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Changes in income inequality in China in the past three decades Li Shi Beijing Normal University Two topics: 1. Some features of changes in income inequality in China. 2. How to explain rising income inequalities? 1. Some features of


  1. Changes in income inequality in China in the past three decades Li Shi Beijing Normal University

  2.  Two topics:  1. Some features of changes in income inequality in China.  2. How to explain rising income inequalities?

  3. 1. Some features of Changes in income inequality in China  Increasing inequality in all the aspects  1. Urban areas:  Gini 0.15 (1981) 0.36(2007)  D t /D b 4.4 (1988) 12 (2007)

  4. Urban Gini 0.4 0.35 0.3 0.25 0.2 0.15 0.1

  5. Simulated urban Gini

  6.  2. Rural areas:  Gini 0.23 (1978) 0.38 (2007)  D t /D b 8.6 (1988) 11.2 (2002)

  7. Rural Gini 0.45 0.4 0.35 0.3 0.25 0.2 0.15 0.1

  8.  3. Entire China  Gini 0.38 (1988) 0.48 (2007)  D t /D b 7.3 (1988) 23.3 (2007)

  9. Changes in Gini coefficients in China as a whole, 1986-2007 0.48 0.46 0.44 0.42 0.4 0.38 0.36 0.34 0.32 0.3 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

  10. Table 1: National mean income and inequality, 2002 and 2007 % change, 2002 to 2007, constant 2002 2007 2002 prices Excluding Including Excluding Including Excluding Including migrants migrants migrants migrants migrants migrants NBS income, two-level weights Mean income 4426 4479 8653 8899 71.65 74.44 Gini 0.452 0.450 0.474 0.473 4.9% 5.1% GE(0)/MLD 0.359 0.357 0.403 0.403 12.3% 12.9% GE(1) 0.351 0.348 0.385 0.381 9.7% 9.5% NBS income, three-level weights Mean income 4467 4530 8932 9165 75.55 77.63 Gini 0.456 0.455 0.481 0.478 5.5% 5.1% GE(0)/MLD 0.362 0.361 0.414 0.413 14.4% 14.4% GE(1) 0.360 0.356 0.398 0.392 10.6% 10.1% CHIP income, two-level weights Mean income 4921 4964 10210 10413 82.16 84.17 Gini 0.462 0.460 0.489 0.485 5.8% 5.4% GE(0)/MLD 0.373 0.371 0.432 0.427 15.8% 15.1% GE(1) 0.366 0.362 0.411 0.404 12.3% 11.6% CHIP income, three-level weights Mean income 4966 5019 10584 10772 87.12 88.43 Gini 0.466 0.464 0.497 0.492 6.7% 6.0% GE(0)/MLD 0.378 0.375 0.445 0.439 17.7% 17.1% GE(1) 0.376 0.371 0.425 0.416 13.0% 12.1%

  11. Table 3: Inequality estimates without and with PPP adjustment, 2002 and 2007 % change, 2002 to 2002 2007 2007 Without With Without With Without With PPP PPP PPP PPP PPP PPP NBS income Gini 0.455 0.389 0.478 0.421 5.1% 8.2% GE(0)/MLD 0.361 0.265 0.413 0.315 14.4% 18.9% GE(1) 0.356 0.258 0.392 0.302 10.1% 17.1% CHIP income Gini 0.464 0.395 0.492 0.433 6.0% 9.6% GE(0)/MLD 0.375 0.271 0.439 0.333 17.1% 22.9% GE(1) 0.371 0.264 0.416 0.320 12.1% 21.2%

  12. Table 8: Urban inequality with and without migrants, 2002 and 2007 2002 2007 Without With Without With Gini 0.327 0.329 0.337 0.334 GE(0)/MLD 0.179 0.182 0.190 0.187 GE(1) 0.182 0.184 0.197 0.194

  13. 2. How to explain rising income inequalities?  (1) Significant differences between urban and rural areas.  (2) Uncompleted market reform: regional immobility and monopoly.  (3) Rising returns to education.  (4) Corruption

  14. (1) Significant differences between urban and rural areas  Significant differences between urban and rural areas in terms of income, social security, public services, reflecting government policies and political institutions discriminating against rural people.

