Proceedings of the Second International Conference On Economic and Business Management (FEBM 2017)

Research on total factor productivity of manufacturing enterprises in the Yangtze River economic belt

Authors
Hua Yuan, Yun Zhang, Hongzhong Zhao
Corresponding Author
Hua Yuan
Available Online October 2017.
DOI
https://doi.org/10.2991/febm-17.2017.100How to use a DOI?
Keywords
the Yangtze River economic belt; total factor productivity; data envelopment analysis; manufacturing enterprises; industrial sectors
Abstract
Manufacturing, the important industries in the Yangtze River Economic Belt, is a hot issue for many scholars to study. In this paper, Data Envelopment Analysis(DEA) method is used for calculating the total factor productivity (TFP) of enterprises in the Yangtze River Economic Belt. The results show that TFP of manufacturing enterprises in these areas has gone through four stages of development: steady decline--decline--fast rise--maintenance from 2005 to 2014. As for industrial sectors, seven sectors including tobacco, textiles, leathers, furs, feathers, shoemaking and medicine manufacturing showed rise in TFP, and TFP of high-tech manufacturing enterprises increased while low or medium-tech declined.
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Proceedings
Second International Conference On Economic and Business Management (FEBM 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
October 2017
ISBN
978-94-6252-423-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/febm-17.2017.100How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hua Yuan
AU  - Yun Zhang
AU  - Hongzhong Zhao
PY  - 2017/10
DA  - 2017/10
TI  - Research on total factor productivity of manufacturing enterprises in the Yangtze River economic belt
BT  - Second International Conference On Economic and Business Management (FEBM 2017)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-17.2017.100
DO  - https://doi.org/10.2991/febm-17.2017.100
ID  - Yuan2017/10
ER  -