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*
2009
“
”
。
2011 5
。
。
*
。
。
。
、
80
Nee
1989
。
。
。
Walder
1995Bian & Logan
1996
。
Akos
1994Lin
1995。
Zhou
2000Bian
2002。
130

。
。
90
1994
1995
1995
1996。
Granovetter
1973Lin
1982Bian
1997。
。
Bian
1997
2006
2010
、
2011。
。
。
“
”
、
2001
。
、
。
“
”
“
”
Granovetter
1973
“
”
Lin
1982
“
”
131

“
”
Bian
1997。
Mouw
2003
2010
、
2011
、
2011。
1996
“
”
、
2000
2003。
。
。
Granovetter
1985
Lin
2001。
。
。
。
1996
。
。
。
。
Stiglitiz
2000。
、
。
Lin
2001。
。
132
2012. 1

Granovetter
1973。
。
Saloner
1985。
、
。
Putnam
1993。
。
Bian
1997。
。
、
、
。
、
。
。
Nee
1989Bian
1997
Nee
1989
。
1994
1995。
。
。
133

2012. 1
。
。
1 。
1
—
—
。
。
。
。
、
2011。
。
。
、
Lin 2001。
Lin
2001
、
2010
。
Granovetter
1973 Bian1997
、
2001
134

。
2004。
。
。
、
Nee
1989Bian
1997
Zhou
2000。
。
。
。
。
、
2001
。
1
。
1 - 1
。
135

2012. 1
1 - 2
。
、
。1984
《
》
、
。
。
。1992
1993
《
》
。1994
、
。
。
。
。
。
。
2
。
2 - 1
。
2 - 2
。
136

、 、
2009 6 - 10
“
”
。 1
、PPS
。
7 1 、
18 - 69
。
7102
5387 。
1.
。
2.
。
1
。
。
1
2 3 4
2004。
、
。
、
6
0 - 100 、
2001。
2。
1
、 、 、 、 、 、 。
137

2012. 1
2
. 863 35. 57
. 857 20. 13
. 738 0
. 658 100
. 625 6634
. 501 51. 7%
2
。
。
“ ”
Lin 2001。
。 2004
。“ ”
。
、
。
3
。
Nee 1989Bian & Logan 1996。
3.
。
1 48 。
1
6
、 、
、
。
138

。
、
2006。
3
6036 2075. 3 1841. 6 = 100 = 10000
6036 7. 28 . 92 = 4. 61 = 9. 21
6638 35. 25 18. 61 = 0 = 100
6668 27. 18 30. 67 = 1 = 300
6752 74. 00 24. 35 = 6 = 95
6719 5. 52 3. 91 = 0 = 20
6752 . 67 . 47 0 = 1 =
6752 . 31 . 46 0 = 1 =
6752 . 38 . 49 0 = 1 =
7080 7. 61 2. 99 = 3 = 15
7062 . 36 . 18 = 0. 11 = 0. 75
7089 12. 2 3. 26 = 0 = 18
6980 . 37 . 48 1 =
0 =
6946 1 =
2 =
3 =
7101 . 47 . 50 1 =
0 =
7093 . 18 . 39 1 =
0 =
7096 . 84 . 37 1 =
0 =
7101 . 83 . 38 1 =
0 =
7084 43. 14 13. 36 = 17 = 77
6001 8. 13 4. 82 = 0 = 18
7102 . 62 . 49 1 =
0 =
6832 6. 89 . 61 = 3. 22 = 8. 01
139

2012. 1
4.
、
、
、
。
、
1
。 2
。3 。
2004。
2004
。
。
。
。
QuantθY *
Y * = X'β θ
+ μ θ
QuantθY *
QuantθY *
X= X'β θ
X μ θ
X= 0。 θ 0 < θ < 1 β θ
∑ θ Y i - X i β + ∑ 1 - θ Y i
iY i ≥X i β
iY i ≤X i β
min 1 n
β
- X i β
θ 1 - θ 。 θ 0 < θ < 1
∧
QuantθY *
∧
X= X' β θ
。
。
0. 25、0. 5、0. 75
1
2
2006
。
、 、 、
、
。
140

