Beschreibung:
Economic forecasting is a scientific decision-making tool, and it is one of the important basis for the government to formulate economic plans, predict the implementation of the plan, and guide the implementation of the plan. Current knowledge about the use of online news in the prediction of economic patterns in China is limited, especially considering the spatio-temporal dynamics over time. This study explored the spatio-temporal patterns of economic output values in Yinzhou, Ningbo, China, and proposed Generalized linear model (GLM) and Geographically weighted regression (GWR) model to predict the dynamics. The results indicated that there was a great potential to predict economic dynamics using online news, with better performance in the GWR model. The findings suggested online news combining with spatio-temporal approach can better forecast economic dynamics, which can be seen as a pre-requisite for developing a surveillance system to enhance the traditional one. The proposed model may be extended to greater geographic area to validate such approach