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.