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Endogenous innovation growth theory and regional income convergence in China

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Author Info

  • Yingqi Wei

    (Department of Economics, University of Lancaster, Lancaster, UK)

  • Xiaming Liu

    (Aston Business School, Aston University, Birmingham, UK)

  • Haiyan Song

    (Department of Management Studies, University of Surrey, Guildford, UK)

  • Peter Romilly

    (School of Social and Health Sciences, University of Abertay Dundee, Dundee, UK)

Abstract

Endogenous innovation growth theory is tested by using panel data for 27 provinces across China. R&D expenditure and openness are added to the standard convergence regressions to control for different structural characteristics in each province. A standardized 't-bar' test for unit roots is applied to examine the properties of the data and identify a long-run relationship among the variables. By allowing for differences in the aggregate production function across regions, we find evidence of convergence. The empirical results support the endogenous innovation growth model in which regional per capita income can converge given technological diffusion, transfer and imitation. Copyright © 2001 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jid.721
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of International Development.

Volume (Year): 13 (2001)
Issue (Month): 2 ()
Pages: 153-168

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Handle: RePEc:wly:jintdv:v:13:y:2001:i:2:p:153-168

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Web page: http://www3.interscience.wiley.com/journal/5102/home

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References

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Citations

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Cited by:
  1. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2010. "An Analysis on Technical Efficiency in Post-reform China," MPRA Paper 41034, University Library of Munich, Germany.
  2. Reuter, Ulrich, 2006. "What Kind of Education Does China Need? The Impact of Educational Attainment on Local Growth and Disparities," Working Paper Series RP2006/127, World Institute for Development Economic Research (UNU-WIDER).
  3. Dic Lo, 2004. "Assessing the Role of Foreign Direct Investment in China’s Economic Development: Macro Indicators and Insights from Sectoral-Regional Analyses," Working Papers 135, Department of Economics, SOAS, University of London, UK.
  4. Shu-Chen Chang, 2005. "The dynamic interactions among foreign direct investment, economic growth, exports and unemployment: evidence from Taiwan," Economic Change and Restructuring, Springer, vol. 38(3), pages 235-256, December.
  5. Zhang, Chuanguo & Zhuang, Lihuan, 2011. "The composition of human capital and economic growth: Evidence from China using dynamic panel data analysis," China Economic Review, Elsevier, vol. 22(1), pages 165-171, March.
  6. DOBSON, Steve & RAMLOGAN, Carlyn & STROBL, Eric, 2003. "Why do rates of convergence differ ? A meta-regression analysis," CORE Discussion Papers 2003020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  7. Artelaris, Panagiotis & Arvanitidis, Paschalis & Petrakos, George, 2006. "Theoretical and Methodological Study on Dynamic Growth Regions and Factors Explaining their Growth Performance," Papers DYNREG02, Economic and Social Research Institute (ESRI).
  8. Chi, Wei & Qian, Xiaoye, 2009. "The role of education in regional innovation activities and economic growth: spatial evidence from China," MPRA Paper 15779, University Library of Munich, Germany.
  9. Sailesh Tanna & Kitja Topaiboul, 2005. "Human Capital, Trade, FDI and Economic Growth in Thailand: What causes What?," DEGIT Conference Papers c010_046, DEGIT, Dynamics, Economic Growth, and International Trade.

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