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China's Regional Convergence in Panels with Multiple Structural Breaks

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Author Info
Matsuki, Takashi
Usami, Ryoichi
Abstract

This study investigates the existence of regional convergence of per capita outputs in China from 1952–2004, particularly focusing on considering the presence of multiple structural breaks in the provincial-level panel data. First, the panel-based unit root test that allows for occurrence of multiple breaks at various break dates across provinces is developed; this test is based on the p-value combination approach suggested by Fisher (1932). Next, the test is applied to China’s provincial real per capita outputs to examine the regional convergence in China. To obtain the p-values of unit root tests for each province, which are combined to construct the panel unit root test, this study assumes three data generating processes: a driftless random walk process, an ARMA process, and an AR process with cross-sectionally dependent errors in Monte Carlo simulation. The results obtained from this study reveal that the convergence of the provincial per capita outputs exists in each of the three geographically classified regions—the Eastern, Central, and Western regions—of China.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 10167.

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Date of creation: 17 Mar 2007
Date of revision: 17 May 2008
Handle: RePEc:pra:mprapa:10167

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Related research
Keywords: panel unit root test; multiple breaks; combining p-values; nonstationary panels; China; convergence;

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Find related papers by JEL classification:
O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing
C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data

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