% %

2014 20 2 POPULATION & DEVELOPMENT Vol. 20 No. 2 2014 430073 2010 C913 A 1674-1668 2014 02-0033 - 11 The Analysis of the Social Security of Migrant Workers and Their Integration into Urban Society SHI Zhi-lei SHI Nian The Institute of Public Administration Zhongnan University of Economics and Law Wuhan 430073 China Abstract The integration of migrant workers into urban society has become the focus of academia and all levels of government. Based on the dynamic monitoring data of Hubei province in 2010 the paper analyzes the social security of migrant workers. With the help of econometric tools the paper studies the influence of social security of migrant workers on their integration into urban society from the perspective of microeconomics. The result indicates that participation in medical insurance and unemployment insurance has a significant positive effect on migrant workers integration into urban society. Besides non - fixed term labor contracts for migrant workers also has a positive effect on migrant workers integration into urban society. The level of integration into urban society is higher for those migrant workers having paid housing accumulation than those who don t. Living in low - rent housing has a positive impact on integration into urban society however it does not apply to migrant workers living in a house free of charge or rent one. Key words migrant workers social security integration into urban society 2013-09 - 02 2014-03 - 12 1984 1992 33

2014 2 1 2012 52. 57% 35. 29% 1 2012 26261 16336 2 2012 2002 2004 2007 2005 2004 2002 2004 2004 2012 2003 2006 2011 2007 2010 2006 2002 1 2013 6 26 2 2012 34

2003 2004 2004 2004 2005 2013 2013 2011 2 2. 1 2010 15-59 PPS 12 1 1 1995 4200 3660 1 1846 50. 7% 1792 49. 3% 36. 38 18 60 7. 98 31 ~ 40 40. 2% 21 ~ 30 41 ~ 50 23. 9% 31. 3% 3375 92. 8% 6. 6% 0. 5% 0. 2% 68. 3% 11. 0% 18. 2% 2. 6% 59. 2% 24. 2% 16. 6% 44. 4% 18. 4% 12. 1% 1 35

2014 2 2. 2 2. 2. 1 2006 2008 5 2010 10 5 0 5 1 1 0 1 0 1 0 0 1 2 3 4 0. 7% 0 7. 4% 1 28. 4% 2 46. 9% 3 16. 6% 4 2. 2. 2 36

1 = 1 = 0 0 1 0. 10 0. 303 = 1 = 0 0 1 0. 21 0. 408 = 1 = 0 0 1 6 0. 232 = 1 = 0 0 1 2 0. 135 = 1 = 0 0 1 1 0. 110 = 4 = 3 1 = 2 = 1 4 3. 87 0. 440 = 1 = 0 1 4 2. 08 0. 497 = 1 = 2 0 = 3 = 4 1 1 4 8 1. 97 0. 267 1. 257 = 1 = 0 0 1 1 76 = 6 = 5 = 4 1 6 4. 84 0. 775 = 3 = 2 = 1 = 1 = 0 0 1 0. 49 0. 500 = 1 = 0 0 1 0. 93 0. 248 0 30 4. 60 4. 750 0 100 3. 91 3. 624 = 0 = 1 0 = 2 = 3 = 4 4 2. 713 0. 852 1 3 3. 1 3. 1. 1 2 21. 4% 5. 3 24. 1% 4. 8 37

2014 2 2 3. 1. 2 % % % % % 0. 8 6. 4 24. 1 47. 2 21. 4 9. 21 56 0. 7 7. 5 28. 9 46. 8 16. 1 19. 6% 0. 3 5. 7 23. 3 48. 6 22. 1 33. 811 00 *** 0. 8 7. 8 29. 8 46. 4 15. 1 3 6. 2 21. 5 47. 4 24. 9 14. 747 05 *** 66. 7% 0. 7 7. 5 28. 9 46. 8 16. 1 22. 1 54. 4 23. 5 9. 433 51 * 0. 7 7. 5 28. 6 46. 7 16. 5 35. 6 55. 6 8. 9 6. 866 0. 143 0. 7 7. 5 28. 3 46. 8 16. 7 * ***** 10% 5% 1% 4. 8 4. 8 47. 8% 45. 5% 7. 5% 63. 6% 39. 2% 3 3 3. 1. 3 % % % % % 1. 0 23. 852 21 ** 0. 7 6. 5 2. 1 7. 7 0. 8 0. 9 7. 9 7. 8 7. 5 9. 1 3. 9 11. 8 28. 6 14. 6 31. 6 28. 8 28. 5 23. 7 26. 9 9. 1 16. 7 23. 5 44. 2 66. 7 57. 9 46. 4 47. 8 47. 8 45. 5 63. 6 66. 7 39. 2 19. 6 10. 5 16. 5 15. 0 19. 8 20. 1 18. 2 16. 7 21. 6 * ***** 10% 5% 1% 5. 023 0. 285 17. 193 0. 142 10. 3 7. 2 50% 50% 3660 2 38

