The Research of R&D Spillover and Total Factor Productivity of China

Wu Ming-e

doi:doi:10.11648/j.si.20170502.16

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The Research of R&D Spillover and Total Factor Productivity of China

Wu Ming-e

Published in Science Innovation (Volume 5, Issue 2)

Received: 11 April 2017 Accepted: Published: 12 April 2017

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Abstract

By estimating the index of capital services which has double characteristics of material quantity and price with perpetual inventory method and the index of labor input which can indicate quality change with Iterative Proportional Fitting method, we recalculate China’s total factor productivity and sources of economic growth from 1978 to 2010 by using growth accounting. Then we test the correlation between R&D spillover and TFP of China on two ways of international trade and FDI. The results show that the improvement of TFP in China depends on the comprehensive benefit of domestic R&D input and international R&D spillover. Independent R&D input is the dominant factor of China’s TFP ascension. R&D spillover from international trade and FDI has a time-lag effect on promoting China’s TFP, while has a cause-and-effect relationship in the long term.

Published in	Science Innovation (Volume 5, Issue 2)
DOI	10.11648/j.si.20170502.16
Page(s)	102-107
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

R&D Spillover, TFP, International Trade, FDI

References

[1]	李平,钱利.进口贸易与外商直接投资的技术溢出效应——对中国各地区技术进步的实证研究[J].财贸研究,2005(6):40-45。
[2]	张勇,古明明.再谈中国技术进步的特殊性——中国体现式技术进步的重估[J].数量经济技术经济研究,2013(8):3-19。
[3]	曹跃群,秦增强,齐倩.中国资本服务估算[J].统计研究,2012(12):45-52。
[4]	曹跃群,秦增强,齐倩.中国省际资本服务测量：概念、框架和指数构建[J].数量经济技术经济研究,2013(12):35-50。
[5]	吴明娥,曾国平,曹跃群.资源环境约束下基于资本服务的全要素生产率增长研究[J].中国人口•资源与环境,2015,25(5):83-91。
[6]	Jorgenson, D. Capital Theory and Investment Behavior [J]. American Economic Review, 1963, 53(2): 247-259.
[7]	任若恩,岳希明,郑海涛.中国全要素生产率的行业分析与国际比较——中国KLEMS项目[M].北京：科学出版社,2013。
[8]	岳希明,任若恩.测量中国经济的劳动投入：1982-2000年[J].经济研究,2008(3):16-28。
[9]	李宾,曾志雄.中国全要素生产率变动的再测算：1978~2007年[J].数量经济技术经济研究,2009(3):3-15。
[10]	高静,黄繁华.进口贸易与中国制造业全要素生产率——基于进口研发溢出的视角[J].世界经济研究,2013(11):34-41。

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Wu Ming-e. (2017). The Research of R&D Spillover and Total Factor Productivity of China. Science Innovation, 5(2), 102-107. https://doi.org/10.11648/j.si.20170502.16

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ACS Style

Wu Ming-e. The Research of R&D Spillover and Total Factor Productivity of China. Sci. Innov. 2017, 5(2), 102-107. doi: 10.11648/j.si.20170502.16

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AMA Style

Wu Ming-e. The Research of R&D Spillover and Total Factor Productivity of China. Sci Innov. 2017;5(2):102-107. doi: 10.11648/j.si.20170502.16

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@article{10.11648/j.si.20170502.16,
  author = {Wu Ming-e},
  title = {The Research of R&D Spillover and Total Factor Productivity of China},
  journal = {Science Innovation},
  volume = {5},
  number = {2},
  pages = {102-107},
  doi = {10.11648/j.si.20170502.16},
  url = {https://doi.org/10.11648/j.si.20170502.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20170502.16},
  abstract = {By estimating the index of capital services which has double characteristics of material quantity and price with perpetual inventory method and the index of labor input which can indicate quality change with Iterative Proportional Fitting method, we recalculate China’s total factor productivity and sources of economic growth from 1978 to 2010 by using growth accounting. Then we test the correlation between R&D spillover and TFP of China on two ways of international trade and FDI. The results show that the improvement of TFP in China depends on the comprehensive benefit of domestic R&D input and international R&D spillover. Independent R&D input is the dominant factor of China’s TFP ascension. R&D spillover from international trade and FDI has a time-lag effect on promoting China’s TFP, while has a cause-and-effect relationship in the long term.},
 year = {2017}
}

