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Foreign direct investment and wage inequality in host country

ZHOU Yunbo1 CHEN Cen1 TIAN Liu1

(1.Collaborative Innovation Center for China Economy,Nankai Institute of Economics, Center for Studies of Political Economy of Nankai University 300071)

【Abstract】Based on the theoretical analysis of the effects of foreign direct investment (FDI) on wage inequality, the paper calculates contributions of relevant factors, particularly FDI, to wage inequality in enterprise-level by using the regression based decomposition approach (Shapley value). Theoretical analysis shows that the wage gap between foreign and local firms which caused by FDI through labor transfer and technology spillover effects presents an inverted U-shaped feature. Empirical analysis shows FDI has great influence on China’s wage inequality which contributed over 10 percent to the wage gap, however,there is a sharp decline in the overall trend. The chief reason is that the wage gap between foreign and local firms which caused by FDI through labor transfer and technology spillover has entered the downward stage. Thus, in order to reduce the wage gap between enterprises, longstanding market-access barriers in China should be dismantled to attract more companies with high technological levels.

【Keywords】 FDI; wage inequality; Theil index; Shapley value decomposition; FDI; Wage Inequality; Theil Index; Sharply Value Decomposition;

【DOI】

【Funds】 The phased achievement of the New Century Excellent Talent Program of Ministry of Education (No.:NCET—13—0311); and the phased achievement of the major program of the Humanities and Social Science Research Base of Ministry of Education (12JJD790050) The phased achievement of the major subject cultivation program under the special fund programs for basic scientific research operations of Nankai University (NKZXZD1404)

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    Footnote

    [1]. ① According to the regulations of the National Bureau of Statistics, Foreign Direct Investment (FDI) discussed in this paper includes three forms, namely, exclusively foreign-funded enterprises, Sino-foreign cooperative venture, and Sino-foreign joint venture. [^Back]

    [2]. ① The data from the National Bureau of Statistics show that the wage income in 2013 accounted for 56.9% of the per capita disposable income of China’s residents. [^Back]

    [3]. ② According to Rozelle (2012), the Gini coefficient of the residents’ income in the countries caught in the “middle income trap” after the World War II is about 0.47 on the average. The data from the National Bureau of Statistics show that in 2008, China’s income gap reached its peak, the Gini coefficient of the residents' income was 0.491, and after that the figure went down to 0.469 in 2014. [^Back]

    [4]. ① The Gini coefficient or variation coefficient is generally adopted to measure China’s income gap. However, the Gini coefficient focuses on measuring the overall income gap and has the disadvantages of uncertainty, one-sidedness, and incomparability while variation coefficient focuses on the differences between the average level of the subgroups and the overall income level. The advantage of the Theil index is that it can better measure the differences between the groups. [^Back]

    [5]. ① Assume f(w)=wlnw-w+1, f'_w=lnw>0, f(1)=0, so f(w)>0; assume g(w)=1-w+lnw, g'_w=1/w-1<0, g(1)=0, so g(w)<0, namely, w(1-w+lnw)<0, then η*<1. [^Back]

    [6]. ② Assume h(w)=3w-2lnw-3, then h(1)=0, h'_w(w)=3-2/w>0, so h(w)>0, namely η**-η*>0。 [^Back]

    [7]. ① Given the specific η, the fitted value of A_0 can be obtained. [^Back]

    [8]. ① According to the enterprise registration type of Chinese Industrial Enterprises Database, the foreign-funded enterprises mentioned in this paper mainly includes: Sino-foreign joint venture, Sino-foreign cooperative venture, exclusively foreign-funded enterprises, joint stock company with foreign investment, and Hong Kong-, Macao-, and Taiwan-invested enterprises. [^Back]

    [9]. ② According to Ding (2010), we have categorized the following into the monopolistic industry: petroleum and natural gas mining, petroleum processing, coking and nuclear fuel processing, coal mining and washing, nonferrous metal and ores selection, tobacco products, electric power, thermal production and supply, gas production and supply, and water production and supply. [^Back]

    [10]. ① We delete the samples as follows. The observation value of some important indices are missing and does not meet the “above-scale” standard and comply with the accounting principle and the extreme value of key indices. [^Back]

    [11]. ② As the data of the out-of-factory price indices of some industrial products are missing, we have substituted the indices of other mining industries, agricultural and sideline food processing industry, printing industry, the copying of the recorded media, universal equipment manufacturing industry, waste resources and waste materials recycling and processing industry with the same-period indices of the nonferrous metal picking industry, food manufacturing industry, paper making and paper products industry, special equipment manufacturing industry, art work and other manufacturing industries. [^Back]

    [12]. ③ We conduct matching and identifying over the enterprises based on the method of Brandt (2012). [^Back]

    [13]. ④ Due to space limitations, the results of the multicollinearity test are not listed in this paper. Readers who are interested in it can ask the author for the information. [^Back]

    References

    Bao, Q. & Shao, M. Management World (管理世界), (5) (2008).

