Affiliation:
1. College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China
2. School of Economics and Management, Huainan Normal University, Huainan 232038, China
3. College of Economics and Management, Northwest A&F University, Xianyang 712100, China
4. Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
Abstract
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.
Funder
Graduate Student Innovation Project of Xinjiang Uygur Autonomous Region
National Natural Science Foundation of China
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