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Dances with Chinese data: are the reform period Chinese provincial panel data reliable?

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  • He, Qichun

Abstract

There is a debate over the reliability of the Chinese data (e.g., Young, 2003; Holz, 2003, 2006). In this paper we test the Chinese provincial panel data for the period 1978-2002 against the predictions from the technology diffusion model. We find that the estimated coefficient on initial real GDP per worker is negative and significant, showing strong evidence of conditional convergence; the estimated coefficients on secondary school human capital investment rate and labor force growth are positive and negative respectively, significant at the 5% level, in both LSDV (Least squares dummy variables) estimation and system GMM (Generalized method of moments) estimation that overcomes the endogeneity of these variables. The test accepts that the estimate coefficients on physical capital and human capital investment rates are equal, with absolute magnitudes about half of that on labor force growth in LSDV estimation. The estimated coefficient on the FDI to GDP ratio that captures technology diffusion is insignificant in LSDV estimation but becomes significant in system GMM estimation. All these are consistent with the technology diffusion model (and the augmented Solow model). Therefore, the reform period Chinese provincial panel data may be reliable for growth regressions.

Suggested Citation

  • He, Qichun, 2011. "Dances with Chinese data: are the reform period Chinese provincial panel data reliable?," MPRA Paper 35418, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:35418
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    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Melvyn Weeks & James Yudong Yao, 2003. "Provincial Conditional Income Convergence in China, 1953-1997: A Panel Data Approach," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 59-77, February.
    3. Narayan, Paresh Kumar & Nielsen, Ingrid & Smyth, Russell, 2008. "Panel data, cointegration, causality and Wagner's law: Empirical evidence from Chinese provinces," China Economic Review, Elsevier, vol. 19(2), pages 297-307, June.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Wolfgang Keller & Stephen R. Yeaple, 2009. "Multinational Enterprises, International Trade, and Productivity Growth: Firm-Level Evidence from the United States," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 821-831, November.
    6. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, Oxford University Press, vol. 106(2), pages 407-443.
    7. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    8. Yudon, Y. & Weeks, M., 2000. "Provincial Income Convergence in China, 1953-1997: a Panel Data Approach," Cambridge Working Papers in Economics 0010, Faculty of Economics, University of Cambridge.
    9. Zhang, Tao & Zou, Heng-fu, 1998. "Fiscal decentralization, public spending, and economic growth in China," Journal of Public Economics, Elsevier, vol. 67(2), pages 221-240, February.
    10. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
    11. Ronald Findlay, 1978. "Relative Backwardness, Direct Foreign Investment, and the Transfer of Technology: A Simple Dynamic Model," The Quarterly Journal of Economics, Oxford University Press, vol. 92(1), pages 1-16.
    12. Borensztein, E. & De Gregorio, J. & Lee, J-W., 1998. "How does foreign direct investment affect economic growth?1," Journal of International Economics, Elsevier, vol. 45(1), pages 115-135, June.
    13. Demurger, Sylvie, 2001. "Infrastructure Development and Economic Growth: An Explanation for Regional Disparities in China?," Journal of Comparative Economics, Elsevier, vol. 29(1), pages 95-117, March.
    14. Harrison, Ann E. & McMillan, Margaret S., 2003. "Does direct foreign investment affect domestic credit constraints?," Journal of International Economics, Elsevier, vol. 61(1), pages 73-100, October.
    15. Gregory C. Chow, 1993. "Capital Formation and Economic Growth in China," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 809-842.
    16. Alwyn Young, 2003. "Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1220-1261, December.
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    More about this item

    Keywords

    Technology Diffusion; Convergence Equation; Panel Data; System GMM (Generelized method of moments);
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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