Content of Digital Village in our journal

Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Reference Manager ProCite BibTeX RefWorks Toggle Thumbnails Select Outstanding problems and optimization path of digital rural construction：Taking Anhui Province as an example CHEN Yun-jiao HUBEI AGRICULTURAL SCIENCES    2023, 62 (2): 98-102.   DOI: 10.14088/j.cnki.issn0439-8114.2023.02.019 Abstract （201）      PDF （1393KB）（117）       Knowledge map    Save Based on the field survey, the typical practices and outstanding problems in the pilot areas of digital rural construction in Anhui Province were explored, and the results showed that some pilot villages formed typical practices of rural digital governance, agricultural production intelligence, new farmer literacy digitization, and new rural economic model. The mismatch between planning and demand, the imperfection of the digital service system, the delay in the construction of digital facilities, the lack of digital professionals, and the weak awareness of digital empowerment of villagers were the problems that needed to be solved at present. Based on this, the paper proposed the optimized path of policy content planning, internal talent empowerment, the activation of the main market, the integration and development of digital elements, the dual recruitment and the accumulation of financial intelligence, and the consolidation of the foundation to promote the revitalization of digital rural construction in Anhui Province. Reference | Related Articles | Metrics Select Measurement and spatial distribution of rural households’ digital capital in Shandong Province HUANG Fei-fei, XU Xiu-mei HUBEI AGRICULTURAL SCIENCES    2023, 62 (2): 103-110.   DOI: 10.14088/j.cnki.issn0439-8114.2023.02.020 Abstract （171）      PDF （1633KB）（79）       Knowledge map    Save Based on the digital capital framework created by Ragneda for reference, the indicator system of rural households’ digital capital in Shandong Province was constructed, and the level of rural households’ digital capital was measured using the entropy method and K-means clustering algorithm. With the help of ArcGIS and GeoDa software, the spatial correlation analysis method was used to explore the spatial distribution characteristics of rural households’ digital capital. The research showed that there were differences in the contribution of the three economic circles to the overall digital capital of rural households in Shandong Province; rural households’ digital contact level was higher than their digital application ability. The digital capital of rural households showed a strong spatial positive correlation, and there were high-high clustering and low-low clustering. Finally, the corresponding policy recommendations were put forward. Reference | Related Articles | Metrics page Page 1 of 4 Total 8 records First page Prev page Next page Last page