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

Author

Listed:
  • Kerk L. Phillips

    (Brigham Young University)

  • Shen Kunrong

    (Nanjing University)

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.

Suggested Citation

  • Kerk L. Phillips & Shen Kunrong, 2003. "What Effect does the Size of the State-Owned Sector Have on Regional Growth in China?," Development and Comp Systems 0304006, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpdc:0304006
    Note: Type of Document - PDF; pages: 21; figures: included/request from author/draw your own
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    References listed on IDEAS

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    Cited by:

    1. Chun‐Yu Ho & Dan Li, 2010. "Spatial Dependence and Divergence across Chinese Cities," Review of Development Economics, Wiley Blackwell, vol. 14(2), pages 386-403, May.
    2. Phillips, Kerk L. & Chen, Baizhu, 2011. "Regional growth in China: An empirical investigation using multiple imputation and province-level panel data," Research in Economics, Elsevier, vol. 65(3), pages 243-253, September.
    3. 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.
    4. Hao Qi & David M. Kotz, 2020. "The Impact of State-Owned Enterprises on China’s Economic Growth," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(1), pages 96-114, March.
    5. Liu, Yongzheng & Alm, James, 2016. "“Province-Managing-County” fiscal reform, land expansion, and urban growth in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 82-100.
    6. Furong Jin & Keun Lee & Yee‐Kyoung Kim, 2008. "Changing Engines of Growth in China: From Exports, FDI and Marketization to Innovation and Exports," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 16(2), pages 31-49, March.
    7. Liang Zheng, 2021. "The impact of state-owned enterprises on the employment growth of manufacturing in Chinese cities: Evidence from economic census microdata," Urban Studies, Urban Studies Journal Limited, vol. 58(8), pages 1655-1673, June.
    8. Canfei He & Fenghua Pan, 2010. "Economic Transition, Dynamic Externalities and City-industry Growth in China," Urban Studies, Urban Studies Journal Limited, vol. 47(1), pages 121-144, January.
    9. Hao, Rubin & Liao, Guanmin & Ding, Wenhong & Guan, Wei, 2022. "The informativeness of regional GDP announcements: Evidence from China," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 78-99.

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    More about this item

    Keywords

    growth regressions; China; State-Owned Enterprises;
    All these keywords.

    JEL classification:

    • H1 - Public Economics - - Structure and Scope of Government
    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General

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