R&D, human capital and environmental externality in an endogenous growth model
AbstractThis study constructs an endogenous growth model that incorporates the R&D sector, the education sector, and environmental problems. First, environmental impacts are considered. We show that, if government exercises appropriate policies and some parameter restrictions are satisfied, then the per-capita growth rate will become positive in the long run without environmental harm. Secondly, problems related to scale effects are considered. In typical growth models, an economy with a larger population grows faster. However, the scale effect has been rejected by Jones (1995). Our results suggest that the population level does not affect the economic growth rate.
Download InfoIf 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.
Bibliographic InfoArticle provided by Inderscience Enterprises Ltd in its journal Int. J. of Global Environmental Issues.
Volume (Year): 6 (2006)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://www.inderscience.com/browse/index.php?journalID=14
sustainable growth; environmental Kuznets curve; EKC; R&D; research and development; human capital; scale effect; economic growth; endogenous growth; education sector; environmental problems; environmental impact; government policy; environmental policy; population level; growth rate; sustainable development; sustainability.;
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Carlo Carraro & Enrica De Cian & Massimo Tavoni, 2009.
"Human capital formation and global warming mitigation: evidence from an integrated assessment model,"
2009_30, Department of Economics, University of Venice "Ca' Foscari".
- Carlo Carraro & Enrica De Cian & Massimo Tavoni, 2009. "Human Capital Formation and Global Warming Mitigation: Evidence from an Integrated Assessment Model," CESifo Working Paper Series 2874, CESifo Group Munich.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Graham Langley).
If references are entirely missing, you can add them using this form.