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Income Inequality, State Ownership, and the Pattern of Economic Growth – A Tale of the Kuznets Curve for China since 1978

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Abstract

The lack of supposed trickle-down benefits for industrialization to reduce income inequality during China’s 30 years of post-reform economic growth appears to constitute an anomaly for the inverted U-shaped Kuznets curve hypothesis. Using an alternative inequality measure that depends on factor share and ownership, we show that in a transition economy with the state weight of capital less than its market counterpart, enhanced state ownership exacerbates inequality. Econometric evidence suggests that although the government attempts to balance the three goals of growth, equality, and state ownership in the short run, stubborn state ownership as well as lopsided growth patterns jeopardize equality in the long run and have therefore delayed the turning point in the inverted U-shaped Kuznets curve for China.

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Notes

  1. See Katz and Autor (1999) for a survey.

  2. For the historical experience of the Asian NIEs in this regard, see the World Bank (1993), Chapter 1.

  3. See Berggren (1999) for a theoretical analysis, and Bennett and Vedder (2013) for the empirical evidence from the 50 U.S. states.

  4. For convenience, we assume that one unit of output generates one unit of utility, but one unit of deviation from the inequality target generates γ unit of disutility, whereas one unit of deviation from the non-state ownership target generates δ unit of disutility.

  5. The average ratio of state-owned capital to total capital nationwide is 44.29 % (lower than ½), with 37.08 % for the primary sector, 47.25 % for the secondary sector, and 52 % for the tertiary sector (Yi 2010).

  6. According to Zhang et al. (2012), in 2007, the secondary sector and tertiary sector combined had 98 % in capital investment, 98.6 % in export, 83 % in import; particularly, for the secondary sector only, its shares in investment, export, and import are 89.5, 64.5, and 57.8 %, respectively.

  7. This result echoes the findings in Li and Coxhead (2011).

  8. Suppose that K 0 s and K 0 n are the given initial value of state-owned capital stock and non-state-owned capital stock, respectively (K 0 s  + K 0 n  = K 0); and I s and I n are current state investment and non-state investment, respectively (I s  + I n  = I). Note that an increase in \( \frac{I_s}{\ {I}_n} \) is sufficient for an increase in \( \frac{I_s}{I} \); hence, we just need to examine variations in \( \frac{I_s}{\ {I}_n}\ . \) We can express \( \frac{K_s}{K} \) as \( \frac{K_s^0+{I}_s}{K^0+{I}_s+{I}_n} \), which can be further rewritten as \( \frac{\frac{K_s^0}{I_n}+\frac{I_s}{I_n}}{\frac{K^0}{I_n}+1+\frac{I_s}{I_n}} \) . Then, we differentiate the last expression with respect to \( \frac{\ {I}_s}{\ {I}_n} \), and we get \( \frac{\partial \left(\frac{K_s}{K}\right)}{\partial \left(\frac{I_s}{I_n}\right)}=\frac{\frac{K^0}{I_n}+1-\frac{K_s^0}{I_n}}{{\left(\frac{K^0}{I_n}+1+\frac{I_s}{I_n}\right)}^2} \) > 0 since K 0 is greater than K 0 s .

  9. The data for GINI are from Chen et al. (2010) and China’s National Bureau of Statistics. With the authors’ calculations, NX_RATIO is based on the China Macro Databank, Federal Reserve Economic Database, and China’s State Administration for Foreign Exchange. Other variables are based on China’s Statistical Yearbook.

  10. Due to space constraints, the unit root tests are not reported but available from the authors upon request.

  11. The finding that state-ownership deteriorates inequality is different from Song et al. (2011) and Zhang et al. (2012) but consistent with Chow (2006).

  12. According to the Granger representation theorem, if the investigated series are cointegrated, then the cointegration relationship among them can be expressed as an error correction mechanism. See Enders (1995) for illustrations of the theorem.

  13. The endogeneity of SOI_RATIO can also be examined from the forecast error variance decomposition. Even in the first year, the movement in SOI_RATIO due to its own shocks accounts for only as much as 65 %, leaving about 16 % to shocks to NX_RATIO and nearly 19 % to shocks to INV_RATIO. The explanatory power of capital investment for SOI_RATIO rapidly increases to around 50 % after the forecast horizons extend beyond the fifth year, whereas the explanatory power of net export for the movement in SOI_RATIO undergoes an increase to around 30 % in the third year before it settles at a little above 20 % when the forecast horizons reach to the tenth year. More detailed results are available from the authors upon request.

