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2009 <br />
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2011 5 <br />
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1995Bian & Logan<br />
1996<br />
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1995。<br />
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1995<br />
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1995 <br />
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1996。<br />
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1982Bian<br />
1997。<br />
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1973<br />
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1982<br />
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131
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1996 <br />
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2000<br />
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2003。<br />
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1985 <br />
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2001。<br />
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132<br />
2012. 1
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1973。<br />
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Saloner<br />
1985。<br />
、<br />
。<br />
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1993。<br />
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1997。<br />
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1989Bian<br />
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1989 <br />
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1994<br />
1995。<br />
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133
2012. 1<br />
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2011。<br />
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Lin 2001。<br />
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2001<br />
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2010<br />
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Granovetter<br />
1973 Bian1997<br />
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2001<br />
134
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135
2012. 1<br />
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1993 <br />
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136
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137
2012. 1<br />
2<br />
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. 625 6634<br />
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2<br />
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1 48 。<br />
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138
。<br />
<br />
、<br />
2006。<br />
3<br />
<br />
<br />
<br />
6036 2075. 3 1841. 6 = 100 = 10000<br />
<br />
6036 7. 28 . 92 = 4. 61 = 9. 21<br />
<br />
6638 35. 25 18. 61 = 0 = 100<br />
6668 27. 18 30. 67 = 1 = 300<br />
6752 74. 00 24. 35 = 6 = 95<br />
6719 5. 52 3. 91 = 0 = 20<br />
<br />
6752 . 67 . 47 0 = 1 = <br />
<br />
6752 . 31 . 46 0 = 1 = <br />
<br />
6752 . 38 . 49 0 = 1 = <br />
7080 7. 61 2. 99 = 3 = 15<br />
<br />
7062 . 36 . 18 = 0. 11 = 0. 75<br />
<br />
7089 12. 2 3. 26 = 0 = 18<br />
6980 . 37 . 48 1 = <br />
0 = <br />
6946 1 = <br />
2 = <br />
3 =<br />
<br />
7101 . 47 . 50 1 = <br />
0 = <br />
7093 . 18 . 39 1 = <br />
0 = <br />
7096 . 84 . 37 1 = <br />
0 = <br />
7101 . 83 . 38 1 = <br />
0 = <br />
7084 43. 14 13. 36 = 17 = 77<br />
6001 8. 13 4. 82 = 0 = 18<br />
7102 . 62 . 49 1 = <br />
0 = <br />
<br />
6832 6. 89 . 61 = 3. 22 = 8. 01<br />
139
2012. 1<br />
4. <br />
<br />
、<br />
、<br />
、<br />
。<br />
<br />
、<br />
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<br />
。 2 <br />
<br />
。3 。<br />
<br />
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2004。<br />
<br />
<br />
2004 <br />
。<br />
<br />
<br />
<br />
。<br />
<br />
。<br />
<br />
<br />
<br />
。<br />
QuantθY *<br />
Y * = X'β θ<br />
+ μ θ<br />
QuantθY *<br />
QuantθY *<br />
X= X'β θ<br />
X μ θ <br />
X= 0。 θ 0 < θ < 1 β θ <br />
∑ θ Y i - X i β + ∑ 1 - θ Y i<br />
iY i ≥X i β<br />
iY i ≤X i β<br />
min 1 n<br />
β<br />
<br />
- X i β <br />
<br />
θ 1 - θ 。 θ 0 < θ < 1<br />
∧<br />
QuantθY *<br />
∧<br />
X= X' β θ<br />
<br />
。<br />
。<br />
0. 25、0. 5、0. 75<br />
1<br />
2<br />
<br />
2006<br />
。<br />
、 、 、<br />
、<br />
。<br />
140
。<br />
、<br />
<br />
<br />
。<br />
<br />
logy ik = β 0k + β 1k x 1ik + β 2k x 2 1ik + β 3k x 2ik + β 4k x 2 2ik<br />
+ β 5k x 3ik + β 6k x 4ik + ∑β j x jik + ε ik 1<br />
