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

文献类型： 外文期刊

第一作者： Yin, Ziqi

作者： Yin, Ziqi;Wu, Jianzhai

作者机构：

关键词： agricultural technical efficiency; spatial dependence; industrial agglomeration; stochastic frontier; space metrology

期刊名称：SUSTAINABILITY （ 影响因子：2.576； 五年影响因子：2.798 ）

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年卷期： 2021 年 13 卷 5 期

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收录情况： SCI

摘要： 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.

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