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Do Permanent Shocks Explain Income Levels? A Common Cycle-Common Trend Analysis Of Regional Income Levels For China

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  • PareshKumar Narayan
  • Seema Narayan

Abstract

In this paper, we analyse per capita income levels of China's three main regions: the western region, the eastern region and the central region using common cycle and common trend tests. Our main contribution is that we impose the common cycle and common trend restrictions in decomposing shocks into permanent and transitory components. We find that: (i) there is evidence for two cointegrating relationships and one common cycle; and (ii) the variance decomposition analysis of shocks provides evidence that over short horizons, permanent shocks play a large role in explaining variations in regional per capita incomes. Copyright 2008 The Authors. Journal compilation 2008 Blackwell Publishing Asia Pty Ltd

Suggested Citation

  • PareshKumar Narayan & Seema Narayan, 2008. "Do Permanent Shocks Explain Income Levels? A Common Cycle-Common Trend Analysis Of Regional Income Levels For China," Pacific Economic Review, Wiley Blackwell, vol. 13(5), pages 656-662, December.
  • Handle: RePEc:bla:pacecr:v:13:y:2008:i:5:p:656-662
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    1. Yuan, Jia-Hai & Kang, Jian-Gang & Zhao, Chang-Hong & Hu, Zhao-Guang, 2008. "Energy consumption and economic growth: Evidence from China at both aggregated and disaggregated levels," Energy Economics, Elsevier, vol. 30(6), pages 3077-3094, November.
    2. Issler, Joao Victor & Vahid, Farshid, 2001. "Common cycles and the importance of transitory shocks to macroeconomic aggregates," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 449-475, June.
    3. Benhabib, Jess & Wen, Yi, 2004. "Indeterminacy, aggregate demand, and the real business cycle," Journal of Monetary Economics, Elsevier, vol. 51(3), pages 503-530, April.
    4. Vahid, F & Engle, Robert F, 1993. "Common Trends and Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 341-360, Oct.-Dec..
    5. Benassy-Quere, Agnes & Mignon, Valerie & Penot, Alexis, 2007. "China and the relationship between the oil price and the dollar," Energy Policy, Elsevier, vol. 35(11), pages 5795-5805, November.
    6. Martin Raiser, 1998. "Subsidising inequality: Economic reforms, fiscal transfers and convergence across Chinese provinces," Journal of Development Studies, Taylor & Francis Journals, vol. 34(3), pages 1-26.
    7. Zou, Gaolu & Chau, K.W., 2006. "Short- and long-run effects between oil consumption and economic growth in China," Energy Policy, Elsevier, vol. 34(18), pages 3644-3655, December.
    8. Xiao-Ming Li, 2005. "China'S Economic Growth: What Do We Learn From Multiple-Break Unit Root Tests?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(2), pages 261-281, May.
    9. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    10. Ajit Bhalla & Shujie Yao & Zongyi Zhang, 2003. "Regional economic performance in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(1), pages 25-39, March.
    11. PareshKumar Narayan, 2004. "Are Output Fluctuations Transitory? New Evidence From 24 Chinese Provinces," Pacific Economic Review, Wiley Blackwell, vol. 9(4), pages 327-336, December.
    12. Li, Xiao-Ming, 2000. "The Great Leap Forward, Economic Reforms, and the Unit Root Hypothesis: Testing for Breaking Trend Functions in China's GDP Data," Journal of Comparative Economics, Elsevier, vol. 28(4), pages 814-827, December.
    13. Vahid, Farshid & Engle, Robert F., 1997. "Codependent cycles," Journal of Econometrics, Elsevier, vol. 80(2), pages 199-221, October.
    14. Yu, Qiao, 1998. "Capital investment, international trade and economic growth in China: Evidence in the 1980-1990s," China Economic Review, Elsevier, vol. 9(1), pages 73-84.
    15. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    16. Chen, Baizhu & Feng, Yi, 2000. "Determinants of economic growth in China: Private enterprise, education, and openness," China Economic Review, Elsevier, vol. 11(1), pages 1-15.
    17. Keating, John W. & Nye, John V., 1999. "The Dynamic Effects of Aggregate Demand and Supply Disturbances in the G7 Countries," Journal of Macroeconomics, Elsevier, vol. 21(2), pages 263-278, April.
    18. Narayan, Paresh Kumar, 2008. "Evidence of panel stationarity from Chinese provincial and regional income," China Economic Review, Elsevier, vol. 19(2), pages 274-286, June.
    19. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    20. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    21. Vahid, Farshid & Issler, Joao Victor, 2002. "The importance of common cyclical features in VAR analysis: a Monte-Carlo study," Journal of Econometrics, Elsevier, vol. 109(2), pages 341-363, August.
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    Cited by:

    1. Balcilar, Mehmet & Gupta, Rangan & Wohar, Mark E., 2017. "Common cycles and common trends in the stock and oil markets: Evidence from more than 150years of data," Energy Economics, Elsevier, vol. 61(C), pages 72-86.
    2. Narayan, Paresh Kumar & Narayan, Seema & Smyth, Russell, 2011. "Energy consumption at business cycle horizons: The case of the United States," Energy Economics, Elsevier, vol. 33(2), pages 161-167, March.

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