x 1ik <br />
x 2ik <br />
x 3ik x 4ik β j <br />
。<br />
<br />
β 0k = α 0 + μ 0k<br />
β 1k = α 1 + λ 1 z k + λ 2 z 2 k + μ 1k<br />
β 3k = α 2 + λ 3 z k + λ 4 z 2 k + μ 2k<br />
β 5k = α 3 + λ 5 z k + μ 3k<br />
β 6k = α 4 + λ 6 z k + μ 4k<br />
β j = α j 2<br />
2 β 0k <br />
<br />
<br />
β 1k <br />
<br />
<br />
β 3k <br />
<br />
<br />
β 5k <br />
<br />
<br />
β 6k <br />
<br />
<br />
β j <br />
<br />
。<br />
2 1<br />
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<br />
+ α 2 + λ 3 z k + λ 4 z 2 k + μ 2k x 2ik + α 6 x 2 2ik<br />
+ α 3 + λ 5 z k + μ 3k x 3ik + α 4 + λ 6 z k + μ 4k x 4ik<br />
+ ∑α j x jik + ε ik 3<br />
141
2012. 1<br />
3<br />
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<br />
+ ∑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<br />
+ 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<br />
、<br />
1 <br />
<br />
。1 2 <br />
<br />
<br />
1 <br />
<br />
U 。<br />
4 <br />
<br />
。<br />
<br />
<br />
<br />
<br />
。<br />
2 <br />
<br />
1 6. 5% 2 <br />
Xie &<br />
Hannum 1996 、<br />
2003<br />
2009 <br />
、<br />
<br />
2% - 10% <br />
<br />
<br />
19. 5% 。 <br />
<br />
。<br />
3 <br />
“ ”<br />
<br />
“ ”<br />
。<br />
<br />
<br />
<br />
。 <br />
<br />
。 <br />
1<br />
2<br />
Stata qfit <br />
Qfitquadratic prediction plot。<br />
<br />
exp0. 063- 1。 。<br />
142
U <br />
<br />
<br />
。<br />
1 1 - 1 1 - 2 。<br />
1 。<br />
4<br />
<br />
1<br />
2 3<br />
<br />
<br />
. 008 ***<br />
<br />
/100 - . 008 ***<br />
<br />
. 052 ***<br />
<br />
/100 - . 108 **<br />
. 063 *** . 051 ***<br />
<br />
. 178 *** . 165 ***<br />
<br />
. 087 *** . 174 *** . 153 ***<br />
<br />
<br />
. 424 *** . 298 *** . 254 ***<br />
. 179 *** . 117 *** . 095 ***<br />
<br />
. 265 *** . 226 *** . 206 ***<br />
<br />
. 048 . 089 ** . 112 ***<br />
<br />
. 034 . 111 *** . 109 ***<br />
- . 013 *** - . 007 *** - . 005 ***<br />
<br />
<br />
. 094 ** . 052 . 046<br />
. 152 *** . 064 * . 047<br />
. 260 *** . 121 *** . 106 **<br />
. 054 . 055 . 061<br />
<br />
. 157 *** . 143 *** . 168 ***<br />
<br />
. 366 *** . 303 *** . 264 ***<br />
4. 857 *** 4. 283 *** 3. 976 ***<br />
5153 5153 5153<br />
R 2 . 257 . 309 . 328<br />
BIC 11458. 8 11095. 1 10980. 3<br />
* p < 0. 05**p < 0. 01***p < 0. 001。<br />
143
2012. 1<br />
1<br />
<br />
2<br />
<br />
<br />
。<br />
<br />
16. 5% <br />
<br />
<br />
28. 9% <br />
10. 0% <br />
<br />
22. 9% <br />
11. 9% <br />
11. 5% <br />
1<br />
<br />
0. 5% <br />
<br />
<br />
<br />
<br />
<br />
18. 3% 。<br />
<br />
<br />
。5 <br />
。<br />
144
5<br />
<br />
0. 25 0. 5 0. 75 <br />
. 008 *** . 009 *** . 006 ***<br />
<br />
/100 - . 009 *** - . 009 *** - . 005 *<br />
. 049 *** . 040 *** . 024 **<br />
<br />
/100 - . 118 ** - . 076 * . 006<br />
. 056 *** . 054 *** . 048 ***<br />
<br />
. 157 *** . 103 *** . 112 ***<br />
<br />
. 096 *** . 112 *** . 178 ***<br />
<br />
<br />
. 218 *** . 264 *** . 266 ***<br />
. 092 *** . 122 *** . 130 ***<br />
<br />
. 209 *** . 206 *** . 208 ***<br />
<br />
. 171 *** . 126 *** . 141 ***<br />
<br />
. 114 *** . 137 *** . 136 ***<br />
- . 006 *** - . 002 - . 002<br />
<br />
<br />
. 103 ** . 039 . 031<br />
. 080 * . 068 * . 023<br />
. 042 . 160 *** . 130 ***<br />
. 038 . 043 . 083 **<br />
<br />
. 165 *** . 178 *** . 163 ***<br />
<br />
. 270 *** . 253 *** . 276 ***<br />
3. 694 *** 4. 030 *** 4. 356 ***<br />
5167 5167 5167<br />
* p < 0. 05**p < 0. 01***p < 0. 001。<br />
5 <br />
<br />
<br />
<br />
。 1 <br />
。 <br />
<br />
。 5 <br />
0. 008<br />
0. 049<br />
0. 006 0. 024 <br />
<br />
。<br />
145
2012. 1<br />
<br />
<br />
、<br />
- 0. 009、- 0. 005 <br />
、<br />
- 0. 118、- 0. 006 <br />
。 <br />
<br />
<br />
<br />
<br />
。<br />
<br />
<br />
<br />
。<br />
2 <br />
<br />
<br />
<br />
<br />
<br />
。6 <br />
<br />
<br />
、<br />
<br />
<br />
<br />
。<br />
<br />
0. 032 <br />
<br />
<br />
<br />
<br />
<br />
Bian 1997Zhou 2000。<br />
<br />
<br />
<br />
<br />
。<br />
6<br />
、<br />
<br />
<br />
5. 943 *** 5. 891 *** 5. 849 ***<br />
. 008 *** . 008 *** . 019 ***<br />
<br />
/100 - . 007 *** - . 007 *** - . 008 ***<br />
. 046 *** . 046 *** . 002<br />
<br />
/100 - . 069 * - . 070 * - . 076 *<br />
. 053 *** . 044 *** . 059 ***<br />
<br />
. 134 *** . 124 * . 106 <br />
146
6<br />
<br />
<br />
<br />
. 274 *** . 270 *** . 264 ***<br />
. 112 *** . 109 *** . 103 ***<br />
<br />
. 185 *** . 186 *** . 185 ***<br />
<br />
