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What Effect does the Size of the State-Owned Sector Have on Regional Growth in China?

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Author Info
Kerk L. Phillips (Brigham Young University)
Shen Kunrong (Nanjing University)

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Abstract

This abstract will be reformatted upon submission. You don't need to format for line-breaks here!!!!! This paper tests the contributions of the size of state-owned enterprises as a determinant of China’s economic growth. The methodology is discussed in papers by Levine and Renelt (1992) and Sala-i-Martin (1997). We estimate regressions with growth of output and total factor productivity as the dependent variable and a variety of other factors, including measures of the size of the state-run sector, as regressors. We find that controlling for a variety of other factors, the greater the importance of state owned enterprises, as measured by the proportion of total industrial production they produce, the lower the provincial growth rate. The average estimate is that a decrease in the SOE share of industrial production by ten percentage points increases real GDP growth the following year by 1.14%. The average impacts of a reduction in the SOE share in employment are smaller in absolute magnitude and different for large provinces than they are for small ones. Large provinces actually have higher growth rates if this share rises, while smaller provinces have higher growth rates when it falls.

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Paper provided by EconWPA in its series Development and Comp Systems with number 0304006.

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Length: 21 pages
Date of creation: 16 Apr 2003
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Handle: RePEc:wpa:wuwpdc:0304006

Note: Type of Document - PDF; pages: 21; figures: included/request from author/draw your own
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Web page: http://129.3.20.41

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Related research
Keywords: growth regressions; China; State-Owned Enterprises;

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Find related papers by JEL classification:
H1 - Public Economics - - Structure and Scope of Government
O0 - Economic Development, Technological Change, and Growth - - General

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Johnson, Paul A., 2000. "A nonparametric analysis of income convergence across the US states," Economics Letters, Elsevier, vol. 69(2), pages 219-223, November. [Downloadable!] (restricted)
    Other versions:
  2. Paul Cashin & Ratna Sahay, 1995. "Internal Migration, Center-State Grants and Economic Growth in the States of India," IMF Working Papers 95/66, International Monetary Fund.
  3. Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-13, June.
  4. Quah, Danny T., 1996. "Empirics for economic growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1353-1375, June. [Downloadable!] (restricted)
  5. Sala-i-Martin, Xavier, 1997. "I Just Ran Two Million Regressions," American Economic Review, American Economic Association, vol. 87(2), pages 178-83, May. [Downloadable!] (restricted)
  6. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-63, September. [Downloadable!] (restricted)
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  7. Liu, Tung & Li, Kui-Wai, 2001. "Impact of liberalization of financial resources in China's economic growth: evidence from provinces," Journal of Asian Economics, Elsevier, vol. 12(2), pages 245-262. [Downloadable!] (restricted)
  8. Serge Coulombe, 2000. "New Evidence of Convergence Across Canadian Provinces: The Role of Urbanization," Regional Studies, Taylor and Francis Journals, vol. 34(8), pages 713-725, November. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Catin, Maurice & Luo, Xubei & Van Huffel, Christophe, 2005. "Openness, industrialization, and geographic concentration of activities in China," Policy Research Working Paper Series 3706, The World Bank. [Downloadable!]
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