Analysis of Grain Production Efficiency Differences in China Based on DEA-Malmquist Index

Fanglan Ding, Chenghua Liu and Yanlin Wang ()
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Fanglan Ding: Chengdu University of Information Technology, School of Logistics
Chenghua Liu: Chengdu University of Information Technology, School of Logistics
Yanlin Wang: Chengdu University of Information Technology, School of Logistics

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 1020-1027 from Springer

Abstract: 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.

Keywords: Grain production efficiency; DEA model; Malmquist index (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_100

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DOI: 10.2991/978-94-6463-256-9_100

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