Author(s)

Bin Wan

Affiliation(s)

Dongchangfu District Science and Technology Service Center of Liaocheng City, Liaocheng 252004, Shandong, China.

Corresponding Author

Bin Wan

ABSTRACT

This paper uses the statistical data of 288 cities above the prefecture level in the country from 2001 to 2018 to study the diffusion of information and communication technology (ICT) innovation and its influencing factors. Firstly, the improved Bass model is used to measure the diffusion speed of ICT innovation, and then a panel data fixed-effect dynamic SAR model of ICT innovation diffusion and its influencing factors is constructed, and the parameters of the dynamic SAR model are estimated by the pseudo-maximum likelihood estimation method. The research shows that the time and space effect of ICT innovation diffusion is significant, and innovation diffusion is not only affected by local influences but also by neighboring cities; factors such as population density, population flow, average household ICT consumption expenditure, and ICT supply capacity have a significant impact on its innovation diffusion, and These factors have significant short-term spatial spillover effects and long-term return feedback effects.

KEYWORDS

Information and communication technology (ICT); Bass model; Dynamic SAR model; Spatial effect; Quasi-maximum likelihood estimation method.

CITE THIS PAPER

Wan Bin. Spatial econometric analysis of information and communication technology innovation diffusion and its influence factors. World Journal of Information Technology. 2023, 1(1): 1-10.

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