On the relevance of exports for regional output growth in China
AbstractDespite high economic growth during the last decades, China is still vulnerable to shocks arising from industrial states. The advanced economies determine Chinese export performance, with subsequent effects on output growth. Using a production function approach, this paper examines to which extent regional GDP growth in China is export driven. In a panel of 28 Chinese provinces, series are splitted into common and idiosyncratic components, the latter being stationary. The results indicate cointegration between the common components of GDP, the capital stock and exports. In equilibrium, exports increase GDP by more than their impact expected from the national accounts. While exports and capital are weakly exogenous, GDP responds to deviations from the long run. An adjustment pattern can be detected for almost all regions, except of some provinces in the Western part of the country. --
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Bibliographic InfoPaper provided by European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics in its series Discussion Papers with number 331.
Date of creation: 2013
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Chinese economy; panel cointegration; export led growth;
Other versions of this item:
- Christian Dreger & Yanqun Zhang, 2013. "On the Relevance of Exports for Regional Output Growth in China," Discussion Papers of DIW Berlin 1264, DIW Berlin, German Institute for Economic Research.
- F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
- O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-03-02 (All new papers)
- NEP-DEV-2013-03-02 (Development)
- NEP-TRA-2013-03-02 (Transition Economics)
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