Economic Growth Across Space and Time: Subprovincial Evidence from Mainland China

41 Pages Posted: 4 Jan 2008

See all articles by Declan Curran

Declan Curran

University of Hamburg - Faculty of Economics and Business Administration

Michael Funke

University of Hamburg - Department of Economics; Tallinn University of Technology (TUT)

Jue Wang

Bank of Finland - Institute for Economies in Transition (BOFIT)

Date Written: December 31, 2007

Abstract

This paper considers the persistent differences in economic performance across Chinese regions. We introduce a new county- and city-level dataset that spans all of mainland China and provides a detailed view of Chinese regional growth over the period 1997-2005. Non-parametric kernel density estimation is employed to establish the cross-sectional GDP per capita distribution, and the distributional dynamics are investigated using the probability matrix technique and associated stochastic kernel estimator. A set of explanatory variables is then introduced, and several regressions are run to test for conditional-convergence and to pinpoint influential factors for economic growth across counties and cities.

Keywords: regional economic growth, China

JEL Classification: O11, R11

Suggested Citation

Curran, Declan and Funke, Michael and Wang, Jue, Economic Growth Across Space and Time: Subprovincial Evidence from Mainland China (December 31, 2007). BOFIT Discussion Paper No. 21/2007, Available at SSRN: https://ssrn.com/abstract=1080508 or http://dx.doi.org/10.2139/ssrn.1080508

Declan Curran (Contact Author)

University of Hamburg - Faculty of Economics and Business Administration ( email )

Von-Melle-Park 5
Hamburg, 20146
Germany

Michael Funke

University of Hamburg - Department of Economics ( email )

Von-Melle-Park 5
room 2128 C rise
Hamburg, 20146
Germany

Tallinn University of Technology (TUT) ( email )

Ehitajate tee 5
Tallinn, 12618
Estonia

Jue Wang

Bank of Finland - Institute for Economies in Transition (BOFIT) ( email )

Helsinki 00101
Finland

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