。
、
。
logy ik = β 0k + β 1k x 1ik + β 2k x 2 1ik + β 3k x 2ik + β 4k x 2 2ik
+ β 5k x 3ik + β 6k x 4ik + ∑β j x jik + ε ik 1
x 1ik
x 2ik
x 3ik x 4ik β j
。
β 0k = α 0 + μ 0k
β 1k = α 1 + λ 1 z k + λ 2 z 2 k + μ 1k
β 3k = α 2 + λ 3 z k + λ 4 z 2 k + μ 2k
β 5k = α 3 + λ 5 z k + μ 3k
β 6k = α 4 + λ 6 z k + μ 4k
β j = α j 2
2 β 0k
β 1k
β 3k
β 5k
β 6k
β j
。
2 1
logy ik = α 0 + μ 0k + α 1 + λ 1 z k + λ 2 z 2 k + μ 1k x 1ik + α 5 x 2 1ik
+ α 2 + λ 3 z k + λ 4 z 2 k + μ 2k x 2ik + α 6 x 2 2ik
+ α 3 + λ 5 z k + μ 3k x 3ik + α 4 + λ 6 z k + μ 4k x 4ik
+ ∑α j x jik + ε ik 3
141

2012. 1
3
logy ik = α 0 + α 1 x 1ik + α 2 x 2ik + α 3 x 3ik + α 4 x 4ik + α 5 x 2 1ik + α 6 x 2 2ik
+ ∑α j x jik + λ 1 z k x 1ik + λ 2 z 2 kx 1ik + λ 3 z k x 2ik + λ 4 z 2 kx 2ik + λ 5 z k x 3ik
+ λ 6 z k x 4ik + μ 0k + μ 1k x 1ik + μ 2k x 2ik + μ 3k x 3ik + μ 4k x 4ik + ε ik 4
、
1
。1 2
1
U 。
4
。
。
2
1 6. 5% 2
Xie &
Hannum 1996 、
2003
2009
、
2% - 10%
19. 5% 。
。
3
“ ”
“ ”
。
。
。
1
2
Stata qfit
Qfitquadratic prediction plot。
exp0. 063- 1。 。
142

U
。
1 1 - 1 1 - 2 。
1 。
4
1
2 3
. 008 ***
/100 - . 008 ***
. 052 ***
/100 - . 108 **
. 063 *** . 051 ***
. 178 *** . 165 ***
. 087 *** . 174 *** . 153 ***
. 424 *** . 298 *** . 254 ***
. 179 *** . 117 *** . 095 ***
. 265 *** . 226 *** . 206 ***
. 048 . 089 ** . 112 ***
. 034 . 111 *** . 109 ***
- . 013 *** - . 007 *** - . 005 ***
. 094 ** . 052 . 046
. 152 *** . 064 * . 047
. 260 *** . 121 *** . 106 **
. 054 . 055 . 061
. 157 *** . 143 *** . 168 ***
. 366 *** . 303 *** . 264 ***
4. 857 *** 4. 283 *** 3. 976 ***
5153 5153 5153
R 2 . 257 . 309 . 328
BIC 11458. 8 11095. 1 10980. 3
* p < 0. 05**p < 0. 01***p < 0. 001。
143

2012. 1
1
2
。
16. 5%
28. 9%
10. 0%
22. 9%
11. 9%
11. 5%
1
0. 5%
18. 3% 。
。5
。
144

5
0. 25 0. 5 0. 75
. 008 *** . 009 *** . 006 ***
/100 - . 009 *** - . 009 *** - . 005 *
. 049 *** . 040 *** . 024 **
/100 - . 118 ** - . 076 * . 006
. 056 *** . 054 *** . 048 ***
. 157 *** . 103 *** . 112 ***
. 096 *** . 112 *** . 178 ***
. 218 *** . 264 *** . 266 ***
. 092 *** . 122 *** . 130 ***
. 209 *** . 206 *** . 208 ***
. 171 *** . 126 *** . 141 ***
. 114 *** . 137 *** . 136 ***
- . 006 *** - . 002 - . 002
. 103 ** . 039 . 031
. 080 * . 068 * . 023
. 042 . 160 *** . 130 ***
. 038 . 043 . 083 **
. 165 *** . 178 *** . 163 ***
. 270 *** . 253 *** . 276 ***
3. 694 *** 4. 030 *** 4. 356 ***
5167 5167 5167
* p < 0. 05**p < 0. 01***p < 0. 001。
5
。 1
。
。 5
0. 008
0. 049
0. 006 0. 024
。
145

2012. 1
、
- 0. 009、- 0. 005
、
- 0. 118、- 0. 006
。
。
。
2
。6
、
。
0. 032
Bian 1997Zhou 2000。
。
6
、
5. 943 *** 5. 891 *** 5. 849 ***
. 008 *** . 008 *** . 019 ***
/100 - . 007 *** - . 007 *** - . 008 ***
. 046 *** . 046 *** . 002
/100 - . 069 * - . 070 * - . 076 *
. 053 *** . 044 *** . 059 ***
. 134 *** . 124 * . 106
146