    Chen, Z., Wan, G. & Lu, M. Social Sciences in China (中国社会科学), (3) (2010).

    Chen, Z. Income Distribution in Economic Development (经济发展中的收入分配). Shanghai: Shanghai People’s Publishing House and Shanghai Sanlian Bookstore, (1991).

    Chen, Z. Social Sciences in China (中国社会科学), (5) (2002).

    Chen, Z. & Zhou, Y. Again on the Income Distribution in the Reform and Development (再论改革与发展中的收入分配). Beijing: Economic Science Press, (2002).

    Liu, T. Contemporary Economic Science (当代经济科学), (1) (2013).

    Nie, H., Jiang, T. & Yang, R. The Journal of World Economy (世界经济), (5) (2012).

    Yuan, P., Xu, H. & Ai, H., Management World (管理世界), (4) (2008).

    Qiu, L. & Wang, Z. Economic Review (经济评论), (5) (2006).

    Shao, M. & Bao, Q. Statistical Research (统计研究), (4) (2010).

    Wan, G. Economic ResearchJournal (经济研究), (8) (2004);

    Wan, G.Economic Development and Income Inequality Method and Proof (经济发展与收入不均等方法和证据). Shanghai: Shanghai, Sanlian Bookstore, (2006).

    Wan, G. China Economic Quarterly (经济学(季刊)), (1) (2008).

    Wang, Y. World Economy Studies (世界经济研究), (2) (2009).

    Xu, H., Yuan, P. & Li, H. Management World (管理世界), (9) (2009).

    Ye, L., Li, S. & Luo, C. Journal of Finance and Economics (财经研究), (3) (2011).

    Acemoglu, D., 1998, “Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality”, Quarterly Journal of Economics, Vol. 113(8), 1055–1089.

    Barry, F. H., Goerg, H., and Strobl, E., 2005, “Foreign Direct Investment and Wages in Domestic Firms in Ireland: Productivity Spillovers versus Labour-Market Crowding Out”, International Journal of the Economics of Business, Vol. 12(2), 67–84.

    Brandt, L., Biesebroeck, J., and Zhang, Y., 2012, “Creative Accounting or Creative Destruction? Firm-level Productivity Growth in Chinese Manufacturing”, Journal of Development Economics, Vol. 97(2), 339–351.

    Brown, D., Deardorff, A., and Stern, R., 2003, “The Effects of Multinational Production on Wages and Working Conditions in Developing Countries”, NBER Working Paper, No. 9669.

    Chen. Z., Ge, Y., and Lai, H., 2011. “Foreign Direct Investment and Wage Inequality: Evidence from China”, World Development, Vol. 39(8), 1322–1332.

    Driffield, N., and Taylor, K., 2006, “Wage Spillovers, Inter-regional Effects and the Impact of Inward Investment", Spatial Economic Analysis, Vol. 1(2), 187–205.

    Feenstra. R. C., and Hanson, G.H., 1997, “Foreign Direct Investment and Relative Wages; Evidence from Mexico’s Maquilladoras”, Journal of International Economics, Vol. 42 (3), 371–393.

    Figini, P., and Gorg. H., 1999, “Multinational Companies and Wage Inequality in the Host Country: The Case of Ireland”, Review of World Economics, Vol. 135(4), 594–612.

    Graham, E., 2000, Fighting the Wrong Enemy: Anti-global Activists and Multinational Enterprises, Washington D.C; Peterson Institute for International Economics.

    Lipsey. R. E., and Sjoholm. F., 2004, “Foreign Direct Investment, Education and Wages in Indonesian Manufacturing”, Journal of Development, Vol. 73(1), 415–422.

    Markusen. J. R., and Venables. A. J., 1997, “The Role of Multinational Firms in the Wage-Gap Debate”, Review of International Economics, Vol. 5(4), 435–451.

    Saggi. K., 2002, “Trade, Foreign Direct Investment, and International Technology Transfer; A Survey”, World Bank Research Observer, Vol. 17(2), 191–235.

    Saglam. B. B.. and Sayek, S., 2011, “MNEs and Wages; The Role of Productivity Spillovers and Imperfect Labor Markets”. Economic Modelling, Vol. 28(6), 2736–2742.

    Shorrocks. A.. and Wan. G., 2005, “A Method for Generating Income Data from Lorenz Coordinates”, unpublished manscript, UNUWIDER.

    Shorrocks. A., and Wan. G., 2005.“Spatial Decomposition of Inequality” Journal of Economic Geography, Vol. 5(1), 59–81.

    Wu, X., 2001, “The Impact of Foreign Direct Investment on the Relative Return to Skill”, Economics of Transition, Vol. 9(3), 695–715.

This Article

ISSN:0577-9154

CN:11-1081/F

Vol 50, No. 12, Pages 128-142

December 2015

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Article Outline

Abstract

  • 1 Introduction
  • 2 Literature review
  • 3 Theoretical model
  • 4 Data and empirical analysis
  • 5 Regression and decomposition results
  • 6 Conclusion and policy enlightenment
  • Footnote

    References