关键词: 百度指数, 网络关注度, 广州长隆, 时空差异, 影响因素

Abstract: This paper uses Guangzhou Chimelong's network attention data of China's 31 provinces (cites) during 2015 to 2019 by using statistical and economically geographical methods and Baidu Index to study its temporal-spatial evolution based on five indicators, seasonal concentration index, variance coefficient, Herfinahl-Hirschman index, primacy index and geographical convergence index. The results show that China pays a rising network attention on Chimelong with a seasonal variance at seasonal concentration index being 1.991 1, 1.138 9, 1.954 3, 1.324 3 and 1.842 2 for the years 2012 to 2019. Provincial network attention has variance coefficient is 0.8, primacy index close to 3 with a higher convergence. Across the whole China, variance coefficients from the western, central, eastern is 0.349 3, 0.361 7, 0.332 8, 0.381 2 and 0.384 3, at a geographical convergence index above 60, implying a big but slowly rising difference. In the central and western, primacy index is 1, Herfinahl-Hirschman index is near to 0, and geographical convergence index lies between 31 to 38, meaning a balanced spatial structure, while in the eastern, the primacy index close to 3, geographical convergence index between 37 to 40, suggesting a higher convergence and a relatively-unbalanced spatial structure. Its temporal-spatial variance of network attention on Chimelong is a comprehensive aftermath of economy, population, network development and geographical distance with correlation coefficients at 0.693, 0.607 and 0.479 with the former three and -0.577 with the last one.

Key words: Baidu Index, network attention, Guangzhou's Chimelong, temporal-spatial variance, factor