0.149*** -0.179** -0.190*** -0.480*** -0.513*** -0.639*** -0.656*** (0.021) (0.022) (0.026) (0.026) (0.077) (0.080) (0.094) (0.096) Moderators State Controlling 0.301*** 0.291*** 0.300*** 0.292*** 0.384*** 0.365*** 0.383*** 0.369*** Ownership (0.017) (0.018) (0.017) (0.018) (0.062) (0.063) (0.062) (0.063) Venture Age 0.066*** 0.066*** 0.064*** 0.064*** 0.403*** 0.403*** 0.394*** 0.395*** (0.004) (0.004) (0.004) (0.004) (0.013) (0.013) (0.013) (0.013) Interactions Returnees Dummy* 0.139* 0.119* 0.282 0.208 State Controlling (0.057) (0.057) (0.212) (0.214) Ownership Returnees Venture* 0.029*** 0.027** 0.103** 0.098** Venture Age (0.009) (0.009) (0.036) (0.036) Controls R&D Investment 0.230*** 0.230*** 0.230*** 0.230*** 0.506*** 0.506*** 0.506*** 0.506*** (0.005) (0.005) (0.005) (0.005) (0.020) (0.020) (0.020) (0.020) Foreign-Owned 0.250*** 0.252*** 0.251*** 0.252*** 0.692*** 0.695*** 0.693*** 0.695*** Venture (0.022) (0.022) (0.022) (0.022) (0.073) (0.073) (0.073) (0.073) Business Group 0.351*** 0.352*** 0.351*** 0.351*** 0.673*** 0.674*** 0.672*** 0.673*** Affiliation (0.025) (0.025) (0.025) (0.025) (0.094) (0.094) (0.094) (0.094) Educational Level of 0.072*** 0.072*** 0.073*** 0.073*** 0.075** 0.076** 0.077** 0.077** Legal Representative (0.007) (0.007) (0.007) (0.007) (0.025) (0.025) (0.025) (0.025) Year Dummies Included Included Included Included Included Included Included Included Industry Dummies Included Included Included Included Included Included Included Included Constant 2.770*** 2.769*** 2.768*** 2.766*** 5.908*** 5.906*** 5.902*** 5.901*** (0.262) (0.262) (0.262) (0.262) (1.020) (1.020) (1.020) (1.020) Wald Chi2(90) 4657.42 4666.21 4672.59 4678.64 5086.52 5088.97 5095.41 5096.84 Prob > chi2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Number of observations 33290 33290 33290 33290 33290 33290 33290 33290
  • 25. Profit Venture Exit (vs. Survival) Mode 1c Model 2c Model 3c Model 4c Model 1d Model 2d Model 3d Model 4d Predictors Returnees Venture -0.010 -0.047+ -0.065+ -0.087** 0.415*** 0.418*** 0.572*** 0.570*** (0.025) (0.027) (0.034) (0.034) (0.078) (0.082) (0.101) (0.103) Moderators State Controlling Ownership 0.220*** 0.200*** 0.220*** 0.201*** -0.111* -0.109+ -0.110* -0.113+ (0.020) (0.021) (0.020) (0.021) (0.056) (0.058) (0.056) (0.058) Venture Age 0.109*** 0.108*** 0.106*** 0.106*** 0.010 0.010 0.018 0.018 (0.004) (0.004) (0.004) (0.004) (0.012) (0.012) (0.012) (0.012) Interactions Returnees Venture * 0.315*** 0.295*** -0.030 0.038 State Controlling (0.074) (0.075) (0.237) (0.235) Ownership Returnees Venture * 0.035* 0.027* -0.103* -0.103* Venture Age (0.014) (0.014) (0.043) (0.043) Controls R&D Investment 0.128*** 0.128*** 0.128*** 0.128*** -0.290*** -0.290*** -0.290*** -0.290*** (0.008) (0.008) (0.008) (0.008) (0.025) (0.025) (0.025) (0.025) Foreign-Owned 0.636*** 0.639*** 0.636*** 0.639*** 0.317*** 0.316*** 0.318*** 0.319*** Venture (0.022) (0.022) (0.022) (0.022) (0.051) (0.051) (0.051) (0.051) Business Group Affiliation 0.383*** 0.384*** 0.383*** 0.384*** -0.146 -0.146 -0.147 -0.147 (0.032) (0.032) (0.032) (0.032) (0.108) (0.108) (0.108) (0.108) Educational Level of Legal 0.044*** 0.044*** 0.044*** 0.044*** -0.493*** -0.493*** -0.494*** -0.494*** Representative (0.008) (0.008) (0.008) (0.008) (0.022) (0.022) (0.022) (0.022) Year Dummies Included Included Included Included -d - - - Industry Dummies Included Included Included Included -d - - - Constant -0.346 -0.344 -0.345 -0.343 -0.813*** -0.813*** -0.823*** -0.823*** (0.389) (0.389) (0.389) (0.389) (0.060) (0.060) (0.060) (0.060) Pseudo R2 - - - - 0.0446 0.0446 0.0448 0.0448 Wald Chi2(90) 3565.56 3586.83 3572.69 3590.94 845.03 845.04 846.49 846.69 Prob > chi2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Log Likelihood - - - - -9259.47 -9259.46 -9256.92 -9256.91 Number of observations 33290 33290 33290 33290 33290 33290 33290 33290
  • 26. Some Thoughts  How do entrepreneurs’ political capital interact with institutions to affect resource acquisition in the context of transition economy.  It is not institutional change per se but the changes along different dimensions that are likely to induce the changing effects of political capital observed.  Institutional change is not homogeneous.  “A dual liability” for returnees  may be created by institutional changes  State controlling ownership helps mitigate their disadvantages
  • 27.  Makes a significant contribution to the literature on the role of managerial resources in entrepreneurial firms.  Both human capital (education) and political capital are increasingly important.

Editor's Notes

  1. How many of you have been in China recently?