. 193 *** . 197 *** . 201 ***<br />
<br />
. 079 ** . 080 ** . 079 **<br />
- . 005 *** - . 005 *** - . 005 ***<br />
<br />
<br />
<br />
. 035 . 036 . 036<br />
. 056 . 053 . 053<br />
. 075 * . 068 . 069 *<br />
. 032 . 032 . 026<br />
<br />
* . 032 * - . 009<br />
* . 025 . 075<br />
<br />
* - . 066 ***<br />
<br />
* . 083 ***<br />
<br />
* . 233 ***<br />
<br />
* - . 234 **<br />
<br />
Varμ 0 . 06 . 02 . 01<br />
Varμ 1 2. 60 × 10 - 4 2. 60 × 10 - 4<br />
Varμ 2 9. 28 × 10 - 22 5. 20 × 10 - 18<br />
<br />
Varμ 1 3. 77 × 10 - 6<br />
<br />
Varμ 2 3. 20 × 10 - 6<br />
<br />
Varε . 48 . 48 . 47<br />
rho . 111 . 039 . 028<br />
5387 5387 5387<br />
Log likelihood - 5714. 1 *** - 5698. 4 *** - 5682. 1 ***<br />
<br />
LR chi2 test . 000 . 000<br />
p < 0. 1* p < 0. 05**p < 0. 01***p < 0. 001。<br />
147
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149
2012. 1<br />
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2004《<br />
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4 。<br />
、<br />
2001《<br />
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》2 。<br />
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2001《 、<br />
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》2 。<br />
、<br />
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2003 <br />
》《<br />
》2 。<br />
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2009《<br />
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》2 。<br />
<br />
1994《 “<br />
”》《 》1 。<br />
——— 1995《<br />
》《<br />
》1 。<br />
——— 1996《<br />
》《 》4 。<br />
<br />
1995《<br />
<br />
》《 》6 。<br />
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2003《<br />
》《<br />
》6 。<br />
<br />
2006《<br />
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——— 2010《<br />
》《 》5 。<br />
、<br />
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》《<br />
<br />
》6 。<br />
、<br />
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》《 》3 。<br />
、<br />
2011《<br />
<br />
》《 》3 。<br />
、<br />
2011《<br />
<br />
》《 》1<br />
。<br />
<br />
1996《<br />
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1 。<br />
<br />
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、<br />
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Press.<br />
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”American Sociological Review 545.<br />
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University Press.<br />
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3.<br />
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China Regional Variation in Earnings Inequality in Reform-Era Urban China. ”American Journal<br />
of Sociology 1014<br />
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from Panel Data. ”American Journal of Sociology 1054.<br />
<br />
、<br />
<br />
<br />
151
AbstractBased on synthesized perspective of formal and informal institutions and a<br />
case of Yonglian village this paper analyzes the evolution of relationship between village<br />
and enterprise. The result shows that because of formal institutions the productivity<br />
of entrepreneurs' human capital is getting higher and higher compared with the<br />
productivity of village leaders' political capital. As a resultenterprise is increasingly<br />
dominant in the relationship between village and enterprise. Howeverbecause of informal<br />
institutionsespecially social contractthe evolution of relationship between<br />
village and enterprise is nonlinear but diverse. One of the diverse evolution models is<br />
the change from“the company of village”to“the village of company”. “The village<br />
of company”model is of intrinsic efficiency and stability because it is constructed and<br />
enhanced by both formal and informal institutions.<br />
The Practical Logic of Rural Land Property Rights as a Bundle of RelationshipsA<br />
new analytical framework …………… Zang Deshun 78<br />
AbstractBased on Zhou Xueguang's proposition“property rights as a bundle of relationships”<br />
the author proposes the analytical conceptsprinciples levels and the typology<br />
of“rural land property rights as a bundle of relationships”. The author then<br />
observes and analyzes the new changes of rural land property rights and social structures<br />
using this new analytical framework. The new theory on rural land property<br />
rights is empirically supported by four typical land dispute cases from Zang village.<br />
The conclusion of this article is that social relations have played an important role in<br />
