China's Agricultural Total Factor Productivity and Its Influencing Factors An Empirical Analysis Based on Provincial Panel Data from 2005 to 2016

DOI

10.2991/iccese-19.2019.415How to use a DOI?

Keywords

total factor productivity; regional agriculture; DEA-malmquist index; influencing factors

Abstract

In this paper, DEA-Malmquist index method is used to analyze agricultural total factor productivity and its main influencing factors in 31 provinces in China from 2005 to 2016. Through empirical analysis, it was found that the average annual growth rate of agricultural total factor productivity during this period was two point one percent, compared with the primary industry GDP annual growth rate, the contribution rate of TFP is thirty point four five percent. The development of the three major regions in the east, middle, and west still presents an unbalanced characteristic, and the total factor productivity of agriculture has declined in turn. At the same time, with the development of economy, the most important factor affecting the total factor productivity of agriculture is the proportion of wage income, while the proportion of grain sown area has the constraint effect.

Copyright

© 2019, 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  - Sujun Shao
PY  - 2019/04
DA  - 2019/04
TI  - China's Agricultural Total Factor Productivity and Its Influencing Factors An Empirical Analysis Based on Provincial Panel Data from 2005 to 2016
BT  - Proceedings of the 3rd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2019)
PB  - Atlantis Press
SP  - 1914
EP  - 1921
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccese-19.2019.415
DO  - 10.2991/iccese-19.2019.415
ID  - Shao2019/04
ER  -