6
. 274 *** . 270 *** . 264 ***
. 112 *** . 109 *** . 103 ***
. 185 *** . 186 *** . 185 ***
. 193 *** . 197 *** . 201 ***
. 079 ** . 080 ** . 079 **
- . 005 *** - . 005 *** - . 005 ***
. 035 . 036 . 036
. 056 . 053 . 053
. 075 * . 068 . 069 *
. 032 . 032 . 026
* . 032 * - . 009
* . 025 . 075
* - . 066 ***
* . 083 ***
* . 233 ***
* - . 234 **
Varμ 0 . 06 . 02 . 01
Varμ 1 2. 60 × 10 - 4 2. 60 × 10 - 4
Varμ 2 9. 28 × 10 - 22 5. 20 × 10 - 18
Varμ 1 3. 77 × 10 - 6
Varμ 2 3. 20 × 10 - 6
Varε . 48 . 48 . 47
rho . 111 . 039 . 028
5387 5387 5387
Log likelihood - 5714. 1 *** - 5698. 4 *** - 5682. 1 ***
LR chi2 test . 000 . 000
p < 0. 1* p < 0. 05**p < 0. 01***p < 0. 001。
147

2012. 1
。
- 0. 066
0. 083
。
2 2 - 1 。
0. 233
- 0. 234
。
2 2 - 2。
。
、
。
。
。
。
。
。
148

。
。
。
。
。
。
。
。
“
”
。
。
。
。
。
。
。
。
。
149

2012. 1
2004《
》《
4 。
、
2001《
》《
》2 。
、
2001《 、
》《
》2 。
、
2006《
2003
》《
》2 。
2009《
》《
》2 。
1994《 “
”》《 》1 。
——— 1995《
》《
》1 。
——— 1996《
》《 》4 。
1995《
》《 》6 。
、
2003《
》《
》6 。
2006《
》《 》4 。
——— 2010《
》《 》5 。
、
2010《
》《
》6 。
、
2011《 、
》《 》3 。
、
2011《
》《 》3 。
、
2011《
》《 》1
。
1996《
》《
1 。
2006《
》《 》6 。
、
2000《“ ”
》《
》2 。
2003《
》《
》4 。
AkosRona-Tas 1994“The First Shall Be the LastEntrepreneurship and the Communist Cadres
in the Transition form Socialism. ”American Journal of Sociology 1001.
Bian Yanjie 1997“Bringing Strong Ties back inIndirect TiesNetwork Bridges and Job Searches
in China. ”American Sociological Review 623.
——— 2002“Chinese Social Stratification and Social Mobility. ”Annual Review of Sociology 28.
BianYanjie & John R. Logan 1996“Market Transition and the Persistence of PowerThe Changing
Stratification System in Urban China. ”American Sociological Review 615.
GranovetterM. 1973“The Strength of Weak Ties. ”American Journal of Sociology 786.
——— 1985“Economic Action and Social StructureThe Problem of Embeddedness. ”American
Journal of Sociology 913.
LinNan 1982Social Resources and Instrumental Action . Social Structure and Network Analysis.
150

Beverly HillsCALondonSage Publications.
——— 1995“Local Market SocialismLocal Corporatism in Action in Rural China. ”Theory and
Society 243.
——— 2001Social CapitalA Theory of Social Structure and Action. New YorkCambridge University
Press.
MouwT. 2003“Social Capital and Finding a JobDo Contacts Matter”American Sociological
Review 686.
NeeVictor 1989.“A Theory of Market TransitionFrom Redistribution to Markets in State Socialism.
”American Sociological Review 545.
PutnamR. 1993Making Democracy WorkCivic Traditions in Modern Italy. PrincetonPrinceton
University Press.
SalonerGarth 1985“Old Boy Networks as Screening Mechanisms. ”Journal of Labor Economics 3
3.
StiglitzJ. 2000“Formal and Informal Institution. ”In P. Dasgupta & I. Serageldineds. Social
CapitalA Multi-faceted Perspective. WashingtonDCWorld Bank.
WalderAndrew G. 1995“Local Governments as Industrial FirmsAn Organizational Analysis of
China's Transitional Economy. ”American Journal of Sociology 1012.
Xie Yu & Emily Hannum 1996“Regional Variation in Earnings Inequality in Reform - Era Urban
China Regional Variation in Earnings Inequality in Reform-Era Urban China. ”American Journal
of Sociology 1014
ZhouXueguang 2000“Economic Transformation and Income Inequality in Urban ChinaEvidence
from Panel Data. ”American Journal of Sociology 1054.
、
151

