Analysis of Grain Production Efficiency Differences in China Based on DEA-Malmquist Index
- DOI
- 10.2991/978-94-6463-256-9_100How to use a DOI?
- Keywords
- Grain production efficiency; DEA model; Malmquist index
- Abstract
This paper presents a cross-sectional analysis of the data related to the input and output of grain production efficiency in 31 provinces of China in 2020 through the DEA-BCC model. It is concluded that the overall pure technical efficiency of grain production in China is good and the scale efficiency is weak, while the comprehensive efficiency development is influenced by both pure technical efficiency and scale efficiency. At the same time, a longitudinal analysis of production efficiency was carried out using the Malmquist index method with time as the axis. The study concluded that from 2011 to 2020, the value of grain TFP in China showed an upward trend, while the efficiency of technological progress showed an inverse trend to technical efficiency. It indicates that China's grain production suffers from the problems of uncoordinated inputs and outputs, poor infrastructure and low efficiency in transforming production resources.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Fanglan Ding AU - Chenghua Liu AU - Yanlin Wang PY - 2023 DA - 2023/10/09 TI - Analysis of Grain Production Efficiency Differences in China Based on DEA-Malmquist Index BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 1020 EP - 1027 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_100 DO - 10.2991/978-94-6463-256-9_100 ID - Ding2023 ER -