* 1. 2. 3. * 10BSH016 CCNU17Z02004 2014 46
20 50 1986 2010 1986 2016 1989 1989 Jorgenson 1967 1987 1988 20 70 2010 2014 47
2017. 4 Cloke 1997 48
2009 2014 20 80 1994 2009 1 2 3 49
2017. 4 20 2014 2009 2006 5 2006 221 2006 12 2006 50
2016 1 1986 1998 Skinner 1977 1 1 1 19 J. H. Thünen 1986 51
2017. 4 / 20 90 1992 1992 2002 2006 2007 2000 1 2. 2 2006 52
Walder 2002 1820 4951 55% 19% 5% 1997 1 Nee 1989 2008 2009 2000 2001 2007 1 18. 8% 2006 5 2. 8 2008 2006 2003 53
2017. 4 2006 2007 2010 2012 2003 2010 2006 2008 2 2001 195-200 2000 3. 73% 2011 1 6. 9% 2013 2007 54
2004 18-23 3. 5% 2013 1 6% 2009 1999 1996 3 2006 CGSS2006 55
2017. 4 28 969 10151 410 4138 / 3949 95. 4% 1. CGSS2006 2005 2. 1 CGSS2006 3949 410 410 56
23. 9km - 0. 76km 1 111km 2 2009 145 1 2 2 2 76 6. 42% 40. 13% 1 2 57
2017. 4 CGSS2006 KMO Bartlett 70. 71% 0-100 3 2007 2-5 CGSS2006 1 0 1 4 2012 28-29 CGSS2006 1 61 1 60 2 1 58
12 5 ISEI 7 1-7 7 100% 50% 10% 0% 1 7 0-28 2 3. 1 1 / 11885. 75 14843. 66 3949 8. 97. 91 3949 1 2 4 CGSS2006 0% CGSS2006 59
2017. 4 1 / 1 16% 607 2 61% 2420 3 23% 922 12. 52 5. 96 3949 6. 80 8. 48 3949 8. 31 3. 12 3949 = 1. 30 3949 2. 30 2. 94 3949 = 1. 91 3949 46. 92 11. 25 3949 2 /100 23. 28 10. 75 3949 = 1. 98 3949 = 1. 10 3949 2. 44 1. 02 3949 3. 00 4. 46 3949 31% 1217 43% 1686 26% 1046 OLS 60
log y ij = β 0j + β 1j x 1ij + β kj x kij + β lj x 1ij x kij + β mj x mij + ε ij x 1ij x kij x mij β 0j β 1j β kj β lj β mj ε ij β 0j = γ 0 + u 0j u 0j j y β 0j γ 0 j y u 0j u 0j OLS 2 61
2017. 4 2 1a 1b 2a = 1 2 /100 = 1 = 1. 030. 043 -. 001. 0. 008 -. 008. 0. 009. 585 ***. 085. 069. 044. 139 *** ***. 025. 003 -. 307 ***. 114 -. 405 ***. 125 ***. 009. 002 ***. 022. 002. 048 ***. 005. 158 *** = 1. 031 ***. 036. 004 2 1 3 1 2 3 2 -. 087 **. 037 -. 124 ***. 045. 030. 043 -. 001. 0. 008 -. 008. 0. 009. 587 ***. 085. 065. 043. 141 ***. 027 ***. 003 -. 285 **. 119 -. 406 ***. 130. 020 ***. 005. 022 ***. 002. 047 ***. 005. 157 ***. 031. 036 ***. 004 -. 088 **. 037 -. 142 ***. 045 -. 010 *. 006 -. 026 ***. 007. 029. 043 -. 001. 0. 008 -. 008. 0. 009. 594 ***. 085. 069. 043. 142 ***. 025 ***. 003 -. 293 **. 119 -. 396 ***. 130. 009 ***. 002. 014 ***. 004. 047 ***. 005. 165 ***. 031. 036 ***. 004 -. 087 **. 037 -. 132 ***. 045. 006. 004 / = 3949 /24. 032. 043 -. 001. 0. 008 -. 008. 0. 009. 588 ***. 085. 071. 044. 139 ***. 025 ***. 003 -. 305 ***. 115 -. 401 ***. 126. 009 ***. 002. 022 ***. 002. 064 ***. 011. 156 ***. 031. 036 ***. 004 -. 079 **. 037 -. 123 ***. 046 2b. 030. 043 -. 001. 0. 008 -. 008. 0. 009. 585 ***. 085. 069. 044. 139 ***. 025 ***. 003 -. 307 ***. 115 -. 405 ***. 126. 009 ***. 002. 022 ***. 002. 048 ***. 005. 134 **. 068. 036 ***. 004 -. 100 **. 045 -. 126 **. 053 3. 031. 043 -. 001. 0. 008 -. 009. 0. 009. 587 ***. 085. 063. 044. 139 ***. 025 ***. 003 -. 309 ***. 112 -. 404 ***. 122. 009 ***. 002. 022 ***. 002. 048 ***. 005. 161 ***. 031. 031 ***. 009 -. 089 **. 037 -. 128 ***. 045 62
1a 1b 2a 2b 2 3 3. 020 ***. 005 2 3 -. 016. 0. 011 -. 026 ** 2 3. 040. 075. 001. 090 2 3 -. 002. 0. 011. 028 ** 7. 705 ***. 221 7. 822 ***. 220 7. 855 ***. 222 8. 095 ***. 221 7. 714 ***. 221 7. 775 ***. 220 Var. 046. 016. 050. 017. 050. 017. 046. 016. 046. 016. 044. 015 Var. 588. 586. 585. 588. 588. 587 Rho. 072. 079. 078. 073. 073. 069-4585. 4-4578. 5-4575. 8-4583. 4-4585. 1-4581. 1 1 * p < 0. 1 ** p < 0. 05 *** p < 0. 01 2 3 1a - 3 1a 1b 1a 63
2017. 4 2. 02% e 0. 020-1 1. 01% e 0. 020-0. 010-1 e 0. 020-0. 026-1 < 0 1 1b 1 1. 41% e 0. 014-1 1 3. 46% e 0. 014 + 0. 020-1 2. 5 1 2a 2b 2a 1 6. 61% e 0. 064-1 64
3. 87% e 0. 064-0. 026-1 2. 7 2 2006 2008 2b 2 3 65
