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Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model

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  • Ziqi Yin

    (Agricultural Information Institute, Chinese Academy of Agricultural Science, No.12 Zhongguancun South Street, Haidian District, Beijing 100081, China)

  • Jianzhai Wu

    (Agricultural Information Institute, Chinese Academy of Agricultural Science, No.12 Zhongguancun South Street, Haidian District, Beijing 100081, China)

Abstract

In recent years, through the implementation of a series of policies, such as the delimitation of major grain producing areas and the construction of advantageous and characteristic agricultural product areas, the spatial distribution of agriculture in China has changed significantly; however, research on the impact of such changes on the efficiency of agricultural technology is still lacking. Taking 11 cities in Hebei Province as the research object, this study examines the spatial dependence of regional agricultural technical efficiency using the stochastic frontier analysis and spatial econometric analysis. The results show that the improvement in agricultural technical efficiency is evident in all cities in Hebei Province from 2008 to 2017, but there is scope for further improvement. Industrial agglomeration has statistical significance in improving the efficiency of agricultural technology. Further, there is an obvious spatial correlation and difference in agricultural technical efficiency. Optimizing the spatial distribution of agricultural production, promoting the innovation, development, and application of agricultural technology, and promoting the expansion of regional elements can contribute to improving agricultural technical efficiency.

Suggested Citation

  • Ziqi Yin & Jianzhai Wu, 2021. "Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model," Sustainability, MDPI, vol. 13(5), pages 1-12, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2708-:d:509384
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