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TY  - JOUR
T1  - The Research of R&D Spillover and Total Factor Productivity of China
AU  - Wu Ming-e
Y1  - 2017/04/12
PY  - 2017
N1  - https://doi.org/10.11648/j.si.20170502.16
DO  - 10.11648/j.si.20170502.16
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 102
EP  - 107
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20170502.16
AB  - By estimating the index of capital services which has double characteristics of material quantity and price with perpetual inventory method and the index of labor input which can indicate quality change with Iterative Proportional Fitting method, we recalculate China’s total factor productivity and sources of economic growth from 1978 to 2010 by using growth accounting. Then we test the correlation between R&D spillover and TFP of China on two ways of international trade and FDI. The results show that the improvement of TFP in China depends on the comprehensive benefit of domestic R&D input and international R&D spillover. Independent R&D input is the dominant factor of China’s TFP ascension. R&D spillover from international trade and FDI has a time-lag effect on promoting China’s TFP, while has a cause-and-effect relationship in the long term.
VL  - 5
IS  - 2
ER  -

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Author Information

Wu Ming-e

College of Public Administration, Chongqing University, Chongqing, China

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APA Style

Wu Ming-e. (2017). The Research of R&D Spillover and Total Factor Productivity of China. Science Innovation, 5(2), 102-107. https://doi.org/10.11648/j.si.20170502.16

Copy | Download

ACS Style

Wu Ming-e. The Research of R&D Spillover and Total Factor Productivity of China. Sci. Innov. 2017, 5(2), 102-107. doi: 10.11648/j.si.20170502.16

Copy | Download

AMA Style

Wu Ming-e. The Research of R&D Spillover and Total Factor Productivity of China. Sci Innov. 2017;5(2):102-107. doi: 10.11648/j.si.20170502.16

Copy | Download

@article{10.11648/j.si.20170502.16,
  author = {Wu Ming-e},
  title = {The Research of R&D Spillover and Total Factor Productivity of China},
  journal = {Science Innovation},
  volume = {5},
  number = {2},
  pages = {102-107},
  doi = {10.11648/j.si.20170502.16},
  url = {https://doi.org/10.11648/j.si.20170502.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20170502.16},
  abstract = {By estimating the index of capital services which has double characteristics of material quantity and price with perpetual inventory method and the index of labor input which can indicate quality change with Iterative Proportional Fitting method, we recalculate China’s total factor productivity and sources of economic growth from 1978 to 2010 by using growth accounting. Then we test the correlation between R&D spillover and TFP of China on two ways of international trade and FDI. The results show that the improvement of TFP in China depends on the comprehensive benefit of domestic R&D input and international R&D spillover. Independent R&D input is the dominant factor of China’s TFP ascension. R&D spillover from international trade and FDI has a time-lag effect on promoting China’s TFP, while has a cause-and-effect relationship in the long term.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - The Research of R&D Spillover and Total Factor Productivity of China
AU  - Wu Ming-e
Y1  - 2017/04/12
PY  - 2017
N1  - https://doi.org/10.11648/j.si.20170502.16
DO  - 10.11648/j.si.20170502.16
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 102
EP  - 107
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20170502.16
AB  - By estimating the index of capital services which has double characteristics of material quantity and price with perpetual inventory method and the index of labor input which can indicate quality change with Iterative Proportional Fitting method, we recalculate China’s total factor productivity and sources of economic growth from 1978 to 2010 by using growth accounting. Then we test the correlation between R&D spillover and TFP of China on two ways of international trade and FDI. The results show that the improvement of TFP in China depends on the comprehensive benefit of domestic R&D input and international R&D spillover. Independent R&D input is the dominant factor of China’s TFP ascension. R&D spillover from international trade and FDI has a time-lag effect on promoting China’s TFP, while has a cause-and-effect relationship in the long term.
VL  - 5
IS  - 2
ER  -

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