分类： 图书馆学、情报学 >> 情报学 提交时间： 2024-06-20
摘要： With the deepening fuse of medical health information and the internet, online health information seeking behavior has been more frequent and it is increasingly important to understand it from a macroscopic perspective. Based on the information ecology perspective, it collected 40 college students’ network health information search data by semi-structured interview to explore the five factors involved in the network healthy information search behavior under the information ecology perspective, i.e. information users, network health information, other groups, information platforms and social environment influencing factors and their interaction. Firstly, the factors of finding individual characteristics, willingness to use, information value, platform service, interactivity, social ethos and other 17 topics (including 36 sub-themes) affect the behavior of network healthy information search. There are differences and similarities in the roles and manifestations of these influencing factors in the five factors of information ecological environment. Secondly, there are 10 pairs of interactions among the five factors involved in the online healthy information search behavior, which are different in the "distance ", the intensity of the interaction and the degree of influence on the search behavior. This paper introduces the information ecology theory into the information search behavior, makes up the information ecology theory about the information search behavior research, provides the certain theory basis for exploring the users’ search behavior influence factor and the interaction relation, is advantageous to guide the users to search the healthy information.
分类： 农、林、牧、渔 >> 农业基础学科 提交时间： 2023-02-15 合作期刊: 《干旱区科学》
摘要： Green development of agriculture is important for achieving coordinated and high-quality regional development for China. Using provincial data from 1990 to 2020, this work explored the dynamics of agricultural green development efficiency of 31 provinces in China, its spatiotemporal characteristics, and its driving factors using a super-efficiency slacks-based measure (Super-SBM), the Malmquist productivity index (MPI), spatial autocorrelation, and a geographic detector. Results showed that the overall agricultural green development efficiency showed a U-shaped trend, suggesting a low level of efficiency. Although a gradient difference was visible among eastern, central, and western regions, the efficiency gap narrowed each year. Technological progress and efficiency both promoted agricultural green development efficiency, especially technological progress. Agricultural green development efficiency had significant spatial aggregation characteristics, but Moran's I result showed a downward trend from 2015 to 2020, indicating a risk of spatial dispersion in the later stage. The provinces with high agricultural green development efficiency were mainly concentrated in the eastern region, while those with low efficiency were concentrated in the central and western regions. Agricultural green development efficiency was influenced by various factors, which showed differences according to time and region. The impact of the labor force's education level and technological progress increased during the study period, and significantly facilitated agricultural green development efficiency in the eastern region, while the central and western regions were still affected by the scale level and environmental regulation, reflecting the advantages of the eastern region in terms of economy and technology. In the future, strengthening agricultural scientific and technological innovation and deepening interprovincial cooperation can help further improve the level of green agricultural development. In addition, local governments should formulate more precise local agricultural support policies based on macro-level policies and local conditions.
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