38 4 2014 7 Vol. 38 No. 4 July 2014 63 Population Research * 100872 Determinants of Changes in Housing Sources for Migrant Workers in Urban China An Empirical Study Based on a Twelve-city Migrant Survey Wang Yujun Yang Wenhui Liu Zhilin Abstract Housing for migrant workers has become a major social challenge to the large-scale urbanization in China. Many studies have demonstrated housing disadvantages of temporary migrants in that migrants have limited access to both market-based housing due to their economic conditions and government-sponsored affordable housing due to their official residency hukou. In particular much literature has analyzed institutional and individual factors of migrant housing conditions. This paper however investigates the extent to which migrant workers are able to move from employer-provided dorms or housing provided by social ties to market-based housing while working and living in cities and institutional and individual factors contributing to such changes. Statistical analysis using data derived from a twelve-city migrant survey shows that whereas most migrant workers live in dorms from employers and housing from social ties upon moving to cities many of them gradually move to rent or even purchasing housing from formal and informal housing markets. The odds of such change are significantly influenced by factors such as years of working in the city types of migration willingness to permanently settle in the city migrant social capital education and types ofdanwei. Keywords Migrant Workers Housing bources Market-based Housing Urban Integration Authors Wang Yujun is Assistant Professor School of Sociology and Population Studies Renmin University of China. Email yujunwang @ ruc. edu. cn Beijing 100872. Yang Wenhui is Master Student School of Public Policy and Management Tsinghua University. Liu Zhilin is Associate Professor School of Public Policy and Management Tsinghua University. * 14XNJ020
64 38 2010 2. 21 16. 53% 2010 2011 2010 35. 9% 2010 2011 Wang 2004 2008 Xu et al. 2011 Tao and Xu 2007 2006 2010 2006 2008 Huang 2003 He et al. 2010 Wu 2002 2004 1 1. 1 1996 Huang 2003 Wu 2002 2004 Zheng et al. 2008 Wang et al. 2010 He et al. 2010 2007 2007 2007 24 2007 276
4 65 1 Table 1 1 Provisions of the Affordable Housing Policy on Target Population in Five Cities and Provinces 773. 8 2012 2011 11 1182 2012 4 * 2149 2013 1 400 2011 3 898 2012 5 1 2 2010 3 2013 12 31 * 2008 2010 Fan 2003 Zhuang 2009 2008 2003 Wu 2002 2004 2009 Zhuang 2009 2011 Li and Zhang 2011 Li et al. 2009
66 38 2002 1. 2 2010 Wang et al. 2010 2008 12 ~ 2009 8 5 40 1 2398 5. 6 31. 9 51. 4% 30 56. 2% 62. 4% 81. 6% 2 2. 1 37. 6% 36. 5% 2 48. 46% 40. 46% 35. 89% 67. 14% 1
4 67 Table 2 2 Resources of First Housing of Urban Migrant Works and the Situation when they Arriving at the City % % % 48. 46% 29. 59% 21. 95% 943 23. 66% 40. 46% 35. 89% 875 46. 23% 36. 16% 17. 61% 318 16. 43% 67. 14% 16. 43% 140 78. 18% 14. 55% 7. 27% 55 37. 62% 36. 47% 25. 91% 2331 Pearson chi2 8 = 241. 27 p = 0. 000 2009 2. 2 3 35. 9% 59. 3% 23 5% 2010 30. 63% 68. 34% 3 55. 93% 28. 71% 91. 06% N Table 3 3 Changes in Housing Resources of Urban Migrant Workers % % % N 68. 34% 30. 63% 1. 03% 875 7. 53% 91. 06% 1. 41% 850 28. 71% 55. 93% 15. 36% 599 35. 89% 59. 25% 4. 86% 2324 Pearson Chi2 4 = 906. 134 P = 0. 000 2009
68 38 3 3. 1 4 1 0 1490 4 60% 13% 11% 1 5 0 1 1 4 4 Table 4 Descriptive Statistics of Key Variables % 603 40. 47 887 59. 53 674 45. 27 815 54. 73 1215 81. 54 275 18. 46 1 62 3. 2% 0
4 69 4 % 634 42. 55 856 57. 45 1980 654 43. 92 1980 835 56. 08 1041 70. 67 188 12. 76 218 14. 80 26 1. 77 627 42. 08 863 57. 92 288 19. 33 412 27. 65 448 30. 07 342 21. 19 710 55. 99 558 44. 01 1 285 22. 73 2 268 21. 37 3 237 18. 90 4 255 20. 33 5 209 16. 67 191 13. 09 1268 86. 91 156 10. 81 1287 89. 19 5. 48 5. 18 a 9. 37 3. 24 a 1068. 9 1808. 8 a a 2009 3. 2 Binary Logistic Regression
70 38 5 Logistic 5 3. 2. 1 9. 1% 35. 1% 5 50% 3. 2. 2 52. 0% 83. 5% 3. 2. 3 15. 1% = 0. 140 5 1. 75 3. 2. 4 0. 10 2. 87
4 71 0. 10 2010 5 2008 5 Logistic Table 5 Logistic Regression Results for Determinants of Changes in Housing Resources of Migrant Workers in Cities Unstandardized Coefficient B SE Exp B B SE Exp B 0. 102 *** 0. 015 1. 108 *** 0. 087 *** 0. 017 1. 091 *** - 0. 315 * 0. 152 0. 730 * - 0. 432 * 0. 172 0. 649 * - 1. 189 *** 0. 239 0. 305 *** - 1. 394 *** 0. 268 0. 248 *** - 1. 009 *** 0. 230 0. 364 *** - 0. 978 *** 0. 250 0. 376 *** - 0. 940 *** 0. 247 0. 391 *** - 1. 067 *** 0. 272 0. 344 *** 0. 419 * 0. 199 1. 520 * 0. 607 ** 0. 226 1. 835 ** 0. 103 0. 207 1. 109-0. 056 0. 241 0. 946 a 0. 140 * 0. 055 1. 151 * a 0. 305 * 0. 154 1. 356 * 0. 026 0. 178 1. 026 = 1-0. 359 ** 0. 133 0. 698 ** - 0. 225 0. 150 0. 798 = 1 1. 018 *** 0. 172 2. 769 *** 1. 054 *** 0. 194 2. 868 *** 80 = 1 0. 028 0. 177 1. 029-0. 146 0. 198 0. 864-0. 012 0. 024 0. 988-0. 052 + 0. 028 0. 950 + - 0. 027 0. 052 0. 973-0. 052 0. 057 0. 949 0. 390 + 0. 217 1. 477 + 0. 390 0. 246 1. 478 1. 891 *** 0. 199 6. 626 *** 2. 142 *** 0. 229 8. 518 *** - 0. 360 0. 611 0. 697-0. 171 0. 615 0. 843-0. 530 0. 381-0. 448 0. 427 LR Chi-Square 410. 990 *** 402. 062 *** - 2 Log likelihood 1475. 053 1189. 793 McFadden's R 2 0. 218 0. 253 Nagelkerke R 2 0. 344 0. 390 N 1400 1176 a + p < 0. 10 * p < 0. 05 ** p < 0. 01 *** p < 0. 001 2009
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