4 4 3. 1. 4 % % % % % 48. 8% 0. 7 7. 4 2. 8 8. 3 0. 7 7. 4 6. 8 5. 5 19. 0 28. 5 23. 6 29. 1 5 17. 1 23. 6 57. 1 46. 8 59. 7 46. 3 57. 5 38. 2 23. 8 16. 6 5. 6 16. 5 10 5 18. 5 32. 7 3. 498 0. 478 48. 777 00 *** * ***** 10% 5% 1% 7. 9 < 3 4-10 11-20 > 20 1500 1501-2500 2501-5000 5001-10000 10000 45% 6. 9 6. 3 5 % % % % % 3 0. 7 0. 7 1. 7 0. 6 0. 8 0. 5 1. 0 1. 5 0. 7 0. 7 0. 5 7. 4 7. 4 6. 7 7. 4 4. 9 10. 5 9. 4 18. 2 12. 9 9. 5 6. 6 3. 7 5. 4 30. 1 26. 8 34. 3 28. 0 26. 0 30. 9 33. 2 27. 3 39. 4 30. 1 27. 1 24. 0 27. 9 48. 8 45. 0 48. 1 46. 8 50. 3 42. 0 44. 9 48. 5 35. 6 43. 2 47. 9 58. 0 46. 8 13. 0 20. 1 9. 2 17. 1 18. 1 16. 1 11. 5 6. 1 10. 6 16. 5 17. 9 13. 7 19. 8 * ***** 10% 5% 1% 34. 04 00 *** 15. 42 04 *** 74. 01 00 *** 75. 71 00 *** 50. 3% 18. 1% 3 4-10 42% 30. 9% 20 48. 5% 6. 1% 20 1500 1. 5% 10000 5 3. 2 9 39

2014 2 6 6-08 42 *** - 06-53 *** 27 ** 53 *** 00 00-22 25 03 51 *** 39 42 05 0. 116 *** - 18-0. 141 *** - 07-33 - 60-43 00-48 - 0. 144 *** 49-12 - 28-53 - 05 30 0. 114 32 * 11 10 07-0. 104 ** - 46 00 89 * 66 09 22-54 0. 128 * 74 22-30 96 ** - 48 10 25 1 2 3 4 7-66 - 0. 237 *** - 31-76 - 77-89 - 16-76 0. 183 0. 476 * 29 0. 225 00-13 16 18-14 - 58 12-90 07-39 *** 00-21 ** 10 50 *** 14 * 00-06 *** - 03 ** 01-06 *** 15 *** - 03 01-01 0. 971 *** 0. 272 *** 0. 991 *** 0. 972 *** R 2 34 31 02 15 F 5. 763 *** 5. 315 *** 0. 736 3. 050 *** 3660 * ***** 10% 5% 1% 90 40

100% 3. 36% 7 1 2 3 4 11-26 85 *** 80 *** 40 57 0. 162 ** 0. 202 *** - 0. 217 *** - 0. 201 ** - 62-0. 151 * 0. 184 ** 0. 152 * - 11 87 67 * 61-79 - 60 0. 117 44 0. 175 0. 195 0. 173 * 82-0. 428 ** - 0. 409 ** - 0. 300 * - 0. 257 0. 998 * 0. 913 * - 97 22-53 - 0. 150-52 *** - 54 *** 81 *** 75 ** - 19 *** - 15 *** 12 *** 12 *** 2. 751 *** 2. 852 *** 3. 175 *** 2. 682 *** 3. 207 *** R 2 10 04 04 18 28 F 8. 480 *** 2. 619 ** 3. 378 *** 17. 843 *** 4. 941 *** 3660 * ***** 10% 5% 1% 5% 10% 41

2014 2 10% 4 1730 1220 31. 7% 4 2010 3660 42

. J. 2002 4 8-15.. J. 2004 3 34-38.. J. 2007 8 57-60.. J. 2005 7 115-118.. J. 2004 3 36-46.. J. 2004 3 91-98.. J. 2004 9 12-18.. J. 2012 5 33-37.. J. 2003 4 51-56.. J. 2006 11 5-14.. J. 2011 9 8-25.. J. 2007 89-93.. J. 2010 82-95.. J. 2006 3 87-94.. J. 2002 8 22-24.. J. 2003 5 61-64.. J. 2004 19-22.. J. 2004 2 59-63.. J. 2004 2 22-25.. J. 2004 3 42-45.. J. 2005 2 73-76.. 2013 4 57-66.. J. 2013 12 31-35.. J. 2011 10 60-62.. J. 1995 90-95.. J. 2006 5 73-80.. J. 2008 1 3-23.. J. 2010 5 27-36. 43