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has been cited by the following article:

• TITLE: Study on Spatial Econometrics of Level Spatial Data of Knowledge Spillover Effect in Industrial Industry in Guangdong Province

  AUTHORS: Yao Wang

  KEYWORDS: Knowledge Spillover, Hierarchical Data, Industrial Structure

  JOURNAL NAME: Open Journal of Business and Management, Vol.6 No.3, June 7, 2018

  ABSTRACT: This paper uses an econometric model of hierarchical data space to do empirical research on the knowledge spillover effect of industrial industries in Guangdong Province. Specifically, three-dimensional panel data (regions, industries, and time) of 21 prefecture-level cities and 31 industrial industries in Guangdong Province from 2005 to 2016 were used and spatial correlation, time factors, and hierarchical nesting effects were taken into consideration to establish hierarchical data. The spatial econometric model uses an industrial structure to empirically analyze the impact of the knowledge spillover effect of the industrial industry in Guangdong on its economic development.