  15. Income gap between rural and urban households  1 、 Income ratio of urban and rural households  2 、 Importance of urban-rural income gap in total inequality in China

  16. Income ratio of urban and rural households urban household income/rural household income 1.5 2.5 3.5 1 1 2 3 9 7 8 1 9 7 9 1 9 8 0 1 9 8 1 1 9 8 2 1 9 8 3 1 9 8 4 1 9 8 5 1 9 8 6 1 9 8 7 1 9 8 8 1 9 8 9 1 9 9 0 1 9 9 1 1 9 9 2 1 9 9 3 1 9 9 4 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 2 0 0 6 2 0 0 7 Year nominal real

  17.  Theil decomposition: Share of urban-rural inequality increased from 38% in 1995 to 43% in 2002, in national inequality.  Decomposition based on regression analysis: 37% of national inequality is due to urban- rural inequality.

  18. Importance of urban-rural income gap in total inequality in China Theil decomposition: : 1988 : 37% , 1995 : 41% , 2002 : 46%, 2007: 51% 。 Decomposition based on regression analysis : 2002 : 37%.

  19. (2) Uncompleted market reform: regional disparity Fig. 3 Cofficient of variation of household income per capita among provinces 0.31 0.29 0.27 0.25 CV 0.23 0.21 0.19 0.17 0.15 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 year

  20.  Decomposition based on regression analysis: Provincial dummies explain 10-12 percentage points for urban China in 2002.

  21. Table 11: Regional income gaps, 2002 and 2007 PPP unadjusted 2002 2007 migra migra Region urban rural nt all urban rural nt all Big cities 2.10 2.68 1.39 3.74 2.07 3.33 1.39 3.54 East 1.40 1.98 1.36 1.88 1.62 1.82 1.23 2.02 Center 0.92 1.22 0.88 1.10 1.05 1.21 0.85 1.17 West 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 PPP adjusted 2002 2007 migra migra Region urban rural nt all urban rural nt all Big cities 1.42 1.70 0.95 2.34 1.54 2.23 1.04 2.44 East 1.14 1.99 1.02 1.65 1.39 1.77 1.00 1.74 Center 0.90 1.29 0.87 1.12 1.04 1.21 0.84 1.16 West 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

  22. Table 13: Gini coefficients by region, 2002 and 2007 PPP unadjusted 2002 2007 Big cities 0.314 0.320 East 0.426 0.465 Center 0.404 0.443 West 0.462 0.485 PPP adjusted 2002 2007 Big cities 0.304 0.312 East 0.357 0.412 Center 0.352 0.396 West 0.428 0.444

  23. Wage differentials between monopolistic and competitive sectors 2.5 2.3 2.1 Manufactur 1.9 ing 1.7 Public utilities 1.5 IT, 1.3 Computer 1.1 finance 0.9 Public 0.7 administra 0.5 tion 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

  24.  3.Oxacca decomposition analysis :  1995 : Monopoly/competitive sector : total difference : 10%, segmentation: 9%  2002 : Monopoly/competitive sector : total difference : 48%, segmentation: 59%

  25. (3) Education plays more important role in income determination  1 、 Significant rise in returns to education  2 、 Decomposition based on regression analysis: education explain 3.8% in 1988, 6.7% in 1995 and15.6% in 2002, of the inequality in urban China.

  26. Fig 4 Rate of private returns to education Fig 4 Rate of private returns to education in urban China (%) in urban China (%) 9.00 8.00 7.00 6.00 5.00 % 4.00 3.00 2.00 1.00 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2001 2002 year

  27. Figure 4. Rates of returns to education by level, 1990—1999 200 180 (%) 160 140 120 100 80 60 40 20 0 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 year 大学及以上 大专 中专、中技和职高 高中 初中

  28. (4) Corruption and income inequality  ??????????

  29. Introduction to CHIP data  Four national household surveys conducted in  1988 , 1995 , 2002 , 2007-2010

  30. CHIPs sample size 1988 1995 2002 2007-2010 rural urban rural urban rural urban rural urban Households 10258 9009 7998 6931 9200 6835 8000 10000 Individuals 51352 31827 34739 21694 37969 20632 33678 28000 Provinces 28 10 19 11 22 12 8 8 126 60 110 66 120 56 80 18 Cities/counti es

  31.  The Distribution of income in China /edited by Keith B Griffin, Renwei Zhao (1993) Palgrave Macmillan Publishing  China's retreat from equality. Income distribution and economic transition.  Carl Riskin, Zhao Renwei et Li Shi eds., New York et Londres, M.E. Sharpe, 2001  Inequality and public policy in China / edited by Björn A. Gustafsson, Li Shi, Terry Sicular (2008)  Cambridge University Press, Cambridge.  Rising income inequality in China / edited by Li Shi, Hiroshi Sato, Terry Sicular (2013)  Cambridge University Press, Cambridge.

  32.  Thanks

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