AbstractBased on synthesized perspective of formal and informal institutions and a
case of Yonglian village this paper analyzes the evolution of relationship between village
and enterprise. The result shows that because of formal institutions the productivity
of entrepreneurs' human capital is getting higher and higher compared with the
productivity of village leaders' political capital. As a resultenterprise is increasingly
dominant in the relationship between village and enterprise. Howeverbecause of informal
institutionsespecially social contractthe evolution of relationship between
village and enterprise is nonlinear but diverse. One of the diverse evolution models is
the change from“the company of village”to“the village of company”. “The village
of company”model is of intrinsic efficiency and stability because it is constructed and
enhanced by both formal and informal institutions.
The Practical Logic of Rural Land Property Rights as a Bundle of RelationshipsA
new analytical framework …………… Zang Deshun 78
AbstractBased on Zhou Xueguang's proposition“property rights as a bundle of relationships”
the author proposes the analytical conceptsprinciples levels and the typology
of“rural land property rights as a bundle of relationships”. The author then
observes and analyzes the new changes of rural land property rights and social structures
using this new analytical framework. The new theory on rural land property
rights is empirically supported by four typical land dispute cases from Zang village.
The conclusion of this article is that social relations have played an important role in
shaping the boundaries forms and interests of rural land property rights.
The Evolution of Assortative Mating Patterns in the Process of China's
Modernization ……………………… Qi Yaqiang & Niu Jianlin 106
AbstractDrawing data from the CGSS2006this paper examines the phenomenon
and evolution of assortative mating patterns in China during the past several decades.
Results show that the main pattern of China's assortative mating is the prevalence of
homogamy across various social groups. In the case of heterogamous marriagessignificant
symmetrical patterns are observed. The assortative mating patterns in China
evolve over time during the past half centurywhich provides partial support to the
industrialization theoryalong with China's industrialization and modernizationthe
achieved characteristics have been increasingly important in the mating selection
processwhile the importance of the ascribed features had been declining until the
1990sand then started to rise again since the early 1990sdue to the rising uncertainty
along with deeper marketization and modernization. Finallyfurther analysis
shows that the likelihood of homogamy /heterogamy for specific subgroups varied substantially
in the past several decades.
Market Reforms and the Income Effects of Social Network Capital …
……………………………… Zhang Shun & Cheng Cheng 130
244

AbstractSocial network capital is an important mechanism affecting income distribution.
The authors decompose social network capital into the forms of potential and
mobilized social network capitaland find that the higher the two forms of social network
capital the higher the incomebut the rates of income return decrease with the
increase of social network capital. The authors also find that in localities with a higher
degree of marketizationthe income return to potential social network capital is
lower but income return to mobilized social network capital is higheralthough the
rate of income return is getting lower with increasing marketization. The authors explore
the underlying logic of these findings from the perspective of interactions of multiple
mechanisms of resources allocation in the context of varied degrees of marketization
across localities.
A Study on the Income Effects of Hukou Reform on the Floating Population
………………………………………………… Wei Wanqing 152
AbstractTraditional studies explaining the effect of Hukou types on wage disparity
basically adopt Blinder-Oaxaca decomposition framework. However the Blinder-Oaxaca
decomposition method in studying the mean income differences between urban
residents and migrant workers couldn't eliminate two types of selection bias in observational
datathe first type is due to the heterogeneity of sampleand the second bias
is due to the omission of key variables. Adopting the newly developed propensity
score matching method to control for sample selection biasand the Bootstrap method
to overcome the small sample biasthis paper tries to explore the income effects of
Hukou restriction on floating population based on China's household income survey
data. The results show that 1the effect of Hukou on the income of migrants is
very significantand the negative effect with control for sample selection biasis
higher than those of ordinary regression results with proxy variables 2the effect of
Hukou on low propensity scores migrants is positive however the effect on high propensity
scores migrants is negative 3the higher the degree of marketizationthe
stronger the negative effects.
Some Reflections on the Corporatist Model and Its Applicability in the
Studies of the Relationship between State and Society in China ………
………………………………………………… Wu Jianping 174
AbstractRecently the corporatist model has been used more and more frequently to
generalize or predict the development of the relationship between state and society in
Chinaespecially in the studies of labor unions or employers. The author argues that
the generalization and prediction of China based on the corporatist model is inappropriatebecause
they are based on a biased understanding of corporatism. The author
then proposes that we should have a general or comprehensive understanding of corpo-
245