  14. This point is well consistent with Li and Coxhead (2011).

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Acknowledgments

The earlier version of this paper was presented at the 76th International Atlantic Economic Conference held in Philadelphia, October 11–13, 2013. The authors thank Sibabrata Das, Partha Ray, Lawrence Gomes, the managing editor of Atlantic Economic Journal and anonymous referees for very helpful comments and suggestions, and also gratefully acknowledge research support from Franklin P. Perdue School of Business at Salisbury University. The authors are responsible for the views expressed in the article.

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Correspondence to Ying Wu.

Appendix

Appendix

Relationship between Inequality and State Ownership

In (6), taking derivative of Y n /Y with respect to K s /K yields

$$ \frac{\partial \left({Y}_n/Y\right)}{\partial \left({K}_s/K\right)}=\frac{\delta \left(2\frac{K_s}{K}-1\right)}{2\alpha \gamma \sqrt{\frac{\delta }{\alpha \gamma }{\left(\frac{K_s}{K}\right)}^2-\frac{\delta }{\alpha \gamma}\left(\frac{K_s}{K}\right)+\frac{Y}{\alpha {\gamma}^2}+\frac{1}{4}}}\ge \le 0,\ as\kern0.5em \frac{K_s}{K}\ge \le \frac{1}{2} $$
(A1)

To verify the result, consider the case in which \( {K}_s=\frac{1}{2}K-\upkappa \) and \( {K}_n=\frac{1}{2}K+\upkappa \) (κ > 0) so that (K s /K) < 1/2. Using the production function definition for Y n and Y s given in the second section, we can express (Y n /Y) as

$$ \frac{Y_n}{Y}=\frac{1}{1+\frac{A_s{\left(\frac{1}{2}K-\kappa \right)}^{\alpha }{\left({L}_s\right)}^{1-\alpha }}{A_n{\left(\frac{1}{2}K+\kappa \right)}^{\beta }{\left({L}_n\right)}^{1-\beta }}} $$
(A2)

In (A2), differentiating (Y n /Y) with respect to κ can generate the equivalent result as (A1) when (K s /K) < 1/2:

$$ \frac{\partial \left({Y}_n/Y\right)}{\partial \kappa }=\frac{\left(\frac{A_s{\left(\frac{1}{2}K-\kappa \right)}^{\alpha }{\left({L}_S\right)}^{1-\alpha }}{A_n{\left(\frac{1}{2}K+\kappa \right)}^{\beta }{\left({L}_n\right)}^{1-\beta }}\right)\left(\frac{\alpha }{\frac{1}{2}K-\kappa }+\frac{\beta }{\frac{1}{2}K+\kappa}\right)}{{\left[1+\frac{A_S{\left(\frac{1}{2}K-\kappa \right)}^{\alpha }{\left({L}_S\right)}^{1-\alpha }}{A_n{\left(\frac{1}{2}K+\kappa \right)}^{\beta }{\left({L}_n\right)}^{1-\beta }}\right]}^2}>0 $$
(A3)

Similarly, for the case of (K s /K) > 1/2, we consider \( {K}_s=\frac{1}{2}K+\upkappa \) and \( {K}_n=\frac{1}{2}K-\upkappa \) (κ > 0), then we can show that

$$ \frac{\partial \left({Y}_n/Y\right)}{\partial \kappa }=-\frac{\left(\frac{A_s{\left(\frac{1}{2}K+\kappa \right)}^{\alpha }{\left({L}_S\right)}^{1-\alpha }}{A_n{\left(\frac{1}{2}K-\kappa \right)}^{\beta }{\left({L}_n\right)}^{1-\beta }}\right)\left(\frac{\alpha }{\frac{1}{2}K+\kappa }+\frac{\beta }{\frac{1}{2}K-\kappa}\right)}{{\left[1+\frac{A_S{\left(\frac{1}{2}K+\kappa \right)}^{\alpha }{\left({L}_S\right)}^{1-\alpha }}{A_n{\left(\frac{1}{2}K-\kappa \right)}^{\beta }{\left({L}_n\right)}^{1-\beta }}\right]}^2}<0 $$
(A4)

We have therefore shown that inequality tends to increase as state ownership in capital expands if and only if the ratio of state-owned capital to total capital is less than one half.

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Wu, Y., Yao, H. Income Inequality, State Ownership, and the Pattern of Economic Growth – A Tale of the Kuznets Curve for China since 1978. Atl Econ J 43, 165–180 (2015). https://doi.org/10.1007/s11293-015-9451-9

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