Spatial dependence evaluation of agricultural technical efficiency—based on the stochastic frontier and spatial econometric model
文献类型: 外文期刊
作者: Yin Ziqi;Wu Jianzhai
作者机构:
关键词: Agricultural technical efficiency; Industrial agglomeration; Space metrology; Spatial dependence; Stochastic frontier
期刊名称: Sustainability (Switzerland)
ISSN: 2071-1050
年卷期: 2021 年 13 卷 5 期
页码:
收录情况: JCR(2021版)
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 technol-ogy. Further, there is an obvious spatial correlation and difference in agricultural technical effi-ciency. 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. © 2021 by the author. Licensee MDPI, Basel, Switzerland.
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