A new study of the Chinese regions in a neoclassical framework of models of growth
Abstract
This study tests economic growth and convergence across the Chinese provinces during the period 1981--2005 based on augmented neoclassical growth models where land is included as a production input. A positive steady-state growth of per capita output cannot be sustained if the population growth rate or the output elasticity of land is sufficiently high. The study implements a panel data approach and shows that land may have an output elasticity as high as 1/3, suggesting that the natural environment indeed poses an important constraint on China's economic growth. In this study of the Chinese provinces, the panel data approach has implied much higher rates of conditional convergence in per capita output, compared with cross-section estimations.Download Info
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.
Bibliographic Info
Article provided by Taylor and Francis Journals in its journal Journal of Chinese Economic and Business Studies.
Volume (Year): 10 (2012)
Issue (Month): 3 (November)
Pages: 209-228
Contact details of provider:
Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=109387
Order Information:
Web: http://www.tandf.co.uk/journals/subscription.asp
Related research
Keywords:References
No references listed on IDEASYou can help add them by filling out this form.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:taf:jocebs:v:10:y:2012:i:3:p:209-228For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
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.

