Research of R&D Marginal Productivity Driving Economic Convergence

DOI

10.2991/icetms.2013.258How to use a DOI?

Keywords

convergence mechanism;R&D marginal productivity; convergence; kernel density distribution

Abstract

The convergence mechanisms of regional economics have become one of hot issues. In this paper we propose the concept of R&D marginal productivity to study economic convergence, which is defined as the economic marginal product relative to R&D capital stock. We find: whether from the angle of convergence or from dynamic evolution of kernel density distribution, R&D marginal productivity diverges from the year 1999 to 2001, while converges from 2001 to 2009; GDP per labor diverges from 2000 to 2002, and converges from 2002 to 2010. The convergence of GDP per labor lags one period relative to R&D marginal productivity. That confirms that R&D marginal productivity drives the convergence of GDP per labor. We also find there are some other convergence mechanisms to play roles in China.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lingyu Ren
AU  - Zheng Wang
PY  - 2013/06
DA  - 2013/06
TI  - Research of R&D Marginal Productivity Driving Economic Convergence
BT  - Proceedings of the 2013 Conference on Education Technology and Management Science (ICETMS 2013)
PB  - Atlantis Press
SP  - 949
EP  - 952
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetms.2013.258
DO  - 10.2991/icetms.2013.258
ID  - Ren2013/06
ER  -