HUBEI AGRICULTURAL SCIENCES ›› 2024, Vol. 63 ›› Issue (3): 163-170.doi: 10.14088/j.cnki.issn0439-8114.2024.03.025

• Agricultural Production Efficiency • Previous Articles     Next Articles

The impact of digital economy on grain production efficiency

YANG Hui-wen, JI-zhang Han-yu, FENG Tian-yi   

  1. Business School, Hohai University, Nanjing 211100, China
  • Received:2022-12-30 Online:2024-03-25 Published:2024-04-07

Abstract: The measurement index system of digital economy was designed from three dimensions: digital infrastructure, digital industry and digital talents. The projection pursuit technology was used for dimensionality reduction processing to measure the development level of digital economy and the development level of each dimension. Then, the grain production efficiency was measured by constructing SBM-DEA model. Finally, the fixed effect model was conducive to the empirical analysis of the impact of digital economy on grain production efficiency during the 13th Five-Year Plan period. The results showed that the leading factors in promoting the development of digital economy had inter-provincial differences and regional characteristics. Compared with Guangdongʼs digital industry cluster, Beijing was more dependent on digital talent resources. Digital economy had a positive effect on improving grain production efficiency, but the influence ability was low. From the perspective of dimension, digital talent and digital infrastructure had a more significant effect on the improvement of food production efficiency compared with digital industry. Therefore, local governments should promote the coordinated development of the digital economy in a dynamic and balanced manner in light of local conditions, enhance the synergy between digital factors and agricultural production factors, and unleash the vitality of the digital economy in promoting food production and agricultural transformation in a precise and efficient manner.

Key words: digital economy, grain production efficiency, projection pursuit, SBM-DEA, influence effect

CLC Number: