Raw Data of Network Attention in Baidu Index.xlsx

Based on Baidu Index data, index measurement, spatial geographic analysis, regression model and geodetector were used to analyse the temporal and spatial evolution characteristics and influencing factors of the network attention on China-foreign cooperative education in China from 2011 to 2022. The results show: (1) The network attention on China-foreign cooperative education shows an overall fluctuating upward trend, with the rapid growth rate of network attention during 2011-2016 and reaching its peak in 2019; the seasonal difference of network attention is significant, peaking in June-August each year. (2) The distribution of network attention on China-foreign cooperative education among provinces is mainly characterized by aggregation and uneven, the very high and high network attention zones are mainly distributed in the Bohai Rim, Jiangsu, Zhejiang and Shanghai, as well as Guangdong and Sichuan. (3) The spatial distribution of network attention on China-foreign cooperative education is mainly affected by 8 factors: number of higher education institutions, number of full-time teachers in higher education institutions, number of students in higher education institutions, number of fixed broadband access subscribers, number of cell phone subscribers, GDP, permanent residents population, and annual average temperature.