Quantitative method and model for forecasting R&D expenditures in China

Bangwen Cheng, Rong He, Hongjin Yang and Jun Yang

Research Evaluation, 2005, vol. 14, issue 1, 51-56

Abstract: Scientifically forecasting gross domestic expenditure devoted to research and development (GERD) and the ratio of GERD to GDP in the future is an important task in formulating long-term S&T development policies in China. For quite a long time, China mainly adopted expert opinion based on qualitative analysis to proceed to forecast. To make the forecasting more scientific and reliable, this paper puts forward a quantitative forecast method and model, which is already used in the estimation of the amounts of R&D activity in China over the next 15 years. Copyright , Beech Tree Publishing.

Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.3152/147154405781776274 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:rseval:v:14:y:2005:i:1:p:51-56

Access Statistics for this article

Research Evaluation is currently edited by Julia Melkers, Emanuela Reale and Thed van Leeuwen

More articles in Research Evaluation from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().