Analysis of Chinese Grain Total Factor Productivity Based on DEA–Malmquist Index Method
- DOI
- 10.2991/aebmr.k.191217.172How to use a DOI?
- Keywords
- Grain, Total Factor Productivity, DEA–Malmquist Index Method
- Abstract
In the context of agricultural big data, production efficiency not only reflects the efficiency of agricultural products competitiveness and resource allocation, but is regarded as an important indicator of industrial development prospects. Based on the data of Chinese grain production input and output from 1978 to 2018, by using the DEA-based nonparametric productivity index method, the paper finds out the fact that the growth tendency of food total factor productivity is mainly negative (68.75%). Specifically, the change of technical efficiency (Efch) and the scale efficiency index (Sech) are highly convergent, reaching the highest value in the policy implementation year of 2004-2005; the changes of Technology Progress Index (Tech) and TFP are highly convergent as well. The change of TFP is mainly affected by the Technology Progress Index (Tech), and the wheat and corn input factors are redundant. Based on the above research, the technology progress index of soybean and rice is the key to lowering the total factor productivity of China’s grain. Redundancy of wheat and corn production resources is the key to the low efficiency of grain and grain production in China. Therefore, the focus of improving China’s grain total factor productivity is to improve the technological progress of soybeans and rice, increase the utilization rate of wheat and corn resources, and adapt China’s food security production to an unstable agricultural product trade policy.
- 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/).
Cite this article
TY - CONF AU - Yue Hui PY - 2019 DA - 2019/12/20 TI - Analysis of Chinese Grain Total Factor Productivity Based on DEA–Malmquist Index Method BT - Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019) PB - Atlantis Press SP - 1009 EP - 1012 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.191217.172 DO - 10.2991/aebmr.k.191217.172 ID - Hui2019 ER -