Study on the Evolution of Spatiotemporal Dynamics and Regional Differences in the Development of Digital Agriculture in China
文献类型: 外文期刊
作者: Zhou, Xinxin 1 ; Zhang, Bangbang 1 ; Chen, Tong 4 ;
作者机构: 1.Xinjiang Agr Univ, Coll Econ & Management, Urumqi 830052, Peoples R China
2.Huainan Normal Univ, Sch Econ & Management, Huainan 232038, Peoples R China
3.Northwest A&F Univ, Coll Econ & Management, Xianyang 712100, Peoples R China
4.Xinjiang Acad Agr Sci, Urumqi 830091, Peoples R China
关键词: digital agriculture; spatial patterns; regional differences; dynamic evolution
期刊名称:SUSTAINABILITY ( 影响因子:3.3; 五年影响因子:3.6 )
ISSN:
年卷期: 2024 年 16 卷 16 期
页码:
收录情况: SCI
摘要: In the current study, an index system for digital agriculture growth was constructed. The index encompasses six key dimensions, namely production, operation, service, management, sustainability, and digital information infrastructure. Data from 30 Chinese provinces between 2011 and 2020 were collected and analyzed using the entropy method, Moran index, Dagum's Gini coefficient, and the kernel density estimate. An in-depth analysis of the development level and spatial patterns, dynamic evolution and intra- and inter-regional differences in China (i.e., eastern, western, and central regions) was conducted. From the result, an overall growing trend of digital agriculture in China was observed, with a relatively more advanced status in the eastern region. A positive spatial dependence, showing a "high-high" and "low-low" (HH, LL) trend, was obtained. However, the regional spatial dependence has generally weakened since 2019. The intra-regional differences were large in western and eastern areas, while the greatest inter-regional differences were unveiled between western and eastern regions. The country's overall differences mainly stemmed from inter-regional differences. The overall kernel density curves moved to the right over time, showing a trend of a gradual rise in digital agricultural growth, accompanied by a polarization pattern in the western region.
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