Testing the Neoclassical Theory of Economic Growth: Evidence from Chinese Provinces
There has been renewed empirical work recently on testing the neoclassical model of economic growth using data on various groups of countries. But none of the cross-country regressions includes China, the largest developing economy in the world. This study utilises both cross-sectional and panel data on provinces of China over the reform period 1978-1995 to examine the extent to which the growth process in this country can be explained by the augmented Solow-Swan model. We found that in spite of restrictive assumptions used, the model provides a fairly good description of cross-sectional data. The levels and growth rates of GDP per capita are shown to be higher in regional economies with lower population growth, greater openness to foreign countries and more investment in physical and human capital. In addition, regional economies are shown to converge both conditionally and unconditionally over the reform period. However, the quantitative implications of the augmented Solow-Swan model are not borne out in panel data. Copyright 1998 by Kluwer Academic Publishers
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 31 (1998)
Issue (Month): 2-3 ()
|Contact details of provider:|| Web page: http://www.springer.com|
|Order Information:||Web: http://www.springer.com/economics/development/journal/10644/PS2|
When requesting a correction, please mention this item's handle: RePEc:kap:ecopln:v:31:y:1998:i:2-3:p:117-32. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.