2017. 4 3. 15% e 0. 031-1 3. 15% e 0. 031-1 1 6. 08% e 0. 031 + 0. 028-1 3 2001 CGSS2006 1. 1 2 66
2. 3. 1. 2. 3. 4. 67
2017. 4 5. 2009 FS 2000 2002 2 2007 2001 2 2012 1986 1989 2009 2006 2006 12 2010 2003 3 1996 4 2010 1 2004 2001 6 2014 4 1989 2009 2014 1 D. 2001 2000 3 1986 1998 2000 4 68
W. 1987 1994 2 2011 9 M. P. 1988 2008 9 2013 3 2012 1 1992 2 2007 2 1999 2 2009 12 2016 5 2009 1 2006 3 1997 2 2010 5 2009 4 1992 3 2007 3 2006 2 Cloke P. 1997 Country Backwater to Virtual Village Rural Studies and The Cultural Turn. Journal of Rural Studies 13 4. Jorgenson D. W. 1967 Surplus Agricultural Labor and the Development of a Dual Economy. Oxford Economic Papers 19 3. Nee Victor 1989 A Theory of Market Transition From Redistribution to Markets in State Socialism. American Sociological Review 54 5. Skinner G. W. 1977 The City in Late Imperial China. Stanford Calif Stanford University Press. Walder Andrew G. 2002 Markets and Income Inequality in Rural China Political Advantage in an Expanding Economy. American Sociological Review 67 2. 69
theorize the village and its transformation by a typological approach. Focusing on three empirical subtypes of villages with the absence of villagers this paper explores the transformational tension and integration between the villages and villagers. Villages with the absence of villagers illustrate how the villagers and villages are locked in a mutualistic symbiosis. The citizenization of villagers does not necessarily result in the rapid collapse of rurality. Instead the reintegration between the villagers and villages endows a new rurality to the villages. Urban-rural Relationship the Sequence of Spatial Difference and Income Increment of the Rural Households An Analysis Based on the Chinese General Social Survey Data Zhang Zhaoshu & Wang Jian 46 Abstract Based on the logic of spatial transformation of the rural populations income and the sequential types of the urban-rural relationship this paper systematically explores the spatial differences among three mechanisms designed to increase the farmers income. The study finds out that firstly there is a clear positive association between the degree of regional de-agriculturization and the farmers household income increment among those who reside near the city while the effect of domestic de-agriculturization adopts the characteristics of reverse sequence in spatial differences. Secondly cultural human capital has a greater marginal effect on the income increment of rural households among those who live nearby the urban areas while the beneficial influence of skilled human capital on rural household income has no obvious spatial difference. Thirdly the positive impact of social network on the household income is more outstanding in the remote rural areas. The above conclusions may shed light on the policy-making. In order to increase the income of rural households it is important to strengthen the vocational skill training of the rural labor force and promote the transformation of household business structure and the transformation of the rural labor force. Space-time Deconstruction and the Reproduction of the Rights to Land Rent An Exploration of Non-agricultural Value-added Revenue Distribution Mechanisms of Rural Land Zheng Xiongfei 70 Abstract Space-time deconstruction is a necessary logic to understand the formation and evolution of the land rent. Time rent reveals that rent has the double characteristics of periodicality and diachronicity. Thus the distribution of land rent must consider the 243