shaping the boundaries forms and interests of rural land property rights.<br />
The Evolution of Assortative Mating Patterns in the Process of China's<br />
Modernization ……………………… Qi Yaqiang & Niu Jianlin 106<br />
AbstractDrawing data from the CGSS2006this paper examines the phenomenon<br />
and evolution of assortative mating patterns in China during the past several decades.<br />
Results show that the main pattern of China's assortative mating is the prevalence of<br />
homogamy across various social groups. In the case of heterogamous marriagessignificant<br />
symmetrical patterns are observed. The assortative mating patterns in China<br />
evolve over time during the past half centurywhich provides partial support to the<br />
industrialization theoryalong with China's industrialization and modernizationthe<br />
achieved characteristics have been increasingly important in the mating selection<br />
processwhile the importance of the ascribed features had been declining until the<br />
1990sand then started to rise again since the early 1990sdue to the rising uncertainty<br />
along with deeper marketization and modernization. Finallyfurther analysis<br />
shows that the likelihood of homogamy /heterogamy for specific subgroups varied substantially<br />
in the past several decades.<br />
Market Reforms and the Income Effects of Social Network Capital …<br />
……………………………… Zhang Shun & Cheng Cheng 130<br />
244
AbstractSocial network capital is an important mechanism affecting income distribution.<br />
The authors decompose social network capital into the forms of potential and<br />
mobilized social network capitaland find that the higher the two forms of social network<br />
capital the higher the incomebut the rates of income return decrease with the<br />
increase of social network capital. The authors also find that in localities with a higher<br />
degree of marketizationthe income return to potential social network capital is<br />
lower but income return to mobilized social network capital is higheralthough the<br />
rate of income return is getting lower with increasing marketization. The authors explore<br />
the underlying logic of these findings from the perspective of interactions of multiple<br />
mechanisms of resources allocation in the context of varied degrees of marketization<br />
across localities.<br />
A Study on the Income Effects of Hukou Reform on the Floating Population<br />
………………………………………………… Wei Wanqing 152<br />
AbstractTraditional studies explaining the effect of Hukou types on wage disparity<br />
basically adopt Blinder-Oaxaca decomposition framework. However the Blinder-Oaxaca<br />
decomposition method in studying the mean income differences between urban<br />
residents and migrant workers couldn't eliminate two types of selection bias in observational<br />
datathe first type is due to the heterogeneity of sampleand the second bias<br />
is due to the omission of key variables. Adopting the newly developed propensity<br />
score matching method to control for sample selection biasand the Bootstrap method<br />
to overcome the small sample biasthis paper tries to explore the income effects of<br />
Hukou restriction on floating population based on China's household income survey<br />
data. The results show that 1the effect of Hukou on the income of migrants is<br />
very significantand the negative effect with control for sample selection biasis<br />
higher than those of ordinary regression results with proxy variables 2the effect of<br />
Hukou on low propensity scores migrants is positive however the effect on high propensity<br />
scores migrants is negative 3the higher the degree of marketizationthe<br />
stronger the negative effects.<br />
Some Reflections on the Corporatist Model and Its Applicability in the<br />
Studies of the Relationship between State and Society in China ………<br />
………………………………………………… Wu Jianping 174<br />
AbstractRecently the corporatist model has been used more and more frequently to<br />
generalize or predict the development of the relationship between state and society in<br />
Chinaespecially in the studies of labor unions or employers. The author argues that<br />
the generalization and prediction of China based on the corporatist model is inappropriatebecause<br />
they are based on a biased understanding of corporatism. The author<br />
then proposes that we should have a general or comprehensive understanding of corpo-<br />
245